research methods field study definition

A guide to field studies

Last updated

18 April 2023

Reviewed by

Cathy Heath

Field studies allow researchers to observe and collect data in real-world settings. Unlike laboratory-based or traditional research methods, field studies enable researchers to investigate complex phenomena within their environment, providing a deeper understanding of the research context.

Researchers can use field studies to investigate a wide range of subjects, from the behavior of animals to the practices of businesses or the experiences of individuals in a particular setting.

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• What is a field study?

A field study is a research method that involves conducting observations and collecting data in a natural setting. This method includes observing, interviewing, and interacting with participants in their environment, such as a workplace, community, or natural habitat.

Field studies can take many forms, from ethnographic studies involving extended periods of observation and using an anthropological lens to shorter-term studies focusing on specific behaviors or events. Regardless of its form, a successful field study requires careful planning, preparation, and execution to ensure the data collected is valid and reliable.

• How to plan a field study

Planning a field study is a critical first step in ensuring successful research. Here are some steps to follow when preparing your field study:

1. Define your research question

When developing a good research question , you should make it clear, concise, and specific. It should also be open-ended, allowing for various possible answers rather than a simple yes or no response. Your research question should also be relevant to the broader field of study and contribute new knowledge to the existing literature.

Once you have a defined research question, identify the key variables you need to study and the data you need to collect. It might involve developing a hypothesis or research framework outlining the relationships between different variables and how you’ll measure them in your study.

2. Identify your research site

A research site is a location where you’ll conduct your study and collect data. Here are the types of research sites to consider when planning a field study:

Natural habitats: For environmental or ecological research, you may need to conduct your study in a natural habitat, such as a forest, wetland, or coral reef.

Communities : If your research relates to social or cultural factors, you may need to study a particular community, such as a neighborhood, village, or city.

Organizations : For questions relating to organizational behavior or management, your location will be in a business environment, like a nonprofit or government agency.

Events : If your research question relates to a particular event, you may need to conduct your study at that event, such as, at a protest, festival, or natural disaster.

Ensure your research site represents the population you're studying. For example, if you're exploring cultural beliefs, ensure the community represents the larger population and you have access to a diverse group of participants.

3. Determine your data collection methods

Choosing a suitable method will depend on the research question, the type of data needed, and the characteristics of the participants. Here are some commonly used data collection methods in field studies:

Interviews : You can collect data on people's experiences, perspectives, and attitudes. In some instances, you can use phone or online interviews.

Observations : This method involves watching and recording behaviors and interactions in a specific setting. 

Surveys : By using a survey , you can easily standardize and tailor the questions to provide answers for your research. Respondents can complete the survey in person, by mail, or online.

Document analysis : Organizational reports, letters, diaries, public records, policies, or social media posts can be analyzed to gain context. 

When selecting data collection methods, consider factors such as the availability of participants, the ethical considerations involved, and the resources needed to carry out each method. For example, conducting interviews may require more time and resources than administering a survey.

4. Obtain necessary permissions

Depending on the research location and the nature of the study, you may require permission from local authorities, organizations, or individuals before conducting your research. 

This process is vital when working with human or animal subjects and conducting research in sensitive or protected environments.

Here are some steps you can take to obtain the necessary permissions:

Identify the relevant authorities , including local governments, regulatory bodies, research institutions, or private organizations, to obtain permission for your research.

Reach out to the relevant authorities to explain the nature of your study. Be ready to hand out detailed information about your research. 

If you're conducting research with human participants, you must have their consent . You'll also need to ensure the participants have the right to withdraw from the study at any time.

Obtain necessary permits from regulatory bodies or local authorities. For example, if you're conducting research in a protected area, you may need a research permit from the relevant government agency.

The process of obtaining permissions can be time-consuming, and failure to obtain the necessary permits can lead to legal and ethical issues.

• Examples of field research

Researchers can apply field research to a wide range of disciplines and phenomena. Here are some examples of field research in different fields:

Anthropology : Anthropologists use field research methods to study different communities' social and cultural practices. For instance, an anthropologist might conduct participant observation in a remote community to understand their customs, beliefs, and practices.

Ecology : Ecologists use field research methods to learn the behavior of organisms and their interactions with the environment. For example, an ecologist might conduct field research on the behavior of birds in their natural habitat to understand their feeding habits, nesting patterns, and migration.

Sociology : Sociologists may use field research methods to study social behavior and interactions. For instance, a sociologist might conduct participant observation in a workplace to understand organizational culture and communication dynamics.

Geography : Geographers use field research methods to study different regions’ physical and human contexts. For example, a geographer might conduct field research on the impact of climate change on a particular ecosystem, such as a forest or wetland.

Psychology : Psychologists use field research methods to study human behavior in natural settings. For instance, a psychologist might conduct field research on the effects of stress on students in a school setting.

Education : Researchers studying education may use field research methods to study teaching and learning in real-world settings. For example, you could use field research to test the effectiveness of a new teaching method in a classroom setting.

By using field research methods, researchers can gain a deeper understanding of the complexities of the natural world, human behavior, and social interaction theory and how they affect each other.

• Advantages of field research

Field research has several advantages over other research methods, including:

Authenticity : Field research conducted in natural settings allows researchers to observe and study real-life phenomena as it happens. This authenticity enhances the validity and accuracy of the data collected.

Flexibility : Field research methods are flexible and adaptable to different research contexts. Researchers can adjust their strategies to meet the specific needs of their research questions and participants and uncover new insights as the research unfolds.

Rich data : Field research provides rich and detailed data, often including contextual information that’s difficult to capture through other research methods. This depth of knowledge allows for a more comprehensive and nuanced understanding of the research topic.

Novel insights : Field research can lead to discoveries that may not be possible with other research methods. Observing and studying phenomena in natural settings can provide unique perspectives and new understandings of complex issues.

Field research methods can enhance the quality and validity of research findings and lead to new insights and discoveries that may not be possible with other research methods.

• Disadvantages of field research

While field research has several advantages, there are also some disadvantages that researchers need to consider, including:

Time-consuming : Researchers need to spend time in the field, possibly weeks or months, which can be challenging, especially if the research site is remote or requires travel.

Cost : Conducting field research can be costly, especially if the research site is remote or requires specialized equipment or materials.

Reliance on participants : It may be challenging to recruit participants, and various factors, such as personal circumstances, attitudes, and beliefs, may influence their participation.

Ethical considerations : Field research may raise ethical concerns, mainly if the research involves vulnerable populations or sensitive topics. 

Causality: Researchers may have little control over the environmental or contextual variables they are studying. This can make it difficult to establish causality and then generalize their results with previous research. 

Researchers must carefully weigh the advantages and disadvantages of field research and select the most appropriate research method based on their research question, participants, and context.

What is another name for field study?

Field study is also known as field research or fieldwork. These terms are often used interchangeably and refer to research methods that involve observing and collecting data in natural settings.

What is the difference between a field study and a case study?

Why is field study important.

Field study is critical because it allows researchers to study real-world phenomena in natural settings. This study can also lead to novel insights that may not be possible with other research methods.

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Home Market Research

What is Field Research: Definition, Methods, Examples and Advantages

What is Field Research?

Field research is defined as a qualitative method of data collection that aims to observe, interact and understand people while they are in a natural environment. For example, nature conservationists observe behavior of animals in their natural surroundings and the way they react to certain scenarios. In the same way, social scientists conducting field research may conduct interviews or observe people from a distance to understand how they behave in a social environment and how they react to situations around them.

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Field research encompasses a diverse range of social research methods including direct observation, limited participation, analysis of documents and other information, informal interviews, surveys etc. Although field research is generally characterized as qualitative research, it often involves multiple aspects of quantitative research in it.

Field research typically begins in a specific setting although the end objective of the study is to observe and analyze the specific behavior of a subject in that setting. The cause and effect of a certain behavior, though, is tough to analyze due to presence of multiple variables in a natural environment. Most of the data collection is based not entirely on cause and effect but mostly on correlation. While field research looks for correlation, the small sample size makes it difficult to establish a causal relationship between two or more variables.

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Methods of Field Research

Field research is typically conducted in 5 distinctive methods. They are:

• Direct Observation

In this method, the data is collected via an observational method or subjects in a natural environment. In this method, the behavior or outcome of situation is not interfered in any way by the researcher. The advantage of direct observation is that it offers contextual data on people management , situations, interactions and the surroundings. This method of field research is widely used in a public setting or environment but not in a private environment as it raises an ethical dilemma.

• Participant Observation

In this method of field research, the researcher is deeply involved in the research process, not just purely as an observer, but also as a participant. This method too is conducted in a natural environment but the only difference is the researcher gets involved in the discussions and can mould the direction of the discussions. In this method, researchers live in a comfortable environment with the participants of the research design , to make them comfortable and open up to in-depth discussions.

• Ethnography

Ethnography is an expanded observation of social research and social perspective and the cultural values of an  entire social setting. In ethnography, entire communities are observed objectively. For example,  if a researcher would like to understand how an Amazon tribe lives their life and operates, he/she may chose to observe them or live amongst them and silently observe their day-to-day behavior.

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• Qualitative Interviews

Qualitative interviews are close-ended questions that are asked directly to the research subjects. The qualitative interviews could be either informal and conversational, semi-structured, standardized and open-ended or a mix of all the above three. This provides a wealth of data to the researcher that they can sort through. This also helps collect relational data. This method of field research can use a mix of one-on-one interviews, focus groups and text analysis .

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A case study research is an in-depth analysis of a person, situation or event. This method may look difficult to operate, however, it is one of the simplest ways of conducting research as it involves a deep dive and thorough understanding the data collection methods and inferring the data.

Steps in Conducting Field Research

Due to the nature of field research, the magnitude of timelines and costs involved, field research can be very tough to plan, implement and measure. Some basic steps in the management of field research are:

• Build the Right Team: To be able to conduct field research, having the right team is important. The role of the researcher and any ancillary team members is very important and defining the tasks they have to carry out with defined relevant milestones is important. It is important that the upper management too is vested in the field research for its success.
• Recruiting People for the Study: The success of the field research depends on the people that the study is being conducted on. Using sampling methods , it is important to derive the people that will be a part of the study.
• Data Collection Methodology: As spoken in length about above, data collection methods for field research are varied. They could be a mix of surveys, interviews, case studies and observation. All these methods have to be chalked out and the milestones for each method too have to be chalked out at the outset. For example, in the case of a survey, the survey design is important that it is created and tested even before the research begins.
• Site Visit: A site visit is important to the success of the field research and it is always conducted outside of traditional locations and in the actual natural environment of the respondent/s. Hence, planning a site visit alongwith the methods of data collection is important.
• Data Analysis: Analysis of the data that is collected is important to validate the premise of the field research and  decide the outcome of the field research.
• Communicating Results: Once the data is analyzed, it is important to communicate the results to the stakeholders of the research so that it could be actioned upon.

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Field Research Notes

Keeping an ethnographic record is very important in conducting field research. Field notes make up one of the most important aspects of the ethnographic record. The process of field notes begins as the researcher is involved in the observational research process that is to be written down later.

Types of Field Research Notes

The four different kinds of field notes are:

• Job Notes: This method of taking notes is while the researcher is in the study. This could be in close proximity and in open sight with the subject in study. The notes here are short, concise and in condensed form that can be built on by the researcher later. Most researchers do not prefer this method though due to the fear of feeling that the respondent may not take them seriously.
• Field Notes Proper: These notes are to be expanded on immediately after the completion of events. The notes have to be detailed and the words have to be as close to possible as the subject being studied.
• Methodological Notes: These notes contain methods on the research methods used by the researcher, any new proposed research methods and the way to monitor their progress. Methodological notes can be kept with field notes or filed separately but they find their way to the end report of a study.
• Journals and Diaries: This method of field notes is an insight into the life of the researcher. This tracks all aspects of the researchers life and helps eliminate the Halo effect or any research bias that may have cropped up during the field research.

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Reasons to Conduct Field Research

Field research has been commonly used in the 20th century in the social sciences. But in general, it takes a lot of time to conduct and complete, is expensive and in a lot of cases invasive. So why then is this commonly used and is preferred by researchers to validate data? We look at 4 major reasons:

• Overcoming lack of data: Field research resolves the major issue of gaps in data. Very often, there is limited to no data about a topic in study, especially in a specific environment analysis . The research problem might be known or suspected but there is no way to validate this without primary research and data. Conducting field research helps not only plug-in gaps in data but collect supporting material and hence is a preferred research method of researchers.
• Understanding context of the study: In many cases, the data collected is adequate but field research is still conducted. This helps gain insight into the existing data. For example, if the data states that horses from a stable farm generally win races because the horses are pedigreed and the stable owner hires the best jockeys. But conducting field research can throw light into other factors that influence the success like quality of fodder and care provided and conducive weather conditions.
• Increasing the quality of data: Since this research method uses more than one tool to collect data, the data is of higher quality. Inferences can be made from the data collected and can be statistically analyzed via the triangulation of data.
• Collecting ancillary data: Field research puts the researchers in a position of localized thinking which opens them new lines of thinking. This can help collect data that the study didn’t account to collect.

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Examples of Field Research

Some examples of field research are:

• Decipher social metrics in a slum Purely by using observational methods and in-depth interviews, researchers can be part of a community to understand the social metrics and social hierarchy of a slum. This study can also understand the financial independence and day-to-day operational nuances of a slum. The analysis of this data can provide an insight into how different a slum is from structured societies.
• U nderstand the impact of sports on a child’s development This method of field research takes multiple years to conduct and the sample size can be very large. The data analysis of this research provides insights into how the kids of different geographical locations and backgrounds respond to sports and the impact of sports on their all round development.
• Study animal migration patterns Field research is used extensively to study flora and fauna. A major use case is scientists monitoring and studying animal migration patterns with the change of seasons. Field research helps collect data across years and that helps draw conclusions about how to safely expedite the safe passage of animals.

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Advantages of Field Research

The advantages of field research are:

• It is conducted in a real-world and natural environment where there is no tampering of variables and the environment is not doctored.
• Due to the study being conducted in a comfortable environment, data can be collected even about ancillary topics.
• The researcher gains a deep understanding into the research subjects due to the proximity to them and hence the research is extensive, thorough and accurate.

Disadvantages of Field Research

The disadvantages of field research are:

• The studies are expensive and time-consuming and can take years to complete.
• It is very difficult for the researcher to distance themselves from a bias in the research study.
• The notes have to be exactly what the researcher says but the nomenclature is very tough to follow.
• It is an interpretive method and this is subjective and entirely dependent on the ability of the researcher.
• In this method, it is impossible to control external variables and this constantly alters the nature of the research.

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World Leaders in Research-Based User Experience

Field studies.

January 12, 2024 2024-01-12

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UX researchers are responsible for learning about users, their goals, challenges, and activities, and for bringing that understanding to the organization. If you notice gaps in your knowledge and you want to understand what user behavior is like in real life, then it might be time to leave the office to run a field study.

In This Article:

What is a field study, types of field studies, when is the best time to run a field study, when should you consider other methods, tips for planning field studies.

A field study is a type of context research that takes place in the user's natural environment (sometimes referred to as in situ , Latin for "in place") as opposed to a lab or an orchestrated setting.

Other research methods like secondary (desk) research , diary studies , unmoderated usability testing , remote - or lab-moderated (in-person) usability research  are often popular because they are either easier to set up or they are less resource-intensive (or both) compared to a field study. However, field studies can fill the gaps left by these other methods:

• Observing users in real scenarios will provide you with specific data that directly applies to your audience. Field studies that focus on specific tasks help researchers learn how to best support these tasks. For example, do people tend to use the product or service in the car? While checking in at a facility? At a kiosk? Field studies can reveal how well (or not well) the design supports realistic use cases.
• The context in which people do their tasks can reveal things you wouldn’t know to ask about, such as problems that crop up when new tools or processes are introduced into existing work practices. It also allows you to understand how well systems work in their normal context of use: when people are, say, distracted, in noisy places, or interacting with other people.

The range of possible field studies is very wide. Field studies can be either entirely immersive and open-ended or less immersive and more directed, involving prototypes or usage of specific existing systems.

Direct Observation

Direct observation  is a purely observational study in which the researcher is a “fly on the wall;" they do not intervene in the participants’ activities, nor do they ask any questions. This method is useful for conducting research into user processes — for instance, to help create natural task flows. It is also great for learning users' vocabularies and mental models , understanding businesses’ interactions with customers, and discovering common workarounds — for example by listening in on support calls, watching people moving through amusement parks, or observing sales staff and customers in stores.

Contextual Inquiry

Contextual inquiry  involves a combination of in-depth observation and interviews of a small sample of users to gain a robust understanding of work practices and behaviors. Most qualitative usability tests   in the field fall under this category.

Customer-Site Visits

Customer-site visits are a combination of direct observations and customer interviews, often led by the customer or client. For example, you might take a tour of a facility or walk through a system with them. These visits can help you understand usability issues that arise in particular industries or business contexts, or at certain scales.

Ethnography

Ethnography  requires complete immersion within a person’s or group’s natural setting for a sustained period, in some cases, living as a member of the group. It allows you to gain insight into mental models and social situations that can help products and services fit into people’s lives. This type of research is particularly helpful when your target audience lives in a culture or environment that is different from yours.

Field studies can be done at any time , but it often makes sense to do them before design (or redesign) begins, because such research can lead to fundamental shifts in understanding your users and can change what you would design for them. In particular, it makes sense to use these in the discovery phase of research, while you are still understanding the problem space.

Field studies can also be used in later stages of design or development, as an evaluative research technique . Sometimes this is referred to as “field testing” or “beta testing.” Field testing is a form of field research in which an existing prototype is utilized in its typical context.

If money were no object, we would probably all do much more field research. Unfortunately, field methods have not become cheaper at the same rate as other usability methods, and they can be challenging to facilitate. Beyond reasons of resource constraint, you might decide to stay out of the field in certain other cases.

Remote, Moderated Usability Research

With the advent of digital meeting tools and video chat, field studies can somewhat be facilitated remotely , with participants and facilitators each in their chosen locations. This remote, interactive approach can often be  cheaper and faster  than field or lab studies, since everyone avoids expensive and time-consuming travel to unfamiliar places. Being in your own space also offers comfort, familiar tools, and convenience.

Remote, moderated studies  make sense when:

• Your  participants are all over the map , and traveling to meet in person is too difficult or expensive.
• It’s important to get answers quickly and cheaply, and  you already understand the people, tasks, and contexts in depth .
• You need to conduct a few sessions at a time , for example when testing early designs with only a couple of users for each iteration.
• Many stakeholders or interested parties wish to observe the session , which would be impractical and disruptive during a field study, either by limiting rapport or literally crowding the room. These folks could be “hidden” from participants’ eyes with digital-meeting tools.

Still, remote moderated studies are often limited in how much external context is observable. In other words: you can’t see what the user’s camera doesn’t show you. That missing context is often important when you are trying to understand people and their environment, and extra steps need to be taken  to ensure these studies yield fruitful insights.

Lab Research (Including Traditional and XR or Simulation-Based Research)

You might wish to conduct in-person research in labs, conference rooms, or other spaces when:

• What you are testing or researching is particularly confidential, sensitive, or private.
• You need to record the session (but cannot do so remotely or in the users’ secured location).
• You have several observers who wish to observe these sessions and you can place them into an observer room with a one-way mirror.
• The scenario you need to study is impossible, impractical, or unethical to observe in person (for example: natural disasters, traumatic events, or high-risk scenarios), and must be simulated with extended-reality (XR) headsets or other technology.

While planning your field study , there are steps you can take to optimize your time spent observing users in their context. Ensure your research plan considers the following:

What Are Your Research Questions ?

Carefully consider what your team wants to learn, and how that (and other contextual factors) might factor into the field study’s setup.

• Participants: Who are your target users? Depending on the research method you use, you might need a professional recruiter or a team member to help you  screen and schedule  people.
• Setting: Go where your potential users are most likely doing the tasks you would like to observe: workplaces, schools, shopping centers, airports, and so on. Is there a specific environment or scenario that would be most realistic for your target users? Are there travel considerations (for you and the participants)? Do you have a private room where you can debrief with fellow researchers and observers?
• Timing: What time of day are these activities typically happening (or, alternatively, when in the customer journey)? Will you need to coordinate these sessions outside your normal working hours to accommodate participant schedules?
• Method: How much (or how little) do your participants reveal about their workflow? Does probing seem to significantly disrupt your users’ workflows? Will you need to prepare followup questions for after the observational portion to limit disruptions in users’ natural process? Or, are these questions better asked contextually, in the moment?

Who Is Accompanying You During the Field Study?

While there are certainly cases where a sole researcher will conduct field research alone, it’s far more common to be accompanied by other people, be it fellow researchers (either taking notes or running sessions concurrently) or observers.

Fellow Researchers

During a field study, side chatter can not only be distracting, but it can also bias the results of your study. Similarly, lack of alignment about research questions and intent behind studying tasks can result in researchers observing the wrong things or missing key details. To reduce chatter and increase alignment with others, consider having a research plan and facilitator guide available, with research questions clearly outlined. That way, researchers can not only follow quietly and confidently, but can run sessions in a consistent manner that reduces bias.

Decide whether to allow stakeholders to watch, and if so, what logistical constraints need to be communicated to them. Although it’s often  strategically important and desirable to involve stakeholders in observing user research , it’s not always possible with field studies. Sometimes observers won’t fit in the space, or they would make the research situation too intimidating or otherwise create an awkward situation for the participants. When that happens, you won’t get to observe the most natural behavior and you might not get the candid information that you need.

However, sometimes outside researchers can’t be left alone with participants as a matter of organizational policy, so observers  must  be present. In any case, consider having “slots” for observers to claim, and provide clear guidelines during signup to ensure observers know how to observe and how to help collect data , so they won’t  behave badly .

Do You Have the Right Permissions?

Make sure you have permission to run the study; not just from supervisors or participants, but also from the facility managers. When applicable, work with an ally onsite. When visiting a business, for example, you might need help recruiting, scheduling, reminding, rewarding, and briefing participants. An onsite helper can escort you, introduce you, and help you with equipment or space issues. You may need to get permission in advance to conduct research in public or commercial spaces.

When you encounter problems or behavior that you don’t understand around existing products or services, field studies can help you take a step back and find a new perspective, based on realistic user behavior in realistic contexts.

Doing research where people are can also be crucial to understanding whether new products and services will help, hinder, or fall flat for the people you aim to assist. Set aside assumptions and allow insights to reframe what you’re creating and how it will affect the experiences of the people you’re designing for.

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Chapter 12: Field Research: A Qualitative Research Technique

12.1 Field Research: What it is?

Field research is a qualitative method of data collection aimed at understanding, observing, and interacting with people in their natural settings. In the context of research, observation is more than just looking. It involves looking in a planned and strategic way with a purpose (Palys & Atchison, 2014, p. 189). As such, when social scientists talk about being in “the field,” they are talking about being out in the real world and involved in the everyday lives of the people they are studying. Sometimes researchers use the terms ethnography or participant observation to refer to this method of data collection; the former is most commonly used in anthropology, while the latter is used commonly in sociology. For our purposes, we will use two main terms: field research and participant observation . You might think of field research as an umbrella term that includes the myriad activities that field researchers engage in when they collect data: they participate; they observe; they usually interview some of the people they observe; and they typically analyze documents or artifacts created by the people they observe.

Researchers conducting participant observation vary in the extent to which they participate or observe. Palys and Atchison (2014, p. 198) refer to this as the “participant-observer continuum,” ranging from complete participant to complete observer. This continuum is demonstrated in Figure 12.1. However, these researchers, as to do other researchers, question whether a researcher can be at the “complete observer” end of the continuum. Rather, they contend, it is increasingly acknowledged that, even as an observer, the researcher is participating in what is being studied and therefore cannot really be a complete observer.

Indeed, it is important to acknowledge that there are pros and cons associated with both aspects of the participant/observer’s role. For example, depending upon how fully researchers observer their subjects (as opposed to participating), they may miss important aspects of group interaction and may not have the opportunity to fully grasp what life is like for the people they observe. At the same time, sitting back and observing may grant researchers opportunities to see interactions that they would miss, were they more involved.

Ethnography is not to be confused with ethnomethodology. Ethnomethodology will be defined and described in Chapter 13

Participation has the benefit of allowing researchers a real taste of life in the group that they study. Some argue that participation is the only way to understand what it is that is being investigated. On the other hand, fully immersed participants may find themselves in situations that they would rather not face but from which cannot excuse themselves because they have adopted the role of a fully immersed participant. Further, participants who do not reveal themselves as researchers must face the ethical quandary of possibly deceiving their subjects. In reality, much field research lies somewhere near the middle of the observer/participant continuum. Field researchers typically participate to at least some extent in their field sites, but there are also times when they may strictly observe.

Research Methods for the Social Sciences: An Introduction Copyright © 2020 by Valerie Sheppard is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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What is Field Research? Definition, Types, Methods, Examples

Appinio Research · 05.04.2024 · 30min read

Have you ever wondered how researchers gather data about real-life situations, behaviors, and interactions? Field research holds the answer. Field research is like stepping into the world around us to study things as they naturally happen. It's about going beyond the confines of a lab or a controlled environment to observe, interact with, and collect data from people, communities, or natural settings. Whether it's understanding how people make decisions, studying the behavior of animals in their habitats, or exploring cultural practices in different societies, field research offers a window into the complexities of our world. It's a hands-on approach that allows you to immerse yourself in the context you're studying, gaining firsthand insights and uncovering patterns that might not be apparent in artificial settings. From interviewing participants to conducting observations and surveys, field researchers employ a variety of techniques to capture the richness and diversity of human experiences and natural phenomena. In this guide, we'll explore the ins and outs of field research, from its importance and applications to practical tips for planning, conducting, and analyzing field studies.

What is Field Research?

Field research is a qualitative data collection method that involves studying phenomena in their natural settings. Unlike laboratory experiments or simulations, field research takes place in real-world environments, allowing you to observe, interact with, and gather data from participants or phenomena as they naturally occur. This approach enables researchers to gain firsthand insights into complex social, behavioral, or environmental dynamics, providing rich and contextually embedded data for analysis and interpretation.

Importance of Field Research

Field research plays a crucial role in various disciplines and industries, serving as a cornerstone for generating new knowledge, understanding real-world phenomena, and informing decision-making and practice.

Here is why field research is important:

• Contextual Understanding:  Field research allows researchers to study phenomena in their natural contexts, providing a nuanced understanding of the social, cultural, and environmental factors that shape behavior, attitudes, and experiences. By immersing themselves in the field, you can capture the intricacies and complexities of real-life situations that may not be apparent in controlled laboratory settings.
• Insights into Human Behavior:  Field research provides valuable insights into human behavior, interactions, and relationships in diverse contexts. By observing and interacting with participants in their natural environments, researchers can uncover patterns, motivations, and social dynamics that influence individual and group behaviors. This understanding is essential for addressing societal challenges, designing interventions, and improving policy and practice.
• Generating Grounded Theory:  Field research often serves as the foundation for grounded theory development, where theoretical frameworks and hypotheses emerge from empirical observations and data analysis. By systematically collecting and analyzing data from the field, you can generate new theories, concepts, or models that are grounded in real-world phenomena and have practical relevance and applicability.
• Validating and Supplementing Existing Knowledge:  Field research provides an opportunity to validate or supplement existing knowledge derived from laboratory studies, surveys, or secondary data sources. By corroborating findings across different methods and contexts, you can enhance the credibility and robustness of their conclusions and contribute to the accumulation of knowledge in their respective fields.
• Informing Policy and Practice:  Field research findings have direct implications for policy development, program planning, and practice in various sectors such as healthcare, education, social services, and environmental management . By generating evidence-based insights and recommendations, field research can inform decision-making processes, guide resource allocation, and improve the effectiveness and relevance of interventions and policies.

Field research offers a unique opportunity to explore, understand, and address real-world phenomena in their natural contexts. By embracing the complexities and nuances of the field, researchers can generate valuable insights, advance theoretical understanding, and make meaningful contributions to scholarship, practice, and society at large.

How to Prepare for Field Research?

Laying the groundwork for your research journey is crucial before diving into the field. This involves a series of preparatory steps aimed at ensuring clarity, focus, and feasibility in your approach.

1. Define Research Objectives

Your research objectives serve as the guiding light throughout your field research endeavor. They delineate the purpose of your study and provide a clear direction for your investigative efforts. When defining your objectives, consider the overarching goals you aim to achieve and the specific outcomes you hope to attain through your research. Whether it's understanding a particular phenomenon, exploring a societal issue, or testing a theoretical proposition, articulate your objectives with precision and clarity.

