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23 Advantages and Disadvantages of Qualitative Research

Investigating methodologies. Taking a closer look at ethnographic, anthropological, or naturalistic techniques. Data mining through observer recordings. This is what the world of qualitative research is all about. It is the comprehensive and complete data that is collected by having the courage to ask an open-ended question.

Print media has used the principles of qualitative research for generations. Now more industries are seeing the advantages that come from the extra data that is received by asking more than a “yes” or “no” question.

The advantages and disadvantages of qualitative research are quite unique. On one hand, you have the perspective of the data that is being collected. On the other hand, you have the techniques of the data collector and their own unique observations that can alter the information in subtle ways.

That’s why these key points are so important to consider.

What Are the Advantages of Qualitative Research?

1. Subject materials can be evaluated with greater detail. There are many time restrictions that are placed on research methods. The goal of a time restriction is to create a measurable outcome so that metrics can be in place. Qualitative research focuses less on the metrics of the data that is being collected and more on the subtleties of what can be found in that information. This allows for the data to have an enhanced level of detail to it, which can provide more opportunities to glean insights from it during examination.

2. Research frameworks can be fluid and based on incoming or available data. Many research opportunities must follow a specific pattern of questioning, data collection, and information reporting. Qualitative research offers a different approach. It can adapt to the quality of information that is being gathered. If the available data does not seem to be providing any results, the research can immediately shift gears and seek to gather data in a new direction. This offers more opportunities to gather important clues about any subject instead of being confined to a limited and often self-fulfilling perspective.

3. Qualitative research data is based on human experiences and observations. Humans have two very different operating systems. One is a subconscious method of operation, which is the fast and instinctual observations that are made when data is present. The other operating system is slower and more methodical, wanting to evaluate all sources of data before deciding. Many forms of research rely on the second operating system while ignoring the instinctual nature of the human mind. Qualitative research doesn’t ignore the gut instinct. It embraces it and the data that can be collected is often better for it.

4. Gathered data has a predictive quality to it. One of the common mistakes that occurs with qualitative research is an assumption that a personal perspective can be extrapolated into a group perspective. This is only possible when individuals grow up in similar circumstances, have similar perspectives about the world, and operate with similar goals. When these groups can be identified, however, the gathered individualistic data can have a predictive quality for those who are in a like-minded group. At the very least, the data has a predictive quality for the individual from whom it was gathered.

5. Qualitative research operates within structures that are fluid. Because the data being gathered through this type of research is based on observations and experiences, an experienced researcher can follow-up interesting answers with additional questions. Unlike other forms of research that require a specific framework with zero deviation, researchers can follow any data tangent which makes itself known and enhance the overall database of information that is being collected.

6. Data complexities can be incorporated into generated conclusions. Although our modern world tends to prefer statistics and verifiable facts, we cannot simply remove the human experience from the equation. Different people will have remarkably different perceptions about any statistic, fact, or event. This is because our unique experiences generate a different perspective of the data that we see. These complexities, when gathered into a singular database, can generate conclusions with more depth and accuracy, which benefits everyone.

7. Qualitative research is an open-ended process. When a researcher is properly prepared, the open-ended structures of qualitative research make it possible to get underneath superficial responses and rational thoughts to gather information from an individual’s emotional response. This is critically important to this form of researcher because it is an emotional response which often drives a person’s decisions or influences their behavior.

8. Creativity becomes a desirable quality within qualitative research. It can be difficult to analyze data that is obtained from individual sources because many people subconsciously answer in a way that they think someone wants. This desire to “please” another reduces the accuracy of the data and suppresses individual creativity. By embracing the qualitative research method, it becomes possible to encourage respondent creativity, allowing people to express themselves with authenticity. In return, the data collected becomes more accurate and can lead to predictable outcomes.

9. Qualitative research can create industry-specific insights. Brands and businesses today need to build relationships with their core demographics to survive. The terminology, vocabulary, and jargon that consumers use when looking at products or services is just as important as the reputation of the brand that is offering them. If consumers are receiving one context, but the intention of the brand is a different context, then the miscommunication can artificially restrict sales opportunities. Qualitative research gives brands access to these insights so they can accurately communicate their value propositions.

10. Smaller sample sizes are used in qualitative research, which can save on costs. Many qualitative research projects can be completed quickly and on a limited budget because they typically use smaller sample sizes that other research methods. This allows for faster results to be obtained so that projects can move forward with confidence that only good data is able to provide.

11. Qualitative research provides more content for creatives and marketing teams. When your job involves marketing, or creating new campaigns that target a specific demographic, then knowing what makes those people can be quite challenging. By going through the qualitative research approach, it becomes possible to congregate authentic ideas that can be used for marketing and other creative purposes. This makes communication between the two parties to be handled with more accuracy, leading to greater level of happiness for all parties involved.

12. Attitude explanations become possible with qualitative research. Consumer patterns can change on a dime sometimes, leaving a brand out in the cold as to what just happened. Qualitative research allows for a greater understanding of consumer attitudes, providing an explanation for events that occur outside of the predictive matrix that was developed through previous research. This allows the optimal brand/consumer relationship to be maintained.

What Are the Disadvantages of Qualitative Research?

1. The quality of the data gathered in qualitative research is highly subjective. This is where the personal nature of data gathering in qualitative research can also be a negative component of the process. What one researcher might feel is important and necessary to gather can be data that another researcher feels is pointless and won’t spend time pursuing it. Having individual perspectives and including instinctual decisions can lead to incredibly detailed data. It can also lead to data that is generalized or even inaccurate because of its reliance on researcher subjectivisms.

2. Data rigidity is more difficult to assess and demonstrate. Because individual perspectives are often the foundation of the data that is gathered in qualitative research, it is more difficult to prove that there is rigidity in the information that is collective. The human mind tends to remember things in the way it wants to remember them. That is why memories are often looked at fondly, even if the actual events that occurred may have been somewhat disturbing at the time. This innate desire to look at the good in things makes it difficult for researchers to demonstrate data validity.

3. Mining data gathered by qualitative research can be time consuming. The number of details that are often collected while performing qualitative research are often overwhelming. Sorting through that data to pull out the key points can be a time-consuming effort. It is also a subjective effort because what one researcher feels is important may not be pulled out by another researcher. Unless there are some standards in place that cannot be overridden, data mining through a massive number of details can almost be more trouble than it is worth in some instances.

4. Qualitative research creates findings that are valuable, but difficult to present. Presenting the findings which come out of qualitative research is a bit like listening to an interview on CNN. The interviewer will ask a question to the interviewee, but the goal is to receive an answer that will help present a database which presents a specific outcome to the viewer. The goal might be to have a viewer watch an interview and think, “That’s terrible. We need to pass a law to change that.” The subjective nature of the information, however, can cause the viewer to think, “That’s wonderful. Let’s keep things the way they are right now.” That is why findings from qualitative research are difficult to present. What a research gleans from the data can be very different from what an outside observer gleans from the data.

5. Data created through qualitative research is not always accepted. Because of the subjective nature of the data that is collected in qualitative research, findings are not always accepted by the scientific community. A second independent qualitative research effort which can produce similar findings is often necessary to begin the process of community acceptance.

6. Researcher influence can have a negative effect on the collected data. The quality of the data that is collected through qualitative research is highly dependent on the skills and observation of the researcher. If a researcher has a biased point of view, then their perspective will be included with the data collected and influence the outcome. There must be controls in place to help remove the potential for bias so the data collected can be reviewed with integrity. Otherwise, it would be possible for a researcher to make any claim and then use their bias through qualitative research to prove their point.

7. Replicating results can be very difficult with qualitative research. The scientific community wants to see results that can be verified and duplicated to accept research as factual. In the world of qualitative research, this can be very difficult to accomplish. Not only do you have the variability of researcher bias for which to account within the data, but there is also the informational bias that is built into the data itself from the provider. This means the scope of data gathering can be extremely limited, even if the structure of gathering information is fluid, because of each unique perspective.

8. Difficult decisions may require repetitive qualitative research periods. The smaller sample sizes of qualitative research may be an advantage, but they can also be a disadvantage for brands and businesses which are facing a difficult or potentially controversial decision. A small sample is not always representative of a larger population demographic, even if there are deep similarities with the individuals involve. This means a follow-up with a larger quantitative sample may be necessary so that data points can be tracked with more accuracy, allowing for a better overall decision to be made.

9. Unseen data can disappear during the qualitative research process. The amount of trust that is placed on the researcher to gather, and then draw together, the unseen data that is offered by a provider is enormous. The research is dependent upon the skill of the researcher being able to connect all the dots. If the researcher can do this, then the data can be meaningful and help brands and progress forward with their mission. If not, there is no way to alter course until after the first results are received. Then a new qualitative process must begin.

10. Researchers must have industry-related expertise. You can have an excellent researcher on-board for a project, but if they are not familiar with the subject matter, they will have a difficult time gathering accurate data. For qualitative research to be accurate, the interviewer involved must have specific skills, experiences, and expertise in the subject matter being studied. They must also be familiar with the material being evaluated and have the knowledge to interpret responses that are received. If any piece of this skill set is missing, the quality of the data being gathered can be open to interpretation.

11. Qualitative research is not statistically representative. The one disadvantage of qualitative research which is always present is its lack of statistical representation. It is a perspective-based method of research only, which means the responses given are not measured. Comparisons can be made and this can lead toward the duplication which may be required, but for the most part, quantitative data is required for circumstances which need statistical representation and that is not part of the qualitative research process.

The advantages and disadvantages of qualitative research make it possible to gather and analyze individualistic data on deeper levels. This makes it possible to gain new insights into consumer thoughts, demographic behavioral patterns, and emotional reasoning processes. When a research can connect the dots of each information point that is gathered, the information can lead to personalized experiences, better value in products and services, and ongoing brand development.

19 Advantages and Disadvantages of Qualitative Research

Qualitative research is a method that involves collecting and analyzing non-numerical data to understand social phenomena.

This approach allows researchers to explore and gain in-depth insights into complex issues that cannot be easily measured or quantified.

However, like any research method, there are both advantages and disadvantages associated with qualitative research.

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• September 9, 2023
• Professional Development , Thesis Writing

Advantages of Qualitative Research

• Rich and In-Depth Data : Qualitative research provides rich and detailed data, allowing researchers to explore complex social phenomena, experiences, and contexts in depth.
• Contextual Understanding : It emphasizes the importance of context, enabling researchers to understand the social, cultural, and environmental factors that influence behavior and perceptions.
• Flexibility : Qualitative research is flexible and adaptable, allowing researchers to change their research focus, questions, or methods based on emerging insights during the study.
• Exploratory Nature : It is well-suited for generating hypotheses and theories by exploring new or under-researched topics. Researchers can uncover unexpected findings.
• Participant Perspectives : Qualitative research prioritizes the voices and perspectives of participants, providing insight into their lived experiences, beliefs, and worldviews.
• Holistic Understanding : Researchers can capture the complexity of human behavior and experiences, including emotions, motivations, and interpersonal dynamics.
• Useful for Small Sample Sizes : Qualitative research can be effective with small sample sizes when a deep understanding of a specific group or context is required.
• Complementary to Quantitative Research : It can complement quantitative research by providing qualitative insights that help explain or interpret numerical data.
• Validity and Authenticity : Qualitative research often focuses on establishing the validity and authenticity of findings, emphasizing the importance of rigor and transparency in the research process.

Disadvantages of Qualitative Research

• Subjectivity : Qualitative research is subjective in nature, and findings can be influenced by the researcher's biases, interpretations, and values.
• Limited Generalizability : The small sample sizes and context-specific nature of qualitative research may limit the generalizability of findings to broader populations or contexts.
• Time-Consuming : Qualitative research can be time-consuming, as it involves data collection methods such as interviews, participant observation, and content analysis, which require significant time and effort.
• Data Analysis Complexity : Analyzing qualitative data can be complex, requiring skills in coding, thematic analysis, and interpretation. It can be challenging to ensure intercoder reliability.
• Resource-Intensive : Qualitative research may require more resources than quantitative research, particularly when conducting in-depth interviews or ethnographic fieldwork.
• Ethical Considerations : Researchers must navigate ethical considerations, such as informed consent, confidentiality, and ensuring the well-being of participants, which can be complex in qualitative studies.
• Interpretation Challenges : Qualitative research findings are open to interpretation, and different researchers may draw different conclusions from the same data.
• Limited Quantification : Qualitative research does not produce numerical data, which can make it challenging to quantify and compare findings across studies.
• Potential for Researcher Influence : Researchers may inadvertently influence participant responses or behaviors through their presence or questioning, leading to potential bias.
• Difficulty in Sampling : Choosing a representative sample can be challenging in qualitative research, as the emphasis is on depth rather than breadth.

In practice, the choice between qualitative and quantitative research methods depends on the research objectives, questions, and the nature of the phenomenon being studied. 

Often, researchers use mixed methods, combining both qualitative and quantitative approaches, to gain a more comprehensive understanding of a research topic.

Conclusion of Pros and Cons of Qualitative Research Method

In conclusion, qualitative research offers several advantages, such as capturing rich, detailed data, providing flexibility in data collection methods, and allowing for exploratory studiesfrom market research, focus group, interviews with follow-up questions and open-ended questions by the interviewer.

However, it also has limitations, including small sample sizes, subjective data analysis, resource-intensiveness, and challenges in establishing validity and reliability, as in contrast from quantitative methods with quantitative data. 

Therefore, researchers should consider both the strengths and weaknesses of qualitative research and advantages and disadvantages of quantitative research approach when selecting the appropriate type of research methodology for their study. 

By understanding these advantages and disadvantages, researchers can make informed decisions and maximize the potential of qualitative research in generating meaningful insights.

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16 Key Advantages and Disadvantages of Qualitative Research Methods

Qualitative research is the process of natural inquisitiveness which wants to find an in-depth understanding of specific social phenomena within a regular setting. It is a process that seeks to find out why people act the way that they do in specific situations. By relying on the direct experiences that each person has every day, it becomes possible to define the meaning of a choice – or even a life.