2. Choose a Research Topic

Selecting the right research topic is paramount to the success of your field research project. Your topic should be aligned with your interests, expertise, and the broader context of your field of study. Consider the relevance, novelty, and significance of potential topics, and choose one that resonates with your intellectual curiosity and research goals. Additionally, ensure that your chosen topic is feasible within the constraints of time, resources, and access to data or participants.

3. Develop Research Questions

Research questions serve as the compass that guides your inquiry and shapes the trajectory of your research journey. These questions should be framed in a way that allows for systematic investigation and exploration of the phenomenon under study. When developing your research questions, strive for clarity, specificity, and relevance to your chosen topic. Consider the scope of inquiry, the level of detail required, and the potential implications of your questions for theory, practice, or policy.

4. Formulate Hypotheses

Hypotheses provide a framework for hypothesis-driven research, allowing you to make predictions about the relationships or patterns you expect to observe in your data. If your research is hypothesis-driven, formulate clear and testable hypotheses that articulate the expected outcomes or associations based on existing theory or empirical evidence. Ensure your hypotheses are falsifiable, meaning they can be rigorously tested and potentially disproven through empirical investigation.

5. Review Existing Literature

Before venturing into the field, take the time to immerse yourself in the existing literature relevant to your research topic. A comprehensive literature review not only provides valuable insights into the current state of knowledge but also helps you identify gaps, contradictions, or areas needing further exploration. Synthesize and critically evaluate the findings, theories, and methodologies presented in the literature, and use this knowledge to inform your own research design , questions, and hypotheses.

6. Secure Necessary Permissions and Resources

Obtaining the requisite permissions and resources is essential for the smooth execution of your field research project. Depending on the nature of your study, you may need to seek ethical approval from institutional review boards or obtain permits for conducting research in specific locations or with certain populations.

Additionally, ensure you have access to the necessary resources, such as funding, equipment, transportation, and logistical support, to carry out your research effectively. Be proactive in addressing potential challenges or barriers that may arise during the planning phase, and seek guidance or assistance as needed to navigate the regulatory and logistical requirements of your research endeavor.

How to Plan Field Research?

As you transition from the preparatory phase to the implementation stage, meticulous planning becomes essential to ensure the success and efficiency of your field research endeavors. Let's delve into the key components of planning field research, from selecting appropriate methodologies to anticipating and mitigating potential challenges.

1. Select Suitable Research Methods

Choosing the proper research methods is pivotal to the success of your field research project. Your research objectives, questions, and the nature of the phenomenon under investigation should guide the selection process. Consider the strengths and limitations of various research methodologies, such as qualitative, quantitative, or mixed methods approaches, and choose the one that best aligns with your research goals. Factors to consider include:

• The level of depth and detail required.
• The type of data you aim to collect.
• The accessibility of research participants or sites.

Be prepared to adapt and refine your chosen methods as you gain insights and experience in the field.

2. Design Research Instruments

Once you've identified your research methods, the next step is to design the instruments or tools you'll use to collect data. Whether it's interview guides, survey questionnaires , observation protocols, or experimental materials , your research instruments should be meticulously crafted to elicit relevant and reliable information from your participants.

Pay attention to the clarity, comprehensiveness, and validity of your instruments, ensuring that they align with your research objectives and are appropriate for your target population or context. Pilot testing your instruments with a small sample of participants can help identify and address any ambiguities or issues before full-scale implementation.

3. Determine Sampling Techniques

Sampling is a critical aspect of field research, influencing the representativeness and generalizability of your findings. There are various sampling techniques available, each suited to different research designs and objectives. Consider factors such as the size and diversity of your target population, the accessibility of potential participants, and the level of precision required for your study.

Standard sampling techniques include probability sampling methods like simple random sampling, stratified sampling , or cluster sampling , as well as non-probability sampling methods like convenience sampling, purposive sampling, or snowball sampling. Choose the sampling technique that best balances practical considerations with the need for valid and reliable data.

4. Create a Research Schedule

Developing a well-structured research schedule is essential for keeping your field research project on track and ensuring you meet your deadlines and milestones. Start by breaking down your research activities into manageable tasks and allocating timeframes for each stage of the process, from pre-fieldwork preparation to data analysis and reporting.

• Be realistic in your estimations and build in buffer time for unexpected delays or challenges that may arise during fieldwork.
• Consider factors such as seasonal variations, logistical constraints, and the availability of participants when scheduling your research activities.
• Regularly review and update your schedule as needed to accommodate changes or revisions to your plans.

5. Identify Potential Challenges and Mitigation Strategies

Field research is inherently unpredictable, and you're likely to encounter various challenges and obstacles along the way. Anticipating these challenges proactively and developing mitigation strategies can help minimize their impact on your research outcomes. Common challenges in field research include logistical issues, recruitment difficulties, ethical dilemmas, and interpersonal conflicts.

Take the time to identify potential risks and vulnerabilities inherent in your research design and context, and develop contingency plans or alternative courses of action to address them. Collaborate with peers, mentors, or experienced researchers to brainstorm solutions and draw on their insights and expertise. By being prepared and adaptable, you can navigate the complexities of field research with confidence and resilience.

How to Conduct Field Research?

Now that you've laid the groundwork and meticulously planned your field research project, it's time to roll up your sleeves and immerse yourself in the field.

Data Collection Techniques

Data collection is the heart of field research, enabling you to gather firsthand insights and observations from the field. You can employ several techniques to collect data, depending on your research objectives, context, and the nature of your study.

• Observational Methods:  Direct observation involves systematically observing and documenting behaviors, interactions, or phenomena in natural settings without interfering or influencing the subjects. This method is particularly useful for studying social interactions, environmental dynamics, or animal behavior.
• Interviewing:   Interviews allow researchers to engage in structured, semi-structured, or unstructured conversations with participants to gather in-depth insights, perspectives, or experiences related to the research topic. Depending on logistical constraints and participant preferences, interviews can be conducted face-to-face, over the phone, or via digital platforms.
• Surveys and Questionnaires :  Surveys involve administering standardized questionnaires or surveys to a sample of respondents to collect quantitative data on their attitudes, beliefs, behaviors, or demographics. Surveys can be distributed in person, via mail, email, or online platforms, depending on the target population and accessibility.
• Focus Groups :  Focus groups bring together a small group of participants to engage in facilitated discussions or brainstorming sessions around specific topics or issues. This method allows you to explore group dynamics, consensus, or dissent among participants and generate rich qualitative data through interaction and dialogue.

Choose the data collection techniques that best align with your research objectives, methodology, and participants' preferences. Be mindful of ethical considerations, informed consent procedures, and the need to maintain confidentiality and privacy during data collection.

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Fieldwork Logistics

Effective management of fieldwork logistics is essential for the smooth execution of your research project and the well-being of both researchers and participants. This entails careful planning, coordination, and organization of various logistical aspects, including participant recruitment, site selection, equipment management, and safety protocols.

• Recruiting Participants:  Identify and recruit eligible participants using appropriate sampling techniques and recruitment strategies. Clearly communicate the purpose and expectations of the study, obtain informed consent, and address any concerns or questions raised by participants.
• Establishing Field Sites:  Select and secure suitable field sites or locations where data collection will take place. Consider factors such as accessibility, safety, privacy, and the relevance of the site to your research objectives. Obtain any necessary permits or permissions required for conducting research in specific locations.
• Managing Equipment and Supplies:  Ensure that you have all the necessary equipment, materials, and resources required for data collection, recording, and storage. This may include audio or video recording devices, notebooks, pens, measuring instruments, or digital devices for data entry.
• Ensuring Research Ethics and Safety:  Adhere to ethical principles and guidelines governing research with human subjects, animals, or sensitive environments. Prioritize participant welfare and safety by implementing appropriate risk management measures, emergency procedures, and protocols for handling sensitive or confidential information.

Regularly assess and reassess the logistical needs and challenges encountered during fieldwork, and be prepared to adapt and improvise as needed to overcome obstacles and ensure the successful completion of your research objectives.

Data Recording and Management

Accurate and systematic data recording is crucial for maintaining the integrity and reliability of your research findings. Establish clear protocols and procedures for recording, organizing, and managing your data throughout the fieldwork process.

• Data Recording:  Document observations, interviews, survey responses, or other forms of data systematically and consistently. Use standardized formats, codes, or identifiers to ensure uniformity and ease of analysis. Consider using digital tools or software for data collection and recording to streamline the process and minimize errors.
• Data Storage and Backup:  Store your data securely and responsibly to prevent loss, theft, or unauthorized access. Back up your data regularly using reliable storage devices or cloud-based platforms to safeguard against data loss or corruption. Implement encryption, password protection, or other security measures to protect sensitive or confidential information.
• Data Validation and Quality Control:  Conduct periodic checks and validations to ensure the accuracy, completeness, and validity of your data. Double-check entries, reconcile discrepancies, and address any outliers or inconsistencies identified during the data collection process. Maintain detailed documentation of any revisions or corrections made to the dataset.

By implementing robust data recording and management practices, you can enhance the reliability, transparency, and reproducibility of your research outcomes and facilitate the analysis and interpretation of your findings.

Field Research Examples

Field research plays a pivotal role in helping businesses understand their customers, market dynamics, and competitive landscape. Here are some examples of how field research can be applied in real-world scenarios.

Customer Observation and Ethnography

Imagine a retail company seeking to improve its store layout and enhance customers' shopping experience. By conducting field research through customer observation and ethnographic studies , researchers can immerse themselves in the retail environment, observing how customers navigate the store, interact with products , and make purchasing decisions.

Through careful observation and note-taking, you can uncover valuable insights into customer preferences, behaviors, and pain points, informing strategic decisions around product placement, signage, and store design.

In-Depth Interviews and Focus Groups

A tech startup developing a new mobile app wants to gather feedback from potential users to refine its features and user interface. Through in-depth interviews and focus groups conducted in the field, researchers can engage directly with target users, exploring their needs, preferences , and usage patterns.

Asking probing questions and facilitating group discussions can elicit rich qualitative insights into user experiences, pain points, and desired functionalities. This firsthand feedback can guide the iterative development process, ensuring that the app meets the needs and expectations of its intended audience.

Market Research and Competitive Analysis

A multinational corporation launching a new product in a foreign market conducts field research to assess market demand and understand local competitors. Researchers may conduct surveys, interviews, and market observations to gather data on consumer preferences, buying behavior, and competitor offerings.

By analyzing this data, the company can identify market opportunities, refine its marketing strategy, and tailor its product offerings to meet the specific needs and preferences of the target market . Field research also provides valuable insights into competitive positioning, allowing the company to differentiate itself and capitalize on its unique strengths.

User Testing and Usability Studies

A software development company wants to ensure that its website is user-friendly and intuitive for visitors. Through field research methods such as user testing and usability studies , researchers can observe real users interacting with the website in a naturalistic setting.

By monitoring users' actions, navigation patterns, and feedback, you can identify usability issues, areas of confusion, and opportunities for improvement. This iterative process of testing and refinement helps optimize the website's design and functionality, ultimately enhancing the user experience and driving customer satisfaction and loyalty.

Employee Feedback and Organizational Culture

A large corporation embarks on a field research initiative to better understand employee satisfaction, engagement, and organizational culture. Through surveys, focus groups, and participatory observation, researchers gather feedback from employees across different departments and hierarchical levels.

By exploring topics such as work-life balance, communication channels, and leadership effectiveness, you can identify areas of strength and areas for improvement within the organization. This insights-driven approach enables the company to implement targeted interventions, policies, and initiatives to foster a positive and inclusive work environment, ultimately enhancing employee morale, productivity, and retention.

In each of these examples, field research serves as a valuable tool for generating actionable insights, informing strategic decision-making, and driving business success. By embracing a hands-on, experiential approach to research, businesses can gain a competitive edge in today's dynamic and rapidly evolving marketplace.

How to Analyze Field Research Data?

Once you've collected data in the field, the next critical step is to analyze it to derive meaningful insights and draw conclusions.

1. Clean and Organize Data

Before delving into the analysis, it's essential to clean and organize your data to ensure its quality and integrity. Data cleaning involves identifying and rectifying errors, inconsistencies, or missing values in your dataset. Data cleaning tasks include:

• Removing Outliers:  Identify and remove any extreme or erroneous data points that may skew your analysis or distort your findings.
• Handling Missing Data:  Address missing values by imputing them using appropriate techniques such as mean imputation, regression imputation, or multiple imputation.
• Standardizing Variables:  Ensure consistency in measurement units, scales, or formats across variables to facilitate comparison and analysis.
• Checking for Data Entry Errors:  Review data entries for typos, duplicates, or other inaccuracies that may arise during data collection or recording.

Once the data cleaning process is complete, organize your dataset in a structured and systematic manner to facilitate analysis. Create variables, labels, or categories as needed, and document any transformations or manipulations applied to the data for transparency and reproducibility.

2. Apply Analytical Techniques

With a clean and organized dataset in hand, you can now apply analytical techniques to uncover patterns, relationships, or trends within the data. The choice of analytical techniques will depend on your research questions, objectives, and the nature of your data.

Analytical methods used in field research include:

• Descriptive Statistics :  Calculate measures of central tendency, variability, and distribution to summarize and describe your data.
• Inferential Statistics :  Use statistical tests such as t-tests, chi-square tests, regression analysis , or analysis of variance (ANOVA) to test hypotheses, compare groups, or examine relationships between variables.
• Qualitative Analysis:  Employ qualitative data analysis techniques such as thematic analysis , content analysis, or grounded theory to explore themes, patterns, or meanings embedded within textual or narrative data.
• Mixed Methods Analysis:  Integrate quantitative and qualitative data to gain a more comprehensive understanding of the research phenomenon through triangulation or data transformation techniques.

Select analytical techniques appropriate for your research design, data type, and research questions. Ensure your analyses are conducted rigorously and transparently, adhering to established standards and guidelines in your field.

3. Interpret Findings

Once the analysis is complete, it's time to interpret the findings and draw meaningful conclusions from your data. Interpretation involves making sense of the results in the context of your research objectives, theoretical framework, and empirical evidence.

• Contextualizing Results:  Situate your findings within the broader context of existing literature, theoretical perspectives, or real-world phenomena to provide meaningful insights and interpretations.
• Identifying Patterns and Trends:  Highlight recurring patterns, trends, or relationships observed in the data and discuss their implications for theory, practice, or policy.
• Exploring Alternative Explanations:  Consider alternative explanations or interpretations of the findings and discuss their potential implications for the validity and reliability of your conclusions.
• Addressing Unexpected Findings:  Acknowledge and address any unexpected or counterintuitive findings that may challenge existing assumptions or theories and offer plausible explanations or avenues for further exploration.

Communicate your interpretations clearly and concisely, using evidence from your data to support your claims and conclusions. Be transparent about the limitations and uncertainties inherent in your findings, and discuss their implications for future research or practice.

4. Address Limitations and Bias

No research study is without limitations or biases, and it's essential to acknowledge and address these shortcomings transparently. To address limitations and bias in your field research:

• Methodological Limitations:  Discuss any limitations or constraints inherent in your research design, sampling methods, or data collection techniques that may have influenced the validity or generalizability of your findings.
• Selection Bias :  Be mindful of selection bias, where certain groups or individuals are overrepresented or underrepresented in your sample, and consider its potential impact on the reliability and validity of your results.
• Social Desirability Bias:  Recognize the influence of social desirability bias, where participants may provide responses that are perceived as socially acceptable rather than truthful, and consider strategies to mitigate its effects.
• Researcher Bias:  Reflect on your own biases, assumptions, or preconceptions that may have influenced the research process or interpretation of findings, and strive for objectivity and reflexivity in your analysis and reporting.

By acknowledging and addressing limitations and biases transparently, you demonstrate intellectual honesty and integrity, and contribute to the credibility and robustness of your research outcomes.

How to Report Field Research Results?

Communicating your research findings effectively is essential for sharing your insights with the academic community, policymakers, practitioners, and other stakeholders. Here are some strategies for reporting and presenting your results:

• Structuring the Research Report:  Organize your research report in a clear and logical manner, following the conventions of academic writing. Include sections such as introduction, literature review, methodology, results, discussion, and conclusions. Each section should flow cohesively, guiding the reader through the research process from inception to conclusion.
• Writing Techniques and Guidelines:  Use clear, concise, and jargon-free language to convey your findings to a diverse audience. Structure your sentences and paragraphs logically, and use headings, subheadings, and bullet points to enhance readability. Pay attention to grammar, spelling, and punctuation, and adhere to the formatting style prescribed by your discipline or publication venue.
• Creating Visual Representations: Enhance your research report or presentation with visual representations such as tables, charts, graphs, heatmaps , or diagrams. Choose visual formats that effectively illustrate key findings or trends in your data. Ensure that your visuals are clear, accurate, and appropriately labeled, and provide a brief caption or explanation to contextualize the information presented.
• Preparing Presentations:  Design engaging and informative presentations highlighting your research's main findings and implications. Use slides, visuals, and storytelling techniques to capture your audience's attention and convey your message effectively. Structure your presentation logically, with a clear introduction, main body, and conclusion, and allow time for questions and discussion.
• Sharing Findings with Stakeholders:  Share your research findings with relevant stakeholders, including academic peers, policymakers, practitioners, or community members. Tailor your communication approach to the needs and preferences of your audience, and choose appropriate dissemination channels such as conferences, seminars, publications, or social media platforms. Invite feedback or collaboration whenever possible, and be open to engaging in dialogue and knowledge exchange with your audience.

Effective reporting and presentation of research results not only showcase the significance and impact of your work but also contribute to knowledge dissemination, collaboration, and informed decision-making in your field. Strive for clarity, coherence, and engagement in your communication efforts, and consider your audience's diverse needs and interests when crafting your messages.

Conclusion for Field Research

Field research is a powerful tool for gaining a deeper understanding of the world around us. By venturing into real-life settings, you can uncover valuable insights into human behavior, societal dynamics, and natural phenomena. Whether studying the behavior of animals in their natural habitats or exploring the intricacies of human interactions, field research offers a unique perspective that complements other research methods. By embracing the complexities and nuances of the field, researchers can generate knowledge that is grounded in real-world experiences and has practical implications for addressing pressing societal challenges. Furthermore, field research isn't just about collecting data—it's about making a difference. The i nsights gained from field studies can inform policy decisions, shape interventions, and drive positive change in communities and organizations . By sharing their findings with stakeholders, you can contribute to evidence-based decision-making and foster collaboration between academia, government, and civil society.

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Field research.

Field research is a qualitative method of research concerned with understanding and interpreting the social interactions of groups of people, communities, and society by observing and interacting with people in their natural settings. The methods of field research include: direct observation, participant observation, and qualitative interviews. Each of these methods is described here. Terms related to these and other topics in field research are defined in the  Research Glossary .

Direct Observation

Participant observation, qualitative interviews.

Direct observation  is a method of research where the researcher watches and records the activities of individuals or groups engaged in their daily activities. The observations may be unstructured or structured. Unstructured observations involve the researcher observing people and events and recording his/her observations as field notes. Observations are recorded holistically and without the aid of a predetermined guide or protocol. Structured observation, on the other hand, is a technique where a researcher observes people and events using a guide or set protocol that has been developed ahead of time.

Other features of direct observation include:

• The observer does not actively engage the subjects of the study in conversations or interviews, but instead strives to be unobtrusive and detached from the setting.
• Data collected through direct observation may include field notes, checklists and rating scales, documents, and photographs or video images.
• Direct observation is not necessarily an alternative to other types of field methods, such as participant observation or qualitative interviews. Rather, it may be an initial approach to understanding a setting, a group of individuals, or forms of behavior prior to interacting with members or developing interview protocols.
• Direct observation as a research method is most appropriate in open, public settings where anyone has a right to be or congregate. Conducting direct observation in private or closed settings -- without the knowledge or consent of members -- is more likely to raise ethical concerns.

Participant observation  is a field research method whereby the researcher develops an understanding of a group or setting by taking part in the everyday routines and rituals alongside its members. It was originally developed in the early 20th century by anthropologists researching native societies in developing countries. It is now the principal research method used by ethnographers -- specialists within the fields of anthropology and sociology who focus on recording the details of social life occurring in a setting, community, group, or society. The ethnographer, who often lives among the members for months or years, attempts to build trusting relationships so that he or she becomes part of the social setting. As the ethnographer gains the confidence and trust of the members, many will speak and behave in a natural manner in the presence of the ethnographer.

Data from participant observation studies can take several forms:

• Field notes are the primary type of data. The researcher takes notes of his/her observations and experiences and later develops them into detailed, formal field notes.
• Frequently, researchers keep a diary, which is often a more intimate, informal record of the happenings within the setting.
• The practice of participant observation, with its emphasis on developing relationships with members, often leads to both informal, conversational interviews and more formal, in-depth interviews. The data from these interviews can become part of field notes or may consist of separate interview transcripts.

There are a number of advantages and disadvantages to direct and participant observation studies. Here is a list of some of both. While the advantages and disadvantages apply to both types of studies, their impact and importance may not be the same across the two. For example, researchers engaged in both types of observation will develop a rich, deep understanding of the members of the group and the setting in which social interactions occur, but researchers engaged in participant observation research may gain an even deep understanding. And, participant observers have a greater chance of witnessing a wider range of behaviors and events than those engaged in direct observation.

Advantages of observation studies (observational research):

• Provide contextual data on settings, interactions, or individuals.
• A useful tool for generating hypotheses for further study.
• Source of data on events and phenomena that do not involve verbal interactions (e.g., mother-child nonverbal interactions and contact, physical settings where interactions occur).
• The researcher develops a rich, deep understanding of a setting and of the members within the setting.

Disadvantages of observation studies:

• Behaviors observed during direct observation may be unusual or atypical.
• Significant interactions and events may take place when observer is not present.
• Certain topics do not necessarily lend themselves to observation (e.g., attitudes, emotions, affection).
• Reliability of observations can be problematic, especially when multiple observers are involved.
• The researcher must devote a large amount of time (and resources).
• The researcher's objectivity may decline as he or she spends more time among the members of the group.
• The researcher may be faced with a dilemma of choosing between revealing and not revealing his or her identity as a researcher to the members of the group. If he or she introduces him/herself as a researcher, the members may behave differently than if they assume that he or she is just another participant. On the other hand, if the researcher does not, they may feel betrayed upon learning about the research.

Qualitative interviews  are a type of field research method that elicits information and data by directly asking questions of individuals. There are three primary types of qualitative interviews: informal (conversational), semi-structured, and standardized, open-ended. Each is described briefly below along with advantages and disadvantages.

Informal (Conversational) Interviews

• Frequently occur during participant observation or following direct observation.
• The researcher begins by conversing with a member of the group of interest. As the conversation unfolds, the researcher formulates specific questions, often spontaneously, and begins asking them informally.
• Appropriate when the researcher wants maximum flexibility to pursue topics and ideas as they emerge during the exchange

Advantages of informal interviewing:

• Allows the researcher to be responsive to individual differences and to capture emerging information.
• Information that is obtained is not constrained by a predetermined set of questions and/or response categories.
• Permits researcher to delve deeper into a topic and what key terms and constructs mean to study participants.

Disadvantages of informal interviewing:

• May generate less systematic data, which is difficult to classify and analyze.
• The researcher might not be able to capture everything that the interviewee is saying and therefore there is potential for important nuance or information to be lost. For example, the researcher might not have a tape recorder at that moment due to the spontaneous nature of these interviews.
• Quality of the information obtained depends on skills of the interviewer.

Semi-Structured Interviews

• Prior to the interview, a list of predetermined questions or probes, also known as an interview guide, is developed so that each interviewee will respond to a similar series of questions and topics.
• Questions are generally open-ended to elicit as much detail and meaning from the interviewee as possible.
• The researcher is free to pursue and probe other topics as they emerge during the interview.

Advantages of semi-structured interviewing:

• Systematically captures data across interviewees.
• The researcher is able to rephrase or explain questions to the interviewee to ensure that everyone understands the questions the same way and probe (follow-up) a response so that an individual's responses are fully explored.
• Interviewee is allowed the freedom to express his or her views in their own words.

Disadvantages of semi-structured interviewing:

• Does not offer as much flexibility to respond to new topics that unfold during the interview as the informal interview.
• Responses to questions that have been asked in slightly different ways can be more difficult to compare and analyze.
• Interviewer may unconsciously send signals about the types of answers that are expected.

Standardized, Open-Ended Interviews

• Similar to a survey since questions are carefully scripted and written prior to the interview, which serves to minimize variability in question wording and the way questions are asked.
• The researcher asks a uniform series of questions in the same order to each interviewee.
• The questions are open-ended to capture more details and individual differences across interviewees.
• Particularly appropriate for qualitative studies involving multiple interviewers.

Advantages of standardized interviewing:

• All questions are asked the same to each study participant. Data are comparable across interviewees.
• Reduces interviewer effects when several interviewers are used.
• Standardization helps to facilitate the processing and analysis of the data.

Disadvantages of standardized interviewing:

• Does not offer as much flexibility to respond to and probe new topics that unfold during the interview.
• Standardized wording of questions may limit the responses of those being interviewed.

Both standardized and semi-structured interviews involve formally recruiting participants and are typically tape-recorded. The researcher should begin with obtaining informed consent from the interviewee prior to starting the interview. Additionally, the researcher may write a separate field note to describe the interviewee's reactions to the interview, or events that occurred before or after the interview.

See the following for additional information about field research and qualitative research methods.

• Ethnography, Observational Research and Narrative Inquiry  (PDF)
• An Introduction to Qualitative Research  (PDF)

The content on this page was prepared by Jerry West. It was last updated March 2019.

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Field research is a qualitative method of data collection aimed at understanding, observing, and interacting with people in their natural settings. In the context of research, observation is more than just looking. It involves looking in a planned and strategic way with a purpose (Palys & Atchison, 2014, p. 189). As such, when social scientists talk about being in “the field,” they are talking about being out in the real world and involved in the everyday lives of the people they are studying. Sometimes researchers use the terms ethnography or participant observation to refer to this method of data collection; the former is most commonly used in anthropology, while the latter is used commonly in sociology. For our purposes, we will use two main terms: field research and participant observation . You might think of field research as an umbrella term that includes the myriad activities that field researchers engage in when they collect data: they participate; they observe; they usually interview some of the people they observe; and they typically analyze documents or artifacts created by the people they observe.

Researchers conducting participant observation vary in the extent to which they participate or observe. Palys and Atchison (2014, p. 198) refer to this as the “participant-observer continuum,” ranging from complete participant to complete observer. This continuum is demonstrated in Figure 12.1. However, these researchers, as to do other researchers, question whether a researcher can be at the “complete observer” end of the continuum. Rather, they contend, it is increasingly acknowledged that, even as an observer, the researcher is participating in what is being studied and therefore cannot really be a complete observer.

Figure 12.1 (Palys & Atchison, 2014)

Indeed, it is important to acknowledge that there are pros and cons associated with both aspects of the participant/observer’s role. For example, depending upon how fully researchers observer their subjects (as opposed to participating), they may miss important aspects of group interaction and may not have the opportunity to fully grasp what life is like for the people they observe. At the same time, sitting back and observing may grant researchers opportunities to see interactions that they would miss, were they more involved.

Ethnography is not to be confused with ethnomethodology. Ethnomethodology will be defined and described in Chapter13

Participation has the benefit of allowing researchers a real taste of life in the group that they study. Some argue that participation is the only way to understand what it is that is being investigated. On the other hand, fully immersed participants may find themselves in situations that they would rather not face but from which cannot excuse themselves because they have adopted the role of a fully immersed participant. Further, participants who do not reveal themselves as researchers must face the ethical quandary of possibly deceiving their subjects. In reality, much field research lies somewhere near the middle of the observer/participant continuum. Field researchers typically participate to at least some extent in their field sites, but there are also times when they may strictly observe.

Research Methods, Data Collection and Ethics Copyright © 2020 by Valerie Sheppard is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Qualitative study design: Field research

• Qualitative study design
• Phenomenology
• Grounded theory
• Ethnography
• Narrative inquiry
• Action research
• Case Studies

Field research

• Focus groups
• Observation
• Surveys & questionnaires
• Study Designs Home

To understand attitudes, practices, roles, organisations, groups, or behaviours in their natural setting

In a way you have probably done field research before – when you’ve been in a doctor’s waiting room, or on an aeroplane. Field research is at its core about observing and participating in social behaviour and trying to understand it. Qualitative field research takes these natural skills and curiosities and refines them to address and answer a research question The “field” is vast, consisting of numerous people, activities, events, and words. When undertaking field research, the researcher needs to determine the exact activities or practices that are of interest to the researcher to answer their research question. Instead of the more artificial environment of an interview or survey, field research lets researchers observe subtle communications, cues, or other events that they may not have anticipated or even measured otherwise.

Field research is often referred to interchangeably as “participant observation”. Participant observation is a type of field research where the researcher is an active participant in the everyday life, habits, or beliefs of the field alongside members. An example of this might be where a researcher goes into a hospital and works alongside hospital staff. A contrast to this is “direct observation”, a type of field research where the researcher observes members in the field but doesn’t actively participate. An example might be a researcher who sits at a hospital cafeteria and observes staff who may not realize they’re being studied.

You may be wondering what the difference is between ethnography and field research. The two terms are often used interchangeably, so it can be a really blurred line! Ethnography is about making sense of culture – it’s about making a detailed overview of the social group and organising your information. Field research is going out into the field – so describing “how” you’re going to conduct research. Ethnographical research can be field research (as in, you’re studying the culture of a hospital by observing within the hospital), or field research can be ethnographic (you’re observing staff in a hospital to see how staff handle crisis intervention). It’s a fine line between the two, and even experienced researchers can be unsure of the difference (or even use the terms interchangeably, depending on discipline), so when in doubt, it is best to talk to your supervisor or an experienced researcher in this discipline

Different studies may benefit from different degrees of researcher involvement. Ultimately, the researcher needs to be sensitive to the impact their presence might have on the data and on participants – and also aware of any ethical requirements around this study type, such as informed consent, duties to report (such as if the researcher observes criminal activities), and confidentiality and privacy of participants.

Observation, unstructured interviews

• Allows for observation in a natural setting
• Picks up on subtle cues
• Allows in depth exploration which contributes to a full appreciation of what’s being studied, including “whys” around human behaviour

Limitations

• Requires a high degree of sensitivity by the researcher to the impact of the research and their presence on participants and on the data
• Risk of reactivity, where research subjects may alter their behaviour from what it would have been normally as a result of being studied
• Ethical considerations involved in insider research
• Possible loss of objectivity

Example questions

How do student nurses integrate their training into care provision at end-of-life?

Example studies

• Barber-Parker, E. (2002). Integrating patient teaching into bedside patient care: a participant-observation study of hospital nurses.  Patient Education and Counselling, 48 ( 2): 107-113  
• Shikuku, D., Milimo, B., Ayebare, E., Gisore, P., & Gorrette, N. (2018). Practice and outcomes of neonatal resuscitation for newborns with birth asphyxia at Kakamega County General Hospital, Kenya: a direct observation study, BMC Pediatrics, 18 (1), doi: 10.1186/s12887-018-1127-6  

Babbie, E. (2008). The basics of social research (4th ed). Belmont: Thomson Wadsworth

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Field Research explained

Field research: this article explains the concept of field research in a practical way. The article starts with the definition of this term, followed by a general explanation and some practical examples of field research. You will also find an explanation of the various methods and a step-by-step plan for conducting field research. Enjoy reading!

What is field research?

Field research, also known as fieldwork, is a method of collecting raw data outside of the lab, library, or usual workplace.

It involves observing and interacting with people, animals or phenomena in their natural environment to gain a deeper understanding of their behavior, social interactions and the dynamics of their environment. Read more about experimental research .

Field research methods vary by field. For example, biologists observe animals in their natural habitats, and social scientists conduct interviews and observations to study human societies.

The definition of Field research

Field research is a qualitative research method that focuses on observing and understanding individuals, groups, communities or society as a whole.

It aims to capture authentic and contextual data by immersing researchers in the environments they study.

Through direct observation and interaction with subjects, field researchers gain firsthand insight into their behaviour, beliefs, cultural practices and social structures.

It encompasses a wide variety of well-defined methods, including:

• Formal interviews
• Informal interviews

Direct observation

Participating observation.

• Collective discussions
• Analysis of personal documents
• Self-analysis
• Offline and online activities

Although this type of research is mainly qualitative, it can also contain quantitative aspects, depending on the research goals and methodologies applied.

History and the origin of Field research

Field research has a long history, especially within cultural anthropology . Anthropologists have made extensive use of field research to study different cultures, often focusing on so-called primitive cultures or cultural differences based on factors such as class.

The term “field” refers to defined areas of research, such as education, industrial environments or Amazon rainforests, where social research is conducted.

Influential figures in the early development of this type of research include Alfred Radcliffe-Brown and Bronisław Malinowski, who laid the foundations for future work in anthropology.

Field research versus laboratory research

Field research and laboratory research differ in their approach to data collection.

Field research takes place in natural environments, where researchers make direct observations and interact. It provides contextual data and insight into complex processes, but may be limited in establishing causal relationships.

On the other hand, laboratory research takes place in controlled environments, where variables are manipulated and repeatability is ensured.

It is well suited for testing hypotheses and obtaining accurate measurements, but may lack the complexity of natural environments.

Both approaches complement each other and the choice depends on the research questions and available resources .

Research Methods For Business Students Course A-Z guide to writing a rockstar Research Paper with a bulletproof Research Methodology!   More information

Methods for field research

Field research involves the use of various methods to collect valuable data and gain insight into the phenomena under investigation.

Here are some common methods applied in field research:

This method involves carefully observing people, animals, or events in their natural environment. By watching closely, researchers can study behaviors, interactions, and responses to specific situations without actively participating.

In this method, the researcher actively participates in the group, community, or environment under study. By participating in activities, having conversations and being involved in daily routines, researchers can develop a deep understanding of the social structures, norms and values, and the meaning attached to certain actions.

Qualitative interviews

This includes conducting interviews with individuals or groups to find out their perspectives, experiences and opinions. By asking open-ended questions and delving deeper into topics, researchers can gain insight into participants’ thoughts and feelings.

Data analysis of documents

In this method, documents, such as letters, diaries, reports, or other written materials, are analyzed to obtain information and insights. These documents can provide valuable context and provide a historical perspective on the issues examined.

Informal conversations

Sometimes having informal conversations with people in the research environment can yield useful information. These can be casual chats during breaks or informal gatherings where people talk freely about their experiences and perspectives.

The use of these different methods allows researchers to collect a wide range of data and develop an in-depth understanding of the social, cultural and behavioral aspects of the phenomena under study.

Case studies

Case studies are a useful approach in field research to gain in-depth insights into specific situations, groups or phenomena.

Step-by-step plan for conducting field research

Follow the steps below to get started conducting field research yourself.

Step 1: define your research goal

Determine the specific goal of your research. What do you want to discover, understand or observe? Clearly formulate your research question(s) and objective(s).

Step 2: design your research plan

Consider which methods and approaches are best suited to your research question. Consider the location, participants/population, data collection methods and time frame.

Step 3: Get permission

If necessary, obtain permission from relevant agencies, organizations or individuals to access the study site and collect data. Make sure you follow ethical guidelines and procedures.

Step 4: collect data

Go to the research site and start collecting data according to your research plan. This may include direct observation, interviews, surveys, participant observation or collection of documentation.

Step 5: Analyze and interpret your data

Evaluate and analyze the collected data . Identify patterns, themes or trends relevant to your research question. Interpretation of the data should be based on accurate and systematic analysis.

Step 6: draw conclusions and formulate results

Based on your analysis and interpretation, you come to conclusions that answer your research question . Formulate clear results and present them in a structured way .

Step 7: Report and share your findings

Write a research report describing the methodology, findings and conclusions. Share your results with the scientific community, stakeholders or the wider public through publications, presentations or other appropriate channels.

Step 8: Reflect and Evaluate your field research

Take the time to evaluate your research experience . What were the strengths and challenges of your research? What would you do differently in the future? Reflect on possible improvements and learning points for subsequent studies.

Examples of known field studies

Numerous interesting discoveries have been made while conducting research. Here are three examples of discoveries made while conducting this type of research:

New animal species

Field research has led to the discovery of several new animal species. For example, in 2018, during a field research expedition in the rainforests of Ecuador, researchers discovered a new species of tree frog.

This discovery highlighted the importance of field research in identifying biodiversity and understanding the ecological systems in which these species live.

Ecological changes

Field research has also helped identify ecological changes and understand their causes.

For example, by studying coral reefs in different parts of the world, scientists have found that coral bleaching, a consequence of climate change, is having a devastating effect on coral reef health.

It’s Your Turn

What do you think? Do you recognize the explanation about field research? Have you ever heard of this type of research before? Have you ever conducted this yourself? What do you think are the advantages compared to, for example, research in a laboratory? Do you have tips or other comments?

Share your experience and knowledge in the comments box below.

More information

• Barick, R. (2021). Research Methods For Business Students . Retrieved 02/16/2024 from Udemy.
• Burgess, R. G. (Ed.). (2003). Field Research: A sourcebook and field manual (Vol. 4) . Routledge.
• Burgess, R. G. (2002). In the field: An introduction to Field Research (Vol. 8) . Routledge.
• Edmondson, A. C., & McManus, S. E. (2007). Methodological fit in management Field Research . Academy of management review, 32(4), 1246-1264.
• McKinnon, J. (1988). Reliability and validity in Field Research: some strategies and tactics . Accounting, Auditing & Accountability Journal, 1(1), 34-54

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Article Contents

Introduction, what is fieldwork, purpose of fieldwork, physical safety, mental wellbeing and affect, ethical considerations, remote fieldwork, concluding thoughts, acknowledgments, funder information.

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Field Research: A Graduate Student's Guide

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Ezgi Irgil, Anne-Kathrin Kreft, Myunghee Lee, Charmaine N Willis, Kelebogile Zvobgo, Field Research: A Graduate Student's Guide, International Studies Review , Volume 23, Issue 4, December 2021, Pages 1495–1517, https://doi.org/10.1093/isr/viab023

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What is field research? Is it just for qualitative scholars? Must it be done in a foreign country? How much time in the field is “enough”? A lack of disciplinary consensus on what constitutes “field research” or “fieldwork” has left graduate students in political science underinformed and thus underequipped to leverage site-intensive research to address issues of interest and urgency across the subfields. Uneven training in Ph.D. programs has also left early-career researchers underprepared for the logistics of fieldwork, from developing networks and effective sampling strategies to building respondents’ trust, and related issues of funding, physical safety, mental health, research ethics, and crisis response. Based on the experience of five junior scholars, this paper offers answers to questions that graduate students puzzle over, often without the benefit of others’ “lessons learned.” This practical guide engages theory and praxis, in support of an epistemologically and methodologically pluralistic discipline.

¿Qué es la investigación de campo? ¿Es solo para académicos cualitativos? ¿Debe realizarse en un país extranjero? ¿Cuánto tiempo en el terreno es “suficiente”? La falta de consenso disciplinario con respecto a qué constituye la “investigación de campo” o el “trabajo de campo” ha causado que los estudiantes de posgrado en ciencias políticas estén poco informados y, por lo tanto, capacitados de manera insuficiente para aprovechar la investigación exhaustiva en el sitio con el objetivo de abordar los asuntos urgentes y de interés en los subcampos. La capacitación desigual en los programas de doctorado también ha provocado que los investigadores en las primeras etapas de su carrera estén poco preparados para la logística del trabajo de campo, desde desarrollar redes y estrategias de muestreo efectivas hasta generar la confianza de las personas que facilitan la información, y las cuestiones relacionadas con la financiación, la seguridad física, la salud mental, la ética de la investigación y la respuesta a las situaciones de crisis. Con base en la experiencia de cinco académicos novatos, este artículo ofrece respuestas a las preguntas que desconciertan a los estudiantes de posgrado, a menudo, sin el beneficio de las “lecciones aprendidas” de otras personas. Esta guía práctica incluye teoría y praxis, en apoyo de una disciplina pluralista desde el punto de vista epistemológico y metodológico.

En quoi consiste la recherche de terain ? Est-elle uniquement réservée aux chercheurs qualitatifs ? Doit-elle être effectuée dans un pays étranger ? Combien de temps faut-il passer sur le terrain pour que ce soit « suffisant » ? Le manque de consensus disciplinaire sur ce qui constitue une « recherche de terrain » ou un « travail de terrain » a laissé les étudiants diplômés en sciences politiques sous-informés et donc sous-équipés pour tirer parti des recherches de terrain intensives afin d'aborder les questions d'intérêt et d'urgence dans les sous-domaines. L'inégalité de formation des programmes de doctorat a mené à une préparation insuffisante des chercheurs en début de carrière à la logistique du travail de terrain, qu'il s'agisse du développement de réseaux et de stratégies d’échantillonnage efficaces, de l'acquisition de la confiance des personnes interrogées ou des questions de financement, de sécurité physique, de santé mentale, d’éthique de recherche et de réponse aux crises qui y sont associées. Cet article s'appuie sur l'expérience de cinq jeunes chercheurs pour proposer des réponses aux questions que les étudiants diplômés se posent, souvent sans bénéficier des « enseignements tirés » par les autres. Ce guide pratique engage théorie et pratique en soutien à une discipline épistémologiquement et méthodologiquement pluraliste.

Days before embarking on her first field research trip, a Ph.D. student worries about whether she will be able to collect the qualitative data that she needs for her dissertation. Despite sending dozens of emails, she has received only a handful of responses to her interview requests. She wonders if she will be able to gain more traction in-country. Meanwhile, in the midst of drafting her thesis proposal, an M.A. student speculates about the feasibility of his project, given a modest budget. Thousands of miles away from home, a postdoc is concerned about their safety, as protests erupt outside their window and state security forces descend into the streets.

These anecdotes provide a small glimpse into the concerns of early-career researchers undertaking significant projects with a field research component. Many of these fieldwork-related concerns arise from an unfortunate shortage in curricular offerings for qualitative and mixed-method research in political science graduate programs ( Emmons and Moravcsik 2020 ), 1 as well as the scarcity of instructional materials for qualitative and mixed-method research, relative to those available for quantitative research ( Elman, Kapiszewski, and Kirilova 2015 ; Kapiszewski, MacLean, and Read 2015 ; Mosley 2013 ). A recent survey among the leading United States Political Science programs in Comparative Politics and International Relations found that among graduate students who have carried out international fieldwork, 62 percent had not received any formal fieldwork training and only 20 percent felt very or mostly prepared for their fieldwork ( Schwartz and Cronin-Furman 2020 , 7–8). This shortfall in training and instruction means that many young researchers are underprepared for the logistics of fieldwork, from developing networks and effective sampling strategies to building respondents’ trust. In addition, there is a notable lack of preparation around issues of funding, physical safety, mental health, research ethics, and crisis response. This is troubling, as field research is highly valued and, in some parts of the field, it is all but expected, for instance in comparative politics.

Beyond subfield-specific expectations, research that leverages multiple types of data and methods, including fieldwork, is one of the ways that scholars throughout the discipline can more fully answer questions of interest and urgency. Indeed, multimethod work, a critical means by which scholars can parse and evaluate causal pathways, is on the rise ( Weller and Barnes 2016 ). The growing appearance of multimethod research in leading journals and university presses makes adequate training and preparation all the more significant ( Seawright 2016 ; Nexon 2019 ).

We are five political scientists interested in providing graduate students and other early-career researchers helpful resources for field research that we lacked when we first began our work. Each of us has recently completed or will soon complete a Ph.D. at a United States or Swedish university, though we come from many different national backgrounds. We have conducted field research in our home countries and abroad. From Colombia and Guatemala to the United States, from Europe to Turkey, and throughout East and Southeast Asia, we have spanned the globe to investigate civil society activism and transitional justice in post-violence societies, conflict-related sexual violence, social movements, authoritarianism and contentious politics, and the everyday politics and interactions between refugees and host-country citizens.

While some of us have studied in departments that offer strong training in field research methods, most of us have had to self-teach, learning through trial and error. Some of us have also been fortunate to participate in short courses and workshops hosted by universities such as the Consortium for Qualitative Research Methods and interdisciplinary institutions such as the Peace Research Institute Oslo. Recognizing that these opportunities are not available to or feasible for all, and hoping to ease the concerns of our more junior colleagues, we decided to compile our experiences and recommendations for first-time field researchers.

Our experiences in the field differ in several key respects, from the time we spent in the field to the locations we visited, and how we conducted our research. The diversity of our experiences, we hope, will help us reach and assist the broadest possible swath of graduate students interested in field research. Some of us have spent as little as ten days in a given country or as much as several months, in some instances visiting a given field site location just once and in other instances returning several times. At times, we have been able to plan weeks and months in advance. Other times, we have quickly arranged focus groups and impromptu interviews. Other times still, we have completed interviews virtually, when research participants were in remote locations or when we ourselves were unable to travel, of note during the coronavirus pandemic. We have worked in countries where we are fluent or have professional proficiency in the language, and in countries where we have relied on interpreters. We have worked in settings with precarious security as well as in locations that feel as comfortable as home. Our guide is not intended to be prescriptive or exhaustive. What we offer is a set of experience-based suggestions to be implemented as deemed relevant and appropriate by the researcher and their advisor(s).

In terms of the types of research and data sources and collection, we have conducted archival research, interviews, focus groups, and ethnographies with diplomats, bureaucrats, military personnel, ex-combatants, civil society advocates, survivors of political violence, refugees, and ordinary citizens. We have grappled with ethical dilemmas, chief among them how to get useful data for our research projects in ways that exceed the minimal standards of human subjects’ research evaluation panels. Relatedly, we have contemplated how to use our platforms to give back to the individuals and communities who have so generously lent us their time and knowledge, and shared with us their personal and sometimes harrowing stories.

Our target audience is first and foremost graduate students and early-career researchers who are interested in possibly conducting fieldwork but who either (1) do not know the full potential or value of fieldwork, (2) know the potential and value of fieldwork but think that it is excessively cost-prohibitive or otherwise infeasible, or (3) who have the interest, the will, and the means but not necessarily the know-how. We also hope that this resource will be of value to graduate programs, as they endeavor to better support students interested in or already conducting field research. Further, we target instructional faculty and graduate advisors (and other institutional gatekeepers like journal and book reviewers), to show that fieldwork does not have to be year-long, to give just one example. Instead, the length of time spent in the field is a function of the aims and scope of a given project. We also seek to formalize and normalize the idea of remote field research, whether conducted because of security concerns in conflict zones, for instance, or because of health and safety concerns, like the Covid-19 pandemic. Accordingly, researchers in the field for shorter stints or who conduct fieldwork remotely should not be penalized.

We note that several excellent resources on fieldwork such as the bibliography compiled by Advancing Conflict Research (2020) catalogue an impressive list of articles addressing questions such as ethics, safety, mental health, reflexivity, and methods. Further resources can be found about the positionality of the researcher in the field while engaging vulnerable communities, such as in the research field of migration ( Jacobsen and Landau 2003 ; Carling, Bivand Erdal, and Ezzati 2014 ; Nowicka and Cieslik 2014 ; Zapata-Barrero and Yalaz 2019 ). However, little has been written beyond conflict-affected contexts, fragile settings, and vulnerable communities. Moreover, as we consulted different texts and resources, we found no comprehensive guide to fieldwork explicitly written with graduate students in mind. It is this gap that we aim to fill.

In this paper, we address five general categories of questions that graduate students puzzle over, often without the benefit of others’ “lessons learned.” First, What is field research? Is it just for qualitative scholars? Must it be conducted in a foreign country? How much time in the field is “enough”? Second, What is the purpose of fieldwork? When does it make sense to travel to a field site to collect data? How can fieldwork data be used? Third, What are the nuts and bolts? How does one get ready and how can one optimize limited time and financial resources? Fourth, How does one conduct fieldwork safely? What should a researcher do to keep themselves, research assistants, and research subjects safe? What measures should they take to protect their mental health? Fifth, How does one conduct ethical, beneficent field research?

Finally, the Covid-19 pandemic has impressed upon the discipline the volatility of research projects centered around in-person fieldwork. Lockdowns and closed borders left researchers sequestered at home and unable to travel, forced others to cut short any trips already begun, and unexpectedly confined others still to their fieldwork sites. Other factors that may necessitate a (spontaneous) readjustment of planned field research include natural disasters, a deteriorating security situation in the field site, researcher illness, and unexpected changes in personal circumstances. We, therefore, conclude with a section on the promise and potential pitfalls of remote (or virtual) fieldwork. Throughout this guide, we engage theory and praxis to support an epistemologically and methodologically pluralistic discipline.

The concept of “fieldwork” is not well defined in political science. While several symposia discuss the “nuts and bolts” of conducting research in the field within the pages of political science journals, few ever define it ( Ortbals and Rincker 2009 ; Hsueh, Jensenius, and Newsome 2014 ). Defining the concept of fieldwork is important because assumptions about what it is and what it is not underpin any suggestions for conducting it. A lack of disciplinary consensus about what constitutes “fieldwork,” we believe, explains the lack of a unified definition. Below, we discuss three areas of current disagreement about what “fieldwork” is, including the purpose of fieldwork, where it occurs, and how long it should be. We follow this by offering our definition of fieldwork.

First, we find that many in the discipline view fieldwork as squarely in the domain of qualitative research, whether interpretivist or positivist. However, field research can also serve quantitative projects—for example, by providing crucial context, supporting triangulation, or illustrating causal mechanisms. For instance, Kreft (2019) elaborated her theory of women's civil society mobilization in response to conflict-related sexual violence based on interviews she carried out in Colombia. She then examined cross-national patterns through statistical analysis. Conversely, Willis's research on the United States military in East Asia began with quantitative data collection and analysis of protest events before turning to fieldwork to understand why protests occurred in some instances but not others. Researchers can also find quantifiable data in the field that is otherwise unavailable to them at home ( Read 2006 ; Chambers-Ju 2014 ; Jensenius 2014 ). Accordingly, fieldwork is not in the domain of any particular epistemology or methodology as its purpose is to acquire data for further information.

Second, comparative politics and international relations scholars often opine that fieldwork requires leaving the country in which one's institution is based. Instead, we propose that what matters most is the nature of the research project, not the locale. For instance, some of us in the international relations subfield have interviewed representatives of intergovernmental organizations (IGOs) and international nongovernmental organizations (INGOs), whose headquarters are generally located in Global North countries. For someone pursuing a Ph.D. in the United States and writing on transnational advocacy networks, interviews with INGO representatives in New York certainly count as fieldwork ( Zvobgo 2020 ). Similarly, a graduate student who returns to her home country to interview refugees and native citizens is conducting a field study as much as a researcher for whom the context is wholly foreign. Such interviews can provide necessary insights and information that would not have been gained otherwise—one of the key reasons researchers conduct fieldwork in the first place. In other instances, conducting any in-person research is simply not possible, due to financial constraints, safety concerns, or other reasons. For example, the Covid-19 pandemic has forced many researchers to shift their face-to-face research plans to remote data collection, either over the phone or virtually ( Howlett 2021 , 2). For some research projects, gathering data through remote methods may yield the same if not similar information than in-person research ( Howlett 2021 , 3–4). As Howlett (2021 , 11) notes, digital platforms may offer researchers the ability to “embed ourselves in other contexts from a distance” and glimpse into our subjects’ lives in ways similar to in-person research. By adopting a broader definition of fieldwork, researchers can be more flexible in getting access to data sources and interacting with research subjects.

Third, there is a tendency, especially among comparativists, to only count fieldwork that spans the better part of a year; even “surgical strike” field research entails one to three months, according to some scholars ( Ortbals and Rincker 2009 ; Weiss, Hicken, and Kuhonta 2017 ). The emphasis on spending as much time as possible in the field is likely due to ethnographic research traditions, reflected in classics such as James Scott's Weapons of the Weak , which entail year-long stints of research. However, we suggest that the appropriate amount of time in the field should be assessed on a project-by-project basis. Some studies require the researcher to be in the field for long periods; others do not. For example, Willis's research on the discourse around the United States’ military presence in overseas host communities has required months in the field. By contrast, Kreft only needed ten days in New York to carry out interviews with diplomats and United Nations staff, in a context with which she already had some familiarity from a prior internship. Likewise, Zvobgo spent a couple of weeks in her field research sites, conducting interviews with directors and managers of prominent human rights nongovernmental organizations. This population is not so large as to require a whole month or even a few months. This has also been the case for Irgil, as she had spent one month in the field site conducting interviews with ordinary citizens. The goal of the project was to acquire information on citizens’ perceptions of refugees. As we discuss in the next section, when deciding how long to spend in the field, scholars must consider the information their project requires and consider the practicalities of fieldwork, notably cost.

Thus, we highlight three essential points in fieldwork and offer a definition accordingly: fieldwork involves acquiring information, using any set of appropriate data collection techniques, for qualitative, quantitative, or experimental analysis through embedded research whose location and duration is dependent on the project. We argue that adopting such a definition of “fieldwork” is necessary to include the multitude of forms fieldwork can take, including remote methods, whose value and challenges the Covid-19 pandemic has impressed upon the discipline.

When does a researcher need to conduct fieldwork? Fieldwork can be effective for (1) data collection, (2) theory building, and (3) theory testing. First, when a researcher is interested in a research topic, yet they could not find an available and/or reliable data source for the topic, fieldwork could provide the researcher with plenty of options. Some research agendas can require researchers to visit archives to review historical documents. For example, Greitens (2016) visited national archives in the Philippines, South Korea, Taiwan, and the United States to find historical documents about the development of coercive institutions in past authoritarian governments for her book, Dictators and Their Secret Police . Also, newly declassified archival documents can open new possibilities for researchers to examine restricted topics. To illustrate, thanks to the newly released archival records of the Chinese Communist Party's communications, and exchange of visits with the European communist world, Sarotte (2012) was able to study the Party's decision to crack down on Tiananmen protesters, which had previously been deemed as an unstudiable topic due to the limited data.

Other research agendas can require researchers to conduct (semistructured) in-depth interviews to understand human behavior or a situation more closely, for example, by revealing the meanings of concepts for people and showing how people perceive the world. For example, O'Brien and Li (2005) conducted in-depth interviews with activists, elites, and villagers to understand how these actors interact with each other and what are the outcomes of the interaction in contentious movements in rural China. Through research, they revealed that protests have deeply influenced all these actors’ minds, a fact not directly observable without in-depth interviews.

Finally, data collection through fieldwork should not be confined to qualitative data ( Jensenius 2014 ). While some quantitative datasets can be easily compiled or accessed through use of the internet or contact with data-collection agencies, other datasets can only be built or obtained through relationships with “gatekeepers” such as government officials, and thus require researchers to visit the field ( Jensenius 2014 ). Researchers can even collect their own quantitative datasets by launching surveys or quantifying data contained in archives. In a nutshell, fieldwork will allow researchers to use different techniques to collect and access original/primary data sources, whether these are qualitative, quantitative, or experimental in nature, and regardless of the intended method of analysis. 2

But fieldwork is not just for data collection as such. Researchers can accomplish two other fundamental elements of the research process: theory building and theory testing. When a researcher finds a case where existing theories about a phenomenon do not provide plausible explanations, they can build a theory through fieldwork ( Geddes 2003 ). Lee's experience provides a good example. When studying the rise of a protest movement in South Korea for her dissertation, Lee applied commonly discussed social movement theories, grievances, political opportunity, resource mobilization, and repression, to explain the movement's eruption and found that these theories do not offer a convincing explanation for the protest movement. She then moved on to fieldwork and conducted interviews with the movement participants to understand their motivations. Finally, through those interviews, she offered an alternative theory that the protest participants’ collective identity shaped during the authoritarian past played a unifying factor and eventually led them to participate in the movement. Her example shows that theorization can take place through careful review and rigorous inference during fieldwork.

Moreover, researchers can test their theory through fieldwork. Quantitative observational data has limitations in revealing causal mechanisms ( Esarey 2017 ). Therefore, many political scientists turn their attention to conducting field experiments or lab-in-the-field experiments to reveal causality ( Druckman et al. 2006 ; Beath, Christia, and Enikolopov 2013 ; Finseraas and Kotsadam 2017 ), or to leveraging in-depth insights or historical records gained through qualitative or archival research in process-tracing ( Collier 2011 ; Ricks and Liu 2018 ). Surveys and survey experiments may also be useful tools to substantiate a theoretical story or test a theory ( Marston 2020 ). Of course, for most Ph.D. students, especially those not affiliated with more extensive research projects, some of these options will be financially prohibitive.

A central concern for graduate students, especially those working with a small budget and limited time, is optimizing time in the field and integrating remote work. We offer three pieces of advice: have a plan, build in flexibility, and be strategic, focusing on collecting data that are unavailable at home. We also discuss working with local translators or research assistants. Before we turn to these more practical issues arising during fieldwork, we address a no less important issue: funding.

The challenge of securing funds is often overlooked in discussions of what constitutes field research. Months- or year-long in-person research can be cost-prohibitive, something academic gatekeepers must consider when evaluating “what counts” and “what is enough.” Unlike their predecessors, many graduate students today have a significant amount of debt and little savings. 3 Additionally, if researchers are not able to procure funding, they have to pay out of pocket and possibly take on more debt. Not only is in-person fieldwork costly, but researchers may also have to forego working while they are in the field, making long stretches in the field infeasible for some.