Researchers who use the qualitative process are looking at multiple methods of inquiry to review human-related activities. This process is a way to measure the very existence of humanity. Multiple options are available to complete the work, including discourse analysis, biographies, case studies, and various other theories.

This process results in three primary areas of focus, which are individual actions, overall communication, and cultural influence. Each option must make the common assumption that knowledge is subjective instead of objective, which means the researchers must learn from their participants to understand what is valuable and what is not in their studies.

List of the Pros of Qualitative Research

1. Qualitative research is a very affordable method of research. Qualitative research is one of the most affordable ways to glean information from individuals who are being studied. Focus groups tend to be the primary method of collecting information using this process because it is fast and effective. Although there are research studies that require an extensive period of observation to produce results, using a group interview session can produce usable information in under an hour. That means you can proceed faster with the ideas you wish to pursue when compared to other research methods.

2. Qualitative research provides a predictive element. The data which researchers gather when using the qualitative research process provides a predictive element to the project. This advantage occurs even though the experiences or perspectives of the individuals participating in the research can vary substantially from person-to-person. The goal of this work is not to apply the information to the general public, but to understand how specific demographics react in situations where there are challenges to face. It is a process which allows for product development to occur because the pain points of the population have been identified.

3. Qualitative research focuses on the details of personal choice. The qualitative research process looks at the purpose of the decision that an individual makes as the primary information requiring collection. It does not take a look at the reasons why someone would decide to make the choices that they do in the first place. Other research methods preferred to look at the behavior, but this method wants to know the entire story behind each individual choice so that the entire population or society can benefit from the process.

4. Qualitative research uses fluid operational structures. The qualitative research process relies on data gathering based on situations that researchers are watching and experiencing personally. Instead of relying on a specific framework to collect and preserve information under rigid guidelines, this process finds value in the human experience. This method makes it possible to include the intricacies of the human experience with the structures required to find conclusions that are useful to the demographics involved – and possible to the rest of society as well.

5. Qualitative research uses individual choices as workable data. When we have an understanding of why individual choices occurred, then we can benefit from the diversity that the human experience provides. Each unique perspective makes it possible for every other person to gather more knowledge about a situation because there are differences to examine. It is a process which allows us to discover more potential outcomes because there is more information present from a variety of sources. Researchers can then take the perspectives to create guidelines that others can follow if they find themselves stuck in a similar situation.

6. Qualitative research is an open-ended process. One of the most significant advantages of qualitative research is that it does not rely on specific deadlines, formats, or questions to create a successful outcome. This process allows researchers to ask open-ended questions whenever they feel it is appropriate because there may be more data to collect. There are not the same time elements involved in this process either, as qualitative research can continue indefinitely until those working on the project feel like there is nothing more to glean from the individuals participating.

Because of this unique structure, researchers can look for data points that other methods might overlook because a greater emphasis is often placed on the interview or observational process with firm deadlines.

7. Qualitative research works to remove bias from its collected information. Unconscious bias is a significant factor in every research project because it relies on the ability of the individuals involved to control their thoughts, emotions, and reactions. Everyone has preconceived notions and stereotypes about specific demographics and nationalities which can influence the data collected. No one is 100% immune to this process. The format of qualitative research allows for these judgments to be set aside because it prefers to look at the specific structures behind each choice of person makes.

This research method also collects information about the events which lead up to a specific decision instead of trying to examine what happens after the fact. That’s why this advantage allows the data to be more accurate compared to the other research methods which are in use.

8. Qualitative research provides specific insight development. The average person tends to make a choice based on comfort, convenience, or both. We also tend to move forward in our circumstances based on what we feel is comfortable to our spiritual, moral, or ethical stances. Every form of communication that we use becomes a potential foundation for researchers to understand the demographics of humanity in better ways. By looking at the problems we face in everyday situations, it becomes possible to discover new insights that can help us to solve do you need problems which can come up. It is a way for researchers to understand the context of what happens in society instead of only looking at the outcomes.

9. Qualitative research requires a smaller sample size. Qualitative research studies wrap up faster that other methods because a smaller sample size is possible for data collection with this method. Participants can answer questions immediately, creating usable and actionable information that can lead to new ideas. This advantage makes it possible to move forward with confidence in future choices because there is added predictability to the results which are possible.

10. Qualitative research provides more useful content. Authenticity is highly demanded in today’s world because there is no better way to understand who we are as an individual, a community, or a society. Qualitative research works hard to understand the core concepts of how each participant defines themselves without the influence of outside perspectives. It wants to see how people structure their lives, and then take that data to help solve whatever problems they might have. Although no research method can provide guaranteed results, there is always some type of actionable information present with this approach.

List of the Cons of Qualitative Research

1. Qualitative research creates subjective information points. The quality of the information collected using the qualitative research process can sometimes be questionable. This approach requires the researchers to connect all of the data points which they gather to find the answers to their questions. That means the results are dependent upon the skills of those involved to read the non-verbal cues of each participate, understand when and where follow-up questions are necessary, and remember to document each response. Because individuals can interpret this data in many different ways, there can sometimes be differences in the conclusion because each researcher has a different take on what they receive.

2. Qualitative research can involve significant levels of repetition. Although the smaller sample sizes found in qualitative research can be an advantage, this structure can also be a problem when researchers are trying to collect a complete data profile for a specific demographic. Multiple interviews and discovery sessions become necessary to discover what the potential consequences of a future choice will be. When you only bring in a handful of people to discuss a situation, then these individuals may not offer a complete representation of the group being studied. Without multiple follow-up sessions with other participants, there is no way to prove the authenticity of the information collected.

3. Qualitative research is difficult to replicate. The only way that research can turn into fact is through a process of replication. Other researchers must be able to come to the similar conclusions after the initial project publishers the results. Because the nature of this work is subjective, finding opportunities to duplicate the results are quite rare. The scope of information which a project collects is often limited, which means there is always some doubt found in the data. That is why you will often see a margin of error percentage associated with research that uses this method. Because it never involves every potential member of a demographic, it will always be incomplete.

4. Qualitative research relies on the knowledge of the researchers. The only reason why opportunities are available in the first place when using qualitative research is because there are researchers involved which have expertise that relates to the subject matter being studied. When interviewers are unfamiliar with industry concepts, then it is much more challenging to identify follow-up opportunities that would be if the individual conducting the session was familiar with the ideas under discussion. There is no way to correctly interpret the data if the perspective of the researcher is skewed by a lack of knowledge.

5. Qualitative research does not offer statistics. The goal of qualitative research is to seek out moments of commonality. That means you will not find statistical data within the results. It looks to find specific areas of concern or pain points that are usable to the organization funding to research in the first place. The amount of data collected using this process can be extreme, but there is no guarantee that it will ever be usable. You do not have the same opportunities to compare information as you would with other research methods.

6. Qualitative research still requires a significant time investment. It is true that there are times when the qualitative research process is significantly faster than other methods. There is also the disadvantage in the fact that the amount of time necessary to collect accurate data can be unpredictable using this option. It may take months, years, or even decades to complete a research project if there is a massive amount of data to review. That means the researchers involve must make a long-term commitment to the process to ensure the results can be as accurate as possible.

These qualitative research pros and cons review how all of us come to the choices that we make each day. When researchers understand why we come to specific conclusions, then it becomes possible to create new goods and services that can make our lives easier. This process then concludes with solutions which can benefit a significant majority of the people, leading to better best practices in the future.

Qualitative Research: Characteristics, Design, Methods & Examples

Lauren McCall

MSc Health Psychology Graduate

MSc, Health Psychology, University of Nottingham

Lauren obtained an MSc in Health Psychology from The University of Nottingham with a distinction classification.

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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.

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

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

On This Page:

Qualitative research is a type of research methodology that focuses on gathering and analyzing non-numerical data to gain a deeper understanding of human behavior, experiences, and perspectives.

It aims to explore the “why” and “how” of a phenomenon rather than the “what,” “where,” and “when” typically addressed by quantitative research.

Unlike quantitative research, which focuses on gathering and analyzing numerical data for statistical analysis, qualitative research involves researchers interpreting data to identify themes, patterns, and meanings.

Qualitative research can be used to:

• Gain deep contextual understandings of the subjective social reality of individuals
• To answer questions about experience and meaning from the participant’s perspective
• To design hypotheses, theory must be researched using qualitative methods to determine what is important before research can begin. 

Examples of qualitative research questions include: 

• How does stress influence young adults’ behavior?
• What factors influence students’ school attendance rates in developed countries?
• How do adults interpret binge drinking in the UK?
• What are the psychological impacts of cervical cancer screening in women?
• How can mental health lessons be integrated into the school curriculum? 

Characteristics 

Naturalistic setting.

Individuals are studied in their natural setting to gain a deeper understanding of how people experience the world. This enables the researcher to understand a phenomenon close to how participants experience it. 

Naturalistic settings provide valuable contextual information to help researchers better understand and interpret the data they collect.

The environment, social interactions, and cultural factors can all influence behavior and experiences, and these elements are more easily observed in real-world settings.

Reality is socially constructed

Qualitative research aims to understand how participants make meaning of their experiences – individually or in social contexts. It assumes there is no objective reality and that the social world is interpreted (Yilmaz, 2013). 

The primacy of subject matter 

The primary aim of qualitative research is to understand the perspectives, experiences, and beliefs of individuals who have experienced the phenomenon selected for research rather than the average experiences of groups of people (Minichiello, 1990).

An in-depth understanding is attained since qualitative techniques allow participants to freely disclose their experiences, thoughts, and feelings without constraint (Tenny et al., 2022). 

Variables are complex, interwoven, and difficult to measure

Factors such as experiences, behaviors, and attitudes are complex and interwoven, so they cannot be reduced to isolated variables , making them difficult to measure quantitatively.

However, a qualitative approach enables participants to describe what, why, or how they were thinking/ feeling during a phenomenon being studied (Yilmaz, 2013). 

Emic (insider’s point of view)

The phenomenon being studied is centered on the participants’ point of view (Minichiello, 1990).

Emic is used to describe how participants interact, communicate, and behave in the research setting (Scarduzio, 2017).

Interpretive analysis

In qualitative research, interpretive analysis is crucial in making sense of the collected data.

This process involves examining the raw data, such as interview transcripts, field notes, or documents, and identifying the underlying themes, patterns, and meanings that emerge from the participants’ experiences and perspectives.

Collecting Qualitative Data

There are four main research design methods used to collect qualitative data: observations, interviews,  focus groups, and ethnography.

Observations

This method involves watching and recording phenomena as they occur in nature. Observation can be divided into two types: participant and non-participant observation.

In participant observation, the researcher actively participates in the situation/events being observed.

In non-participant observation, the researcher is not an active part of the observation and tries not to influence the behaviors they are observing (Busetto et al., 2020). 

Observations can be covert (participants are unaware that a researcher is observing them) or overt (participants are aware of the researcher’s presence and know they are being observed).

However, awareness of an observer’s presence may influence participants’ behavior. 

Interviews give researchers a window into the world of a participant by seeking their account of an event, situation, or phenomenon. They are usually conducted on a one-to-one basis and can be distinguished according to the level at which they are structured (Punch, 2013). 

Structured interviews involve predetermined questions and sequences to ensure replicability and comparability. However, they are unable to explore emerging issues.

Informal interviews consist of spontaneous, casual conversations which are closer to the truth of a phenomenon. However, information is gathered using quick notes made by the researcher and is therefore subject to recall bias. 

Semi-structured interviews have a flexible structure, phrasing, and placement so emerging issues can be explored (Denny & Weckesser, 2022).

The use of probing questions and clarification can lead to a detailed understanding, but semi-structured interviews can be time-consuming and subject to interviewer bias. 

Focus groups 

Similar to interviews, focus groups elicit a rich and detailed account of an experience. However, focus groups are more dynamic since participants with shared characteristics construct this account together (Denny & Weckesser, 2022).

A shared narrative is built between participants to capture a group experience shaped by a shared context. 

The researcher takes on the role of a moderator, who will establish ground rules and guide the discussion by following a topic guide to focus the group discussions.

Typically, focus groups have 4-10 participants as a discussion can be difficult to facilitate with more than this, and this number allows everyone the time to speak.

Ethnography

Ethnography is a methodology used to study a group of people’s behaviors and social interactions in their environment (Reeves et al., 2008).

Data are collected using methods such as observations, field notes, or structured/ unstructured interviews.

The aim of ethnography is to provide detailed, holistic insights into people’s behavior and perspectives within their natural setting. In order to achieve this, researchers immerse themselves in a community or organization. 

Due to the flexibility and real-world focus of ethnography, researchers are able to gather an in-depth, nuanced understanding of people’s experiences, knowledge and perspectives that are influenced by culture and society.

In order to develop a representative picture of a particular culture/ context, researchers must conduct extensive field work. 

This can be time-consuming as researchers may need to immerse themselves into a community/ culture for a few days, or possibly a few years.

Qualitative Data Analysis Methods

Different methods can be used for analyzing qualitative data. The researcher chooses based on the objectives of their study. 

The researcher plays a key role in the interpretation of data, making decisions about the coding, theming, decontextualizing, and recontextualizing of data (Starks & Trinidad, 2007). 

Grounded theory

Grounded theory is a qualitative method specifically designed to inductively generate theory from data. It was developed by Glaser and Strauss in 1967 (Glaser & Strauss, 2017).

This methodology aims to develop theories (rather than test hypotheses) that explain a social process, action, or interaction (Petty et al., 2012). To inform the developing theory, data collection and analysis run simultaneously. 

There are three key types of coding used in grounded theory: initial (open), intermediate (axial), and advanced (selective) coding. 

Throughout the analysis, memos should be created to document methodological and theoretical ideas about the data. Data should be collected and analyzed until data saturation is reached and a theory is developed. 

Content analysis

Content analysis was first used in the early twentieth century to analyze textual materials such as newspapers and political speeches.

Content analysis is a research method used to identify and analyze the presence and patterns of themes, concepts, or words in data (Vaismoradi et al., 2013). 

This research method can be used to analyze data in different formats, which can be written, oral, or visual. 

The goal of content analysis is to develop themes that capture the underlying meanings of data (Schreier, 2012). 

Qualitative content analysis can be used to validate existing theories, support the development of new models and theories, and provide in-depth descriptions of particular settings or experiences.

The following six steps provide a guideline for how to conduct qualitative content analysis.

• Define a Research Question : To start content analysis, a clear research question should be developed.
• Identify and Collect Data : Establish the inclusion criteria for your data. Find the relevant sources to analyze.
• Define the Unit or Theme of Analysis : Categorize the content into themes. Themes can be a word, phrase, or sentence.
• Develop Rules for Coding your Data : Define a set of coding rules to ensure that all data are coded consistently.
• Code the Data : Follow the coding rules to categorize data into themes.
• Analyze the Results and Draw Conclusions : Examine the data to identify patterns and draw conclusions in relation to your research question.

Discourse analysis

Discourse analysis is a research method used to study written/ spoken language in relation to its social context (Wood & Kroger, 2000).

In discourse analysis, the researcher interprets details of language materials and the context in which it is situated.

Discourse analysis aims to understand the functions of language (how language is used in real life) and how meaning is conveyed by language in different contexts. Researchers use discourse analysis to investigate social groups and how language is used to achieve specific communication goals.

Different methods of discourse analysis can be used depending on the aims and objectives of a study. However, the following steps provide a guideline on how to conduct discourse analysis.

• Define the Research Question : Develop a relevant research question to frame the analysis.
• Gather Data and Establish the Context : Collect research materials (e.g., interview transcripts, documents). Gather factual details and review the literature to construct a theory about the social and historical context of your study.
• Analyze the Content : Closely examine various components of the text, such as the vocabulary, sentences, paragraphs, and structure of the text. Identify patterns relevant to the research question to create codes, then group these into themes.
• Review the Results : Reflect on the findings to examine the function of the language, and the meaning and context of the discourse. 

Thematic analysis

Thematic analysis is a method used to identify, interpret, and report patterns in data, such as commonalities or contrasts. 

Although the origin of thematic analysis can be traced back to the early twentieth century, understanding and clarity of thematic analysis is attributed to Braun and Clarke (2006).

Thematic analysis aims to develop themes (patterns of meaning) across a dataset to address a research question. 

In thematic analysis, qualitative data is gathered using techniques such as interviews, focus groups, and questionnaires. Audio recordings are transcribed. The dataset is then explored and interpreted by a researcher to identify patterns. 

This occurs through the rigorous process of data familiarisation, coding, theme development, and revision. These identified patterns provide a summary of the dataset and can be used to address a research question.

Themes are developed by exploring the implicit and explicit meanings within the data. Two different approaches are used to generate themes: inductive and deductive. 

An inductive approach allows themes to emerge from the data. In contrast, a deductive approach uses existing theories or knowledge to apply preconceived ideas to the data.

Phases of Thematic Analysis

Braun and Clarke (2006) provide a guide of the six phases of thematic analysis. These phases can be applied flexibly to fit research questions and data. 

Template analysis

Template analysis refers to a specific method of thematic analysis which uses hierarchical coding (Brooks et al., 2014).

Template analysis is used to analyze textual data, for example, interview transcripts or open-ended responses on a written questionnaire.

To conduct template analysis, a coding template must be developed (usually from a subset of the data) and subsequently revised and refined. This template represents the themes identified by researchers as important in the dataset. 

Codes are ordered hierarchically within the template, with the highest-level codes demonstrating overarching themes in the data and lower-level codes representing constituent themes with a narrower focus.

A guideline for the main procedural steps for conducting template analysis is outlined below.

• Familiarization with the Data : Read (and reread) the dataset in full. Engage, reflect, and take notes on data that may be relevant to the research question.
• Preliminary Coding : Identify initial codes using guidance from the a priori codes, identified before the analysis as likely to be beneficial and relevant to the analysis.
• Organize Themes : Organize themes into meaningful clusters. Consider the relationships between the themes both within and between clusters.
• Produce an Initial Template : Develop an initial template. This may be based on a subset of the data.
• Apply and Develop the Template : Apply the initial template to further data and make any necessary modifications. Refinements of the template may include adding themes, removing themes, or changing the scope/title of themes. 
• Finalize Template : Finalize the template, then apply it to the entire dataset. 

Frame analysis

Frame analysis is a comparative form of thematic analysis which systematically analyzes data using a matrix output.

Ritchie and Spencer (1994) developed this set of techniques to analyze qualitative data in applied policy research. Frame analysis aims to generate theory from data.

Frame analysis encourages researchers to organize and manage their data using summarization.

This results in a flexible and unique matrix output, in which individual participants (or cases) are represented by rows and themes are represented by columns. 

Each intersecting cell is used to summarize findings relating to the corresponding participant and theme.

Frame analysis has five distinct phases which are interrelated, forming a methodical and rigorous framework.

• Familiarization with the Data : Familiarize yourself with all the transcripts. Immerse yourself in the details of each transcript and start to note recurring themes.
• Develop a Theoretical Framework : Identify recurrent/ important themes and add them to a chart. Provide a framework/ structure for the analysis.
• Indexing : Apply the framework systematically to the entire study data.
• Summarize Data in Analytical Framework : Reduce the data into brief summaries of participants’ accounts.
• Mapping and Interpretation : Compare themes and subthemes and check against the original transcripts. Group the data into categories and provide an explanation for them.

Preventing Bias in Qualitative Research

To evaluate qualitative studies, the CASP (Critical Appraisal Skills Programme) checklist for qualitative studies can be used to ensure all aspects of a study have been considered (CASP, 2018).

The quality of research can be enhanced and assessed using criteria such as checklists, reflexivity, co-coding, and member-checking. 

Co-coding 

Relying on only one researcher to interpret rich and complex data may risk key insights and alternative viewpoints being missed. Therefore, coding is often performed by multiple researchers.

A common strategy must be defined at the beginning of the coding process  (Busetto et al., 2020). This includes establishing a useful coding list and finding a common definition of individual codes.

Transcripts are initially coded independently by researchers and then compared and consolidated to minimize error or bias and to bring confirmation of findings. 

Member checking

Member checking (or respondent validation) involves checking back with participants to see if the research resonates with their experiences (Russell & Gregory, 2003).

Data can be returned to participants after data collection or when results are first available. For example, participants may be provided with their interview transcript and asked to verify whether this is a complete and accurate representation of their views.

Participants may then clarify or elaborate on their responses to ensure they align with their views (Shenton, 2004).

This feedback becomes part of data collection and ensures accurate descriptions/ interpretations of phenomena (Mays & Pope, 2000). 

Reflexivity in qualitative research

Reflexivity typically involves examining your own judgments, practices, and belief systems during data collection and analysis. It aims to identify any personal beliefs which may affect the research. 

Reflexivity is essential in qualitative research to ensure methodological transparency and complete reporting. This enables readers to understand how the interaction between the researcher and participant shapes the data.

Depending on the research question and population being researched, factors that need to be considered include the experience of the researcher, how the contact was established and maintained, age, gender, and ethnicity.

These details are important because, in qualitative research, the researcher is a dynamic part of the research process and actively influences the outcome of the research (Boeije, 2014). 

Reflexivity Example

Who you are and your characteristics influence how you collect and analyze data. Here is an example of a reflexivity statement for research on smoking. I am a 30-year-old white female from a middle-class background. I live in the southwest of England and have been educated to master’s level. I have been involved in two research projects on oral health. I have never smoked, but I have witnessed how smoking can cause ill health from my volunteering in a smoking cessation clinic. My research aspirations are to help to develop interventions to help smokers quit.

Establishing Trustworthiness in Qualitative Research

Trustworthiness is a concept used to assess the quality and rigor of qualitative research. Four criteria are used to assess a study’s trustworthiness: credibility, transferability, dependability, and confirmability.

1. Credibility in Qualitative Research

Credibility refers to how accurately the results represent the reality and viewpoints of the participants.

To establish credibility in research, participants’ views and the researcher’s representation of their views need to align (Tobin & Begley, 2004).

To increase the credibility of findings, researchers may use data source triangulation, investigator triangulation, peer debriefing, or member checking (Lincoln & Guba, 1985). 

2. Transferability in Qualitative Research

Transferability refers to how generalizable the findings are: whether the findings may be applied to another context, setting, or group (Tobin & Begley, 2004).

Transferability can be enhanced by giving thorough and in-depth descriptions of the research setting, sample, and methods (Nowell et al., 2017). 

3. Dependability in Qualitative Research

Dependability is the extent to which the study could be replicated under similar conditions and the findings would be consistent.

Researchers can establish dependability using methods such as audit trails so readers can see the research process is logical and traceable (Koch, 1994).

4. Confirmability in Qualitative Research

Confirmability is concerned with establishing that there is a clear link between the researcher’s interpretations/ findings and the data.

Researchers can achieve confirmability by demonstrating how conclusions and interpretations were arrived at (Nowell et al., 2017).

This enables readers to understand the reasoning behind the decisions made. 

Audit Trails in Qualitative Research

An audit trail provides evidence of the decisions made by the researcher regarding theory, research design, and data collection, as well as the steps they have chosen to manage, analyze, and report data. 

The researcher must provide a clear rationale to demonstrate how conclusions were reached in their study.

A clear description of the research path must be provided to enable readers to trace through the researcher’s logic (Halpren, 1983).

Researchers should maintain records of the raw data, field notes, transcripts, and a reflective journal in order to provide a clear audit trail. 

Discovery of unexpected data

Open-ended questions in qualitative research mean the researcher can probe an interview topic and enable the participant to elaborate on responses in an unrestricted manner.

This allows unexpected data to emerge, which can lead to further research into that topic. 

The exploratory nature of qualitative research helps generate hypotheses that can be tested quantitatively (Busetto et al., 2020).

Flexibility

Data collection and analysis can be modified and adapted to take the research in a different direction if new ideas or patterns emerge in the data.

This enables researchers to investigate new opportunities while firmly maintaining their research goals. 

Naturalistic settings

The behaviors of participants are recorded in real-world settings. Studies that use real-world settings have high ecological validity since participants behave more authentically. 

Limitations

Time-consuming .

Qualitative research results in large amounts of data which often need to be transcribed and analyzed manually.

Even when software is used, transcription can be inaccurate, and using software for analysis can result in many codes which need to be condensed into themes. 

Subjectivity 

The researcher has an integral role in collecting and interpreting qualitative data. Therefore, the conclusions reached are from their perspective and experience.

Consequently, interpretations of data from another researcher may vary greatly. 

Limited generalizability

The aim of qualitative research is to provide a detailed, contextualized understanding of an aspect of the human experience from a relatively small sample size.

Despite rigorous analysis procedures, conclusions drawn cannot be generalized to the wider population since data may be biased or unrepresentative.

Therefore, results are only applicable to a small group of the population. 

While individual qualitative studies are often limited in their generalizability due to factors such as sample size and context, metasynthesis enables researchers to synthesize findings from multiple studies, potentially leading to more generalizable conclusions.

By integrating findings from studies conducted in diverse settings and with different populations, metasynthesis can provide broader insights into the phenomenon of interest.

Extraneous variables

Qualitative research is often conducted in real-world settings. This may cause results to be unreliable since extraneous variables may affect the data, for example:

• Situational variables : different environmental conditions may influence participants’ behavior in a study. The random variation in factors (such as noise or lighting) may be difficult to control in real-world settings.
• Participant characteristics : this includes any characteristics that may influence how a participant answers/ behaves in a study. This may include a participant’s mood, gender, age, ethnicity, sexual identity, IQ, etc.
• Experimenter effect : experimenter effect refers to how a researcher’s unintentional influence can change the outcome of a study. This occurs when (i) their interactions with participants unintentionally change participants’ behaviors or (ii) due to errors in observation, interpretation, or analysis. 

What sample size should qualitative research be?

The sample size for qualitative studies has been recommended to include a minimum of 12 participants to reach data saturation (Braun, 2013).

Are surveys qualitative or quantitative?

Surveys can be used to gather information from a sample qualitatively or quantitatively. Qualitative surveys use open-ended questions to gather detailed information from a large sample using free text responses.

The use of open-ended questions allows for unrestricted responses where participants use their own words, enabling the collection of more in-depth information than closed-ended questions.

In contrast, quantitative surveys consist of closed-ended questions with multiple-choice answer options. Quantitative surveys are ideal to gather a statistical representation of a population.

What are the ethical considerations of qualitative research?

Before conducting a study, you must think about any risks that could occur and take steps to prevent them. Participant Protection : Researchers must protect participants from physical and mental harm. This means you must not embarrass, frighten, offend, or harm participants. Transparency : Researchers are obligated to clearly communicate how they will collect, store, analyze, use, and share the data. Confidentiality : You need to consider how to maintain the confidentiality and anonymity of participants’ data.

What is triangulation in qualitative research?

Triangulation refers to the use of several approaches in a study to comprehensively understand phenomena. This method helps to increase the validity and credibility of research findings. 

Types of triangulation include method triangulation (using multiple methods to gather data); investigator triangulation (multiple researchers for collecting/ analyzing data), theory triangulation (comparing several theoretical perspectives to explain a phenomenon), and data source triangulation (using data from various times, locations, and people; Carter et al., 2014).

Why is qualitative research important?

Qualitative research allows researchers to describe and explain the social world. The exploratory nature of qualitative research helps to generate hypotheses that can then be tested quantitatively.

In qualitative research, participants are able to express their thoughts, experiences, and feelings without constraint.

Additionally, researchers are able to follow up on participants’ answers in real-time, generating valuable discussion around a topic. This enables researchers to gain a nuanced understanding of phenomena which is difficult to attain using quantitative methods.

What is coding data in qualitative research?

Coding data is a qualitative data analysis strategy in which a section of text is assigned with a label that describes its content.

These labels may be words or phrases which represent important (and recurring) patterns in the data.

This process enables researchers to identify related content across the dataset. Codes can then be used to group similar types of data to generate themes.

What is the difference between qualitative and quantitative research?

Qualitative research involves the collection and analysis of non-numerical data in order to understand experiences and meanings from the participant’s perspective.