For researchers whose fieldwork involves travelling to another location, procuring funding via grants, fellowships, or other sources is a necessity, regardless of how long one plans to be in the field. A good mantra for applying for research funding is “apply early and often” ( Kelsky 2015 , 110). Funding applications take a considerable amount of time to prepare, from writing research statements to requesting letters of recommendation. Even adapting one's materials for different applications takes time. Not only is the application process itself time-consuming, but the time between applying for and receiving funds, if successful, can be quite long, from several months to a year. For example, after defending her prospectus in May 2019, Willis began applying to funding sources for her dissertation, all of which had deadlines between June and September. She received notifications between November and January; however, funds from her successful applications were not available until March and April, almost a year later. 4 Accordingly, we recommend applying for funding as early as possible; this not only increases one's chances of hitting the ground running in the field, but the application process can also help clarify the goals and parameters of one's research.

Graduate students should also apply often for funding opportunities. There are different types of funding for fieldwork: some are larger, more competitive grants such as the National Science Foundation Political Science Doctoral Dissertation Improvement Grant in the United States, others, including sources through one's own institution, are smaller. Some countries, like Sweden, boast a plethora of smaller funding agencies that disburse grants of 20,000–30,0000 Swedish Kronor (approx. 2,500–3,500 U.S. dollars) to Ph.D. students in the social sciences. Listings of potential funding sources are often found on various websites including those belonging to universities, professional organizations (such as the American Political Science Association or the European Consortium for Political Research), and governmental institutions dealing with foreign affairs. Once you have identified fellowships and grants for which you and your project are a good match, we highly recommend soliciting information and advice from colleagues who have successfully applied for them. This can include asking them to share their applications with you, and if possible, to have them, another colleague or set of colleagues read through your project description and research plan (especially for bigger awards) to ensure that you have made the best possible case for why you should be selected. While both large and small pots of funding are worth applying for, many researchers end up funding their fieldwork through several small grants or fellowships. One small award may not be sufficient to fund the entirety of one's fieldwork, but several may. For example, Willis's fieldwork in Japan and South Korea was supported through fellowships within each country. Similarly, Irgil was able to conduct her fieldwork abroad through two different and relatively smaller grants by applying to them each year.

Of course, situations vary in different countries with respect to what kinds of grants from what kinds of funders are available. An essential part of preparing for fieldwork is researching the funding landscape well in advance, even as early as the start of the Ph.D. We encourage first-time field researchers to be aware that universities and departments may themselves not be aware of the full range of possible funds available, so it is always a good idea to do your own research and watch research-related social media channels. The amount of funding needed thereby depends on the nature of one's project and how long one intends to be in the field. As we elaborate in the next section, scholars should think carefully about their project goals, the data required to meet those goals, and the requisite time to attain them. For some projects, even a couple of weeks in the field is sufficient to get the needed information.

Preparing to Enter “the field”

It is important to prepare for the field as much as possible. What kind of preparations do researchers need? For someone conducting interviews with NGO representatives, this might involve identifying the largest possible pool of potential respondents, securing their contact information, sending them study invitation letters, finding a mutually agreeable time to meet, and pulling together short biographies for each interviewee in order to use your time together most effectively. If you plan to travel to conduct interviews, you should reach out to potential respondents roughly four to six weeks prior to your arrival. For individuals who do not respond, you can follow up one to two weeks before you arrive and, if needed, once more when you are there. This is still no guarantee for success, of course. For Kreft, contacting potential interviewees in Colombia initially proved more challenging than anticipated, as many of the people she targeted did not respond to her emails. It turned out that many Colombians have a preference for communicating via phone or, in particular, WhatsApp. Some of those who responded to her emails sent in advance of her field trip asked her to simply be in touch once she was in the country, to set up appointments on short notice. This made planning and arranging her interview schedule more complicated. Therefore, a general piece of advice is to research your target population's preferred communication channels and mediums in the field site if email requests yield no or few responses.

In general, we note for the reader that contacting potential research participants should come after one has designed an interview questionnaire (plus an informed consent protocol) and sought and received, where applicable, approval from institutional review boards (IRBs) or other ethical review procedures in place (both at one's home institution/in the country of the home institution as well as in the country where one plans to conduct research if travelling abroad). The most obvious advantage of having the interview questionnaire in place and having secured all necessary institutional approvals before you start contacting potential interviewees is that you have a clearer idea of the universe of individuals you would like to interview, and for what purpose. Therefore, it is better to start sooner rather than later and be mindful of “high seasons,” when institutional and ethical review boards are receiving, processing, and making decisions on numerous proposals. It may take a few months for them to issue approvals.

On the subject of ethics and review panels, we encourage you to consider talking openly and honestly with your supervisors and/or funders about the situations where a written consent form may not be suitable and might need to be replaced with “verbal consent.” For instance, doing fieldwork in politically unstable contexts, highly scrutinized environments, or vulnerable communities, like refugees, might create obstacles for the interviewees as well as the researcher. The literature discusses the dilemma in offering the interviewees anonymity and requesting signed written consent in addition to the emphasis on total confidentiality ( Jacobsen and Landau 2003 ; Mackenzie, McDowell, and Pittaway 2007 ; Saunders, Kitzinger, and Kitzinger 2015 ). Therefore, in those situations, the researcher might need to take the initiative on how to act while doing the interviews as rigorously as possible. In her fieldwork, Irgil faced this situation as the political context of Turkey did not guarantee that there would not be any adverse consequences for interviewees on both sides of her story: citizens of Turkey and Syrian refugees. Consequently, she took hand-written notes and asked interviewees for their verbal consent in a safe interview atmosphere. This is something respondents greatly appreciated ( Irgil 2020 ).

Ethical considerations, of course, also affect the research design itself, with ramifications for fieldwork. When Kreft began developing her Ph.D. proposal to study women's political and civil society mobilization in response to conflict-related sexual violence, she initially aimed to recruit interviewees from the universe of victims of this violence, to examine variation among those who did and those who did not mobilize politically. As a result of deeper engagement with the literature on researching conflict-related sexual violence, conversations with senior colleagues who had interviewed victims, and critical self-reflection of her status as a researcher (with no background in psychology or social work), she decided to change focus and shift toward representatives of civil society organizations and victims’ associations. This constituted a major reconfiguration of her research design, from one geared toward identifying the factors that drive mobilization of victims toward using insights from interviews to understand better how those mobilize perceive and “make sense” of conflict-related sexual violence. Needless to say, this required alterations to research strategies and interview guides, including reassessing her planned fieldwork. Kreft's primary consideration was not to cause harm to her research participants, particularly in the form of re-traumatization. She opted to speak only with those women who on account of their work are used to speaking about conflict-related sexual violence. In no instance did she inquire about interviewees’ personal experiences with sexual violence, although several brought this up on their own during the interviews.

Finally, if you are conducting research in another country where you have less-than-professional fluency in the language, pre-fieldwork planning should include hiring a translator or research assistant, for example, through an online hiring platform like Upwork, or a local university. Your national embassy or consulate is another option; many diplomatic offices have lists of individuals who they have previously contracted. More generally, establishing contact with a local university can be beneficial, either in the form of a visiting researcher arrangement, which grants access to research groups and facilities like libraries or informally contacting individual researchers. The latter may have valuable insights into the local context, contacts to potential research participants, and they may even be able to recommend translators or research assistants. Kreft, for example, hired local research assistants recommended by researchers at a Bogotá-based university and remunerated them equivalent to the salary they would have received as graduate research assistants at the university, while also covering necessary travel expenses. Irgil, on the other hand, established contacts with native citizens and Syrian gatekeepers, who are shop owners in the area where she conducted her research because she had the opportunity to visit the fieldwork site multiple times.

Depending on the research agenda, researchers may visit national archives, local government offices, etc. Before visiting, researchers should contact these facilities and make sure the materials that they need are accessible. For example, Lee visited the Ronald Reagan Presidential Library Archives to find the United States’ strategic evaluations on South Korea's dictator in the 1980s. Before her visit, she contacted librarians in the archives, telling them her visit plans and her research purpose. Librarians made suggestions on which categories she should start to review based on her research goal, and thus she was able to make a list of categories of the materials she needed, saving her a lot of her time.

Accessibility of and access to certain facilities/libraries can differ depending on locations/countries and types of facilities. Facilities in authoritarian countries might not be easily accessible to foreign researchers. Within democratic countries, some facilities are more restrictive than others. Situations like the pandemic or national holidays can also restrict accessibility. Therefore, researchers are well advised to do preliminary research on whether a certain facility opens during the time they visit and is accessible to researchers regardless of their citizenship status. Moreover, researchers must contact the staff of facilities to know whether identity verification is needed and if so, what kind of documents (photo I.D. or passport) should be exhibited.

Adapting to the Reality of the Field

Researchers need to be flexible because you may meet people you did not make appointments with, come across opportunities you did not expect, or stumble upon new ideas about collecting data in the field. These happenings will enrich your field experience and will ultimately be beneficial for your research. Similarly, researchers should not be discouraged by interviews that do not go according to plan; they present an opportunity to pursue relevant people who can provide an alternative path to your work. Note that planning ahead does not preclude fortuitous encounters or epiphanies. Rather, it provides a structure for them to happen.

If your fieldwork entails travelling abroad, you will also be able to recruit more interviewees once you arrive at your research site. In fact, you may have greater success in-country; not everyone is willing to respond to a cold email from an unknown researcher in a foreign country. In Irgil's fieldwork, she contacted store owners that are known in the area and who know the community. This eased her process of introduction into the community and recruiting interviewees. For Zvobgo, she had fewer than a dozen interviews scheduled when she travelled to Guatemala to study civil society activism and transitional justice since the internal armed conflict. But she was able to recruit additional participants in-country. Interviewees with whom she built a rapport connected her to other NGOs, government offices, and the United Nations country office, sometimes even making the call and scheduling interviews for her. Through snowball sampling, she was able to triple the number of participants. Likewise, snowball sampling was central to Kreft's recruitment of interview partners. Several of her interviewees connected her to highly relevant individuals she would never have been able to identify and contact based on web searches alone.

While in the field, you may nonetheless encounter obstacles that necessitate adjustments to your original plans. Once Kreft had arrived in Colombia, for example, it transpired quickly that carrying out in-person interviews in more remote/rural areas was near impossible given her means, as these were not easily accessible by bus/coach, further complicated by a complex security situation. Instead, she adjusted her research design and shifted her focus to the big cities, where most of the major civil society organizations are based. She complemented the in-person interviews carried out there with a smaller number of phone interviews with civil society activists in rural areas, and she was also able to meet a few activists operating in rural or otherwise inaccessible areas as they were visiting the major cities. The resulting focus on urban settings changed the kinds of generalizations she was able to make based on her fieldwork data and produced a somewhat different study than initially anticipated.

This also has been the case for Irgil, despite her prior arrangements with the Syrian gatekeepers, which required adjustments as in the case of Kreft. Irgil acquired research clearance one year before, during the interviews with native citizens, conducting the interviews with Syrian refugees. She also had her questionnaire ready based on the previously collected data and the media search she had conducted for over a year before travelling to the field site. As she was able to visit the field site multiple times, two months before conducting interviews with Syrian refugees, she developed a schedule with the Syrian gatekeepers and informants. Yet, once she was in the field, influenced by Turkey's recent political events and the policy of increasing control over Syrian refugees, half of the previously agreed informants changed their minds or did not want to participate in interviews. As Irgil was following the policies and the news related to Syrian refugees in Turkey closely, this did not come as that big of a surprise but challenged the previously developed strategy to recruit interviewees. Thus, she changed the strategy of finding interviewees in the field site, such as asking people, almost one by one, whether they would like to participate in the interview. Eventually, she could not find willing Syrian women refugees as she had planned, which resulted in a male-dominant sample. As researchers encounter such situations, it is essential to remind oneself that not everything can go according to plan, that “different” does not equate to “worse,” but that it is important to consider what changes to fieldwork data collection and sampling imply for the study's overall findings and the contribution it makes to the literature.

We should note that conducting interviews is very taxing—especially when opportunities multiply, as in Zvobgo's case. Depending on the project, each interview can take an hour, if not two or more. Hence, you should make a reasonable schedule: we recommend no more than two interviews per day. You do not want to have to cut off an interview because you need to rush to another one, whether the interviews are in-person or remote. And you do not want to be too exhausted to have a robust engagement with your respondent who is generously lending you their time. Limiting the number of interviews per day is also important to ensure that you can write comprehensive and meaningful fieldnotes, which becomes even more essential where it is not possible to audio-record your interviews. Also, be sure to remember to eat, stay hydrated, and try to get enough sleep.

Finally, whether to provide gifts or payments to the subject also requires adapting to the reality of the field. You must think about payments beforehand when you apply for IRB approval (or whatever other ethical review processes may be in place) since these applications usually contain questions about payments. Obviously, the first step is to carefully evaluate whether the gifts and payments provided can harm the subject or are likely to unduly affect the responses they will give in response to your questions. If that is not the case, you have to make payment decisions based on your budget, field situation, and difficulties in recruitment. Usually, payment of respondents is more common in survey research, whereas it is less common in interviews and focus groups.

Nevertheless, payment practices vary depending on the field and the target group. In some cases, it may become a custom to provide small gifts or payments when interviewing a certain group. In other cases, interviewees might be offended if they are provided with money. Therefore, knowing past practices and field situations is important. For example, Lee provided small coffee gift cards to one group while she did not to the other based on previous practices of other researchers. That is, for a particular group, it has become a custom for interviewers to pay interviewees. Sometimes, you may want to reimburse your subject's interview costs such as travel expenses and provide beverages and snacks during the conduct of research, as Kreft did when conducting focus groups in Colombia. To express your gratitude to your respondents, you can prepare small gifts such as your university memorabilia (e.g., notebooks and pens). Since past practices about payments can affect your interactions and interviews with a target group, you want to seek advice from your colleagues and other researchers who had experiences interacting with the target group. If you cannot find researchers who have this knowledge, you can search for published works on the target population to find if the authors share their interview experiences. You may also consider contacting the authors for advice before your interviews.

Researching Strategically

Distinguishing between things that can only be done in person at a particular site and things that can be accomplished later at home is vital. Prioritize the former over the latter. Lee's fieldwork experience serves as a good example. She studied a conservative protest movement called the Taegeukgi Rally in South Korea. She planned to conduct interviews with the rally participants to examine their motivations for participating. But she only had one month in South Korea. So, she focused on things that could only be done in the field: she went to the rally sites, she observed how protests proceeded, which tactics and chants were used, and she met participants and had some casual conversations with them. Then, she used the contacts she made while attending the rallies to create a social network to solicit interviews from ordinary protesters, her target population. She was able to recruit twenty-five interviewees through good rapport with the people she met. The actual interviews proceeded via phone after she returned to the United States. In a nutshell, we advise you not to be obsessed with finishing interviews in the field. Sometimes, it is more beneficial to use your time in the field to build relationships and networks.

Working With Assistants and Translators

A final consideration on logistics is working with research assistants or translators; it affects how you can carry out interviews, focus groups, etc. To what extent constant back-and-forth translation is necessary or advisable depends on the researcher's skills in the interview language and considerations about time and efficiency. For example, Kreft soon realized that she was generally able to follow along quite well during her interviews in Colombia. In order to avoid precious time being lost to translation, she had her research assistant follow the interview guide Kreft had developed, and interjected follow-up questions in Spanish or English (then to be translated) as they arose.

Irgil's and Zvobgo's interviews went a little differently. Irgil's Syrian refugee interviewees in Turkey were native Arabic speakers, and Zvobgo's interviewees in Guatemala were native Spanish speakers. Both Irgil and Zvobgo worked with research assistants. In Irgil's case, her assistant was a Syrian man, who was outside of the area. Meanwhile, Zvobgo's assistant was an undergraduate from her home institution with a Spanish language background. Irgil and Zvobgo began preparing their assistants a couple of months before entering the field, over Skype for Irgil and in-person for Zvobgo. They offered their assistants readings and other resources to provide them with the necessary background to work well. Both Irgil and Zvobgo's research assistants joined them in the interviews and actually did most of the speaking, introducing the principal investigator, explaining the research, and then asking the questions. In Zvobgo's case, interviewee responses were relayed via a professional interpreter whom she had also hired. After every interview, Irgil and Zvobgo and their respective assistants discussed the answers of the interviewees, potential improvements in phrasing, and elaborated on their hand-written interview notes. As a backup, Zvobgo, with the consent of her respondents, had accompanying audio recordings.

Researchers may carry out fieldwork in a country that is considerably less safe than what they are used to, a setting affected by conflict violence or high crime rates, for instance. Feelings of insecurity can be compounded by linguistic barriers, cultural particularities, and being far away from friends and family. Insecurity is also often gendered, differentially affecting women and raising the specter of unwanted sexual advances, street harassment, or even sexual assault ( Gifford and Hall-Clifford 2008 ; Mügge 2013 ). In a recent survey of Political Science graduate students in the United States, about half of those who had done fieldwork internationally reported having encountered safety issues in the field, (54 percent female, 47 percent male), and only 21 percent agreed that their Ph.D. programs had prepared them to carry out their fieldwork safely ( Schwartz and Cronin-Furman 2020 , 8–9).

Preventative measures scholars may adopt in an unsafe context may involve, at their most fundamental, adjustments to everyday routines and habits, restricting one's movements temporally and spatially. Reliance on gatekeepers may also necessitate adopting new strategies, such as a less vehement and cold rejection of unwanted sexual advances than one ordinarily would exhibit, as Mügge (2013) illustratively discusses. At the same time, a competitive academic job market, imperatives to collect novel and useful data, and harmful discourses surrounding dangerous fieldwork also, problematically, shape incentives for junior researchers to relax their own standards of what constitutes acceptable risk ( Gallien 2021 ).

Others have carefully collected a range of safety precautions that field researchers in fragile or conflict-affected settings may take before and during fieldwork ( Hilhorst et al. 2016 ). Therefore, we are more concise in our discussion of recommendations, focusing on the specific situations of graduate students. Apart from ensuring that supervisors and university administrators have the researcher's contact information in the field (and possibly also that of a local contact person), researchers can register with their country's embassy or foreign office and any crisis monitoring and prevention systems it has in place. That way, they will be informed of any possible unfolding emergencies and the authorities have a record of them being in the country.

It may also be advisable to set up more individualized safety protocols with one or two trusted individuals, such as friends, supervisors, or colleagues at home or in the fieldwork setting itself. The latter option makes sense in particular if one has an official affiliation with a local institution for the duration of the fieldwork, which is often advisable. Still, we would also recommend establishing relationships with local researchers in the absence of a formal affiliation. To keep others informed of her whereabouts, Kreft, for instance, made arrangements with her supervisors to be in touch via email at regular intervals to report on progress and wellbeing. This kept her supervisors in the loop, while an interruption in communication would have alerted them early if something were wrong. In addition, she announced planned trips to other parts of the country and granted her supervisors and a colleague at her home institution emergency reading access to her digital calendar. To most of her interviews, she was moreover accompanied by her local research assistant/translator. If the nature of the research, ethical considerations, and the safety situation allow, it might also be possible to bring a local friend along to interviews as an “assistant,” purely for safety reasons. This option needs to be carefully considered already in the planning stage and should, particularly in settings of fragility or if carrying out research on politically exposed individuals, be noted in any ethical and institutional review processes where these are required. Adequate compensation for such an assistant should be ensured. It may also be advisable to put in place an emergency plan, that is, choose emergency contacts back home and “in the field,” know whom to contact if something happens, and know how to get to the nearest hospital or clinic.

We would be remiss if we did not mention that, when in an unfamiliar context, one's safety radar may be misguided, so it is essential to listen to people who know the context. For example, locals can give advice on which means of transport are safe and which are not, a question that is of the utmost importance when traveling to appointments. For example, Kreft was warned that in Colombia regular taxis are often unsafe, especially if waved down in the streets, and that to get to her interviews safely, she should rely on a ride-share service. In one instance, a Colombian friend suggested that when there was no alternative to a regular taxi, Kreft should book through the app and share the order details, including the taxi registration number or license plate, with a friend. Likewise, sharing one's cell phone location with a trusted friend while traveling or when one feels unsafe may be a viable option. Finally, it is prudent to heed the safety recommendations and travel advisories provided by state authorities and embassies to determine when and where it is safe to travel. Especially if researchers have a responsibility not only for themselves but also for research assistants and research participants, safety must be a top priority.

This does not mean that a researcher should be careless in a context they know either. Of course, conducting fieldwork in a context that is known to the researcher offers many advantages. However, one should be prepared to encounter unwanted events too. For instance, Irgil has conducted fieldwork in her country of origin in a city she knows very well. Therefore, access to the site, moving around the site, and blending in has not been a problem; she also has the advantage of speaking the native language. Yet, she took notes of the streets she walked in, as she often returned from the field site after dark and thought she might get confused after a tiring day. She also established a closer relationship with two or three store owners in different parts of the field site if she needed something urgent, like running out of battery. Above all, one should always be aware of one's surroundings and use common sense. If something feels unsafe, chances are it is.

Fieldwork may negatively affect the researcher's mental health and mental wellbeing regardless of where one's “field” is, whether related to concerns about crime and insecurity, linguistic barriers, social isolation, or the practicalities of identifying, contacting and interviewing research participants. Coping with these different sources of stress can be both mentally and physically exhausting. Then there are the things you may hear, see and learn during the research itself, such as gruesome accounts of violence and suffering conveyed in interviews or archival documents one peruses. Kreft and Zvobgo have spoken with women victims of conflict-related sexual violence, who sometimes displayed strong emotions of pain and anger during the interviews. Likewise, Irgil and Willis have spoken with members of other vulnerable populations such as refugees and former sex workers ( Willis 2020 ).

Prior accounts ( Wood 2006 ; Loyle and Simoni 2017 ; Skjelsbæk 2018 ; Hummel and El Kurd 2020 ; Williamson et al. 2020 ; Schulz and Kreft 2021 ) show that it is natural for sensitive research and fieldwork challenges to affect or even (vicariously) traumatize the researcher. By removing researchers from their regular routines and support networks, fieldwork may also exacerbate existing mental health conditions ( Hummel and El Kurd 2020 ). Nonetheless, mental wellbeing is rarely incorporated into fieldwork courses and guidelines, where these exist at all. But even if you know to anticipate some sort of reaction, you rarely know what that reaction will be until you experience it. When researching sensitive or difficult topics, for example, reactions can include sadness, frustration, anger, fear, helplessness, and flashbacks to personal experiences of violence ( Williamson et al. 2020 ). For example, Kreft responded with episodic feelings of depression and both mental and physical exhaustion. But curiously, these reactions emerged most strongly after she had returned from fieldwork and in particular as she spent extended periods analyzing her interview data, reliving some of the more emotional scenes during the interviews and being confronted with accounts of (sexual) violence against women in a concentrated fashion. This is a crucial reminder that fieldwork does not end when one returns home; the after-effects may linger. Likewise, Zvobgo was physically and mentally drained upon her return from the field. Both Kreft and Zvobgo were unable to concentrate for long periods of time and experienced lower-than-normal levels of productivity for weeks afterward, patterns that formal and informal conversations with other scholars confirm to be common ( Schulz and Kreft 2021 ). Furthermore, the boundaries between “field” and “home” are blurred when conducting remote fieldwork ( Howlett 2021 , 11).

Nor are these adverse reactions limited to cases where the researcher has carried out the interviews themselves. Accounts of violence, pain, and suffering transported in reports, secondary literature, or other sources can evoke similar emotional stress, as Kreft experienced when engaging in a concentrated fashion with additional accounts of conflict-related sexual violence in Colombia and with the feminist literature on sexual and gender-based violence in the comfort of her Swedish office. This could also be applicable to Irgil's fieldwork as she interviewed refugees whose traumas have come out during the interviews or recall specific events triggered by the questions. Likewise, Lee has reviewed primary and secondary materials on North Korean defectors in the national archives and these materials contain violent, intense, emotional narratives.

Fortunately, there are several strategies to cope with and manage such adverse consequences. In a candid and insightful piece, other researchers have discussed the usefulness of distractions, sharing with colleagues, counseling, exercise, and, probably less advisable in the long term, comfort eating and drinking ( Williamson et al. 2020 ; see also Loyle and Simoni 2017 ; Hummel and El Kurd 2020 ). Our experiences largely tally with their observations. In this section, we explore some of these in more detail.

First, in the face of adverse consequences on your mental wellbeing, whether in the field or after your return, it is essential to be patient and generous with yourself. Negative effects on the researcher's mental wellbeing can hit in unexpected ways and at unexpected times. Even if you think that certain reactions are disproportionate or unwarranted at that specific moment, they may simply have been building up over a long time. They are legitimate. Second, the importance of taking breaks and finding distractions, whether that is exercise, socializing with friends, reading a good book, or watching a new series, cannot be overstated. It is easy to fall into a mode of thinking that you constantly have to be productive while you are “in the field,” to maximize your time. But as with all other areas in life, balance is key and rest is necessary. Taking your mind off your research and the research questions you puzzle over is also a good way to more fully soak up and appreciate the context in which you find yourself, in the case of in-person fieldwork, and about which you ultimately write.

Third, we cannot stress enough the importance of investing in social relations. Before going on fieldwork, researchers may want to consult others who have done it before them. Try to find (junior) scholars who have done fieldwork on similar kinds of topics or in the same country or countries you are planning to visit. Utilizing colleagues’ contacts and forging connections using social media are valuable strategies to expand your networks (in fact, this very paper is the result of a social media conversation and several of the authors have never met in person). Having been in the same situation before, most field researchers are, in our experience, generous with their time and advice. Before embarking on her first trip to Colombia, Kreft contacted other researchers in her immediate and extended network and received useful advice on questions such as how to move around Bogotá, whom to speak to, and how to find a research assistant. After completing her fieldwork, she has passed on her experiences to others who contacted her before their first fieldwork trip. Informal networks are, in the absence of more formalized fieldwork preparation, your best friend.

In the field, seeking the company of locals and of other researchers who are also doing fieldwork alleviates anxiety and makes fieldwork more enjoyable. Exchanging experiences, advice and potential interviewee contacts with peers can be extremely beneficial and make the many challenges inherent in fieldwork (on difficult topics) seem more manageable. While researchers conducting remote fieldwork may be physically isolated from other researchers, even connecting with others doing remote fieldwork may be comforting. And even when there are no precise solutions to be found, it is heartening or even cathartic to meet others who are in the same boat and with whom you can talk through your experiences. When Kreft shared some of her fieldwork-related struggles with another researcher she had just met in Bogotá and realized that they were encountering very similar challenges, it was like a weight was lifted off her shoulders. Similarly, peer support can help with readjustment after the fieldwork trip, even if it serves only to reassure you that a post-fieldwork dip in productivity and mental wellbeing is entirely natural. Bear in mind that certain challenges are part of the fieldwork experience and that they do not result from inadequacy on the part of the researcher.

Finally, we would like to stress a point made by Inger Skjelsbæk (2018 , 509) and which has not received sufficient attention: as a discipline, we need to take the question of researcher mental wellbeing more seriously—not only in graduate education, fieldwork preparation, and at conferences, but also in reflecting on how it affects the research process itself: “When strong emotions arise, through reading about, coding, or talking to people who have been impacted by [conflict-related sexual violence] (as victims or perpetrators), it may create a feeling of being unprofessional, nonscientific, and too subjective.”

We contend that this is a challenge not only for research on sensitive issues but also for fieldwork more generally. To what extent is it possible, and desirable, to uphold the image of the objective researcher during fieldwork, when we are at our foundation human beings? And going even further, how do the (anticipated) effects of our research on our wellbeing, and the safety precautions we take ( Gifford and Hall-Clifford 2008 ), affect the kinds of questions we ask, the kinds of places we visit and with whom we speak? How do they affect the methods we use and how we interpret our findings? An honest discussion of affective responses to our research in methods sections seems utopian, as emotionality in the research process continues to be silenced and relegated to the personal, often in gendered ways, which in turn is considered unconnected to the objective and scientific research process ( Jamar and Chappuis 2016 ). But as Gifford and Hall-Clifford (2008 , 26) aptly put it: “Graduate education should acknowledge the reality that fieldwork is scholarly but also intimately personal,” and we contend that the two shape each other. Therefore, we encourage political science as a discipline to reflect on researcher wellbeing and affective responses to fieldwork more carefully, and we see the need for methods courses that embrace a more holistic notion of the subjectivity of the researcher.