This can provide rich, in-depth insights on complicated phenomena. Qualitative data may be collected using interviews, focus groups, or observations.

In contrast, quantitative research involves the collection and analysis of numerical data to measure the frequency, magnitude, or relationships of variables. This can provide objective and reliable evidence that can be generalized to the wider population.

Quantitative data may be collected using closed-ended questionnaires or experiments.

What is trustworthiness in qualitative research?

Trustworthiness is a concept used to assess the quality and rigor of qualitative research. Four criteria are used to assess a study’s trustworthiness: credibility, transferability, dependability, and confirmability. 

Credibility refers to how accurately the results represent the reality and viewpoints of the participants. Transferability refers to whether the findings may be applied to another context, setting, or group.

Dependability is the extent to which the findings are consistent and reliable. Confirmability refers to the objectivity of findings (not influenced by the bias or assumptions of researchers).

What is data saturation in qualitative research?

Data saturation is a methodological principle used to guide the sample size of a qualitative research study.

Data saturation is proposed as a necessary methodological component in qualitative research (Saunders et al., 2018) as it is a vital criterion for discontinuing data collection and/or analysis. 

The intention of data saturation is to find “no new data, no new themes, no new coding, and ability to replicate the study” (Guest et al., 2006). Therefore, enough data has been gathered to make conclusions.

Why is sampling in qualitative research important?

In quantitative research, large sample sizes are used to provide statistically significant quantitative estimates.

This is because quantitative research aims to provide generalizable conclusions that represent populations.

However, the aim of sampling in qualitative research is to gather data that will help the researcher understand the depth, complexity, variation, or context of a phenomenon. The small sample sizes in qualitative studies support the depth of case-oriented analysis.

What is narrative analysis?

Narrative analysis is a qualitative research method used to understand how individuals create stories from their personal experiences.

There is an emphasis on understanding the context in which a narrative is constructed, recognizing the influence of historical, cultural, and social factors on storytelling.

Researchers can use different methods together to explore a research question.

Some narrative researchers focus on the content of what is said, using thematic narrative analysis, while others focus on the structure, such as holistic-form or categorical-form structural narrative analysis. Others focus on how the narrative is produced and performed.

Boeije, H. (2014). Analysis in qualitative research. Sage.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology , 3 (2), 77-101. https://doi.org/10.1191/1478088706qp063oa

Brooks, J., McCluskey, S., Turley, E., & King, N. (2014). The utility of template analysis in qualitative psychology research. Qualitative Research in Psychology , 12 (2), 202–222. https://doi.org/10.1080/14780887.2014.955224

Busetto, L., Wick, W., & Gumbinger, C. (2020). How to use and assess qualitative research methods. Neurological research and practice , 2 (1), 14-14. https://doi.org/10.1186/s42466-020-00059-z 

Carter, N., Bryant-Lukosius, D., DiCenso, A., Blythe, J., & Neville, A. J. (2014). The use of triangulation in qualitative research. Oncology nursing forum , 41 (5), 545–547. https://doi.org/10.1188/14.ONF.545-547

Critical Appraisal Skills Programme. (2018). CASP Checklist: 10 questions to help you make sense of a Qualitative research. https://casp-uk.net/images/checklist/documents/CASP-Qualitative-Studies-Checklist/CASP-Qualitative-Checklist-2018_fillable_form.pdf Accessed: March 15 2023

Clarke, V., & Braun, V. (2013). Successful qualitative research: A practical guide for beginners. Successful Qualitative Research , 1-400.

Denny, E., & Weckesser, A. (2022). How to do qualitative research?: Qualitative research methods. BJOG : an international journal of obstetrics and gynaecology , 129 (7), 1166-1167. https://doi.org/10.1111/1471-0528.17150 

Glaser, B. G., & Strauss, A. L. (2017). The discovery of grounded theory. The Discovery of Grounded Theory , 1–18. https://doi.org/10.4324/9780203793206-1

Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18 (1), 59-82. doi:10.1177/1525822X05279903

Halpren, E. S. (1983). Auditing naturalistic inquiries: The development and application of a model (Unpublished doctoral dissertation). Indiana University, Bloomington.

Hammarberg, K., Kirkman, M., & de Lacey, S. (2016). Qualitative research methods: When to use them and how to judge them. Human Reproduction , 31 (3), 498–501. https://doi.org/10.1093/humrep/dev334

Koch, T. (1994). Establishing rigour in qualitative research: The decision trail. Journal of Advanced Nursing, 19, 976–986. doi:10.1111/ j.1365-2648.1994.tb01177.x

Lincoln, Y., & Guba, E. G. (1985). Naturalistic inquiry. Newbury Park, CA: Sage.

Mays, N., & Pope, C. (2000). Assessing quality in qualitative research. BMJ, 320(7226), 50–52.

Minichiello, V. (1990). In-Depth Interviewing: Researching People. Longman Cheshire.

Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic Analysis: Striving to Meet the Trustworthiness Criteria. International Journal of Qualitative Methods, 16 (1). https://doi.org/10.1177/1609406917733847

Petty, N. J., Thomson, O. P., & Stew, G. (2012). Ready for a paradigm shift? part 2: Introducing qualitative research methodologies and methods. Manual Therapy , 17 (5), 378–384. https://doi.org/10.1016/j.math.2012.03.004

Punch, K. F. (2013). Introduction to social research: Quantitative and qualitative approaches. London: Sage

Reeves, S., Kuper, A., & Hodges, B. D. (2008). Qualitative research methodologies: Ethnography. BMJ , 337 (aug07 3). https://doi.org/10.1136/bmj.a1020

Russell, C. K., & Gregory, D. M. (2003). Evaluation of qualitative research studies. Evidence Based Nursing, 6 (2), 36–40.

Saunders, B., Sim, J., Kingstone, T., Baker, S., Waterfield, J., Bartlam, B., Burroughs, H., & Jinks, C. (2018). Saturation in qualitative research: exploring its conceptualization and operationalization. Quality & quantity , 52 (4), 1893–1907. https://doi.org/10.1007/s11135-017-0574-8

Scarduzio, J. A. (2017). Emic approach to qualitative research. The International Encyclopedia of Communication Research Methods, 1–2 . https://doi.org/10.1002/9781118901731.iecrm0082

Schreier, M. (2012). Qualitative content analysis in practice / Margrit Schreier.

Shenton, A. K. (2004). Strategies for ensuring trustworthiness in qualitative research projects. Education for Information, 22 , 63–75.

Starks, H., & Trinidad, S. B. (2007). Choose your method: a comparison of phenomenology, discourse analysis, and grounded theory. Qualitative health research , 17 (10), 1372–1380. https://doi.org/10.1177/1049732307307031

Tenny, S., Brannan, J. M., & Brannan, G. D. (2022). Qualitative Study. In StatPearls. StatPearls Publishing.

Tobin, G. A., & Begley, C. M. (2004). Methodological rigour within a qualitative framework. Journal of Advanced Nursing, 48, 388–396. doi:10.1111/j.1365-2648.2004.03207.x

Vaismoradi, M., Turunen, H., & Bondas, T. (2013). Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nursing & health sciences , 15 (3), 398-405. https://doi.org/10.1111/nhs.12048

Wood L. A., Kroger R. O. (2000). Doing discourse analysis: Methods for studying action in talk and text. Sage.

Yilmaz, K. (2013). Comparison of Quantitative and Qualitative Research Traditions: epistemological, theoretical, and methodological differences. European journal of education , 48 (2), 311-325. https://doi.org/10.1111/ejed.12014

The Ultimate Guide to Qualitative Research - Part 1: The Basics

• Introduction and overview

Basics of qualitative research

Types, aspects, examples, benefits and challenges, how qualitative research complements quantitative research, how is qualitative research reported.

• What is qualitative data?
• Examples of qualitative data
• Qualitative vs. quantitative research
• Mixed methods
• Qualitative research preparation
• Theoretical perspective
• Theoretical framework
• Literature reviews
• Research question
• Conceptual framework
• Conceptual vs. theoretical framework
• Data collection
• Qualitative research methods
• Focus groups
• Observational research
• Case studies
• Ethnographical research

Ethical considerations

• Confidentiality and privacy
• Power dynamics
• Reflexivity

What is qualitative research?

Qualitative research is an essential approach in various academic disciplines and professional fields, as it seeks to understand and interpret the meanings, experiences, and social realities of people in their natural settings. This type of research employs an array of qualitative methods to gather and analyze non-numerical data, such as words, images, and behaviors, and aims to generate in-depth and contextualized insights into the phenomena under study.

Qualitative research is designed to address research questions that focus on understanding the "why" and "how" of human behavior, experiences, and interactions, rather than just the "what" or "how many" that quantitative methods typically seek to answer. The main purpose of qualitative research is to gain a rich and nuanced understanding of people's perspectives, emotions, beliefs, and motivations in relation to specific issues, situations, or phenomena.

Characteristics of qualitative research

Several key characteristics distinguish qualitative research from other types of research, such as quantitative research:

Naturalistic settings : Qualitative researchers collect data in the real-world settings where the phenomena of interest occur, rather than in controlled laboratory environments. This allows researchers to observe and understand the participants' behavior, experiences, and social interactions in their natural context.

Inductive approach : Unlike quantitative research, which often follows a deductive approach , qualitative research begins with the collection of data and then seeks to develop theories, concepts, or themes that emerge from the data. This inductive approach enables researchers to stay open to new insights and unexpected findings.

Holistic perspective : Qualitative research aims to provide a comprehensive understanding of the phenomena under study by considering multiple dimensions, such as the social, cultural, historical, and psychological aspects that shape people's experiences and behavior.

Subjectivity and interpretation : Epistemology plays a crucial role in qualitative research. Researchers are encouraged to reflect on their biases, assumptions, and values , and to consider how these may influence their data collection, analysis, and interpretation.

Flexibility : Qualitative research methods are often flexible and adaptable, allowing researchers to refine their research questions , sampling strategies, or data collection techniques as new insights and perspectives emerge during the research process.

Key principles of qualitative research

Qualitative research is guided by several fundamental principles that shape its approach, methods, and analysis:

Empathy and reflexivity : Qualitative researchers strive to empathize with the participants and to understand their perspectives, experiences, and emotions from their viewpoint. This requires researchers to be attentive, open-minded, and sensitive to the participants' verbal and non-verbal cues. At the same, qualitative researchers critically reflect on their participants’ perspectives, experiences, and emotions to develop their findings and conclusions, instead of taking these at face value. In addition, it is important for the researcher to reflect on how their own role and viewpoint may be shaping the research.

Trustworthiness : Establishing trustworthiness in qualitative research involves demonstrating credibility, transferability, dependability, and confirmability. Researchers can enhance trustworthiness by using various strategies, such as triangulation, member checking , peer debriefing , and reflexivity .

Iterative analysis : Qualitative data analysis is an ongoing and iterative process, in which researchers continually review, compare, and revise their interpretations as they collect and analyze more data. This iterative process allows researchers to refine their understanding of the phenomena and to develop more robust and nuanced theories, concepts, or themes.

Rich description : Providing detailed, vivid, and context-sensitive descriptions of the data is essential in qualitative research. Rich descriptions help convey the complexity and nuances of the phenomena under study, and enable readers to assess the relevance and transferability of the findings to other settings or populations.

What are the common types of qualitative research?

Qualitative research is an umbrella term for various methodologies that focus on understanding and interpreting human experiences, behaviors, and social phenomena within their context. These approaches seek to gather in-depth, rich data through the analysis of language, actions, and expressions. Five common types of qualitative research are narrative research , phenomenology , grounded theory , ethnography , and case study .

Narrative research : This approach focuses on the stories and experiences of individuals, aiming to understand their lives and personal perspectives. Researchers can collect data through interviews, letters, diaries, or autobiographies, and analyze these narratives to identify recurring themes, patterns, and meanings . Narrative research can be valuable for exploring individual identities, cultural beliefs, and historical events.

Phenomenology : Phenomenology seeks to understand the essence of a particular phenomenon by analyzing the experiences and perceptions of individuals who have gone through that phenomenon . Researchers can explore participants' thoughts, feelings, and experiences through in-depth interviews, observations, or written materials. The goal is to describe the commonalities and variations in these experiences, ultimately revealing the underlying structures and meaning of the phenomenon under study.

Grounded theory : This inductive research method aims to generate new theories by systematically collecting and analyzing data. Researchers begin with an open-ended research question and gather data through observations, interviews, and document analysis . They then use a process of coding and constant comparison to identify patterns, categories, and relationships in the data. This iterative process continues until a comprehensive, grounded theory emerges that is based in the recollected data and explains the topic of interest.

Ethnography : Ethnographic research involves the in-depth study of a specific cultural or social group, focusing on understanding its members' behaviors, beliefs, and interactions. Researchers immerse themselves in the group's environment, often for extended periods, to observe and participate in daily activities. They can collect data through field notes, interviews, and document analysis, aiming to provide a holistic and nuanced understanding of the group's cultural practices and social dynamics.

Case study : A case study is an in-depth examination of a specific instance, event, organization, or individual within its real-life context. Researchers use multiple sources of data, such as interviews, observations, documents, and artifacts to build a rich, detailed understanding of the case. Case study research can be used to explore complex phenomena, generate new hypotheses , or evaluate the effectiveness of interventions or policies.

What are the purposes of qualitative research?

Qualitative research presents outcomes that emerge from the process of collecting and analyzing qualitative data. These outcomes often involve generating new theories, developing or challenging existing theories, and proposing practical implications based on actionable insights. The products of qualitative research contribute to a deeper understanding of human experiences, social phenomena, and cultural contexts. Qualitative research can also be a powerful complement to quantitative research.

Generating new theory : One of the primary goals of qualitative research is to develop new theories or conceptual frameworks that help explain previously unexplored or poorly understood phenomena. By conducting in-depth investigations and analyzing rich data, researchers can identify patterns, relationships, and underlying structures that form the basis of novel theoretical insights.

Developing or challenging existing theory : Qualitative research can also contribute to the refinement or expansion of existing theories by providing new perspectives, revealing previously unnoticed complexities, or highlighting areas where current theories may be insufficient or inaccurate. By examining the nuances and context-specific details of a phenomenon, researchers can generate evidence that supports, contradicts, or modifies existing theoretical frameworks .

Proposing practical implications : Qualitative research often yields actionable insights that can inform policy, practice, and intervention strategies. By delving into the lived experiences of individuals and communities, researchers can identify factors that contribute to or hinder the effectiveness of certain approaches, uncovering opportunities for improvement or innovation. The insights gained from qualitative research can be used to design targeted interventions, develop context-sensitive policies, or inform the professional practices of practitioners in various fields.

Enhancing understanding and empathy : Qualitative research promotes a deeper understanding of human experiences, emotions, and perspectives, fostering empathy and cultural sensitivity. By engaging with diverse voices and experiences, researchers can develop a more nuanced appreciation of the complexities of human behavior and social dynamics, ultimately contributing to more compassionate and inclusive societies.

Informing mixed-methods research : The products of qualitative research can also be used in conjunction with quantitative research, as part of a mixed-methods approach . Qualitative findings can help generate hypotheses for further testing, inform the development of survey instruments , or provide context and explanation for quantitative results. Combining the strengths of both approaches can lead to more robust and comprehensive understanding of complex research questions .

What are some examples of qualitative research?

Qualitative research can be conducted across various scientific fields, exploring diverse topics and phenomena. Here are six brief descriptions of qualitative studies that can provide researchers with ideas for their own projects:

Exploring the lived experiences of refugees : A phenomenological study could be conducted to investigate the lived experiences and coping strategies of refugees in a specific host country. By conducting in-depth interviews with refugees and analyzing their narratives , researchers can gain insights into the challenges they face, their resilience, and the factors that contribute to successful integration into their new communities.

Understanding the dynamics of online communities : An ethnographic study could be designed to explore the culture and social dynamics of a particular online community or social media platform. By immersing themselves in the virtual environment, researchers can observe patterns of interaction, communication styles, and shared values among community members, providing a nuanced understanding of the factors that influence online behavior and group dynamics.

Examining the impact of gentrification on local communities : A case study could be conducted to explore the impact of gentrification on a specific neighborhood or community. Researchers can collect data through interviews with residents, local business owners, and policymakers, as well as analyzing relevant documents and media coverage. The study can shed light on the effects of gentrification on housing affordability, social cohesion, and cultural identity, informing policy and urban planning decisions.

Studying the career trajectories of women in STEM fields : A narrative research project can be designed to investigate the career experiences and pathways of women in science, technology, engineering, and mathematics (STEM) fields. By collecting and analyzing the stories of women at various career stages, researchers can identify factors that contribute to their success, as well as barriers and challenges they face in male-dominated fields.

Evaluating the effectiveness of a mental health intervention : A qualitative study can be conducted to evaluate the effectiveness of a specific mental health intervention, such as a mindfulness-based program for reducing stress and anxiety. Researchers can gather data through interviews and focus groups with program participants, exploring their experiences, perceived benefits, and suggestions for improvement. The findings can provide valuable insights for refining the intervention and informing future mental health initiatives.

Investigating the role of social media in political activism : A qualitative study using document analysis and visual methods could explore the role of social media in shaping political activism and public opinion during a specific social movement or election campaign. By analyzing user-generated content, such as tweets, posts, images, and videos, researchers can examine patterns of communication, mobilization, and discourse, shedding light on the ways in which social media influences political engagement and democratic processes.

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What are common qualitative research methods?

Qualitative research methods are techniques used to collect, analyze, and interpret data in qualitative studies. These methods prioritize the exploration of meaning, context, and individual experiences. Common qualitative research methods include interviews, focus groups, observations, document analysis, and visual methods.

Interviews : Interviews involve one-on-one conversations between the researcher and the participant. They can be structured, semi-structured, or unstructured, depending on the level of guidance provided by the researcher. Interviews allow for in-depth exploration of participants' experiences, thoughts, and feelings, providing rich and detailed data for analysis.

Focus groups : Focus groups are group discussions facilitated by a researcher, usually consisting of 6-12 participants. They enable researchers to explore participants' collective perspectives, opinions, and experiences in a social setting. Focus groups can generate insights into group dynamics, cultural norms, and shared understandings, as participants interact and respond to each other's viewpoints.

Observations : Observational research involves the systematic collection of data through watching and recording people, events, or behaviors in their natural settings. Researchers can take on different roles, such as participant-observer or non-participant observer, depending on their level of involvement. Observations provide valuable information about context, social interactions, and non-verbal communication, which can help researchers understand the nuances of a particular phenomenon.

Document analysis : Document analysis is the examination of written or visual materials, such as letters, diaries, reports, newspaper articles, photographs, or videos. This method can provide insights into historical or cultural contexts, individual perspectives, and organizational processes. Researchers may use content analysis, discourse analysis, or other analytic techniques to interpret the meaning and significance of these documents.

Visual methods : Visual methods involve the use of visual materials, such as photographs, drawings, or videos, to explore and represent participants' experiences and perspectives. Techniques like photo elicitation, where participants are asked to take or select photographs related to the research topic and discuss their meaning, can encourage reflection and stimulate discussion. Visual methods can be particularly useful in capturing non-verbal information, promoting cross-cultural understanding, and engaging with hard-to-reach populations.

Importance of qualitative research and qualitative data analysis

Qualitative research and qualitative data analysis play a vital role in advancing knowledge, informing policies, and improving practices in various fields, such as education, healthcare, business, and social work. The unique insights and in-depth understanding generated through qualitative research can accomplish a number of goals.

Inform decision-making

Qualitative research helps decision-makers better understand the needs, preferences, and concerns of different stakeholders, such as customers, employees, or community members. This can lead to more effective and tailored policies, programs, or interventions that address real-world challenges.

Enhance innovation

By exploring people's experiences, motivations, and aspirations, qualitative research can uncover new ideas, opportunities, and trends that can drive innovation in products, services, or processes.

Foster empathy and cultural competence

Qualitative research can increase our empathy and understanding of diverse populations, cultures, and contexts. This can enhance our ability to communicate, collaborate, and work effectively with people from different backgrounds.

Complement quantitative research

Qualitative research can complement quantitative research by providing rich contextual information and in-depth insights into the underlying mechanisms, processes, or factors that may explain the patterns or relationships observed in quantitative data.

Facilitate social change

Qualitative research can give voice to marginalized or underrepresented groups, highlight social injustices or inequalities, and inspire actions and reforms that promote social change and well-being.

Challenges of conducting qualitative research

While qualitative research offers valuable insights and understanding of human experiences, it also presents some challenges that researchers must navigate. Acknowledging and addressing these challenges can help ensure the rigor, credibility, and relevance of qualitative research. In this section, we will discuss some common challenges that researchers may encounter when conducting qualitative research and offer suggestions on how to overcome them.

Subjectivity and bias

One of the primary challenges in qualitative research is managing subjectivity and potential biases that may arise from the researcher's personal beliefs, values, and experiences. Since qualitative research relies on the researcher's interpretation of the data , there is a risk that the researcher's subjectivity may influence the findings.

Researchers can minimize the impact of subjectivity and bias by maintaining reflexivity , or ongoing self-awareness and critical reflection on their role, assumptions, and influences in the research process. This may involve keeping a reflexive journal, engaging in peer debriefing , and discussing potential biases with research participants during member checking .

Data collection and quality

Collecting high-quality data in qualitative research can be challenging, particularly when dealing with sensitive topics , hard-to-reach populations, or complex social phenomena. Ensuring the trustworthiness of qualitative data collection is essential to producing credible and meaningful findings.

Researchers can enhance data quality by employing various strategies, such as purposive or theoretical sampling, triangulation of data sources, methods or researchers, and establishing rapport and trust with research participants.

Data analysis and interpretation

The analysis and interpretation of qualitative data can be a complex, time-consuming, and sometimes overwhelming process. Researchers must make sense of large amounts of diverse and unstructured data, while also ensuring the rigor, transparency, and consistency of their analysis.

Researchers can facilitate data analysis and interpretation by adopting systematic and well-established approaches, such as thematic analysis , grounded theory , or content analysis . Utilizing qualitative data analysis software , like ATLAS.ti, can also help manage and analyze data more efficiently and rigorously.

Qualitative research often involves exploring sensitive issues or working with vulnerable populations, which raises various ethical considerations , such as privacy, confidentiality , informed consent , and potential harm to participants.

Researchers should be familiar with the ethical guidelines and requirements of their discipline, institution, or funding agency, and should obtain ethical approval from relevant review boards or committees before conducting the research. Researchers should also maintain open communication with participants, respect their autonomy and dignity, and protect their well-being throughout the research process.

Generalizability and transferability

Qualitative research typically focuses on in-depth exploration of specific cases or contexts, which may limit the generalizability or transferability of the findings to other settings or populations. However, the goal of qualitative research is not to produce statistically generalizable results but rather to provide a rich, contextualized, and nuanced understanding of the phenomena under study.

Researchers can enhance the transferability of their findings by providing rich descriptions of the research context, participants, and methods, and by discussing the potential applicability or relevance of the findings to other settings or populations. Readers can then assess the transferability of the findings based on the similarity of their own context to the one described in the research.

By addressing these challenges and adopting rigorous and transparent research practices, qualitative researchers can contribute valuable and meaningful insights that advance knowledge, inform policies, and improve practices in various fields and contexts.

Qualitative and quantitative research approaches are often seen as distinct and even opposing paradigms. However, these two approaches can be complementary, providing a more comprehensive understanding of complex social phenomena when combined. In this section, we will discuss how qualitative research can complement quantitative research and enhance the overall depth, breadth, and rigor of research findings.

Exploring and understanding context

Quantitative research excels at identifying patterns, trends, and relationships among variables using numerical data, while qualitative research provides rich and nuanced insights into the context, meaning, and underlying processes that shape these patterns or relationships. By integrating qualitative research with quantitative research, researchers can explore not only the "what" or "how many" but also the "why" and "how" of the phenomena under study.

For example, a quantitative study in health services research might reveal a correlation between social media usage and mental health outcomes, while a qualitative study could help explain the reasons behind this correlation by exploring users' experiences, motivations, and perceptions of social media. Qualitative and quantitative data in this case complement each other to contribute to a more robust theory and more informed policy implications.

Generating and refining hypotheses

Qualitative research can inform the development and refinement of hypotheses for quantitative research by identifying new concepts, variables, or relationships that emerge from the data. This can lead to more focused, relevant, and innovative quantitative research questions and hypotheses. For instance, a qualitative study on employee motivation might uncover the importance of meaningful work and supportive relationships with supervisors as key factors influencing motivation. These findings could then be incorporated into a quantitative study to test the relationships between these factors and employee motivation.

Validating and triangulating findings

Combining qualitative and quantitative research methods can enhance the credibility and trustworthiness of research findings through validation and triangulation. Validation involves comparing the findings from different methods to assess their consistency and convergence, while triangulation involves using multiple methods, data sources, or researchers to gain a more comprehensive understanding of the phenomena under study.

For example, a researcher might use both quantitative surveys and qualitative interviews in a mixed methods research design to assess the effectiveness of a health intervention. If both methods yield similar findings, this can increase confidence in the results. If the findings differ, the researcher can further investigate the reasons for these discrepancies and refine their understanding of the intervention's effectiveness.

Enhancing communication and dissemination

Qualitative research can enhance the communication and dissemination of quantitative research findings by providing vivid narratives, case studies, or examples that bring the data to life and make it more accessible and engaging for diverse audiences, such as policymakers, practitioners, or the public.

For example, a quantitative study on the impact of a community-based program might report the percentage of participants who experienced improvements in various outcomes. By adding qualitative data, such as quotes or stories from participants, the researcher can illustrate the human impact of the program and make the findings more compelling and relatable.

In conclusion, qualitative research can complement and enrich quantitative research in various ways, leading to a more comprehensive, contextualized, and rigorous understanding of complex social phenomena. By integrating qualitative and quantitative research methods, researchers can harness the strengths of both approaches to produce more robust, relevant, and impactful findings that inform theory, policy, and practice.

Qualitative research findings are typically reported in various formats, depending on the audience, purpose, and context of the research. Common ways to report qualitative research include dissertations, journal articles, market research reports, and needs assessment reports. Each format has its own structure and emphasis, tailored to meet the expectations and requirements of its target audience.

Dissertations and theses : Doctoral,master's, or bachelor students often conduct qualitative research as part of their dissertation or thesis projects. In this format, researchers provide a comprehensive account of their research questions , methodology, data collection , data analysis , and findings. Dissertations are expected to make a significant contribution to the existing body of knowledge and demonstrate the researcher's mastery of the subject matter.

Journal articles : Researchers frequently disseminate their qualitative research findings through articles published in academic journals . These articles are typically structured in a way that includes an introduction, literature review, methodology, results, and discussion sections. In addition, articles often undergo a peer-review process before being published in the academic journal. Journal articles focus on communicating the study's purpose, methods, and findings in a concise and coherent manner, providing enough detail for other researchers to evaluate the rigor and validity of the research so that they can cite the article and build on it in their own studies.

Market research reports : Market research often employs qualitative methods to gather insights into consumer behavior, preferences, and attitudes. Market research reports present the findings of these studies to clients, typically businesses or organizations interested in understanding their target audience or market trends. These reports focus on providing actionable insights and recommendations based on the qualitative data, helping clients make informed decisions and develop effective marketing strategies.

Needs assessment reports : Needs assessment is a process used to identify gaps or areas of improvement in a specific context, such as healthcare, education, or social services. Qualitative research methods can be used to collect data on the needs, challenges, and experiences of the target population. Needs assessment reports present the findings of this research, highlighting the identified needs and providing recommendations for addressing them. These reports are used by organizations and policymakers to inform the development and implementation of targeted interventions and policies.

Other formats : In addition to the aforementioned formats, qualitative research findings can also be reported in conference presentations, white papers, policy briefs, blog posts, or multimedia presentations. The choice of format depends on the target audience and the intended purpose of the research, as well as the researcher's preferences and resources. Regardless of the format, it is important for researchers to present their findings in a clear, accurate, and engaging manner, ensuring that their work is accessible and relevant to their audience.