Interacting with people in the field is one of the most challenging yet rewarding parts of the work that we do, especially in comparison to impersonal, often tedious wrangling and analysis of quantitative data. Field researchers often make personal connections with their interviewees. Consequently, maintaining boundaries can be a bit tricky. Here, we recommend being honest with everyone with whom you interact without overstating the abilities of a researcher. This appears as a challenge in the field, particularly when you empathize with people and when they share profound parts of their lives with you for your research in addition to being “human subjects” ( Fujii 2012 ). For instance, when Irgil interviewed native citizens about the changes in their neighborhood following the arrival of Syrian refugees, many interviewees questioned what she would offer them in return for their participation. Irgil responded that her primary contribution would be her published work. She also noted, however, that academic papers can take a year, sometimes longer, to go through the peer-reviewed process and, once published, many studies have a limited audience. The Syrian refugees posed similar questions. Irgil responded not only with honesty but also, given this population's vulnerable status, she provided them contact information for NGOs with which they could connect if they needed help or answers to specific questions.

For her part, Zvobgo was very upfront with her interviewees about her role as a researcher: she recognized that she is not someone who is on the frontlines of the fight for human rights and transitional justice like they are. All she could/can do is use her platform to amplify their stories, bringing attention to their vital work through her future peer-reviewed publications. She also committed to sending them copies of the work, as electronic journal articles are often inaccessible due to paywalls and university press books are very expensive, especially for nonprofits. Interviewees were very receptive; some were even moved by the degree of self-awareness and the commitment to do right by them. In some cases, this prompted them to share even more, because they knew that the researcher was really there to listen and learn. This is something that junior scholars, and all scholars really, should always remember. We enter the field to be taught. Likewise, Kreft circulated among her interviewees Spanish-language versions of an academic article and a policy brief based on the fieldwork she had carried out in Colombia.

As researchers from the Global North, we recognize a possible power differential between us and our research subjects, and certainly an imbalance in power between the countries where we have been trained and some of the countries where we have done and continue to do field research, particularly in politically dynamic contexts ( Knott 2019 ). This is why we are so concerned with being open and transparent with everyone with whom we come into contact in the field and why we are committed to giving back to those who so generously lend us their time and knowledge. Knott (2019 , 148) summarizes this as “Reflexive openness is a form of transparency that is methodologically and ethically superior to providing access to data in its raw form, at least for qualitative data.”

We also recognize that academics, including in the social sciences and especially those hailing from countries in the Global North, have a long and troubled history of exploiting their power over others for the sake of their research—including failing to be upfront about their research goals, misrepresenting the on-the-ground realities of their field research sites (including remote fieldwork), and publishing essentializing, paternalistic, and damaging views and analyses of the people there. No one should build their career on the backs of others, least of all in a field concerned with the possession and exercise of power. Thus, it is highly crucial to acknowledge the power hierarchies between the researcher and the interviewees, and to reflect on them both in the field and beyond the field upon return.

A major challenge to conducting fieldwork is when researchers’ carefully planned designs do not go as planned due to unforeseen events outside of our control, such as pandemics, natural disasters, deteriorating security situations in the field, or even the researcher falling ill. As the Covid-19 pandemic has made painfully clear, researchers may face situations where in-person research is simply not possible. In some cases, researchers may be barred entry to their fieldwork site; in others, the ethical implications of entering the field greatly outweigh the importance of fieldwork. Such barriers to conducting in-person research require us to reconsider conventional notions of what constitutes fieldwork. Researchers may need to shift their data collection methods, for example, conducting interviews remotely instead of in person. Even while researchers are in the field, they may still need to carry out part of their interviews or surveys virtually or by phone. For example, Kreft (2020) carried out a small number of interviews remotely while she was based in Bogotá, because some of the women's civil society activists with whom she intended to speak were based in parts of the country that were difficult and/or dangerous to access.

Remote field research, which we define as the collection of data over the internet or over the phone where in-person fieldwork is not possible due to security, health or other risks, comes with its own sets of challenges. For one, there may be certain populations that researchers cannot reach remotely due to a lack of internet connectivity or technology such as cellphones and computers. In such instances, there will be a sampling bias toward individuals and groups that do have these resources, a point worth noting when scholars interpret their research findings. In the case of virtual research, the risk of online surveillance, hacking, or wiretapping may also produce reluctance on the part of interviewees to discuss sensitive issues that may compromise their safety. Researchers need to carefully consider how the use of digital technology may increase the risk to research participants and what changes to the research design and any interview guides this necessitates. In general, it is imperative that researchers reflect on how they can ethically use digital technology in their fieldwork ( Van Baalen 2018 ). Remote interviews may also be challenging to arrange for researchers who have not made connections in person with people in their community of interest.

Some of the serendipitous happenings we discussed earlier may also be less likely and snowball sampling more difficult. For example, in phone or virtual interviews, it is harder to build good rapport and trust with interviewees as compared to face-to-face interviews. Accordingly, researchers should be more careful in communicating with interviewees and creating a comfortable interview environment. Especially when dealing with sensitive topics, researchers may have to make several phone calls and sometimes have to open themselves to establishing trust with interviewees. Also, researchers must be careful in protecting interviewees in phone or virtual interviews when they deal with sensitive topics of countries interviewees reside in.

The inability to physically visit one's community of interest may also encourage scholars to critically reflect on how much time in the field is essential to completing their research and to consider creative, alternative means for accessing information to complete their projects. While data collection techniques such as face-to-face interviews and archival work in the field may be ideal in normal times, there exist other data sources that can provide comparably useful information. For example, in her research on the role of framing in the United States base politics, Willis found that social media accounts and websites yielded information useful to her project. Many archives across the world have also been digitized. Researchers may also consider crowdsourcing data from the field among their networks, as fellow academics tend to collect much more data in the field than they ever use in their published works. They may also elect to hire someone, perhaps a graduate student, in a city or a country where they cannot travel and have the individual access, scan, and send archival materials. This final suggestion may prove generally useful to researchers with limited time and financial resources.

Remote qualitative data collection techniques, while they will likely never be “the gold-standard,” also pose several advantages. These techniques may help researchers avoid some of the issues mentioned previously. Remote interviews, for example, are less time-consuming in terms of travel to the interview site ( Archibald et al. 2019 ). The implication is that researchers may have less fatigue from conducting interviews and/or may be able to conduct more interviews. For example, while Willis had little energy to do anything else after an in-person interview (or two) in a given day, she had much more energy after completing remote interviews. Second, remote fieldwork also helps researchers avoid potentially dangerous situations in the field mentioned previously. Lastly, remote fieldwork generally presents fewer financial barriers than in-person research ( Archibald et al. 2019 ). In that sense, considering remote qualitative data collection, a type of “fieldwork” may make fieldwork more accessible to a greater number of scholars.

Many of the substantive, methodological and practical challenges that arise during fieldwork can be anticipated. Proper preparation can help you hit the ground running once you enter your fieldwork destination, whether in-person or virtually. Nonetheless, there is no such thing as being perfectly prepared for the field. Some things will simply be beyond your control, and especially as a newcomer to field research, and you should be prepared for things to not go as planned. New questions will arise, interview participants may cancel appointments, and you might not get the answers you expected. Be ready to make adjustments to research plans, interview guides, or questionnaires. And, be mindful of your affective reactions to the overall fieldwork situation and be gentle with yourself.

We recommend approaching fieldwork as a learning experience as much as, or perhaps even more than, a data collection effort. This also applies to your research topic. While it is prudent always to exercise a healthy amount of skepticism about what people tell you and why, the participants in your research will likely have unique perspectives and knowledge that will challenge yours. Be an attentive listener and remember that they are experts of their own experiences.

We encourage more institutions to offer courses that cover field research preparation and planning, practical advice on safety and wellbeing, and discussion of ethics. Specifically, we align with Schwartz and Cronin-Furman's (2020 , 3) contention “that treating fieldwork preparation as the methodology will improve individual scholars’ experiences and research.” In this article, we outline a set of issue areas in which we think formal preparation is necessary, but we note that our discussion is by no means exhaustive. Formal fieldwork preparation should also extend beyond what we have covered in this article, such as issues of data security and preparing for nonqualitative fieldwork methods. We also note that field research is one area that has yet to be comprehensively addressed in conversations on diversity and equity in the political science discipline and the broader academic profession. In a recent article, Brielle Harbin (2021) begins to fill this gap by sharing her experiences conducting in-person election surveys as a Black woman in a conservative and predominantly white region of the United States and the challenges that she encountered. Beyond race and gender, citizenship, immigration status, one's Ph.D. institution and distance to the field also affect who is able to do what type of field research, where, and for how long. Future research should explore these and related questions in greater detail because limits on who is able to conduct field research constrict the sociological imagination of our field.

While Emmons and Moravcsik (2020) focus on leading Political Science Ph.D. programs in the United States, these trends likely obtain, both in lower ranked institutions in the broader United States as well as in graduate education throughout North America and Europe.

As all the authors have carried out qualitative fieldwork, this is the primary focus of this guide. This does not, however, mean that we exclude quantitative or experimental data collection from our definition of fieldwork.

There is great variation in graduate students’ financial situations, even in the Global North. For example, while higher education is tax-funded in most countries in Europe and Ph.D. students in countries such as Sweden, Norway, Denmark, the Netherlands, and Switzerland receive a comparatively generous full-time salary, healthcare and contributions to pension schemes, Ph.D. programs in other contexts like the United States and the United Kingdom have (high) enrollment fees and rely on scholarships, stipends, or departmental duties like teaching to (partially) offset these, while again others, such as Germany, are commonly financed by part-time (50 percent) employment at the university with tasks substantively unrelated to the dissertation. These different preconditions leave many Ph.D. students struggling financially and even incurring debt, while others are in a more comfortable financial position. Likewise, Ph.D. programs around the globe differ in structure, such as required coursework, duration and supervision relationships. Naturally, all of these factors have a bearing on the extent to which fieldwork is feasible. We acknowledge unequal preconditions across institutions and contexts, and trust that those Ph.D. students interested in pursuing fieldwork are best able to assess the structural and institutional context in which they operate and what this implies for how, when, and how long to carry out fieldwork.

In our experience, this is not only the general cycle for graduate students in North America, but also in Europe and likely elsewhere.

For helpful advice and feedback on earlier drafts, we wish to thank the editors and reviewers at International Studies Review , and Cassandra Emmons. We are also grateful to our interlocuters in Argentina, Canada, Colombia, Germany, Guatemala, Japan, Kenya, Norway, the Philippines, Sierra Leone, South Korea, Spain, Sweden, Turkey, the United Kingdom, and the United States, without whom this reflection on fieldwork would not have been possible. All authors contributed equally to this manuscript.

This material is based upon work supported by the Forskraftstiftelsen Theodor Adelswärds Minne, Knut and Alice Wallenberg Foundation(KAW 2013.0178), National Science Foundation Graduate Research Fellowship Program(DGE-1418060), Southeast Asia Research Group (Pre-Dissertation Fellowship), University at Albany (Initiatives for Women and the Benevolent Association), University of Missouri (John D. Bies International Travel Award Program and Kinder Institute on Constitutional Democracy), University of Southern California (Provost Fellowship in the Social Sciences), Vetenskapsrådet(Diarienummer 2019-06298), Wilhelm och Martina Lundgrens Vetenskapsfond(2016-1102; 2018-2272), and William & Mary (Global Research Institute Pre-doctoral Fellowship).

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Chapter 2: Sociological Research

Research methods: field research, learning outcomes.

• Explain the three types of field research: participant observation, ethnography, and case studies

Field Research

Figure 1. Sociological researchers travel across countries and cultures to interact with and observe subjects in their natural environments. (Photo courtesy of IMLS Digital Collections and Content/flickr and Olympic National Park

The work of sociology rarely happens in limited, confined spaces. Sociologists seldom study subjects in their own offices or laboratories. Rather, sociologists go out into the world. They meet subjects where they live, work, and play. Field research refers to gathering primary data from a natural environment without doing a lab experiment or a survey. It is a research method suited to an interpretive framework rather than to the scientific method. To conduct field research, the sociologist must be willing to step into new environments and observe, participate, or experience those worlds. In field work, the sociologists, rather than the subjects, are the ones out of their element.

The researcher interacts with or observes a person or people and gathers data along the way. The key point in field research is that it takes place in the subject’s natural environment, whether it’s a coffee shop or tribal village, a homeless shelter or the DMV, a hospital, airport, mall, or beach resort.

While field research often begins in a specific setting , the study’s purpose is to observe specific behaviors in that setting. Field work is optimal for observing how people behave. It is less useful, however, for understanding why they behave that way. You can’t really narrow down cause and effect when there are so many variables to be factored into a natural environment.

Many of the data gathered in field research are based not on cause and effect but on correlation. And while field research looks for correlation, its small sample size does not allow for establishing a causal relationship between two variables.

Parrotheads as Sociological Subjects

Figure 2. Business suits for the day job are replaced by leis and T-shirts for a Jimmy Buffett concert. (Photo courtesy of Sam Howzitt/flickr)

Some sociologists study small groups of people who share an identity in one aspect of their lives. Almost everyone belongs to a group of like-minded people who share an interest or hobby. Scientologists, Nordic folk dancers, or members of Mensa (an organization for people with exceptionally high IQs) express a specific part of their identity through their affiliation with a group. Those groups are often of great interest to sociologists.

Jimmy Buffett, an American musician who built a career from his top-10 song “Margaritaville,” has a following of devoted groupies called Parrotheads. Some of them have taken fandom to the extreme, making Parrothead culture a lifestyle. In 2005, Parrotheads and their subculture caught the attention of researchers John Mihelich and John Papineau. The two saw the way Jimmy Buffett fans collectively created an artificial reality. They wanted to know how fan groups shape culture.

What Mihelich and Papineau found was that Parrotheads, for the most part, do not seek to challenge or even change society, as many sub-groups do. In fact, most Parrotheads live successfully within society, holding upper-level jobs in the corporate world. What they seek is escape from the stress of daily life.

At Jimmy Buffett concerts, Parrotheads engage in a form of role play. They paint their faces and dress for the tropics in grass skirts, Hawaiian leis, and Parrot hats. These fans don’t generally play the part of Parrotheads outside of these concerts; you are not likely to see a lone Parrothead in a bank or library. In that sense, Parrothead culture is less about individualism and more about conformity in a group setting. Being a Parrothead means sharing a specific identity. Parrotheads feel connected to each other: it’s a group identity, not an individual one.

In their study, Mihelich and Papineau quote from a book by sociologist Richard Butsch, who writes, “un-self-conscious acts, if done by many people together, can produce change, even though the change may be unintended” (2000). Many Parrothead fan groups have performed good works in the name of Jimmy Buffett culture, donating to charities and volunteering their services.

However, the authors suggest that what really drives Parrothead culture is commercialism. Jimmy Buffett’s popularity was dying out in the 1980s until being reinvigorated after he signed a sponsorship deal with a beer company. These days, his concert tours alone generate nearly $30 million a year. Buffett made a lucrative career for himself by partnering with product companies and marketing Margaritaville in the form of T-shirts, restaurants, casinos, and an expansive line of products. Some fans accuse Buffett of selling out, while others admire his financial success. Buffett makes no secret of his commercial exploitations; from the stage, he’s been known to tell his fans, “Just remember, I am spending your money foolishly.”

Mihelich and Papineau gathered much of their information online. Referring to their study as a “Web ethnography,” they collected extensive narrative material from fans who joined Parrothead clubs and posted their experiences on websites. “We do not claim to have conducted a complete ethnography of Parrothead fans, or even of the Parrothead Web activity,” state the authors, “but we focused on particular aspects of Parrothead practice as revealed through Web research” (2005). Fan narratives gave them insight into how individuals identify with Buffett’s world and how fans used popular music to cultivate personal and collective meaning.

In conducting studies about pockets of culture, most sociologists seek to discover a universal appeal. Mihelich and Papineau stated, “Although Parrotheads are a relative minority of the contemporary US population, an in-depth look at their practice and conditions illuminate [sic] cultural practices and conditions many of us experience and participate in” (2005).

Here, we will look at three types of field research: participant observation, ethnography, and the case study.

Participant Observation

In participant observation  research, a sociologist joins people and participates in a group’s routine activities for the purpose of observing them within that context. This method lets researchers experience a specific aspect of social life. A researcher might go to great lengths to get a firsthand look into a trend, institution, or behavior. Researchers temporarily put themselves into roles and record their observations. A researcher might work as a waitress in a diner, live as a homeless person for several weeks, or ride along with police officers as they patrol their regular beat.

Although these researchers try to blend in seamlessly with the population they study, they are still obligated to obtain IRB approval. In keeping with scholarly objectives, the purpose of their observation is different from simply “people watching” at one’s workplace, on the bus or train, or in a public space.

Figure 3.  Who is the sociologist in this photo? It’s impossible to tell! In participant observation, researchers immerse themselves in an environment for a time. (Photo courtesy of zoetnet/flickr)

At the beginning of a field study, researchers might have a question: “What really goes on in the kitchen of the most popular diner on campus?” or “What is it like to experience homelessness?” Participant observation is a useful method if the researcher wants to explore a certain environment from the inside.

Field researchers simply want to observe and learn. In such a setting, the researcher will be alert and open minded to whatever happens, recording all observations accurately. Soon, as patterns emerge, questions will become more specific, observations will lead to hypotheses, and hypotheses will guide the researcher in shaping data into results.

Some sociologists prefer not to alert people to their presence. The main advantage of covert participant observation is that it allows the researcher access to authentic, natural behaviors of a group’s members. The challenge, however, is gaining access to a setting without disrupting the pattern of others’ behavior. Becoming an inside member of a group, organization, or subculture takes time and effort. Researchers must pretend to be something they are not. The process could involve role playing, making contacts, networking, or applying for a job. Whenever deception is involved in sociological research, it will be intensely scrutinized and may or may not be approved by an institutional IRB.

Once inside a group, participation observation research can last months or even years. Sociologists have to balance the types of interpersonal relationships that arise from living and/or working with other people with objectivity as a researcher. They must keep their purpose in mind and apply the sociological perspective. That way, they illuminate social patterns that are often unrecognized. Because information gathered during participant observation is mostly qualitative, rather than quantitative, the end results are often descriptive or interpretive. This type of research is well-suited to learning about the kinds of human behavior or social groups that are not known by the scientific community, who are particularly closed or secretive, or when one is attempting to understand societal structures, as we will see in the following example.

Nickel and Dimed (2001, 2011)

Journalist Barbara Ehrenreich conducted participation observation research for her book Nickel and Dimed . One day over lunch with her editor, Ehrenreich mentioned an idea. How can people exist on minimum-wage work? How do low-income workers get by? she wondered aloud. Someone should do a study. To her surprise, her editor responded, Why don’t you do it?

That’s how Ehrenreich found herself joining the ranks of the working class. For several months, she left her comfortable home and lived and worked among people who lacked, for the most part, higher education and marketable job skills. Undercover, she applied for and worked minimum wage jobs as a waitress, a cleaning woman, a nursing home aide, and a retail chain employee. During her participant observation, she used only her income from those jobs to pay for food, clothing, transportation, and shelter.

She discovered the obvious, that it’s almost impossible to get by on minimum wage service work. She also experienced and observed attitudes many middle and upper-class people never think about. She witnessed firsthand the treatment of working class employees. She saw the extreme measures people take to make ends meet and to survive. She described fellow employees who held two or three jobs, worked seven days a week, lived in cars, could not pay to treat chronic health conditions, got randomly fired, submitted to drug tests, and moved in and out of homeless shelters. She brought aspects of that life to light, describing difficult working conditions and the poor treatment that low-wage workers suffer.

Nickel and Dimed: On (Not) Getting By in America , the book she wrote upon her return to her real life as a well-paid writer, has been widely read and used in many college classrooms. The first edition was published in 2001 and a follow-up post-recession edition was published with updated information in 2011.

Figure 4. Field research happens in real locations. What type of environment do work spaces foster? What would a sociologist discover after blending in? (Photo courtesy of drewzhrodague/flickr)

Ethnography

Ethnography is the extended observation of the social perspective and cultural values of an entire social setting. Ethnographies involve objective observation of an entire community. British anthropologist Bronislaw Malinowski, who studied the Trobriand Islanders near Papua New Guinea during World War I, was one of the first anthropologists to engage with the communities they studied and he became known for this methodological contribution, which different from the detached observations that took place from a distance (i.e., “on the verandas” or “armchair anthropology”).

Although anthropologists had been doing ethnographic research longer, sociologists were doing ethnographic research in the 20th century, particularly in what became known as The Chicago School at the University of Chicago. William Foote Whyte’s  Street Corner Society:  The Social Structure of an Italian Slum  (1943) is a seminal work of urban ethnography and a “classic” sociological text.

The heart of an ethnographic study focuses on how subjects view their own social standing and how they understand themselves in relation to a community. An ethnographic study might observe, for example, a small U.S. fishing town, an Inuit community, a village in Thailand, a Buddhist monastery, a private boarding school, or an amusement park. These places all have borders. People live, work, study, or vacation within those borders. People are there for a certain reason and therefore behave in certain ways and respect certain cultural norms. An ethnographer would commit to spending a predetermined amount of time studying every aspect of the chosen place, taking in as much as possible.

A sociologist studying a tribe in the Amazon might watch the way villagers go about their daily lives and then write a paper about it. To observe a spiritual retreat center, an ethnographer might attend as a guest for an extended stay, observe and record data, and collate the material into results.

The Making of Middletown: A Study in Modern U.S. Culture

In 1924, a young married couple named Robert and Helen Lynd undertook an unprecedented ethnography: to apply sociological methods to the study of one U.S. city in order to discover what “ordinary” people in the United States did and believed. Choosing Muncie, Indiana (population about 30,000), as their subject, they moved to the small town and lived there for eighteen months.

Ethnographers had been examining other cultures for decades—groups considered minority or outsider—like gangs, immigrants, and the poor. But no one had studied the so-called average American.

Recording interviews and using surveys to gather data, the Lynds did not sugarcoat or idealize U.S. life (PBS). They objectively stated what they observed. Researching existing sources, they compared Muncie in 1890 to the Muncie they observed in 1924. Most Muncie adults, they found, had grown up on farms but now lived in homes inside the city. From that discovery, the Lynds focused their study on the impact of industrialization and urbanization.

They observed that the workers of Muncie were divided into business class and working class groups. They defined business class as dealing with abstract concepts and symbols, while working class people used tools to create concrete objects. The two classes led different lives with different goals and hopes. However, the Lynds observed, mass production offered both classes the same amenities. Like wealthy families, the working class was now able to own radios, cars, washing machines, telephones, vacuum cleaners, and refrigerators. This was a newly emerging economic and material reality of the 1920s.

Figure 5. A classroom in Muncie, Indiana, in 1917, five years before John and Helen Lynd began researching this “typical” U.S. community. (Photo courtesy of Don O’Brien/flickr)

As the Lynds worked, they divided their manuscript into six sections: Getting a Living, Making a Home, Training the Young, Using Leisure, Engaging in Religious Practices, and Engaging in Community Activities. Each chapter included subsections such as “The Long Arm of the Job” and “Why Do They Work So Hard?” in the “Getting a Living” chapter.

When the study was completed, the Lynds encountered a big problem. The Rockefeller Foundation, which had commissioned the book, claimed it was useless and refused to publish it. The Lynds asked if they could seek a publisher themselves.

As it turned out, Middletown: A Study in Modern American Culture was not only published in 1929, but also became an instant bestseller, a status unheard of for a sociological study. The book sold out six printings in its first year of publication, and has never gone out of print (PBS).

Nothing like it had ever been done before. Middletown was reviewed on the front page of the New York Times . Readers in the 1920s and 1930s identified with the citizens of Muncie, Indiana, but they were equally fascinated by the sociological methods and the use of scientific data to define ordinary people in the United States. The book was proof that social data were important—and interesting—to the U.S. public.

Institutional Ethnography

Institutional ethnography is an extension of basic ethnographic research principles that focuses intentionally on everyday concrete social relationships. Developed by Canadian sociologist Dorothy E. Smith, institutional ethnography is often considered a feminist-inspired approach to social analysis and primarily considers women’s experiences within male-dominated societies and power structures. Smith’s work challenges sociology’s exclusion of women, both academically and in the study of women’s lives (Fenstermaker, n.d.).

Historically, social science research tended to objectify women and ignore their experiences except as viewed from a male perspective. Modern feminists note that describing women, and other marginalized groups, as subordinates helps those in authority maintain their own dominant positions (Social Sciences and Humanities Research Council of Canada, n.d.). Smith’s three major works explored what she called “the conceptual practices of power” (1990; cited in Fensternmaker, n.d.) and are still considered seminal works in feminist theory and ethnography.

Sometimes a researcher wants to study one specific person or event. A case study is an in-depth analysis of a single event, situation, or individual. To conduct a case study, a researcher examines existing sources like documents and archival records, conducts interviews, or engages in direct observation and even participant observation, if possible.

Researchers might use this method to study a single case of, for example, a foster child, drug lord, cancer patient, criminal, or rape victim. However, a major criticism of the case study method is that a developed study of a single case, while offering depth on a topic, does not provide broad enough evidence to form a generalized conclusion. In other words, it is difficult to make universal claims based on just one person, since one person does not verify a pattern. This is why most sociologists do not use case studies as a primary research method.

However, case studies are useful when the single case is unique. In these instances, a single case study can add tremendous knowledge to a certain discipline. For example, a feral child, also called a “wild child,” is one who grows up isolated from other human beings. Feral children grow up without social contact and language, which are elements crucial to a “civilized” child’s development. These children mimic the behaviors and movements of animals, and often invent their own language. There are only about one hundred cases of “feral children” in the world.

As you may imagine, a feral child is a subject of great interest to researchers. Feral children provide unique information about child development because they have grown up outside of the parameters of “normal” child socialization and language acquisition. And since there are very few feral children, the case study is the most appropriate method for researchers to use in studying the subject.

At age three, a Ukranian girl named Oxana Malaya suffered severe parental neglect. She lived in a shed with dogs, and she ate raw meat and scraps. Five years later, a neighbor called authorities and reported seeing a girl who ran on all fours, barking. Officials brought Oxana into society, where she was cared for and taught some human behaviors, but she never became fully socialized. She has been designated as unable to support herself and now lives in a mental institution (Grice, 2011). Case studies like this offer a way for sociologists to collect data that may not be collectable by any other method.

How to Conduct Field Research Study? – A Complete Guide

There is a challenge in undergoing a research which involves a vast understanding of the environment and the study of subjects staying in that environment. Although the outcome of this study will help fill in the gaps evidently seen in the literature but the process involves a lot of planning. How does one plan such a humongous research study?  In this article, we will discuss how to conduct a field research and what are the different methods used to streamline the field study !

Research is much more than performing the experiment and analyzing results. It involves gathering raw data and understanding the subject of research in its environment. These type of researches are more elaborate and are the reason for producing real information on a large scale.

Table of Contents

What is Field Research?

Field research is a process where data is collected through a qualitative method. The objective of field study  is to observe and interpret the subject of study in its natural environment. It is used in the field of study of humans and health care professions. Furthermore, it connects theory and practical research study by qualitatively analyzing the data.

Why to Conduct Field Study?

Field study allows researchers to identify and observe the subjects and helps draw correlations between subjects and surroundings, and how the surroundings may influence the behavior.

It gives an in-depth information on subjects because they are observed and analyzed for a long period of time.

Field study allows researchers to fill the gaps in data which can be understood by conducting in-depth primary research.

How is a Field Research different from a Lab Research?

Different methods of field study research.

There are four main types of methods for conducting a field research .

1. Ethnographic Field Notes

This type of field work is particularly associated with field work that records and analyzes culture, society or community. Most commonly this method of research is used in social anthropology, societies and communities.

2. Qualitative Interviews

Qualitative interviews give researchers detailed information. This vast information is segregated in order to make inferences related to the sample group. This data is gathered by conducting interviews either informally, conversationally or in an open ended interview.

3. Direct Observation

Researchers gather information on their subjects through close visual observation. The researcher can record the observations and events as field notes holistically without a guided protocol. This form of research approach is termed as unstructured observation. However, in a structured observation the researcher uses a guide or set protocols to observe people and events. Furthermore, in direct observation the observer is detached and does not obstruct the research setup. It does not work as an alternative method for conducting field research , and rather works as an initial approach to understand the behavior of the research. This type of method is extensively used in fields of sociology and anthropology wherein the researchers focus on recording social life details in a setting, community, or society.

4. Participant Observation

In this research method, the researcher takes part in the everyday life of the members chosen for observation. This gives the observer a better understanding of the study. Additionally, these observation notes are a primary type of data which the researchers later develop into detailed field notes.

Steps to Conduct a Field Study

1. identify and acquire researchers of the field.

It is essential to acquire researchers who are specialized in the field of research. Moreover, their experience in the field will help them undergo the further steps of conducting the field research .

2. Identify the topic of research

Post acquiring the researcher, they will work on identifying the topic of research. The researchers are responsible for deciding what topic of research to focus on based on the gaps observed in the existing research literature.

3. Identify the right method of research

After fine tuning the research topic, researchers define the right method to approach the aim and objectives of the research.

4. Visit the site of the study and collect data

Based on the objectives, the observations begin. Observers/Researchers go on field and start collecting data either by visual observation, interviews or staying along with the subjects and experiencing their surroundings to get an in-depth understanding.

5. Analyze the data acquired

The researchers undergo the process of data analysis once the data is collected.

6. Communicate the results

The researchers document a detailed field study report , explaining the data and its outcome. Giving the field study a suitable conclusion.

Advantages of Field Study

The major advantage of field study is that the results represent a greater variety of situations and environments. Researchers yield a detailed data analysis which can be used as primary data for many different research hypotheses. Furthermore, field research has the ability to find newer social facts which the setting or community and the participants may be unaware of. Most importantly, there usually is no tampering of data or variable, as data is collected from the natural setting.

Disadvantages of Field Study

Various methods of field study involve researchers conducting research study and immersing themselves on the research field to gather data. This collection of data can be expensive and time consuming. Moreover, the information acquired is usually undertaken through observation of small groups and this may lack understanding and implications to the larger group of study.

Did you ever conduct a field research? How did you find the process? Which type of field research method did you use? Let us know about it in the comment below.

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Field experiments, explained

Editor’s note: This is part of a series called “The Day Tomorrow Began,” which explores the history of breakthroughs at UChicago.  Learn more here.

A field experiment is a research method that uses some controlled elements of traditional lab experiments, but takes place in natural, real-world settings. This type of experiment can help scientists explore questions like: Why do people vote the way they do? Why do schools fail? Why are certain people hired less often or paid less money?

University of Chicago economists were early pioneers in the modern use of field experiments and conducted innovative research that impacts our everyday lives—from policymaking to marketing to farming and agriculture.  

Jump to a section:

What is a field experiment, why do a field experiment, what are examples of field experiments, when did field experiments become popular in modern economics, what are criticisms of field experiments.

Field experiments bridge the highly controlled lab environment and the messy real world. Social scientists have taken inspiration from traditional medical or physical science lab experiments. In a typical drug trial, for instance, participants are randomly assigned into two groups. The control group gets the placebo—a pill that has no effect. The treatment group will receive the new pill. The scientist can then compare the outcomes for each group.

A field experiment works similarly, just in the setting of real life.

It can be difficult to understand why a person chooses to buy one product over another or how effective a policy is when dozens of variables affect the choices we make each day. “That type of thinking, for centuries, caused economists to believe you can't do field experimentation in economics because the market is really messy,” said Prof. John List, a UChicago economist who has used field experiments to study everything from how people use  Uber and  Lyft to  how to close the achievement gap in Chicago-area schools . “There are a lot of things that are simultaneously moving.”

The key to cleaning up the mess is randomization —or assigning participants randomly to either the control group or the treatment group. “The beauty of randomization is that each group has the same amount of bad stuff, or noise or dirt,” List said. “That gets differenced out if you have large enough samples.”

Though lab experiments are still common in the social sciences, field experiments are now often used by psychologists, sociologists and political scientists. They’ve also become an essential tool in the economist’s toolbox.  

Some issues are too big and too complex to study in a lab or on paper—that’s where field experiments come in.

In a laboratory setting, a researcher wants to control as many variables as possible. These experiments are excellent for testing new medications or measuring brain functions, but they aren’t always great for answering complex questions about attitudes or behavior.

Labs are highly artificial with relatively small sample sizes—it’s difficult to know if results will still apply in the real world. Also, people are aware they are being observed in a lab, which can alter their behavior. This phenomenon, sometimes called the Hawthorne effect, can affect results.

Traditional economics often uses theories or existing data to analyze problems. But, when a researcher wants to study if a policy will be effective or not, field experiments are a useful way to look at how results may play out in real life.

In 2019, UChicago economist Michael Kremer (then at Harvard) was awarded the Nobel Prize alongside Abhijit Banerjee and Esther Duflo of MIT for their groundbreaking work using field experiments to help reduce poverty . In the 1990s and 2000s, Kremer conducted several randomized controlled trials in Kenyan schools testing potential interventions to improve student performance. 

In the 1990s, Kremer worked alongside an NGO to figure out if buying students new textbooks made a difference in academic performance. Half the schools got new textbooks; the other half didn’t. The results were unexpected—textbooks had no impact.

“Things we think are common sense, sometimes they turn out to be right, sometimes they turn out to be wrong,” said Kremer on an episode of  the Big Brains podcast. “And things that we thought would have minimal impact or no impact turn out to have a big impact.”

In the early 2000s, Kremer returned to Kenya to study a school-based deworming program. He and a colleague found that providing deworming pills to all students reduced absenteeism by more than 25%. After the study, the program was scaled nationwide by the Kenyan government. From there it was picked up by multiple Indian states—and then by the Indian national government.

“Experiments are a way to get at causal impact, but they’re also much more than that,” Kremer said in  his Nobel Prize lecture . “They give the researcher a richer sense of context, promote broader collaboration and address specific practical problems.”    

Among many other things, field experiments can be used to:

Study bias and discrimination

A 2004 study published by UChicago economists Marianne Bertrand and Sendhil Mullainathan (then at MIT) examined racial discrimination in the labor market. They sent over 5,000 resumes to real job ads in Chicago and Boston. The resumes were exactly the same in all ways but one—the name at the top. Half the resumes bore white-sounding names like Emily Walsh or Greg Baker. The other half sported African American names like Lakisha Washington or Jamal Jones. The study found that applications with white-sounding names were 50% more likely to receive a callback.

Examine voting behavior

Political scientist Harold Gosnell , PhD 1922, pioneered the use of field experiments to examine voting behavior while at UChicago in the 1920s and ‘30s. In his study “Getting out the vote,” Gosnell sorted 6,000 Chicagoans across 12 districts into groups. One group received voter registration info for the 1924 presidential election and the control group did not. Voter registration jumped substantially among those who received the informational notices. Not only did the study prove that get-out-the-vote mailings could have a substantial effect on voter turnout, but also that field experiments were an effective tool in political science.

Test ways to reduce crime and shape public policy

Researchers at UChicago’s  Crime Lab use field experiments to gather data on crime as well as policies and programs meant to reduce it. For example, Crime Lab director and economist Jens Ludwig co-authored a  2015 study on the effectiveness of the school mentoring program  Becoming a Man . Developed by the non-profit Youth Guidance, Becoming a Man focuses on guiding male students between 7th and 12th grade to help boost school engagement and reduce arrests. In two field experiments, the Crime Lab found that while students participated in the program, total arrests were reduced by 28–35%, violent-crime arrests went down by 45–50% and graduation rates increased by 12–19%.

The earliest field experiments took place—literally—in fields. Starting in the 1800s, European farmers began experimenting with fertilizers to see how they affected crop yields. In the 1920s, two statisticians, Jerzy Neyman and Ronald Fisher, were tasked with assisting with these agricultural experiments. They are credited with identifying randomization as a key element of the method—making sure each plot had the same chance of being treated as the next.

The earliest large-scale field experiments in the U.S. took place in the late 1960s to help evaluate various government programs. Typically, these experiments were used to test minor changes to things like electricity pricing or unemployment programs.

Though field experiments were used in some capacity throughout the 20th century, this method didn’t truly gain popularity in economics until the 2000s. Kremer and List were early pioneers and first began experimenting with the method in the 1990s.

In 2004, List co-authored  a seminal paper defining field experiments and arguing for the importance of the method. In 2008,  he and UChicago economist Steven Levitt published another study tracing the history of field experiments and their impact on economics.

In the past few decades, the use of field experiments has exploded. Today, economists often work alongside NGOs or nonprofit organizations to study the efficacy of programs or policies. They also partner with companies to test products and understand how people use services.  

There are several  ethical discussions happening among scholars as field experiments grow in popularity. Chief among them is the issue of informed consent. All studies that involve human test subjects must be approved by an institutional review board (IRB) to ensure that people are protected.

However, participants in field experiments often don’t know they are in an experiment. While an experiment may be given the stamp of approval in the research community, some argue that taking away peoples’ ability to opt out is inherently unethical. Others advocate for stricter review processes as field experiments continue to evolve.

According to List, another major issue in field experiments is the issue of scale . Many experiments only test small groups—say, dozens to hundreds of people. This may mean the results are not applicable to broader situations. For example, if a scientist runs an experiment at one school and finds their method works there, does that mean it will also work for an entire city? Or an entire country?

List believes that in addition to testing option A and option B, researchers need a third option that accounts for the limitations that come with a larger scale. “Option C is what I call critical scale features. I want you to bring in all of the warts, all of the constraints, whether they're regulatory constraints, or constraints by law,” List said. “Option C is like your reality test, or what I call policy-based evidence.”

This problem isn’t unique to field experiments, but List believes tackling the issue of scale is the next major frontier for a new generation of economists.

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• Knowledge Base
• Methodology

Research Methods | Definition, Types, Examples

Research methods are specific procedures for collecting and analysing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

• Qualitative vs quantitative : Will your data take the form of words or numbers?
• Primary vs secondary : Will you collect original data yourself, or will you use data that have already been collected by someone else?
• Descriptive vs experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyse the data .

• For quantitative data, you can use statistical analysis methods to test relationships between variables.
• For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Table of contents

Methods for collecting data, examples of data collection methods, methods for analysing data, examples of data analysis methods, frequently asked questions about methodology.

Data are the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach, where you use both qualitative and quantitative research methods.

Primary vs secondary data

Primary data are any original information that you collect for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary data are information that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data. But if you want to synthesise existing knowledge, analyse historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

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Your data analysis methods will depend on the type of data you collect and how you prepare them for analysis.

Data can often be analysed both quantitatively and qualitatively. For example, survey responses could be analysed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that were collected:

• From open-ended survey and interview questions, literature reviews, case studies, and other sources that use text rather than numbers.
• Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions.

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that were collected either:

• During an experiment.
• Using probability sampling methods .

Because the data are collected and analysed in a statistically valid way, the results of quantitative analysis can be easily standardised and shared among researchers.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
• If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

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2.2 Research Methods

Learning objectives.

By the end of this section, you should be able to:

• Recall the 6 Steps of the Scientific Method
• Differentiate between four kinds of research methods: surveys, field research, experiments, and secondary data analysis.
• Explain the appropriateness of specific research approaches for specific topics.

Sociologists examine the social world, see a problem or interesting pattern, and set out to study it. They use research methods to design a study. Planning the research design is a key step in any sociological study. Sociologists generally choose from widely used methods of social investigation: primary source data collection such as survey, participant observation, ethnography, case study, unobtrusive observations, experiment, and secondary data analysis , or use of existing sources. Every research method comes with plusses and minuses, and the topic of study strongly influences which method or methods are put to use. When you are conducting research think about the best way to gather or obtain knowledge about your topic, think of yourself as an architect. An architect needs a blueprint to build a house, as a sociologist your blueprint is your research design including your data collection method.

When entering a particular social environment, a researcher must be careful. There are times to remain anonymous and times to be overt. There are times to conduct interviews and times to simply observe. Some participants need to be thoroughly informed; others should not know they are being observed. A researcher wouldn’t stroll into a crime-ridden neighborhood at midnight, calling out, “Any gang members around?”

Making sociologists’ presence invisible is not always realistic for other reasons. That option is not available to a researcher studying prison behaviors, early education, or the Ku Klux Klan. Researchers can’t just stroll into prisons, kindergarten classrooms, or Klan meetings and unobtrusively observe behaviors or attract attention. In situations like these, other methods are needed. Researchers choose methods that best suit their study topics, protect research participants or subjects, and that fit with their overall approaches to research.

As a research method, a survey collects data from subjects who respond to a series of questions about behaviors and opinions, often in the form of a questionnaire or an interview. The survey is one of the most widely used scientific research methods. The standard survey format allows individuals a level of anonymity in which they can express personal ideas.

At some point, most people in the United States respond to some type of survey. The 2020 U.S. Census is an excellent example of a large-scale survey intended to gather sociological data. Since 1790, United States has conducted a survey consisting of six questions to received demographical data pertaining to residents. The questions pertain to the demographics of the residents who live in the United States. Currently, the Census is received by residents in the United Stated and five territories and consists of 12 questions.

Not all surveys are considered sociological research, however, and many surveys people commonly encounter focus on identifying marketing needs and strategies rather than testing a hypothesis or contributing to social science knowledge. Questions such as, “How many hot dogs do you eat in a month?” or “Were the staff helpful?” are not usually designed as scientific research. The Nielsen Ratings determine the popularity of television programming through scientific market research. However, polls conducted by television programs such as American Idol or So You Think You Can Dance cannot be generalized, because they are administered to an unrepresentative population, a specific show’s audience. You might receive polls through your cell phones or emails, from grocery stores, restaurants, and retail stores. They often provide you incentives for completing the survey.

Sociologists conduct surveys under controlled conditions for specific purposes. Surveys gather different types of information from people. While surveys are not great at capturing the ways people really behave in social situations, they are a great method for discovering how people feel, think, and act—or at least how they say they feel, think, and act. Surveys can track preferences for presidential candidates or reported individual behaviors (such as sleeping, driving, or texting habits) or information such as employment status, income, and education levels.

A survey targets a specific population , people who are the focus of a study, such as college athletes, international students, or teenagers living with type 1 (juvenile-onset) diabetes. Most researchers choose to survey a small sector of the population, or a sample , a manageable number of subjects who represent a larger population. The success of a study depends on how well a population is represented by the sample. In a random sample , every person in a population has the same chance of being chosen for the study. As a result, a Gallup Poll, if conducted as a nationwide random sampling, should be able to provide an accurate estimate of public opinion whether it contacts 2,000 or 10,000 people.

After selecting subjects, the researcher develops a specific plan to ask questions and record responses. It is important to inform subjects of the nature and purpose of the survey up front. If they agree to participate, researchers thank subjects and offer them a chance to see the results of the study if they are interested. The researcher presents the subjects with an instrument, which is a means of gathering the information.

A common instrument is a questionnaire. Subjects often answer a series of closed-ended questions . The researcher might ask yes-or-no or multiple-choice questions, allowing subjects to choose possible responses to each question. This kind of questionnaire collects quantitative data —data in numerical form that can be counted and statistically analyzed. Just count up the number of “yes” and “no” responses or correct answers, and chart them into percentages.

Questionnaires can also ask more complex questions with more complex answers—beyond “yes,” “no,” or checkbox options. These types of inquiries use open-ended questions that require short essay responses. Participants willing to take the time to write those answers might convey personal religious beliefs, political views, goals, or morals. The answers are subjective and vary from person to person. How do you plan to use your college education?

Some topics that investigate internal thought processes are impossible to observe directly and are difficult to discuss honestly in a public forum. People are more likely to share honest answers if they can respond to questions anonymously. This type of personal explanation is qualitative data —conveyed through words. Qualitative information is harder to organize and tabulate. The researcher will end up with a wide range of responses, some of which may be surprising. The benefit of written opinions, though, is the wealth of in-depth material that they provide.

An interview is a one-on-one conversation between the researcher and the subject, and it is a way of conducting surveys on a topic. However, participants are free to respond as they wish, without being limited by predetermined choices. In the back-and-forth conversation of an interview, a researcher can ask for clarification, spend more time on a subtopic, or ask additional questions. In an interview, a subject will ideally feel free to open up and answer questions that are often complex. There are no right or wrong answers. The subject might not even know how to answer the questions honestly.

Questions such as “How does society’s view of alcohol consumption influence your decision whether or not to take your first sip of alcohol?” or “Did you feel that the divorce of your parents would put a social stigma on your family?” involve so many factors that the answers are difficult to categorize. A researcher needs to avoid steering or prompting the subject to respond in a specific way; otherwise, the results will prove to be unreliable. The researcher will also benefit from gaining a subject’s trust, from empathizing or commiserating with a subject, and from listening without judgment.

Surveys often collect both quantitative and qualitative data. For example, a researcher interviewing people who are incarcerated might receive quantitative data, such as demographics – race, age, sex, that can be analyzed statistically. For example, the researcher might discover that 20 percent of incarcerated people are above the age of 50. The researcher might also collect qualitative data, such as why people take advantage of educational opportunities during their sentence and other explanatory information.

The survey can be carried out online, over the phone, by mail, or face-to-face. When researchers collect data outside a laboratory, library, or workplace setting, they are conducting field research, which is our next topic.

Field Research

The work of sociology rarely happens in limited, confined spaces. Rather, sociologists go out into the world. They meet subjects where they live, work, and play. Field research refers to gathering primary data from a natural environment. To conduct field research, the sociologist must be willing to step into new environments and observe, participate, or experience those worlds. In field work, the sociologists, rather than the subjects, are the ones out of their element.

The researcher interacts with or observes people and gathers data along the way. The key point in field research is that it takes place in the subject’s natural environment, whether it’s a coffee shop or tribal village, a homeless shelter or the DMV, a hospital, airport, mall, or beach resort.

While field research often begins in a specific setting , the study’s purpose is to observe specific behaviors in that setting. Field work is optimal for observing how people think and behave. It seeks to understand why they behave that way. However, researchers may struggle to narrow down cause and effect when there are so many variables floating around in a natural environment. And while field research looks for correlation, its small sample size does not allow for establishing a causal relationship between two variables. Indeed, much of the data gathered in sociology do not identify a cause and effect but a correlation .

Sociology in the Real World

Beyoncé and lady gaga as sociological subjects.

Sociologists have studied Lady Gaga and Beyoncé and their impact on music, movies, social media, fan participation, and social equality. In their studies, researchers have used several research methods including secondary analysis, participant observation, and surveys from concert participants.

In their study, Click, Lee & Holiday (2013) interviewed 45 Lady Gaga fans who utilized social media to communicate with the artist. These fans viewed Lady Gaga as a mirror of themselves and a source of inspiration. Like her, they embrace not being a part of mainstream culture. Many of Lady Gaga’s fans are members of the LGBTQ community. They see the “song “Born This Way” as a rallying cry and answer her calls for “Paws Up” with a physical expression of solidarity—outstretched arms and fingers bent and curled to resemble monster claws.”

Sascha Buchanan (2019) made use of participant observation to study the relationship between two fan groups, that of Beyoncé and that of Rihanna. She observed award shows sponsored by iHeartRadio, MTV EMA, and BET that pit one group against another as they competed for Best Fan Army, Biggest Fans, and FANdemonium. Buchanan argues that the media thus sustains a myth of rivalry between the two most commercially successful Black women vocal artists.

Participant Observation

In 2000, a comic writer named Rodney Rothman wanted an insider’s view of white-collar work. He slipped into the sterile, high-rise offices of a New York “dot com” agency. Every day for two weeks, he pretended to work there. His main purpose was simply to see whether anyone would notice him or challenge his presence. No one did. The receptionist greeted him. The employees smiled and said good morning. Rothman was accepted as part of the team. He even went so far as to claim a desk, inform the receptionist of his whereabouts, and attend a meeting. He published an article about his experience in The New Yorker called “My Fake Job” (2000). Later, he was discredited for allegedly fabricating some details of the story and The New Yorker issued an apology. However, Rothman’s entertaining article still offered fascinating descriptions of the inside workings of a “dot com” company and exemplified the lengths to which a writer, or a sociologist, will go to uncover material.

Rothman had conducted a form of study called participant observation , in which researchers join people and participate in a group’s routine activities for the purpose of observing them within that context. This method lets researchers experience a specific aspect of social life. A researcher might go to great lengths to get a firsthand look into a trend, institution, or behavior. A researcher might work as a waitress in a diner, experience homelessness for several weeks, or ride along with police officers as they patrol their regular beat. Often, these researchers try to blend in seamlessly with the population they study, and they may not disclose their true identity or purpose if they feel it would compromise the results of their research.

At the beginning of a field study, researchers might have a question: “What really goes on in the kitchen of the most popular diner on campus?” or “What is it like to be homeless?” Participant observation is a useful method if the researcher wants to explore a certain environment from the inside.

Field researchers simply want to observe and learn. In such a setting, the researcher will be alert and open minded to whatever happens, recording all observations accurately. Soon, as patterns emerge, questions will become more specific, observations will lead to hypotheses, and hypotheses will guide the researcher in analyzing data and generating results.

In a study of small towns in the United States conducted by sociological researchers John S. Lynd and Helen Merrell Lynd, the team altered their purpose as they gathered data. They initially planned to focus their study on the role of religion in U.S. towns. As they gathered observations, they realized that the effect of industrialization and urbanization was the more relevant topic of this social group. The Lynds did not change their methods, but they revised the purpose of their study.

This shaped the structure of Middletown: A Study in Modern American Culture , their published results (Lynd & Lynd, 1929).

The Lynds were upfront about their mission. The townspeople of Muncie, Indiana, knew why the researchers were in their midst. But some sociologists prefer not to alert people to their presence. The main advantage of covert participant observation is that it allows the researcher access to authentic, natural behaviors of a group’s members. The challenge, however, is gaining access to a setting without disrupting the pattern of others’ behavior. Becoming an inside member of a group, organization, or subculture takes time and effort. Researchers must pretend to be something they are not. The process could involve role playing, making contacts, networking, or applying for a job.

Once inside a group, some researchers spend months or even years pretending to be one of the people they are observing. However, as observers, they cannot get too involved. They must keep their purpose in mind and apply the sociological perspective. That way, they illuminate social patterns that are often unrecognized. Because information gathered during participant observation is mostly qualitative, rather than quantitative, the end results are often descriptive or interpretive. The researcher might present findings in an article or book and describe what he or she witnessed and experienced.

This type of research is what journalist Barbara Ehrenreich conducted for her book Nickel and Dimed . One day over lunch with her editor, Ehrenreich mentioned an idea. How can people exist on minimum-wage work? How do low-income workers get by? she wondered. Someone should do a study . To her surprise, her editor responded, Why don’t you do it?

That’s how Ehrenreich found herself joining the ranks of the working class. For several months, she left her comfortable home and lived and worked among people who lacked, for the most part, higher education and marketable job skills. Undercover, she applied for and worked minimum wage jobs as a waitress, a cleaning woman, a nursing home aide, and a retail chain employee. During her participant observation, she used only her income from those jobs to pay for food, clothing, transportation, and shelter.

She discovered the obvious, that it’s almost impossible to get by on minimum wage work. She also experienced and observed attitudes many middle and upper-class people never think about. She witnessed firsthand the treatment of working class employees. She saw the extreme measures people take to make ends meet and to survive. She described fellow employees who held two or three jobs, worked seven days a week, lived in cars, could not pay to treat chronic health conditions, got randomly fired, submitted to drug tests, and moved in and out of homeless shelters. She brought aspects of that life to light, describing difficult working conditions and the poor treatment that low-wage workers suffer.

The book she wrote upon her return to her real life as a well-paid writer, has been widely read and used in many college classrooms.

Ethnography

Ethnography is the immersion of the researcher in the natural setting of an entire social community to observe and experience their everyday life and culture. The heart of an ethnographic study focuses on how subjects view their own social standing and how they understand themselves in relation to a social group.

An ethnographic study might observe, for example, a small U.S. fishing town, an Inuit community, a village in Thailand, a Buddhist monastery, a private boarding school, or an amusement park. These places all have borders. People live, work, study, or vacation within those borders. People are there for a certain reason and therefore behave in certain ways and respect certain cultural norms. An ethnographer would commit to spending a determined amount of time studying every aspect of the chosen place, taking in as much as possible.

A sociologist studying a tribe in the Amazon might watch the way villagers go about their daily lives and then write a paper about it. To observe a spiritual retreat center, an ethnographer might sign up for a retreat and attend as a guest for an extended stay, observe and record data, and collate the material into results.

Institutional Ethnography

Institutional ethnography is an extension of basic ethnographic research principles that focuses intentionally on everyday concrete social relationships. Developed by Canadian sociologist Dorothy E. Smith (1990), institutional ethnography is often considered a feminist-inspired approach to social analysis and primarily considers women’s experiences within male- dominated societies and power structures. Smith’s work is seen to challenge sociology’s exclusion of women, both academically and in the study of women’s lives (Fenstermaker, n.d.).

Historically, social science research tended to objectify women and ignore their experiences except as viewed from the male perspective. Modern feminists note that describing women, and other marginalized groups, as subordinates helps those in authority maintain their own dominant positions (Social Sciences and Humanities Research Council of Canada n.d.). Smith’s three major works explored what she called “the conceptual practices of power” and are still considered seminal works in feminist theory and ethnography (Fensternmaker n.d.).

Sociological Research

The making of middletown: a study in modern u.s. culture.

In 1924, a young married couple named Robert and Helen Lynd undertook an unprecedented ethnography: to apply sociological methods to the study of one U.S. city in order to discover what “ordinary” people in the United States did and believed. Choosing Muncie, Indiana (population about 30,000) as their subject, they moved to the small town and lived there for eighteen months.

Ethnographers had been examining other cultures for decades—groups considered minorities or outsiders—like gangs, immigrants, and the poor. But no one had studied the so-called average American.

Recording interviews and using surveys to gather data, the Lynds objectively described what they observed. Researching existing sources, they compared Muncie in 1890 to the Muncie they observed in 1924. Most Muncie adults, they found, had grown up on farms but now lived in homes inside the city. As a result, the Lynds focused their study on the impact of industrialization and urbanization.

They observed that Muncie was divided into business and working class groups. They defined business class as dealing with abstract concepts and symbols, while working class people used tools to create concrete objects. The two classes led different lives with different goals and hopes. However, the Lynds observed, mass production offered both classes the same amenities. Like wealthy families, the working class was now able to own radios, cars, washing machines, telephones, vacuum cleaners, and refrigerators. This was an emerging material reality of the 1920s.

As the Lynds worked, they divided their manuscript into six chapters: Getting a Living, Making a Home, Training the Young, Using Leisure, Engaging in Religious Practices, and Engaging in Community Activities.

When the study was completed, the Lynds encountered a big problem. The Rockefeller Foundation, which had commissioned the book, claimed it was useless and refused to publish it. The Lynds asked if they could seek a publisher themselves.

Middletown: A Study in Modern American Culture was not only published in 1929 but also became an instant bestseller, a status unheard of for a sociological study. The book sold out six printings in its first year of publication, and has never gone out of print (Caplow, Hicks, & Wattenberg. 2000).

Nothing like it had ever been done before. Middletown was reviewed on the front page of the New York Times. Readers in the 1920s and 1930s identified with the citizens of Muncie, Indiana, but they were equally fascinated by the sociological methods and the use of scientific data to define ordinary people in the United States. The book was proof that social data was important—and interesting—to the U.S. public.

Sometimes a researcher wants to study one specific person or event. A case study is an in-depth analysis of a single event, situation, or individual. To conduct a case study, a researcher examines existing sources like documents and archival records, conducts interviews, engages in direct observation and even participant observation, if possible.

Researchers might use this method to study a single case of a foster child, drug lord, cancer patient, criminal, or rape victim. However, a major criticism of the case study as a method is that while offering depth on a topic, it does not provide enough evidence to form a generalized conclusion. In other words, it is difficult to make universal claims based on just one person, since one person does not verify a pattern. This is why most sociologists do not use case studies as a primary research method.

However, case studies are useful when the single case is unique. In these instances, a single case study can contribute tremendous insight. For example, a feral child, also called “wild child,” is one who grows up isolated from human beings. Feral children grow up without social contact and language, which are elements crucial to a “civilized” child’s development. These children mimic the behaviors and movements of animals, and often invent their own language. There are only about one hundred cases of “feral children” in the world.

As you may imagine, a feral child is a subject of great interest to researchers. Feral children provide unique information about child development because they have grown up outside of the parameters of “normal” growth and nurturing. And since there are very few feral children, the case study is the most appropriate method for researchers to use in studying the subject.

At age three, a Ukranian girl named Oxana Malaya suffered severe parental neglect. She lived in a shed with dogs, and she ate raw meat and scraps. Five years later, a neighbor called authorities and reported seeing a girl who ran on all fours, barking. Officials brought Oxana into society, where she was cared for and taught some human behaviors, but she never became fully socialized. She has been designated as unable to support herself and now lives in a mental institution (Grice 2011). Case studies like this offer a way for sociologists to collect data that may not be obtained by any other method.

Experiments

You have probably tested some of your own personal social theories. “If I study at night and review in the morning, I’ll improve my retention skills.” Or, “If I stop drinking soda, I’ll feel better.” Cause and effect. If this, then that. When you test the theory, your results either prove or disprove your hypothesis.

One way researchers test social theories is by conducting an experiment , meaning they investigate relationships to test a hypothesis—a scientific approach.

There are two main types of experiments: lab-based experiments and natural or field experiments. In a lab setting, the research can be controlled so that more data can be recorded in a limited amount of time. In a natural or field- based experiment, the time it takes to gather the data cannot be controlled but the information might be considered more accurate since it was collected without interference or intervention by the researcher.