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StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-.

StatPearls [Internet].

Qualitative study.

Steven Tenny ; Janelle M. Brannan ; Grace D. Brannan .

Affiliations

Last Update: September 18, 2022 .

• Introduction

Qualitative research is a type of research that explores and provides deeper insights into real-world problems. [1] Instead of collecting numerical data points or intervening or introducing treatments just like in quantitative research, qualitative research helps generate hypothenar to further investigate and understand quantitative data. Qualitative research gathers participants' experiences, perceptions, and behavior. It answers the hows and whys instead of how many or how much. It could be structured as a standalone study, purely relying on qualitative data, or part of mixed-methods research that combines qualitative and quantitative data. This review introduces the readers to some basic concepts, definitions, terminology, and applications of qualitative research.

Qualitative research, at its core, asks open-ended questions whose answers are not easily put into numbers, such as "how" and "why." [2] Due to the open-ended nature of the research questions, qualitative research design is often not linear like quantitative design. [2] One of the strengths of qualitative research is its ability to explain processes and patterns of human behavior that can be difficult to quantify. [3] Phenomena such as experiences, attitudes, and behaviors can be complex to capture accurately and quantitatively. In contrast, a qualitative approach allows participants themselves to explain how, why, or what they were thinking, feeling, and experiencing at a particular time or during an event of interest. Quantifying qualitative data certainly is possible, but at its core, qualitative data is looking for themes and patterns that can be difficult to quantify, and it is essential to ensure that the context and narrative of qualitative work are not lost by trying to quantify something that is not meant to be quantified.

However, while qualitative research is sometimes placed in opposition to quantitative research, where they are necessarily opposites and therefore "compete" against each other and the philosophical paradigms associated with each other, qualitative and quantitative work are neither necessarily opposites, nor are they incompatible. [4] While qualitative and quantitative approaches are different, they are not necessarily opposites and certainly not mutually exclusive. For instance, qualitative research can help expand and deepen understanding of data or results obtained from quantitative analysis. For example, say a quantitative analysis has determined a correlation between length of stay and level of patient satisfaction, but why does this correlation exist? This dual-focus scenario shows one way in which qualitative and quantitative research could be integrated.

Qualitative Research Approaches

Ethnography

Ethnography as a research design originates in social and cultural anthropology and involves the researcher being directly immersed in the participant’s environment. [2] Through this immersion, the ethnographer can use a variety of data collection techniques to produce a comprehensive account of the social phenomena that occurred during the research period. [2] That is to say, the researcher’s aim with ethnography is to immerse themselves into the research population and come out of it with accounts of actions, behaviors, events, etc, through the eyes of someone involved in the population. Direct involvement of the researcher with the target population is one benefit of ethnographic research because it can then be possible to find data that is otherwise very difficult to extract and record.

Grounded theory

Grounded Theory is the "generation of a theoretical model through the experience of observing a study population and developing a comparative analysis of their speech and behavior." [5] Unlike quantitative research, which is deductive and tests or verifies an existing theory, grounded theory research is inductive and, therefore, lends itself to research aimed at social interactions or experiences. [3] [2] In essence, Grounded Theory’s goal is to explain how and why an event occurs or how and why people might behave a certain way. Through observing the population, a researcher using the Grounded Theory approach can then develop a theory to explain the phenomena of interest.

Phenomenology

Phenomenology is the "study of the meaning of phenomena or the study of the particular.” [5] At first glance, it might seem that Grounded Theory and Phenomenology are pretty similar, but the differences can be seen upon careful examination. At its core, phenomenology looks to investigate experiences from the individual's perspective. [2] Phenomenology is essentially looking into the "lived experiences" of the participants and aims to examine how and why participants behaved a certain way from their perspective. Herein lies one of the main differences between Grounded Theory and Phenomenology. Grounded Theory aims to develop a theory for social phenomena through an examination of various data sources. In contrast, Phenomenology focuses on describing and explaining an event or phenomenon from the perspective of those who have experienced it.

Narrative research

One of qualitative research’s strengths lies in its ability to tell a story, often from the perspective of those directly involved in it. Reporting on qualitative research involves including details and descriptions of the setting involved and quotes from participants. This detail is called a "thick" or "rich" description and is a strength of qualitative research. Narrative research is rife with the possibilities of "thick" description as this approach weaves together a sequence of events, usually from just one or two individuals, hoping to create a cohesive story or narrative. [2] While it might seem like a waste of time to focus on such a specific, individual level, understanding one or two people’s narratives for an event or phenomenon can help to inform researchers about the influences that helped shape that narrative. The tension or conflict of differing narratives can be "opportunities for innovation." [2]

Research Paradigm

Research paradigms are the assumptions, norms, and standards underpinning different research approaches. Essentially, research paradigms are the "worldviews" that inform research. [4] It is valuable for qualitative and quantitative researchers to understand what paradigm they are working within because understanding the theoretical basis of research paradigms allows researchers to understand the strengths and weaknesses of the approach being used and adjust accordingly. Different paradigms have different ontologies and epistemologies. Ontology is defined as the "assumptions about the nature of reality,” whereas epistemology is defined as the "assumptions about the nature of knowledge" that inform researchers' work. [2] It is essential to understand the ontological and epistemological foundations of the research paradigm researchers are working within to allow for a complete understanding of the approach being used and the assumptions that underpin the approach as a whole. Further, researchers must understand their own ontological and epistemological assumptions about the world in general because their assumptions about the world will necessarily impact how they interact with research. A discussion of the research paradigm is not complete without describing positivist, postpositivist, and constructivist philosophies.

Positivist versus postpositivist

To further understand qualitative research, we must discuss positivist and postpositivist frameworks. Positivism is a philosophy that the scientific method can and should be applied to social and natural sciences. [4] Essentially, positivist thinking insists that the social sciences should use natural science methods in their research. It stems from positivist ontology, that there is an objective reality that exists that is wholly independent of our perception of the world as individuals. Quantitative research is rooted in positivist philosophy, which can be seen in the value it places on concepts such as causality, generalizability, and replicability.

Conversely, postpositivists argue that social reality can never be one hundred percent explained, but could be approximated. [4] Indeed, qualitative researchers have been insisting that there are “fundamental limits to the extent to which the methods and procedures of the natural sciences could be applied to the social world,” and therefore, postpositivist philosophy is often associated with qualitative research. [4] An example of positivist versus postpositivist values in research might be that positivist philosophies value hypothesis-testing, whereas postpositivist philosophies value the ability to formulate a substantive theory.

Constructivist

Constructivism is a subcategory of postpositivism. Most researchers invested in postpositivist research are also constructivist, meaning they think there is no objective external reality that exists but instead that reality is constructed. Constructivism is a theoretical lens that emphasizes the dynamic nature of our world. "Constructivism contends that individuals' views are directly influenced by their experiences, and it is these individual experiences and views that shape their perspective of reality.” [6]  constructivist thought focuses on how "reality" is not a fixed certainty and how experiences, interactions, and backgrounds give people a unique view of the world. Constructivism contends, unlike positivist views, that there is not necessarily an "objective"reality we all experience. This is the ‘relativist’ ontological view that reality and our world are dynamic and socially constructed. Therefore, qualitative scientific knowledge can be inductive as well as deductive.” [4]

So why is it important to understand the differences in assumptions that different philosophies and approaches to research have? Fundamentally, the assumptions underpinning the research tools a researcher selects provide an overall base for the assumptions the rest of the research will have. It can even change the role of the researchers. [2] For example, is the researcher an "objective" observer, such as in positivist quantitative work? Or is the researcher an active participant in the research, as in postpositivist qualitative work? Understanding the philosophical base of the study undertaken allows researchers to fully understand the implications of their work and their role within the research and reflect on their positionality and bias as it pertains to the research they are conducting.

Data Sampling 

The better the sample represents the intended study population, the more likely the researcher is to encompass the varying factors. The following are examples of participant sampling and selection: [7]

• Purposive sampling- selection based on the researcher’s rationale for being the most informative.
• Criterion sampling selection based on pre-identified factors.
• Convenience sampling- selection based on availability.
• Snowball sampling- the selection is by referral from other participants or people who know potential participants.
• Extreme case sampling- targeted selection of rare cases.
• Typical case sampling selection based on regular or average participants. 

Data Collection and Analysis

Qualitative research uses several techniques, including interviews, focus groups, and observation. [1] [2] [3] Interviews may be unstructured, with open-ended questions on a topic, and the interviewer adapts to the responses. Structured interviews have a predetermined number of questions that every participant is asked. It is usually one-on-one and appropriate for sensitive topics or topics needing an in-depth exploration. Focus groups are often held with 8-12 target participants and are used when group dynamics and collective views on a topic are desired. Researchers can be participant-observers to share the experiences of the subject or non-participants or detached observers.

While quantitative research design prescribes a controlled environment for data collection, qualitative data collection may be in a central location or the participants' environment, depending on the study goals and design. Qualitative research could amount to a large amount of data. Data is transcribed, which may then be coded manually or using computer-assisted qualitative data analysis software or CAQDAS such as ATLAS.ti or NVivo. [8] [9] [10]

After the coding process, qualitative research results could be in various formats. It could be a synthesis and interpretation presented with excerpts from the data. [11] Results could also be in the form of themes and theory or model development.

Dissemination

The healthcare team can use two reporting standards to standardize and facilitate the dissemination of qualitative research outcomes. The Consolidated Criteria for Reporting Qualitative Research or COREQ is a 32-item checklist for interviews and focus groups. [12] The Standards for Reporting Qualitative Research (SRQR) is a checklist covering a more comprehensive range of qualitative research. [13]

Applications

Many times, a research question will start with qualitative research. The qualitative research will help generate the research hypothesis, which can be tested with quantitative methods. After the data is collected and analyzed with quantitative methods, a set of qualitative methods can be used to dive deeper into the data to better understand what the numbers truly mean and their implications. The qualitative techniques can then help clarify the quantitative data and also help refine the hypothesis for future research. Furthermore, with qualitative research, researchers can explore poorly studied subjects with quantitative methods. These include opinions, individual actions, and social science research.

An excellent qualitative study design starts with a goal or objective. This should be clearly defined or stated. The target population needs to be specified. A method for obtaining information from the study population must be carefully detailed to ensure no omissions of part of the target population. A proper collection method should be selected that will help obtain the desired information without overly limiting the collected data because, often, the information sought is not well categorized or obtained. Finally, the design should ensure adequate methods for analyzing the data. An example may help better clarify some of the various aspects of qualitative research.

A researcher wants to decrease the number of teenagers who smoke in their community. The researcher could begin by asking current teen smokers why they started smoking through structured or unstructured interviews (qualitative research). The researcher can also get together a group of current teenage smokers and conduct a focus group to help brainstorm factors that may have prevented them from starting to smoke (qualitative research).

In this example, the researcher has used qualitative research methods (interviews and focus groups) to generate a list of ideas of why teens start to smoke and factors that may have prevented them from starting to smoke. Next, the researcher compiles this data. The research found that, hypothetically, peer pressure, health issues, cost, being considered "cool," and rebellious behavior all might increase or decrease the likelihood of teens starting to smoke.

The researcher creates a survey asking teen participants to rank how important each of the above factors is in either starting smoking (for current smokers) or not smoking (for current nonsmokers). This survey provides specific numbers (ranked importance of each factor) and is thus a quantitative research tool.

The researcher can use the survey results to focus efforts on the one or two highest-ranked factors. Let us say the researcher found that health was the primary factor that keeps teens from starting to smoke, and peer pressure was the primary factor that contributed to teens starting smoking. The researcher can go back to qualitative research methods to dive deeper into these for more information. The researcher wants to focus on keeping teens from starting to smoke, so they focus on the peer pressure aspect.

The researcher can conduct interviews and focus groups (qualitative research) about what types and forms of peer pressure are commonly encountered, where the peer pressure comes from, and where smoking starts. The researcher hypothetically finds that peer pressure often occurs after school at the local teen hangouts, mostly in the local park. The researcher also hypothetically finds that peer pressure comes from older, current smokers who provide the cigarettes.

The researcher could further explore this observation made at the local teen hangouts (qualitative research) and take notes regarding who is smoking, who is not, and what observable factors are at play for peer pressure to smoke. The researcher finds a local park where many local teenagers hang out and sees that the smokers tend to hang out in a shady, overgrown area of the park. The researcher notes that smoking teenagers buy their cigarettes from a local convenience store adjacent to the park, where the clerk does not check identification before selling cigarettes. These observations fall under qualitative research.

If the researcher returns to the park and counts how many individuals smoke in each region, this numerical data would be quantitative research. Based on the researcher's efforts thus far, they conclude that local teen smoking and teenagers who start to smoke may decrease if there are fewer overgrown areas of the park and the local convenience store does not sell cigarettes to underage individuals.

The researcher could try to have the parks department reassess the shady areas to make them less conducive to smokers or identify how to limit the sales of cigarettes to underage individuals by the convenience store. The researcher would then cycle back to qualitative methods of asking at-risk populations their perceptions of the changes and what factors are still at play, and quantitative research that includes teen smoking rates in the community and the incidence of new teen smokers, among others. [14] [15]

Qualitative research functions as a standalone research design or combined with quantitative research to enhance our understanding of the world. Qualitative research uses techniques including structured and unstructured interviews, focus groups, and participant observation not only to help generate hypotheses that can be more rigorously tested with quantitative research but also to help researchers delve deeper into the quantitative research numbers, understand what they mean, and understand what the implications are. Qualitative research allows researchers to understand what is going on, especially when things are not easily categorized. [16]

• Issues of Concern

As discussed in the sections above, quantitative and qualitative work differ in many ways, including the evaluation criteria. There are four well-established criteria for evaluating quantitative data: internal validity, external validity, reliability, and objectivity. Credibility, transferability, dependability, and confirmability are the correlating concepts in qualitative research. [4] [11] The corresponding quantitative and qualitative concepts can be seen below, with the quantitative concept on the left and the qualitative concept on the right:

• Internal validity: Credibility
• External validity: Transferability
• Reliability: Dependability
• Objectivity: Confirmability

In conducting qualitative research, ensuring these concepts are satisfied and well thought out can mitigate potential issues from arising. For example, just as a researcher will ensure that their quantitative study is internally valid, qualitative researchers should ensure that their work has credibility. 

Indicators such as triangulation and peer examination can help evaluate the credibility of qualitative work.

• Triangulation: Triangulation involves using multiple data collection methods to increase the likelihood of getting a reliable and accurate result. In our above magic example, the result would be more reliable if we interviewed the magician, backstage hand, and the person who "vanished." In qualitative research, triangulation can include telephone surveys, in-person surveys, focus groups, and interviews and surveying an adequate cross-section of the target demographic.
• Peer examination: A peer can review results to ensure the data is consistent with the findings.

A "thick" or "rich" description can be used to evaluate the transferability of qualitative research, whereas an indicator such as an audit trail might help evaluate the dependability and confirmability.

• Thick or rich description:  This is a detailed and thorough description of details, the setting, and quotes from participants in the research. [5] Thick descriptions will include a detailed explanation of how the study was conducted. Thick descriptions are detailed enough to allow readers to draw conclusions and interpret the data, which can help with transferability and replicability.
• Audit trail: An audit trail provides a documented set of steps of how the participants were selected and the data was collected. The original information records should also be kept (eg, surveys, notes, recordings).

One issue of concern that qualitative researchers should consider is observation bias. Here are a few examples:

• Hawthorne effect: The effect is the change in participant behavior when they know they are being observed. Suppose a researcher wanted to identify factors that contribute to employee theft and tell the employees they will watch them to see what factors affect employee theft. In that case, one would suspect employee behavior would change when they know they are being protected.
• Observer-expectancy effect: Some participants change their behavior or responses to satisfy the researcher's desired effect. This happens unconsciously for the participant, so it is essential to eliminate or limit the transmission of the researcher's views.
• Artificial scenario effect: Some qualitative research occurs in contrived scenarios with preset goals. In such situations, the information may not be accurate because of the artificial nature of the scenario. The preset goals may limit the qualitative information obtained.
• Clinical Significance

Qualitative or quantitative research helps healthcare providers understand patients and the impact and challenges of the care they deliver. Qualitative research provides an opportunity to generate and refine hypotheses and delve deeper into the data generated by quantitative research. Qualitative research is not an island apart from quantitative research but an integral part of research methods to understand the world around us. [17]

• Enhancing Healthcare Team Outcomes

Qualitative research is essential for all healthcare team members as all are affected by qualitative research. Qualitative research may help develop a theory or a model for health research that can be further explored by quantitative research. Much of the qualitative research data acquisition is completed by numerous team members, including social workers, scientists, nurses, etc. Within each area of the medical field, there is copious ongoing qualitative research, including physician-patient interactions, nursing-patient interactions, patient-environment interactions, healthcare team function, patient information delivery, etc. 

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Disclosure: Steven Tenny declares no relevant financial relationships with ineligible companies.

Disclosure: Janelle Brannan declares no relevant financial relationships with ineligible companies.

Disclosure: Grace Brannan declares no relevant financial relationships with ineligible companies.

This book is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ), which permits others to distribute the work, provided that the article is not altered or used commercially. You are not required to obtain permission to distribute this article, provided that you credit the author and journal.

• Cite this Page Tenny S, Brannan JM, Brannan GD. Qualitative Study. [Updated 2022 Sep 18]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-.

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10 Advantages and Disadvantages of Qualitative Research

  — August 5th, 2021

Research is about gathering data so that it can inform meaningful decisions. In the workplace, this can be invaluable in allowing informed decision-making that will meet with wider strategic organizational goals .

However, research comes in a variety of guises and, depending on the methodologies applied, can achieve different ends. There are broadly two key approaches to research -- qualitative and quantitative.

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Qualitative v quantitative – what’s the difference.

Qualitative Research is at the touchy-feely end of the spectrum. It’s not so much about bean-counting and much more about capturing people’s opinions and emotions.

“Research following a qualitative approach is exploratory and seeks to explain ‘how’ and ‘why’ a particular phenomenon, or behavior, operates as it does in a particular context.” (simplypsychology.org)

Examples of the way qualitative research is often gathered includes:

Interviews are a conversation based inquiry where questions are used to obtain information from participants. Interviews are typically structured to meet the researcher’s objectives.

Focus Groups

Focus group discussions are a common qualitative research strategy . In a focus group discussion, the interviewer talks to a group of people about their thoughts, opinions, beliefs, and attitudes towards a topic. Participants are typically a group who are similar in some way, such as income, education, or career. In the context of a company, the group dynamic is likely their common experience of the workplace.

Observation

Observation is a systematic research method in which researchers look at the activity of their subjects in their typical environment. Observation gives direct information about your research. Using observation can capture information that participants may not think to reveal or see as important during interviews/focus groups.

Existing Documents

This is also called secondary data. A qualitative data collection method entails extracting relevant data from existing documents. This data can then be analyzed using a qualitative data analysis method called content analysis. Existing documents might be work documents, work email , or any other material relevant to the organization.

Quantitative Research is the ‘bean-counting’ bit of the research spectrum. This isn’t to demean its value. Now encompassed by the term ‘ People Analytics ’, it plays an equally important role as a tool for business decision-making.

Organizations can use a variety of quantitative data-gathering methods to track productivity. In turn, this can help:

• To rank employees and work units
• To award raises or promotions.
• To measure and justify termination or disciplining of staff
• To measure productivity
• To measure group/individual targets

Examples might include measuring workforce productivity. If Widget Makers Inc., has two production lines and Line A is producing 25% more per day than Line B, capturing this data immediately informs management/HR of potential issues. Is the slower production on Line B due to human factors or is there a production process issue?

Quantitative Research can help capture real-time activities in the workplace and point towards what needs management attention.

The Pros & Cons of the Qualitative approach

By its nature, qualitative research is far more experiential and focused on capturing people’s feelings and views. This undoubtedly has value, but it can also bring many more challenges than simply capturing quantitative data. Here are a few challenges and strengths of qualitative research to consider :-

• Qualitative Research can capture changing attitudes within a target group such as consumers of a product or service, or attitudes in the workplace.
• Qualitative approaches to research are not bound by the limitations of quantitative methods. If responses don’t fit the researcher’s expectation that’s equally useful qualitative data to add context and perhaps explain something that numbers alone are unable to reveal .
• Qualitative Research provides a much more flexible approach . If useful insights are not being captured researchers can quickly adapt questions, change the setting or any other variable to improve responses.
• Qualitative data capture allows researchers to be far more speculative about what areas they choose to investigate and how to do so. It allows data capture to be prompted by a researcher’s instinctive or ‘gut feel’ for where good information will be found.

Qualitative research can be more targeted . If you want to compare productivity across an entire organization, all parts, process, and participants need to be accounted for. Qualitative research can be far more concentrated, sampling specific groups and key points in a company to gather meaningful data. This can both speed the process of data capture and keep the costs of data-gathering down.

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• Sample size can be a big issue. If you seek to infer from a sample of, for example, 200 employees, based upon a sample of 5 employees, this raises the question of whether sampling will provide a true reflection of the views of the remaining 97.5% of the company?
• Sample bias - HR departments will have competing agendas. One argument against qualitative methods alone is that HR tasked with finding the views of the workforce may be influenced both consciously or unconsciously, to select a sample that favors an anticipated outcome .
• Self-selection bias may arise where companies ask staff to volunteer their views . Whether in a paper, online survey , or focus group, if an HR department calls for participants there will be the issue of staff putting themselves forward. The argument goes that this group, in self-selecting itself, rather than being a randomly selected snapshot of a department, will inevitably have narrowed its relevance to those that typically are willing to come forward with their views. Quantitative data is gathered whether someone volunteered or not.
• The artificiality of qualitative data capture. The act of bringing together a group is inevitably outside of the typical ‘norms ’ of everyday work life and culture and may influence the participants in unforeseen ways.
• Are the right questions being posed to participants? You can only get answers to questions you think to ask . In qualitative approaches, asking about “how” and “why” can be hugely informative, but if researchers don’t ask, that insight may be missed.

The reality is that any research approach has both pros and cons. The art of effective and meaningful data gathering is thus to be aware of the limitations and strengths of each method.

In the case of Qualitative research, its value is inextricably linked to the number-crunching that is Quantitative data. One is the Ying to the other’s Yang. Each can only provide half of the picture, but together, you get a more complete view of what’s occurring within an organization.

What are the strengths of qualitative research?

Qualitative research offers deep insights into human behavior, provides context and understanding of complex issues, allows for flexibility in data collection, and helps uncover trends and patterns that quantitative data might miss.

What are the weaknesses of qualitative research?

Weakness include potential bias in data interpretation, time-consuming data collection and analysis, difficulty in generalizing findings to a larger population, and challenges in replicating the study.

Why is qualitative research important?

Qualitative research is crucial for exploring the depth and complexity of human experiences, capturing emotions, motivations, and cultural contexts that quantitative methods may overlook.

How can bias be minimized in qualitative research?

Researchers can minimize bias by using strategies such as triangulation (using multiple data sources), reflexivity (being aware of personal biases), and ensuring transparency in the research process.

What industries or fields commonly use qualitative research?

Qualitative research is widely used in social sciences, healthcare, education, marketing, and any field where understanding human experiences and behaviors is essential.

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Qualitative Study

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• 1 University of Nebraska Medical Center
• 2 GDB Research and Statistical Consulting
• 3 GDB Research and Statistical Consulting/McLaren Macomb Hospital
• PMID: 29262162
• Bookshelf ID: NBK470395

Qualitative research is a type of research that explores and provides deeper insights into real-world problems. Instead of collecting numerical data points or intervening or introducing treatments just like in quantitative research, qualitative research helps generate hypothenar to further investigate and understand quantitative data. Qualitative research gathers participants' experiences, perceptions, and behavior. It answers the hows and whys instead of how many or how much. It could be structured as a standalone study, purely relying on qualitative data, or part of mixed-methods research that combines qualitative and quantitative data. This review introduces the readers to some basic concepts, definitions, terminology, and applications of qualitative research.

Qualitative research, at its core, asks open-ended questions whose answers are not easily put into numbers, such as "how" and "why." Due to the open-ended nature of the research questions, qualitative research design is often not linear like quantitative design. One of the strengths of qualitative research is its ability to explain processes and patterns of human behavior that can be difficult to quantify. Phenomena such as experiences, attitudes, and behaviors can be complex to capture accurately and quantitatively. In contrast, a qualitative approach allows participants themselves to explain how, why, or what they were thinking, feeling, and experiencing at a particular time or during an event of interest. Quantifying qualitative data certainly is possible, but at its core, qualitative data is looking for themes and patterns that can be difficult to quantify, and it is essential to ensure that the context and narrative of qualitative work are not lost by trying to quantify something that is not meant to be quantified.

However, while qualitative research is sometimes placed in opposition to quantitative research, where they are necessarily opposites and therefore "compete" against each other and the philosophical paradigms associated with each other, qualitative and quantitative work are neither necessarily opposites, nor are they incompatible. While qualitative and quantitative approaches are different, they are not necessarily opposites and certainly not mutually exclusive. For instance, qualitative research can help expand and deepen understanding of data or results obtained from quantitative analysis. For example, say a quantitative analysis has determined a correlation between length of stay and level of patient satisfaction, but why does this correlation exist? This dual-focus scenario shows one way in which qualitative and quantitative research could be integrated.

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Navigating Uncharted Territory: A Qualitative Analysis of Challenges and Advantages Experienced by Early Career Medical Educators

• Original Research
• Open access
• Published: 07 November 2024

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• Caroline M. Gundler   ORCID: orcid.org/0000-0003-1689-6721 1 &
• Sara Allison 2  

With the growing demand for medical educators, it is increasingly important that institutions implement practices to recruit, retain, and promote the well-being of early career medical educators (ECMEs). However, the specific needs of this group remain somewhat unclear. The current study aimed to address this gap by utilizing qualitative analysis to identify challenges and advantages associated with ECME status. An anonymous, voluntary survey was administered on forums of professional societies for medical education and on social media platforms, and emailed to professional societies. The survey collected demographic information and qualitative data regarding ECMEs’ experiences. Data were collected from 39 participants who met the ECME criteria of having less than or equal to 10 years of teaching experience since obtaining a terminal degree. Thematic analysis revealed that the challenges of early career faculty were difficulty balancing responsibilities, lack of research and educational support, perceived inadequacies as a faculty member, and development of workplace friendships. The advantages were the ability to understand students, possessing specific knowledge and skills, and the ability to innovate. ECME professional development needs focused on development of skills, networking, and support. In conclusion, ECMEs encounter similar struggles faced by all medical educators; however, they have the least amount of experience navigating the hurdles of academia. To aid ECMEs, institutions and departments can focus on the implementation of meaningful professional development opportunities, support systems, and encouraging ECMEs’ strengths.

Avoid common mistakes on your manuscript.

Medical educators play a critical role in the training of future physicians. They are responsible for shaping the environment in which medical students develop the knowledge and skills necessary to care for patients. Despite the significance of this career, the roles of a medical educator remain poorly defined. Several faculty identified as medical educators offered diverse definitions, ranging from a person who carries a passion for bringing out the best in learners to one that uses educational theories to guide their teaching, scholarship, and curricular design [ 1 ].

The lack of consensus around what it means to be a medical educator likely stems from the diverse and multifaceted nature of the role, which encompasses a wide range of responsibilities that differ significantly across the field [ 1 , 2 ]. Some medical educators do most of their teaching in a traditional classroom setting, while others teach in laboratories or clinical environments. For some, teaching is at the very core of their career, while others balance significant patient care responsibilities or lead active research labs. These diverse roles result in a broad spectrum of responsibilities ranging from scholarship, policy development, program accreditation, faculty development, technical support, facilitation of learning events, student assessment, and providing social and emotional support for students [ 3 ]. In fact, Reisenburg and colleagues [ 4 ] identified as many as 237 potential job responsibilities associated with medical educator roles.