As a research method, either type of sociological experiment is useful for testing if-then statements: if a particular thing happens (cause), then another particular thing will result (effect). To set up a lab-based experiment, sociologists create artificial situations that allow them to manipulate variables.

Classically, the sociologist selects a set of people with similar characteristics, such as age, class, race, or education. Those people are divided into two groups. One is the experimental group and the other is the control group. The experimental group is exposed to the independent variable(s) and the control group is not. To test the benefits of tutoring, for example, the sociologist might provide tutoring to the experimental group of students but not to the control group. Then both groups would be tested for differences in performance to see if tutoring had an effect on the experimental group of students. As you can imagine, in a case like this, the researcher would not want to jeopardize the accomplishments of either group of students, so the setting would be somewhat artificial. The test would not be for a grade reflected on their permanent record of a student, for example.

And if a researcher told the students they would be observed as part of a study on measuring the effectiveness of tutoring, the students might not behave naturally. This is called the Hawthorne effect —which occurs when people change their behavior because they know they are being watched as part of a study. The Hawthorne effect is unavoidable in some research studies because sociologists have to make the purpose of the study known. Subjects must be aware that they are being observed, and a certain amount of artificiality may result (Sonnenfeld 1985).

A real-life example will help illustrate the process. In 1971, Frances Heussenstamm, a sociology professor at California State University at Los Angeles, had a theory about police prejudice. To test her theory, she conducted research. She chose fifteen students from three ethnic backgrounds: Black, White, and Hispanic. She chose students who routinely drove to and from campus along Los Angeles freeway routes, and who had had perfect driving records for longer than a year.

Next, she placed a Black Panther bumper sticker on each car. That sticker, a representation of a social value, was the independent variable. In the 1970s, the Black Panthers were a revolutionary group actively fighting racism. Heussenstamm asked the students to follow their normal driving patterns. She wanted to see whether seeming support for the Black Panthers would change how these good drivers were treated by the police patrolling the highways. The dependent variable would be the number of traffic stops/citations.

The first arrest, for an incorrect lane change, was made two hours after the experiment began. One participant was pulled over three times in three days. He quit the study. After seventeen days, the fifteen drivers had collected a total of thirty-three traffic citations. The research was halted. The funding to pay traffic fines had run out, and so had the enthusiasm of the participants (Heussenstamm, 1971).

Secondary Data Analysis

While sociologists often engage in original research studies, they also contribute knowledge to the discipline through secondary data analysis . Secondary data does not result from firsthand research collected from primary sources, but are the already completed work of other researchers or data collected by an agency or organization. Sociologists might study works written by historians, economists, teachers, or early sociologists. They might search through periodicals, newspapers, or magazines, or organizational data from any period in history.

Using available information not only saves time and money but can also add depth to a study. Sociologists often interpret findings in a new way, a way that was not part of an author’s original purpose or intention. To study how women were encouraged to act and behave in the 1960s, for example, a researcher might watch movies, televisions shows, and situation comedies from that period. Or to research changes in behavior and attitudes due to the emergence of television in the late 1950s and early 1960s, a sociologist would rely on new interpretations of secondary data. Decades from now, researchers will most likely conduct similar studies on the advent of mobile phones, the Internet, or social media.

Social scientists also learn by analyzing the research of a variety of agencies. Governmental departments and global groups, like the U.S. Bureau of Labor Statistics or the World Health Organization (WHO), publish studies with findings that are useful to sociologists. A public statistic like the foreclosure rate might be useful for studying the effects of a recession. A racial demographic profile might be compared with data on education funding to examine the resources accessible by different groups.

One of the advantages of secondary data like old movies or WHO statistics is that it is nonreactive research (or unobtrusive research), meaning that it does not involve direct contact with subjects and will not alter or influence people’s behaviors. Unlike studies requiring direct contact with people, using previously published data does not require entering a population and the investment and risks inherent in that research process.

Using available data does have its challenges. Public records are not always easy to access. A researcher will need to do some legwork to track them down and gain access to records. To guide the search through a vast library of materials and avoid wasting time reading unrelated sources, sociologists employ content analysis , applying a systematic approach to record and value information gleaned from secondary data as they relate to the study at hand.

Also, in some cases, there is no way to verify the accuracy of existing data. It is easy to count how many drunk drivers, for example, are pulled over by the police. But how many are not? While it’s possible to discover the percentage of teenage students who drop out of high school, it might be more challenging to determine the number who return to school or get their GED later.

Another problem arises when data are unavailable in the exact form needed or do not survey the topic from the precise angle the researcher seeks. For example, the average salaries paid to professors at a public school is public record. But these figures do not necessarily reveal how long it took each professor to reach the salary range, what their educational backgrounds are, or how long they’ve been teaching.

When conducting content analysis, it is important to consider the date of publication of an existing source and to take into account attitudes and common cultural ideals that may have influenced the research. For example, when Robert S. Lynd and Helen Merrell Lynd gathered research in the 1920s, attitudes and cultural norms were vastly different then than they are now. Beliefs about gender roles, race, education, and work have changed significantly since then. At the time, the study’s purpose was to reveal insights about small U.S. communities. Today, it is an illustration of 1920s attitudes and values.

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A tutorial on methodological studies: the what, when, how and why

Lawrence mbuagbaw.

1 Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON Canada

2 Biostatistics Unit/FSORC, 50 Charlton Avenue East, St Joseph’s Healthcare—Hamilton, 3rd Floor Martha Wing, Room H321, Hamilton, Ontario L8N 4A6 Canada

3 Centre for the Development of Best Practices in Health, Yaoundé, Cameroon

Daeria O. Lawson

Livia puljak.

4 Center for Evidence-Based Medicine and Health Care, Catholic University of Croatia, Ilica 242, 10000 Zagreb, Croatia

David B. Allison

5 Department of Epidemiology and Biostatistics, School of Public Health – Bloomington, Indiana University, Bloomington, IN 47405 USA

Lehana Thabane

6 Departments of Paediatrics and Anaesthesia, McMaster University, Hamilton, ON Canada

7 Centre for Evaluation of Medicine, St. Joseph’s Healthcare-Hamilton, Hamilton, ON Canada

8 Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON Canada

Associated Data

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Methodological studies – studies that evaluate the design, analysis or reporting of other research-related reports – play an important role in health research. They help to highlight issues in the conduct of research with the aim of improving health research methodology, and ultimately reducing research waste.

We provide an overview of some of the key aspects of methodological studies such as what they are, and when, how and why they are done. We adopt a “frequently asked questions” format to facilitate reading this paper and provide multiple examples to help guide researchers interested in conducting methodological studies. Some of the topics addressed include: is it necessary to publish a study protocol? How to select relevant research reports and databases for a methodological study? What approaches to data extraction and statistical analysis should be considered when conducting a methodological study? What are potential threats to validity and is there a way to appraise the quality of methodological studies?

Appropriate reflection and application of basic principles of epidemiology and biostatistics are required in the design and analysis of methodological studies. This paper provides an introduction for further discussion about the conduct of methodological studies.

The field of meta-research (or research-on-research) has proliferated in recent years in response to issues with research quality and conduct [ 1 – 3 ]. As the name suggests, this field targets issues with research design, conduct, analysis and reporting. Various types of research reports are often examined as the unit of analysis in these studies (e.g. abstracts, full manuscripts, trial registry entries). Like many other novel fields of research, meta-research has seen a proliferation of use before the development of reporting guidance. For example, this was the case with randomized trials for which risk of bias tools and reporting guidelines were only developed much later – after many trials had been published and noted to have limitations [ 4 , 5 ]; and for systematic reviews as well [ 6 – 8 ]. However, in the absence of formal guidance, studies that report on research differ substantially in how they are named, conducted and reported [ 9 , 10 ]. This creates challenges in identifying, summarizing and comparing them. In this tutorial paper, we will use the term methodological study to refer to any study that reports on the design, conduct, analysis or reporting of primary or secondary research-related reports (such as trial registry entries and conference abstracts).

In the past 10 years, there has been an increase in the use of terms related to methodological studies (based on records retrieved with a keyword search [in the title and abstract] for “methodological review” and “meta-epidemiological study” in PubMed up to December 2019), suggesting that these studies may be appearing more frequently in the literature. See Fig.  1 .

Trends in the number studies that mention “methodological review” or “meta-

epidemiological study” in PubMed.

The methods used in many methodological studies have been borrowed from systematic and scoping reviews. This practice has influenced the direction of the field, with many methodological studies including searches of electronic databases, screening of records, duplicate data extraction and assessments of risk of bias in the included studies. However, the research questions posed in methodological studies do not always require the approaches listed above, and guidance is needed on when and how to apply these methods to a methodological study. Even though methodological studies can be conducted on qualitative or mixed methods research, this paper focuses on and draws examples exclusively from quantitative research.

The objectives of this paper are to provide some insights on how to conduct methodological studies so that there is greater consistency between the research questions posed, and the design, analysis and reporting of findings. We provide multiple examples to illustrate concepts and a proposed framework for categorizing methodological studies in quantitative research.

What is a methodological study?

Any study that describes or analyzes methods (design, conduct, analysis or reporting) in published (or unpublished) literature is a methodological study. Consequently, the scope of methodological studies is quite extensive and includes, but is not limited to, topics as diverse as: research question formulation [ 11 ]; adherence to reporting guidelines [ 12 – 14 ] and consistency in reporting [ 15 ]; approaches to study analysis [ 16 ]; investigating the credibility of analyses [ 17 ]; and studies that synthesize these methodological studies [ 18 ]. While the nomenclature of methodological studies is not uniform, the intents and purposes of these studies remain fairly consistent – to describe or analyze methods in primary or secondary studies. As such, methodological studies may also be classified as a subtype of observational studies.

Parallel to this are experimental studies that compare different methods. Even though they play an important role in informing optimal research methods, experimental methodological studies are beyond the scope of this paper. Examples of such studies include the randomized trials by Buscemi et al., comparing single data extraction to double data extraction [ 19 ], and Carrasco-Labra et al., comparing approaches to presenting findings in Grading of Recommendations, Assessment, Development and Evaluations (GRADE) summary of findings tables [ 20 ]. In these studies, the unit of analysis is the person or groups of individuals applying the methods. We also direct readers to the Studies Within a Trial (SWAT) and Studies Within a Review (SWAR) programme operated through the Hub for Trials Methodology Research, for further reading as a potential useful resource for these types of experimental studies [ 21 ]. Lastly, this paper is not meant to inform the conduct of research using computational simulation and mathematical modeling for which some guidance already exists [ 22 ], or studies on the development of methods using consensus-based approaches.

When should we conduct a methodological study?

Methodological studies occupy a unique niche in health research that allows them to inform methodological advances. Methodological studies should also be conducted as pre-cursors to reporting guideline development, as they provide an opportunity to understand current practices, and help to identify the need for guidance and gaps in methodological or reporting quality. For example, the development of the popular Preferred Reporting Items of Systematic reviews and Meta-Analyses (PRISMA) guidelines were preceded by methodological studies identifying poor reporting practices [ 23 , 24 ]. In these instances, after the reporting guidelines are published, methodological studies can also be used to monitor uptake of the guidelines.

These studies can also be conducted to inform the state of the art for design, analysis and reporting practices across different types of health research fields, with the aim of improving research practices, and preventing or reducing research waste. For example, Samaan et al. conducted a scoping review of adherence to different reporting guidelines in health care literature [ 18 ]. Methodological studies can also be used to determine the factors associated with reporting practices. For example, Abbade et al. investigated journal characteristics associated with the use of the Participants, Intervention, Comparison, Outcome, Timeframe (PICOT) format in framing research questions in trials of venous ulcer disease [ 11 ].

How often are methodological studies conducted?

There is no clear answer to this question. Based on a search of PubMed, the use of related terms (“methodological review” and “meta-epidemiological study”) – and therefore, the number of methodological studies – is on the rise. However, many other terms are used to describe methodological studies. There are also many studies that explore design, conduct, analysis or reporting of research reports, but that do not use any specific terms to describe or label their study design in terms of “methodology”. This diversity in nomenclature makes a census of methodological studies elusive. Appropriate terminology and key words for methodological studies are needed to facilitate improved accessibility for end-users.

Why do we conduct methodological studies?

Methodological studies provide information on the design, conduct, analysis or reporting of primary and secondary research and can be used to appraise quality, quantity, completeness, accuracy and consistency of health research. These issues can be explored in specific fields, journals, databases, geographical regions and time periods. For example, Areia et al. explored the quality of reporting of endoscopic diagnostic studies in gastroenterology [ 25 ]; Knol et al. investigated the reporting of p -values in baseline tables in randomized trial published in high impact journals [ 26 ]; Chen et al. describe adherence to the Consolidated Standards of Reporting Trials (CONSORT) statement in Chinese Journals [ 27 ]; and Hopewell et al. describe the effect of editors’ implementation of CONSORT guidelines on reporting of abstracts over time [ 28 ]. Methodological studies provide useful information to researchers, clinicians, editors, publishers and users of health literature. As a result, these studies have been at the cornerstone of important methodological developments in the past two decades and have informed the development of many health research guidelines including the highly cited CONSORT statement [ 5 ].

Where can we find methodological studies?

Methodological studies can be found in most common biomedical bibliographic databases (e.g. Embase, MEDLINE, PubMed, Web of Science). However, the biggest caveat is that methodological studies are hard to identify in the literature due to the wide variety of names used and the lack of comprehensive databases dedicated to them. A handful can be found in the Cochrane Library as “Cochrane Methodology Reviews”, but these studies only cover methodological issues related to systematic reviews. Previous attempts to catalogue all empirical studies of methods used in reviews were abandoned 10 years ago [ 29 ]. In other databases, a variety of search terms may be applied with different levels of sensitivity and specificity.

Some frequently asked questions about methodological studies

In this section, we have outlined responses to questions that might help inform the conduct of methodological studies.

Q: How should I select research reports for my methodological study?

A: Selection of research reports for a methodological study depends on the research question and eligibility criteria. Once a clear research question is set and the nature of literature one desires to review is known, one can then begin the selection process. Selection may begin with a broad search, especially if the eligibility criteria are not apparent. For example, a methodological study of Cochrane Reviews of HIV would not require a complex search as all eligible studies can easily be retrieved from the Cochrane Library after checking a few boxes [ 30 ]. On the other hand, a methodological study of subgroup analyses in trials of gastrointestinal oncology would require a search to find such trials, and further screening to identify trials that conducted a subgroup analysis [ 31 ].

The strategies used for identifying participants in observational studies can apply here. One may use a systematic search to identify all eligible studies. If the number of eligible studies is unmanageable, a random sample of articles can be expected to provide comparable results if it is sufficiently large [ 32 ]. For example, Wilson et al. used a random sample of trials from the Cochrane Stroke Group’s Trial Register to investigate completeness of reporting [ 33 ]. It is possible that a simple random sample would lead to underrepresentation of units (i.e. research reports) that are smaller in number. This is relevant if the investigators wish to compare multiple groups but have too few units in one group. In this case a stratified sample would help to create equal groups. For example, in a methodological study comparing Cochrane and non-Cochrane reviews, Kahale et al. drew random samples from both groups [ 34 ]. Alternatively, systematic or purposeful sampling strategies can be used and we encourage researchers to justify their selected approaches based on the study objective.

Q: How many databases should I search?

A: The number of databases one should search would depend on the approach to sampling, which can include targeting the entire “population” of interest or a sample of that population. If you are interested in including the entire target population for your research question, or drawing a random or systematic sample from it, then a comprehensive and exhaustive search for relevant articles is required. In this case, we recommend using systematic approaches for searching electronic databases (i.e. at least 2 databases with a replicable and time stamped search strategy). The results of your search will constitute a sampling frame from which eligible studies can be drawn.

Alternatively, if your approach to sampling is purposeful, then we recommend targeting the database(s) or data sources (e.g. journals, registries) that include the information you need. For example, if you are conducting a methodological study of high impact journals in plastic surgery and they are all indexed in PubMed, you likely do not need to search any other databases. You may also have a comprehensive list of all journals of interest and can approach your search using the journal names in your database search (or by accessing the journal archives directly from the journal’s website). Even though one could also search journals’ web pages directly, using a database such as PubMed has multiple advantages, such as the use of filters, so the search can be narrowed down to a certain period, or study types of interest. Furthermore, individual journals’ web sites may have different search functionalities, which do not necessarily yield a consistent output.

Q: Should I publish a protocol for my methodological study?

A: A protocol is a description of intended research methods. Currently, only protocols for clinical trials require registration [ 35 ]. Protocols for systematic reviews are encouraged but no formal recommendation exists. The scientific community welcomes the publication of protocols because they help protect against selective outcome reporting, the use of post hoc methodologies to embellish results, and to help avoid duplication of efforts [ 36 ]. While the latter two risks exist in methodological research, the negative consequences may be substantially less than for clinical outcomes. In a sample of 31 methodological studies, 7 (22.6%) referenced a published protocol [ 9 ]. In the Cochrane Library, there are 15 protocols for methodological reviews (21 July 2020). This suggests that publishing protocols for methodological studies is not uncommon.

Authors can consider publishing their study protocol in a scholarly journal as a manuscript. Advantages of such publication include obtaining peer-review feedback about the planned study, and easy retrieval by searching databases such as PubMed. The disadvantages in trying to publish protocols includes delays associated with manuscript handling and peer review, as well as costs, as few journals publish study protocols, and those journals mostly charge article-processing fees [ 37 ]. Authors who would like to make their protocol publicly available without publishing it in scholarly journals, could deposit their study protocols in publicly available repositories, such as the Open Science Framework ( https://osf.io/ ).

Q: How to appraise the quality of a methodological study?

A: To date, there is no published tool for appraising the risk of bias in a methodological study, but in principle, a methodological study could be considered as a type of observational study. Therefore, during conduct or appraisal, care should be taken to avoid the biases common in observational studies [ 38 ]. These biases include selection bias, comparability of groups, and ascertainment of exposure or outcome. In other words, to generate a representative sample, a comprehensive reproducible search may be necessary to build a sampling frame. Additionally, random sampling may be necessary to ensure that all the included research reports have the same probability of being selected, and the screening and selection processes should be transparent and reproducible. To ensure that the groups compared are similar in all characteristics, matching, random sampling or stratified sampling can be used. Statistical adjustments for between-group differences can also be applied at the analysis stage. Finally, duplicate data extraction can reduce errors in assessment of exposures or outcomes.

Q: Should I justify a sample size?

A: In all instances where one is not using the target population (i.e. the group to which inferences from the research report are directed) [ 39 ], a sample size justification is good practice. The sample size justification may take the form of a description of what is expected to be achieved with the number of articles selected, or a formal sample size estimation that outlines the number of articles required to answer the research question with a certain precision and power. Sample size justifications in methodological studies are reasonable in the following instances:

• Comparing two groups
• Determining a proportion, mean or another quantifier
• Determining factors associated with an outcome using regression-based analyses

For example, El Dib et al. computed a sample size requirement for a methodological study of diagnostic strategies in randomized trials, based on a confidence interval approach [ 40 ].

Q: What should I call my study?

A: Other terms which have been used to describe/label methodological studies include “ methodological review ”, “methodological survey” , “meta-epidemiological study” , “systematic review” , “systematic survey”, “meta-research”, “research-on-research” and many others. We recommend that the study nomenclature be clear, unambiguous, informative and allow for appropriate indexing. Methodological study nomenclature that should be avoided includes “ systematic review” – as this will likely be confused with a systematic review of a clinical question. “ Systematic survey” may also lead to confusion about whether the survey was systematic (i.e. using a preplanned methodology) or a survey using “ systematic” sampling (i.e. a sampling approach using specific intervals to determine who is selected) [ 32 ]. Any of the above meanings of the words “ systematic” may be true for methodological studies and could be potentially misleading. “ Meta-epidemiological study” is ideal for indexing, but not very informative as it describes an entire field. The term “ review ” may point towards an appraisal or “review” of the design, conduct, analysis or reporting (or methodological components) of the targeted research reports, yet it has also been used to describe narrative reviews [ 41 , 42 ]. The term “ survey ” is also in line with the approaches used in many methodological studies [ 9 ], and would be indicative of the sampling procedures of this study design. However, in the absence of guidelines on nomenclature, the term “ methodological study ” is broad enough to capture most of the scenarios of such studies.

Q: Should I account for clustering in my methodological study?

A: Data from methodological studies are often clustered. For example, articles coming from a specific source may have different reporting standards (e.g. the Cochrane Library). Articles within the same journal may be similar due to editorial practices and policies, reporting requirements and endorsement of guidelines. There is emerging evidence that these are real concerns that should be accounted for in analyses [ 43 ]. Some cluster variables are described in the section: “ What variables are relevant to methodological studies?”

A variety of modelling approaches can be used to account for correlated data, including the use of marginal, fixed or mixed effects regression models with appropriate computation of standard errors [ 44 ]. For example, Kosa et al. used generalized estimation equations to account for correlation of articles within journals [ 15 ]. Not accounting for clustering could lead to incorrect p -values, unduly narrow confidence intervals, and biased estimates [ 45 ].

Q: Should I extract data in duplicate?

A: Yes. Duplicate data extraction takes more time but results in less errors [ 19 ]. Data extraction errors in turn affect the effect estimate [ 46 ], and therefore should be mitigated. Duplicate data extraction should be considered in the absence of other approaches to minimize extraction errors. However, much like systematic reviews, this area will likely see rapid new advances with machine learning and natural language processing technologies to support researchers with screening and data extraction [ 47 , 48 ]. However, experience plays an important role in the quality of extracted data and inexperienced extractors should be paired with experienced extractors [ 46 , 49 ].

Q: Should I assess the risk of bias of research reports included in my methodological study?

A : Risk of bias is most useful in determining the certainty that can be placed in the effect measure from a study. In methodological studies, risk of bias may not serve the purpose of determining the trustworthiness of results, as effect measures are often not the primary goal of methodological studies. Determining risk of bias in methodological studies is likely a practice borrowed from systematic review methodology, but whose intrinsic value is not obvious in methodological studies. When it is part of the research question, investigators often focus on one aspect of risk of bias. For example, Speich investigated how blinding was reported in surgical trials [ 50 ], and Abraha et al., investigated the application of intention-to-treat analyses in systematic reviews and trials [ 51 ].

Q: What variables are relevant to methodological studies?

A: There is empirical evidence that certain variables may inform the findings in a methodological study. We outline some of these and provide a brief overview below:

• Country: Countries and regions differ in their research cultures, and the resources available to conduct research. Therefore, it is reasonable to believe that there may be differences in methodological features across countries. Methodological studies have reported loco-regional differences in reporting quality [ 52 , 53 ]. This may also be related to challenges non-English speakers face in publishing papers in English.
• Authors’ expertise: The inclusion of authors with expertise in research methodology, biostatistics, and scientific writing is likely to influence the end-product. Oltean et al. found that among randomized trials in orthopaedic surgery, the use of analyses that accounted for clustering was more likely when specialists (e.g. statistician, epidemiologist or clinical trials methodologist) were included on the study team [ 54 ]. Fleming et al. found that including methodologists in the review team was associated with appropriate use of reporting guidelines [ 55 ].
• Source of funding and conflicts of interest: Some studies have found that funded studies report better [ 56 , 57 ], while others do not [ 53 , 58 ]. The presence of funding would indicate the availability of resources deployed to ensure optimal design, conduct, analysis and reporting. However, the source of funding may introduce conflicts of interest and warrant assessment. For example, Kaiser et al. investigated the effect of industry funding on obesity or nutrition randomized trials and found that reporting quality was similar [ 59 ]. Thomas et al. looked at reporting quality of long-term weight loss trials and found that industry funded studies were better [ 60 ]. Kan et al. examined the association between industry funding and “positive trials” (trials reporting a significant intervention effect) and found that industry funding was highly predictive of a positive trial [ 61 ]. This finding is similar to that of a recent Cochrane Methodology Review by Hansen et al. [ 62 ]
• Journal characteristics: Certain journals’ characteristics may influence the study design, analysis or reporting. Characteristics such as journal endorsement of guidelines [ 63 , 64 ], and Journal Impact Factor (JIF) have been shown to be associated with reporting [ 63 , 65 – 67 ].
• Study size (sample size/number of sites): Some studies have shown that reporting is better in larger studies [ 53 , 56 , 58 ].
• Year of publication: It is reasonable to assume that design, conduct, analysis and reporting of research will change over time. Many studies have demonstrated improvements in reporting over time or after the publication of reporting guidelines [ 68 , 69 ].
• Type of intervention: In a methodological study of reporting quality of weight loss intervention studies, Thabane et al. found that trials of pharmacologic interventions were reported better than trials of non-pharmacologic interventions [ 70 ].
• Interactions between variables: Complex interactions between the previously listed variables are possible. High income countries with more resources may be more likely to conduct larger studies and incorporate a variety of experts. Authors in certain countries may prefer certain journals, and journal endorsement of guidelines and editorial policies may change over time.

Q: Should I focus only on high impact journals?

A: Investigators may choose to investigate only high impact journals because they are more likely to influence practice and policy, or because they assume that methodological standards would be higher. However, the JIF may severely limit the scope of articles included and may skew the sample towards articles with positive findings. The generalizability and applicability of findings from a handful of journals must be examined carefully, especially since the JIF varies over time. Even among journals that are all “high impact”, variations exist in methodological standards.

Q: Can I conduct a methodological study of qualitative research?

A: Yes. Even though a lot of methodological research has been conducted in the quantitative research field, methodological studies of qualitative studies are feasible. Certain databases that catalogue qualitative research including the Cumulative Index to Nursing & Allied Health Literature (CINAHL) have defined subject headings that are specific to methodological research (e.g. “research methodology”). Alternatively, one could also conduct a qualitative methodological review; that is, use qualitative approaches to synthesize methodological issues in qualitative studies.

Q: What reporting guidelines should I use for my methodological study?

A: There is no guideline that covers the entire scope of methodological studies. One adaptation of the PRISMA guidelines has been published, which works well for studies that aim to use the entire target population of research reports [ 71 ]. However, it is not widely used (40 citations in 2 years as of 09 December 2019), and methodological studies that are designed as cross-sectional or before-after studies require a more fit-for purpose guideline. A more encompassing reporting guideline for a broad range of methodological studies is currently under development [ 72 ]. However, in the absence of formal guidance, the requirements for scientific reporting should be respected, and authors of methodological studies should focus on transparency and reproducibility.

Q: What are the potential threats to validity and how can I avoid them?

A: Methodological studies may be compromised by a lack of internal or external validity. The main threats to internal validity in methodological studies are selection and confounding bias. Investigators must ensure that the methods used to select articles does not make them differ systematically from the set of articles to which they would like to make inferences. For example, attempting to make extrapolations to all journals after analyzing high-impact journals would be misleading.

Many factors (confounders) may distort the association between the exposure and outcome if the included research reports differ with respect to these factors [ 73 ]. For example, when examining the association between source of funding and completeness of reporting, it may be necessary to account for journals that endorse the guidelines. Confounding bias can be addressed by restriction, matching and statistical adjustment [ 73 ]. Restriction appears to be the method of choice for many investigators who choose to include only high impact journals or articles in a specific field. For example, Knol et al. examined the reporting of p -values in baseline tables of high impact journals [ 26 ]. Matching is also sometimes used. In the methodological study of non-randomized interventional studies of elective ventral hernia repair, Parker et al. matched prospective studies with retrospective studies and compared reporting standards [ 74 ]. Some other methodological studies use statistical adjustments. For example, Zhang et al. used regression techniques to determine the factors associated with missing participant data in trials [ 16 ].

With regard to external validity, researchers interested in conducting methodological studies must consider how generalizable or applicable their findings are. This should tie in closely with the research question and should be explicit. For example. Findings from methodological studies on trials published in high impact cardiology journals cannot be assumed to be applicable to trials in other fields. However, investigators must ensure that their sample truly represents the target sample either by a) conducting a comprehensive and exhaustive search, or b) using an appropriate and justified, randomly selected sample of research reports.

Even applicability to high impact journals may vary based on the investigators’ definition, and over time. For example, for high impact journals in the field of general medicine, Bouwmeester et al. included the Annals of Internal Medicine (AIM), BMJ, the Journal of the American Medical Association (JAMA), Lancet, the New England Journal of Medicine (NEJM), and PLoS Medicine ( n  = 6) [ 75 ]. In contrast, the high impact journals selected in the methodological study by Schiller et al. were BMJ, JAMA, Lancet, and NEJM ( n  = 4) [ 76 ]. Another methodological study by Kosa et al. included AIM, BMJ, JAMA, Lancet and NEJM ( n  = 5). In the methodological study by Thabut et al., journals with a JIF greater than 5 were considered to be high impact. Riado Minguez et al. used first quartile journals in the Journal Citation Reports (JCR) for a specific year to determine “high impact” [ 77 ]. Ultimately, the definition of high impact will be based on the number of journals the investigators are willing to include, the year of impact and the JIF cut-off [ 78 ]. We acknowledge that the term “generalizability” may apply differently for methodological studies, especially when in many instances it is possible to include the entire target population in the sample studied.

Finally, methodological studies are not exempt from information bias which may stem from discrepancies in the included research reports [ 79 ], errors in data extraction, or inappropriate interpretation of the information extracted. Likewise, publication bias may also be a concern in methodological studies, but such concepts have not yet been explored.

A proposed framework

In order to inform discussions about methodological studies, the development of guidance for what should be reported, we have outlined some key features of methodological studies that can be used to classify them. For each of the categories outlined below, we provide an example. In our experience, the choice of approach to completing a methodological study can be informed by asking the following four questions:

• What is the aim?

A methodological study may be focused on exploring sources of bias in primary or secondary studies (meta-bias), or how bias is analyzed. We have taken care to distinguish bias (i.e. systematic deviations from the truth irrespective of the source) from reporting quality or completeness (i.e. not adhering to a specific reporting guideline or norm). An example of where this distinction would be important is in the case of a randomized trial with no blinding. This study (depending on the nature of the intervention) would be at risk of performance bias. However, if the authors report that their study was not blinded, they would have reported adequately. In fact, some methodological studies attempt to capture both “quality of conduct” and “quality of reporting”, such as Richie et al., who reported on the risk of bias in randomized trials of pharmacy practice interventions [ 80 ]. Babic et al. investigated how risk of bias was used to inform sensitivity analyses in Cochrane reviews [ 81 ]. Further, biases related to choice of outcomes can also be explored. For example, Tan et al investigated differences in treatment effect size based on the outcome reported [ 82 ].

Methodological studies may report quality of reporting against a reporting checklist (i.e. adherence to guidelines) or against expected norms. For example, Croituro et al. report on the quality of reporting in systematic reviews published in dermatology journals based on their adherence to the PRISMA statement [ 83 ], and Khan et al. described the quality of reporting of harms in randomized controlled trials published in high impact cardiovascular journals based on the CONSORT extension for harms [ 84 ]. Other methodological studies investigate reporting of certain features of interest that may not be part of formally published checklists or guidelines. For example, Mbuagbaw et al. described how often the implications for research are elaborated using the Evidence, Participants, Intervention, Comparison, Outcome, Timeframe (EPICOT) format [ 30 ].

Sometimes investigators may be interested in how consistent reports of the same research are, as it is expected that there should be consistency between: conference abstracts and published manuscripts; manuscript abstracts and manuscript main text; and trial registration and published manuscript. For example, Rosmarakis et al. investigated consistency between conference abstracts and full text manuscripts [ 85 ].

In addition to identifying issues with reporting in primary and secondary studies, authors of methodological studies may be interested in determining the factors that are associated with certain reporting practices. Many methodological studies incorporate this, albeit as a secondary outcome. For example, Farrokhyar et al. investigated the factors associated with reporting quality in randomized trials of coronary artery bypass grafting surgery [ 53 ].

Methodological studies may also be used to describe methods or compare methods, and the factors associated with methods. Muller et al. described the methods used for systematic reviews and meta-analyses of observational studies [ 86 ].

Some methodological studies synthesize results from other methodological studies. For example, Li et al. conducted a scoping review of methodological reviews that investigated consistency between full text and abstracts in primary biomedical research [ 87 ].

Some methodological studies may investigate the use of names and terms in health research. For example, Martinic et al. investigated the definitions of systematic reviews used in overviews of systematic reviews (OSRs), meta-epidemiological studies and epidemiology textbooks [ 88 ].

In addition to the previously mentioned experimental methodological studies, there may exist other types of methodological studies not captured here.

• 2. What is the design?

Most methodological studies are purely descriptive and report their findings as counts (percent) and means (standard deviation) or medians (interquartile range). For example, Mbuagbaw et al. described the reporting of research recommendations in Cochrane HIV systematic reviews [ 30 ]. Gohari et al. described the quality of reporting of randomized trials in diabetes in Iran [ 12 ].

Some methodological studies are analytical wherein “analytical studies identify and quantify associations, test hypotheses, identify causes and determine whether an association exists between variables, such as between an exposure and a disease.” [ 89 ] In the case of methodological studies all these investigations are possible. For example, Kosa et al. investigated the association between agreement in primary outcome from trial registry to published manuscript and study covariates. They found that larger and more recent studies were more likely to have agreement [ 15 ]. Tricco et al. compared the conclusion statements from Cochrane and non-Cochrane systematic reviews with a meta-analysis of the primary outcome and found that non-Cochrane reviews were more likely to report positive findings. These results are a test of the null hypothesis that the proportions of Cochrane and non-Cochrane reviews that report positive results are equal [ 90 ].

• 3. What is the sampling strategy?

Methodological reviews with narrow research questions may be able to include the entire target population. For example, in the methodological study of Cochrane HIV systematic reviews, Mbuagbaw et al. included all of the available studies ( n  = 103) [ 30 ].

Many methodological studies use random samples of the target population [ 33 , 91 , 92 ]. Alternatively, purposeful sampling may be used, limiting the sample to a subset of research-related reports published within a certain time period, or in journals with a certain ranking or on a topic. Systematic sampling can also be used when random sampling may be challenging to implement.

• 4. What is the unit of analysis?

Many methodological studies use a research report (e.g. full manuscript of study, abstract portion of the study) as the unit of analysis, and inferences can be made at the study-level. However, both published and unpublished research-related reports can be studied. These may include articles, conference abstracts, registry entries etc.

Some methodological studies report on items which may occur more than once per article. For example, Paquette et al. report on subgroup analyses in Cochrane reviews of atrial fibrillation in which 17 systematic reviews planned 56 subgroup analyses [ 93 ].

This framework is outlined in Fig.  2 .

A proposed framework for methodological studies

Conclusions

Methodological studies have examined different aspects of reporting such as quality, completeness, consistency and adherence to reporting guidelines. As such, many of the methodological study examples cited in this tutorial are related to reporting. However, as an evolving field, the scope of research questions that can be addressed by methodological studies is expected to increase.

In this paper we have outlined the scope and purpose of methodological studies, along with examples of instances in which various approaches have been used. In the absence of formal guidance on the design, conduct, analysis and reporting of methodological studies, we have provided some advice to help make methodological studies consistent. This advice is grounded in good contemporary scientific practice. Generally, the research question should tie in with the sampling approach and planned analysis. We have also highlighted the variables that may inform findings from methodological studies. Lastly, we have provided suggestions for ways in which authors can categorize their methodological studies to inform their design and analysis.

Acknowledgements

Abbreviations, authors’ contributions.

LM conceived the idea and drafted the outline and paper. DOL and LT commented on the idea and draft outline. LM, LP and DOL performed literature searches and data extraction. All authors (LM, DOL, LT, LP, DBA) reviewed several draft versions of the manuscript and approved the final manuscript.

This work did not receive any dedicated funding.

Availability of data and materials

Ethics approval and consent to participate.

Not applicable.

Consent for publication

Competing interests.

DOL, DBA, LM, LP and LT are involved in the development of a reporting guideline for methodological studies.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Home » Research Methods – Types, Examples and Guide

Research Methods – Types, Examples and Guide

Table of Contents

Research Methods

Definition:

Research Methods refer to the techniques, procedures, and processes used by researchers to collect , analyze, and interpret data in order to answer research questions or test hypotheses. The methods used in research can vary depending on the research questions, the type of data that is being collected, and the research design.

Types of Research Methods

Types of Research Methods are as follows:

Qualitative research Method

Qualitative research methods are used to collect and analyze non-numerical data. This type of research is useful when the objective is to explore the meaning of phenomena, understand the experiences of individuals, or gain insights into complex social processes. Qualitative research methods include interviews, focus groups, ethnography, and content analysis.

Quantitative Research Method

Quantitative research methods are used to collect and analyze numerical data. This type of research is useful when the objective is to test a hypothesis, determine cause-and-effect relationships, and measure the prevalence of certain phenomena. Quantitative research methods include surveys, experiments, and secondary data analysis.

Mixed Method Research

Mixed Method Research refers to the combination of both qualitative and quantitative research methods in a single study. This approach aims to overcome the limitations of each individual method and to provide a more comprehensive understanding of the research topic. This approach allows researchers to gather both quantitative data, which is often used to test hypotheses and make generalizations about a population, and qualitative data, which provides a more in-depth understanding of the experiences and perspectives of individuals.

Key Differences Between Research Methods

The following Table shows the key differences between Quantitative, Qualitative and Mixed Research Methods

Examples of Research Methods

Examples of Research Methods are as follows:

Qualitative Research Example:

A researcher wants to study the experience of cancer patients during their treatment. They conduct in-depth interviews with patients to gather data on their emotional state, coping mechanisms, and support systems.

Quantitative Research Example:

A company wants to determine the effectiveness of a new advertisement campaign. They survey a large group of people, asking them to rate their awareness of the product and their likelihood of purchasing it.

Mixed Research Example:

A university wants to evaluate the effectiveness of a new teaching method in improving student performance. They collect both quantitative data (such as test scores) and qualitative data (such as feedback from students and teachers) to get a complete picture of the impact of the new method.

Applications of Research Methods

Research methods are used in various fields to investigate, analyze, and answer research questions. Here are some examples of how research methods are applied in different fields:

• Psychology : Research methods are widely used in psychology to study human behavior, emotions, and mental processes. For example, researchers may use experiments, surveys, and observational studies to understand how people behave in different situations, how they respond to different stimuli, and how their brains process information.
• Sociology : Sociologists use research methods to study social phenomena, such as social inequality, social change, and social relationships. Researchers may use surveys, interviews, and observational studies to collect data on social attitudes, beliefs, and behaviors.
• Medicine : Research methods are essential in medical research to study diseases, test new treatments, and evaluate their effectiveness. Researchers may use clinical trials, case studies, and laboratory experiments to collect data on the efficacy and safety of different medical treatments.
• Education : Research methods are used in education to understand how students learn, how teachers teach, and how educational policies affect student outcomes. Researchers may use surveys, experiments, and observational studies to collect data on student performance, teacher effectiveness, and educational programs.
• Business : Research methods are used in business to understand consumer behavior, market trends, and business strategies. Researchers may use surveys, focus groups, and observational studies to collect data on consumer preferences, market trends, and industry competition.
• Environmental science : Research methods are used in environmental science to study the natural world and its ecosystems. Researchers may use field studies, laboratory experiments, and observational studies to collect data on environmental factors, such as air and water quality, and the impact of human activities on the environment.
• Political science : Research methods are used in political science to study political systems, institutions, and behavior. Researchers may use surveys, experiments, and observational studies to collect data on political attitudes, voting behavior, and the impact of policies on society.

Purpose of Research Methods

Research methods serve several purposes, including:

• Identify research problems: Research methods are used to identify research problems or questions that need to be addressed through empirical investigation.
• Develop hypotheses: Research methods help researchers develop hypotheses, which are tentative explanations for the observed phenomenon or relationship.
• Collect data: Research methods enable researchers to collect data in a systematic and objective way, which is necessary to test hypotheses and draw meaningful conclusions.
• Analyze data: Research methods provide tools and techniques for analyzing data, such as statistical analysis, content analysis, and discourse analysis.
• Test hypotheses: Research methods allow researchers to test hypotheses by examining the relationships between variables in a systematic and controlled manner.
• Draw conclusions : Research methods facilitate the drawing of conclusions based on empirical evidence and help researchers make generalizations about a population based on their sample data.
• Enhance understanding: Research methods contribute to the development of knowledge and enhance our understanding of various phenomena and relationships, which can inform policy, practice, and theory.

When to Use Research Methods

Research methods are used when you need to gather information or data to answer a question or to gain insights into a particular phenomenon.

Here are some situations when research methods may be appropriate:

• To investigate a problem : Research methods can be used to investigate a problem or a research question in a particular field. This can help in identifying the root cause of the problem and developing solutions.
• To gather data: Research methods can be used to collect data on a particular subject. This can be done through surveys, interviews, observations, experiments, and more.
• To evaluate programs : Research methods can be used to evaluate the effectiveness of a program, intervention, or policy. This can help in determining whether the program is meeting its goals and objectives.
• To explore new areas : Research methods can be used to explore new areas of inquiry or to test new hypotheses. This can help in advancing knowledge in a particular field.
• To make informed decisions : Research methods can be used to gather information and data to support informed decision-making. This can be useful in various fields such as healthcare, business, and education.

Advantages of Research Methods

Research methods provide several advantages, including:

• Objectivity : Research methods enable researchers to gather data in a systematic and objective manner, minimizing personal biases and subjectivity. This leads to more reliable and valid results.
• Replicability : A key advantage of research methods is that they allow for replication of studies by other researchers. This helps to confirm the validity of the findings and ensures that the results are not specific to the particular research team.
• Generalizability : Research methods enable researchers to gather data from a representative sample of the population, allowing for generalizability of the findings to a larger population. This increases the external validity of the research.
• Precision : Research methods enable researchers to gather data using standardized procedures, ensuring that the data is accurate and precise. This allows researchers to make accurate predictions and draw meaningful conclusions.
• Efficiency : Research methods enable researchers to gather data efficiently, saving time and resources. This is especially important when studying large populations or complex phenomena.
• Innovation : Research methods enable researchers to develop new techniques and tools for data collection and analysis, leading to innovation and advancement in the field.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Research Methods In Psychology

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Learn about our Editorial Process

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

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Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

Research methods in psychology are systematic procedures used to observe, describe, predict, and explain behavior and mental processes. They include experiments, surveys, case studies, and naturalistic observations, ensuring data collection is objective and reliable to understand and explain psychological phenomena.

Hypotheses are statements about the prediction of the results, that can be verified or disproved by some investigation.

There are four types of hypotheses :

• Null Hypotheses (H0 ) – these predict that no difference will be found in the results between the conditions. Typically these are written ‘There will be no difference…’
• Alternative Hypotheses (Ha or H1) – these predict that there will be a significant difference in the results between the two conditions. This is also known as the experimental hypothesis.
• One-tailed (directional) hypotheses – these state the specific direction the researcher expects the results to move in, e.g. higher, lower, more, less. In a correlation study, the predicted direction of the correlation can be either positive or negative.
• Two-tailed (non-directional) hypotheses – these state that a difference will be found between the conditions of the independent variable but does not state the direction of a difference or relationship. Typically these are always written ‘There will be a difference ….’

All research has an alternative hypothesis (either a one-tailed or two-tailed) and a corresponding null hypothesis.

Once the research is conducted and results are found, psychologists must accept one hypothesis and reject the other. 

So, if a difference is found, the Psychologist would accept the alternative hypothesis and reject the null.  The opposite applies if no difference is found.

Sampling techniques

Sampling is the process of selecting a representative group from the population under study.

A sample is the participants you select from a target population (the group you are interested in) to make generalizations about.

Representative means the extent to which a sample mirrors a researcher’s target population and reflects its characteristics.

Generalisability means the extent to which their findings can be applied to the larger population of which their sample was a part.

• Volunteer sample : where participants pick themselves through newspaper adverts, noticeboards or online.
• Opportunity sampling : also known as convenience sampling , uses people who are available at the time the study is carried out and willing to take part. It is based on convenience.
• Random sampling : when every person in the target population has an equal chance of being selected. An example of random sampling would be picking names out of a hat.
• Systematic sampling : when a system is used to select participants. Picking every Nth person from all possible participants. N = the number of people in the research population / the number of people needed for the sample.
• Stratified sampling : when you identify the subgroups and select participants in proportion to their occurrences.
• Snowball sampling : when researchers find a few participants, and then ask them to find participants themselves and so on.
• Quota sampling : when researchers will be told to ensure the sample fits certain quotas, for example they might be told to find 90 participants, with 30 of them being unemployed.

Experiments always have an independent and dependent variable .

• The independent variable is the one the experimenter manipulates (the thing that changes between the conditions the participants are placed into). It is assumed to have a direct effect on the dependent variable.
• The dependent variable is the thing being measured, or the results of the experiment.

Operationalization of variables means making them measurable/quantifiable. We must use operationalization to ensure that variables are in a form that can be easily tested.

For instance, we can’t really measure ‘happiness’, but we can measure how many times a person smiles within a two-hour period. 

By operationalizing variables, we make it easy for someone else to replicate our research. Remember, this is important because we can check if our findings are reliable.

Extraneous variables are all variables which are not independent variable but could affect the results of the experiment.

It can be a natural characteristic of the participant, such as intelligence levels, gender, or age for example, or it could be a situational feature of the environment such as lighting or noise.

Demand characteristics are a type of extraneous variable that occurs if the participants work out the aims of the research study, they may begin to behave in a certain way.

For example, in Milgram’s research , critics argued that participants worked out that the shocks were not real and they administered them as they thought this was what was required of them. 

Extraneous variables must be controlled so that they do not affect (confound) the results.

Randomly allocating participants to their conditions or using a matched pairs experimental design can help to reduce participant variables. 

Situational variables are controlled by using standardized procedures, ensuring every participant in a given condition is treated in the same way

Experimental Design

Experimental design refers to how participants are allocated to each condition of the independent variable, such as a control or experimental group.

• Independent design ( between-groups design ): each participant is selected for only one group. With the independent design, the most common way of deciding which participants go into which group is by means of randomization. 
• Matched participants design : each participant is selected for only one group, but the participants in the two groups are matched for some relevant factor or factors (e.g. ability; sex; age).
• Repeated measures design ( within groups) : each participant appears in both groups, so that there are exactly the same participants in each group.
• The main problem with the repeated measures design is that there may well be order effects. Their experiences during the experiment may change the participants in various ways.
• They may perform better when they appear in the second group because they have gained useful information about the experiment or about the task. On the other hand, they may perform less well on the second occasion because of tiredness or boredom.
• Counterbalancing is the best way of preventing order effects from disrupting the findings of an experiment, and involves ensuring that each condition is equally likely to be used first and second by the participants.

If we wish to compare two groups with respect to a given independent variable, it is essential to make sure that the two groups do not differ in any other important way. 

Experimental Methods

All experimental methods involve an iv (independent variable) and dv (dependent variable)..

• Field experiments are conducted in the everyday (natural) environment of the participants. The experimenter still manipulates the IV, but in a real-life setting. It may be possible to control extraneous variables, though such control is more difficult than in a lab experiment.
• Natural experiments are when a naturally occurring IV is investigated that isn’t deliberately manipulated, it exists anyway. Participants are not randomly allocated, and the natural event may only occur rarely.

Case studies are in-depth investigations of a person, group, event, or community. It uses information from a range of sources, such as from the person concerned and also from their family and friends.

Many techniques may be used such as interviews, psychological tests, observations and experiments. Case studies are generally longitudinal: in other words, they follow the individual or group over an extended period of time. 

Case studies are widely used in psychology and among the best-known ones carried out were by Sigmund Freud . He conducted very detailed investigations into the private lives of his patients in an attempt to both understand and help them overcome their illnesses.

Case studies provide rich qualitative data and have high levels of ecological validity. However, it is difficult to generalize from individual cases as each one has unique characteristics.

Correlational Studies

Correlation means association; it is a measure of the extent to which two variables are related. One of the variables can be regarded as the predictor variable with the other one as the outcome variable.

Correlational studies typically involve obtaining two different measures from a group of participants, and then assessing the degree of association between the measures. 

The predictor variable can be seen as occurring before the outcome variable in some sense. It is called the predictor variable, because it forms the basis for predicting the value of the outcome variable.

Relationships between variables can be displayed on a graph or as a numerical score called a correlation coefficient.

• If an increase in one variable tends to be associated with an increase in the other, then this is known as a positive correlation .
• If an increase in one variable tends to be associated with a decrease in the other, then this is known as a negative correlation .
• A zero correlation occurs when there is no relationship between variables.

After looking at the scattergraph, if we want to be sure that a significant relationship does exist between the two variables, a statistical test of correlation can be conducted, such as Spearman’s rho.

The test will give us a score, called a correlation coefficient . This is a value between 0 and 1, and the closer to 1 the score is, the stronger the relationship between the variables. This value can be both positive e.g. 0.63, or negative -0.63.

A correlation between variables, however, does not automatically mean that the change in one variable is the cause of the change in the values of the other variable. A correlation only shows if there is a relationship between variables.

Correlation does not always prove causation, as a third variable may be involved. 

Interview Methods

Interviews are commonly divided into two types: structured and unstructured.

A fixed, predetermined set of questions is put to every participant in the same order and in the same way. 

Responses are recorded on a questionnaire, and the researcher presets the order and wording of questions, and sometimes the range of alternative answers.

The interviewer stays within their role and maintains social distance from the interviewee.

There are no set questions, and the participant can raise whatever topics he/she feels are relevant and ask them in their own way. Questions are posed about participants’ answers to the subject

Unstructured interviews are most useful in qualitative research to analyze attitudes and values.

Though they rarely provide a valid basis for generalization, their main advantage is that they enable the researcher to probe social actors’ subjective point of view. 

Questionnaire Method

Questionnaires can be thought of as a kind of written interview. They can be carried out face to face, by telephone, or post.

The choice of questions is important because of the need to avoid bias or ambiguity in the questions, ‘leading’ the respondent or causing offense.

• Open questions are designed to encourage a full, meaningful answer using the subject’s own knowledge and feelings. They provide insights into feelings, opinions, and understanding. Example: “How do you feel about that situation?”
• Closed questions can be answered with a simple “yes” or “no” or specific information, limiting the depth of response. They are useful for gathering specific facts or confirming details. Example: “Do you feel anxious in crowds?”

Its other practical advantages are that it is cheaper than face-to-face interviews and can be used to contact many respondents scattered over a wide area relatively quickly.

Observations

There are different types of observation methods :

• Covert observation is where the researcher doesn’t tell the participants they are being observed until after the study is complete. There could be ethical problems or deception and consent with this particular observation method.
• Overt observation is where a researcher tells the participants they are being observed and what they are being observed for.
• Controlled : behavior is observed under controlled laboratory conditions (e.g., Bandura’s Bobo doll study).
• Natural : Here, spontaneous behavior is recorded in a natural setting.
• Participant : Here, the observer has direct contact with the group of people they are observing. The researcher becomes a member of the group they are researching.  
• Non-participant (aka “fly on the wall): The researcher does not have direct contact with the people being observed. The observation of participants’ behavior is from a distance

Pilot Study

A pilot  study is a small scale preliminary study conducted in order to evaluate the feasibility of the key s teps in a future, full-scale project.

A pilot study is an initial run-through of the procedures to be used in an investigation; it involves selecting a few people and trying out the study on them. It is possible to save time, and in some cases, money, by identifying any flaws in the procedures designed by the researcher.

A pilot study can help the researcher spot any ambiguities (i.e. unusual things) or confusion in the information given to participants or problems with the task devised.

Sometimes the task is too hard, and the researcher may get a floor effect, because none of the participants can score at all or can complete the task – all performances are low.

The opposite effect is a ceiling effect, when the task is so easy that all achieve virtually full marks or top performances and are “hitting the ceiling”.

Research Design

In cross-sectional research , a researcher compares multiple segments of the population at the same time

Sometimes, we want to see how people change over time, as in studies of human development and lifespan. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time.

In cohort studies , the participants must share a common factor or characteristic such as age, demographic, or occupation. A cohort study is a type of longitudinal study in which researchers monitor and observe a chosen population over an extended period.

Triangulation means using more than one research method to improve the study’s validity.

Reliability

Reliability is a measure of consistency, if a particular measurement is repeated and the same result is obtained then it is described as being reliable.

• Test-retest reliability :  assessing the same person on two different occasions which shows the extent to which the test produces the same answers.
• Inter-observer reliability : the extent to which there is an agreement between two or more observers.

Meta-Analysis

A meta-analysis is a systematic review that involves identifying an aim and then searching for research studies that have addressed similar aims/hypotheses.

This is done by looking through various databases, and then decisions are made about what studies are to be included/excluded.

Strengths: Increases the conclusions’ validity as they’re based on a wider range.

Weaknesses: Research designs in studies can vary, so they are not truly comparable.

Peer Review

A researcher submits an article to a journal. The choice of the journal may be determined by the journal’s audience or prestige.

The journal selects two or more appropriate experts (psychologists working in a similar field) to peer review the article without payment. The peer reviewers assess: the methods and designs used, originality of the findings, the validity of the original research findings and its content, structure and language.

Feedback from the reviewer determines whether the article is accepted. The article may be: Accepted as it is, accepted with revisions, sent back to the author to revise and re-submit or rejected without the possibility of submission.

The editor makes the final decision whether to accept or reject the research report based on the reviewers comments/ recommendations.

Peer review is important because it prevent faulty data from entering the public domain, it provides a way of checking the validity of findings and the quality of the methodology and is used to assess the research rating of university departments.

Peer reviews may be an ideal, whereas in practice there are lots of problems. For example, it slows publication down and may prevent unusual, new work being published. Some reviewers might use it as an opportunity to prevent competing researchers from publishing work.

Some people doubt whether peer review can really prevent the publication of fraudulent research.

The advent of the internet means that a lot of research and academic comment is being published without official peer reviews than before, though systems are evolving on the internet where everyone really has a chance to offer their opinions and police the quality of research.

Types of Data

• Quantitative data is numerical data e.g. reaction time or number of mistakes. It represents how much or how long, how many there are of something. A tally of behavioral categories and closed questions in a questionnaire collect quantitative data.
• Qualitative data is virtually any type of information that can be observed and recorded that is not numerical in nature and can be in the form of written or verbal communication. Open questions in questionnaires and accounts from observational studies collect qualitative data.
• Primary data is first-hand data collected for the purpose of the investigation.
• Secondary data is information that has been collected by someone other than the person who is conducting the research e.g. taken from journals, books or articles.

Validity means how well a piece of research actually measures what it sets out to, or how well it reflects the reality it claims to represent.

Validity is whether the observed effect is genuine and represents what is actually out there in the world.

• Concurrent validity is the extent to which a psychological measure relates to an existing similar measure and obtains close results. For example, a new intelligence test compared to an established test.
• Face validity : does the test measure what it’s supposed to measure ‘on the face of it’. This is done by ‘eyeballing’ the measuring or by passing it to an expert to check.
• Ecological validit y is the extent to which findings from a research study can be generalized to other settings / real life.
• Temporal validity is the extent to which findings from a research study can be generalized to other historical times.

Features of Science

• Paradigm – A set of shared assumptions and agreed methods within a scientific discipline.
• Paradigm shift – The result of the scientific revolution: a significant change in the dominant unifying theory within a scientific discipline.
• Objectivity – When all sources of personal bias are minimised so not to distort or influence the research process.
• Empirical method – Scientific approaches that are based on the gathering of evidence through direct observation and experience.
• Replicability – The extent to which scientific procedures and findings can be repeated by other researchers.
• Falsifiability – The principle that a theory cannot be considered scientific unless it admits the possibility of being proved untrue.

Statistical Testing

A significant result is one where there is a low probability that chance factors were responsible for any observed difference, correlation, or association in the variables tested.

If our test is significant, we can reject our null hypothesis and accept our alternative hypothesis.

If our test is not significant, we can accept our null hypothesis and reject our alternative hypothesis. A null hypothesis is a statement of no effect.

In Psychology, we use p < 0.05 (as it strikes a balance between making a type I and II error) but p < 0.01 is used in tests that could cause harm like introducing a new drug.

A type I error is when the null hypothesis is rejected when it should have been accepted (happens when a lenient significance level is used, an error of optimism).

A type II error is when the null hypothesis is accepted when it should have been rejected (happens when a stringent significance level is used, an error of pessimism).

Ethical Issues

• Informed consent is when participants are able to make an informed judgment about whether to take part. It causes them to guess the aims of the study and change their behavior.
• To deal with it, we can gain presumptive consent or ask them to formally indicate their agreement to participate but it may invalidate the purpose of the study and it is not guaranteed that the participants would understand.
• Deception should only be used when it is approved by an ethics committee, as it involves deliberately misleading or withholding information. Participants should be fully debriefed after the study but debriefing can’t turn the clock back.
• All participants should be informed at the beginning that they have the right to withdraw if they ever feel distressed or uncomfortable.
• It causes bias as the ones that stayed are obedient and some may not withdraw as they may have been given incentives or feel like they’re spoiling the study. Researchers can offer the right to withdraw data after participation.
• Participants should all have protection from harm . The researcher should avoid risks greater than those experienced in everyday life and they should stop the study if any harm is suspected. However, the harm may not be apparent at the time of the study.
• Confidentiality concerns the communication of personal information. The researchers should not record any names but use numbers or false names though it may not be possible as it is sometimes possible to work out who the researchers were.

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