Others have attempted to establish core competencies for medical educators which include goals related to education, scholarship, administration, professionalism, reflective practice, content expertise, leadership, community engagement, mentoring, interpersonal skills, cultural competency, and navigating the medical education system [ 5 , 6 ]. While already numerous, these responsibilities are rapidly evolving. An expert group at the Association of American Medical Colleges (AAMC) Learn, Serve, Lead conference formulated a list of roles that would be necessary for the success of a medical educator in 2025 [ 7 ]. The list suggests that the role will soon include utilization of big data to better understand individual student performance, early adoption of novel technological tools, and curation of content developed by national experts [ 7 ].

This ambiguity is compounded by the absence of a defined pathway to becoming a medical educator. Unlike more traditional career trajectories in research or clinical practice, the journey to becoming a medical educator lacks a clear roadmap. Therefore, many medical educators transition from clinical or research backgrounds [ 8 ]. To become a medical educator, some have pursued an advanced degree while others were mentored and observed others in the field. Some simply began to identify themselves as belonging to a community of experts while others made the leap simply by doing medical education [ 1 ]. Regardless of the chosen path, the transition is often marked by a sense of dissatisfaction with the support available [ 9 ], reflecting broader systemic issues in recognizing medical education as a legitimate career path [ 10 ].

For those able to make the transition into medical education, the pathway for success still remains somewhat ill-defined [ 10 , 11 , 12 ]. Many medical educators feel their work in the field is not recognized or is undervalued in comparison to research or clinical endeavors [ 2 , 8 , 11 ]. Others have cited many different measures of success for educators [ 13 ] making promotion in the field difficult [ 8 ] and leading to calls for established criteria for judging excellence in medical education [ 2 ].

The poorly outlined scope of activities in combination with the lack of common professional origin ultimately results in medical education lacking visibility as a career [ 3 ]. This has left many of those in the field struggling with professional identity formation [ 14 ]. Some faculty experience tension between what they feel is their primary role as a clinician or researcher and the role of medical educator [ 8 , 11 ]. Brooks and colleagues [ 15 ] found that basic science medical educators experience specific threats to their professional identity formation such as struggling to balance conflicting roles, feeling untrained to teach, lacking meaningful clinical knowledge, and difficulty in forming an educator identity in an institution built to support research [ 15 ]. Sabel and colleagues summarized this struggle with identity formation, noting that “educators do not see themselves as belonging to the field of medical education. Instead they inhabit the field” (p. 1479) [ 11 ].

While medical educators at all stages face similar challenges, those early in their career are likely the most vulnerable given that they have the least amount of experience navigating the field. This group experiences the common challenges of balancing publishing, teaching, service, and life outside of work [ 16 , 17 ], but they may not yet have the resources, experience, or network to effectively manage this balance. This has resulted in junior educators feeling isolated [ 18 ], overwhelmed [ 19 ], and emotionally exhausted [ 20 ]. One early career medical educator (ECME) specifically described their struggle to understand expectations and ask for help, which left them feeling overwhelmed and ultimately placed strain on their personal and professional relationships [ 21 ]. These negative experiences have the potential to lead to early career medical educator burnout which may affect institutions’ ability to retain and train high-quality medical educators [ 22 , 23 ].

This is particularly troubling as concerns over physician shortages rise [ 24 ] and the demand for medical educators continues to increase [ 12 , 25 , 26 ]. Recognizing the pivotal role that early career medical educators will play in addressing the looming physician shortage, there is an urgent need to support these individuals and ensure they are retained. Factors such as lack of organizational support, low job satisfaction, difficulty balancing work and home life, higher stress, and burnout among those in higher education are associated with a higher likelihood of intention to quit [ 27 ]. In order to protect against these factors, there must be organized support for early career medical educators’ development and well-being.

While existing literature explores the challenges faced by medical educators at various career stages, there is a notable gap in understanding the unique difficulties encountered by early career professionals in this evolving field. Despite efforts to provide formal and informal developmental opportunities [ 1 , 28 , 29 , 30 , 31 , 32 , 33 ], certain challenges such as teaching peers of a similar age and forming workplace relationships remain unexplored. Furthermore, no studies have investigated the potential benefits of early career status in medical education which may result in missed opportunities to capitalize on advantages and further inform strategies to support the growth and retention of early career faculty. This study addresses these gaps through qualitative analysis, aiming to provide a more nuanced understanding of both the challenges and advantages faced by early career medical educators, with implications for improving support and retention strategies.

Materials and Methods

An Early Career Medical Educator Questionnaire (Appendix A) was created utilizing surveys from a literature search and was tailored towards medical educators [ 34 , 35 , 36 , 37 ]. Some of the items were directly adapted from existing validated surveys found in the literature (questions 11, 14–16). The decision process for selecting these items was based on their relevance and alignment with this study’s focus. Other questions were developed by the authors to address gaps identified in the existing literature and to capture aspects of the early career medical educator experience that were not previously explored. The questionnaire contained ten demographic questions regarding gender, age, ethnicity, teaching specialty, percentage of full-time equivalent (FTE) dedicated to teaching, type of degree, training focus, appointed teaching position, years teaching with terminal degree, and the student population they teach. This was followed by six open-ended questions concerning early career medical educators’ opinions about specific challenges and advantages experienced in their current role, their professional development needs, and where they seek professional advice.

The Early Career Medical Educator Questionnaire was an anonymous, voluntary survey administered via Qualtrics. Thirty-nine professional societies were identified through a Google search using keywords such as association, society, organization, allopathic, osteopathic, medical education, physiology, pharmacology, pathology, microbiology, histology, immunology, neuroscience, and anatomy. Based on this search, the survey was posted on forums of professional societies for medical education that allowed access to posting on their forum (American Association for Anatomy; American Association of Colleges of Osteopathic Medicine; Association for Medical Education in Europe) and social media outlets (Twitter/X, LinkedIn, Facebook). The survey link and posting were publicly available, and all individuals were encouraged to share them widely with their networks. To increase exposure of the survey, it was also emailed to 22 professional societies inquiring if they would share the survey with their members. The professional societies emailed were the following: Association of American Medical Colleges (AAMC) IPE MedEd Portal; Association for Medical Education in Europe; Foundation for Advancement of International Medical Education and Research; Advancing Scholarship in Medical Education (ASME); World Federation for Medical Education (WFME); Canadian Association for Medical Education (CAME); Gesellschaft fur Medizinische Ausbildung (GMA); Academy of Medical Educators (AoME); Scientific Medical Society of Anatomists, Histologists and Embryologists; Anatomical Society; Society for Neuroscience; American Neurological Association; International Society of Neuroscience; American Association of Immunologists; The Physiological Society; American Society for Matrix Biology (ASMB); Society for Experimental Biology and Medicine (SEBM); Society of Ultrasound in Medical Education (SUSME); American Society for Clinical Pathology; International Union of Basic and Clinical Pharmacology (IUPHAR); American Society for Pharmacology and Experimental Therapeutics (ASPET); and International Association of Medical Science Educators (IAMSE). Because of the anonymous nature of the survey, correlations between survey participation and society connection could not be made. The survey was reposted 1 month after the original posting and was open for 2 months between February 2022 and April 2022.

In alignment with previous literature, an early career medical educator was defined as having less than or equal to 10 years of teaching experience since obtaining a terminal degree [ 37 ]. Any survey respondents that did not meet this criterion were removed from data analysis. It is important to note that this definition encompasses individuals who may be over 40 years of age or hold associate or full professor appointments. These individuals were included if they had 10 years or less of teaching experience after obtaining their terminal degrees, as many may have transitioned from other professional careers into academic teaching roles later in their careers.

The qualitative data were analyzed using thematic analysis, which was conducted by the authors without the use of qualitative data analysis software. Thematic analysis involves analysis of the free-text responses and development of patterns or themes from this analysis. First, codes were produced from the free responses to create potential themes or sub-themes. The sub-themes were then reviewed and collated to create main themes [ 38 ]. For the demographic information, data were analyzed using descriptive statistics. To maintain the anonymity of the participants, no identifiers were collected. The study was deemed exempt by Ohio University’s Institutional Review Board (IRB# 21-E-405).

Demographic Information

Forty-nine responses were collected, with 39 individuals qualifying as early career medical educators (ECME). Of these participants, 71.8% were female ( n  = 28), 25.6% were male ( n  = 10), and 2.6% reported other ( n  = 1). The majority of the participants self-identified as White (79.5%, n  = 31), 5.1% as African American/Black ( n  = 2), 2.6% as Asian ( n  = 1), 2.6% as Hispanic/Latino ( n  = 1), 2.6% preferred not to answer ( n  = 1), and 7.7% selected Other ( n  = 3). Those that selected “Other” self-identified as mixed; White and Chinese; and Turkish. The average age of the participants was 37 years old (Fig.  1 ).

Age of early career medical educators

Anatomy was the main discipline taught by the early career educators (61.2%, n  = 30) (Fig.  2 ). Those that selected “Other” for their teaching specialty listed the following: family medicine; public health sciences; medical education; pathology and histology; and pathology. Two individuals who selected “Other” left no response. Seventeen participants (43.6%) indicated that their training was research-based, 18 indicated it was educational (46.2%), two indicated clinical (5.1%), and two indicated both educational and research-based (5.1%). The average percentage of FTE dedicated to teaching was 61% ( n  = 36) with three individuals not reporting their FTE. Table 1 summarizes the degrees held by participants and their appointed teaching position. ECMEs’ average years teaching with their degree was 4.05 years. ECMEs taught medical students (47.8%, n  = 33), Master’s students (15.9%, n  = 11), doctoral students (14.5%, n  = 10), undergraduate students (11.6%, n  = 8), and residents (10.1%, n  = 7).

Teaching specialty. Note that the 39 study participants were able to indicate more than one teaching specialty area

Qualitative Analysis

Thematic analysis was used to assess all six open-ended questions to delineate major themes from open-ended responses. The six questions are subdivided into three categories: challenges, advantages, and professional development. The first three questions ask ECMEs about the challenges and advantages of (1) being an early career professional, (2) teaching students in a similar age range, and (3) developing workplace friendships as an ECME.

Thematic analysis revealed that ECME’s overall challenges were difficulty balancing responsibilities; lack of research and educational support; and perceived inadequacies as a faculty member. Overall advantages of being an ECME included the ability to understand students, possessing specific knowledge and skills, and the ability to innovate.

Difficulty Balancing Responsibilities

ECMEs felt that a challenge was “balancing teaching, research, and service and making them compatible with family life (i.e., work-life balance).” Entering a new institution, learning the techniques of that institution, starting new courses, and adjusting to life as a faculty member contribute to difficulties establishing an optimal work-life balance.

Lack of Research and Educational Support

Another theme delineated from this question was lack of research and educational support as an ECME. This theme encompassed the low FTE/time/resources for research opportunities combined with a heavy teaching load, as well as a lack of clearly defined educational expectations. Participants stated that “there is no protected time for research associated with my position, so I am struggling.” Additionally, they felt a “lack of support when implementing pedagogy” and a lack of “clear expectations on how to […] spend [their] time.”

Perceived Inadequacies as a Faculty Member

This theme was multifaceted as it stemmed from ECMEs’ perceptions of how they were viewed by students and senior faculty as well as ECMEs’ perceptions of themselves. ECMEs claimed that students compared them to other faculty members who had more experience and/or faculty with a medical degree. Additionally, they felt that they were working to gain their colleagues’ approval by proving their knowledge and striving to be seen “as a peer to senior faculty, rather than a student/postdoc.” Some participants also struggled with imposter syndrome and had to work to convince themselves that they were worthy of their position.

Ability to Understand Students

Since ECMEs are more likely to have recently graduated from higher education, they felt that they understood more of the challenges of their students. This made faculty more approachable because they could relate to their students. One participant stated that “I still understand what my students are going through from a professional and personal level, because I am not that far removed from it myself. It helps me better understand their struggles.”

Possessing Specific Knowledge and Skills

This theme came from sub-themes related to ECME’s skills and knowledge of technology and modern resources such as up-to-date study resources, pedagogical skills, and presentation skills. ECMEs believe that they are “‘in touch’ with current research technology” and have the “methods of higher education and pedagogy and assessment.”

Ability to Innovate

As fresh eyes entering a new institution, ECMEs “can bring fresh and creative ideas into my teaching because I haven’t been doing it for a long time. I don't feel tied to a certain way of doing things.” Additionally, many ECMEs recently completed their educational training and maintain a relative proximity to the learning process which can provide a unique perspective on potential ways to present material.

The themes related to challenges and advantages of teaching students that are of similar age and developing workplace friendships are outlined in Table  2 .

• Professional Development

Concerning professional development, three topics were examined: (1) where ECMEs seek professional advice; (2) type of professional activities most important to ECMEs; and (3) ECMEs’ opinion on if they are offered adequate professional development opportunities. ECMEs seek professional advice from senior colleagues, early career faculty, mid-career faculty, professional society members, and graduate advisors and colleagues. Some ECMEs seek advice from multiple different individuals because who they “seek advice from is dependent on the issue at hand.” Other ECMEs do not approach individuals at their institutions “because there are no early career colleagues, and probably no mid-career colleagues at [their] college.” Essentially, they are limited at their institutions and therefore seek outside support for professional advice.

When asked if ECMEs have adequate opportunities for professional development, three main themes were delineated from the open-ended responses: (1) lack of funding and protected time; (2) limited or inadequate offerings; (3) adequate opportunities and support.

Lack of Funding and Protected Time

ECMEs described that there was “very little funding and very little protected time” for professional development activities. They claimed that it was difficult to prioritize professional development when teaching, doing research, completing service requirements, and attending to other components of their FTE that take higher priority. Additionally, “there are not enough professional development funds” causing ECMEs to go “over [their] budgets.”

Limited or Inadequate Offerings

Some ECMEs felt that they have “few resources offered by [their] universities.” They stated that even if there are resources or opportunities, sometimes they do not materialize, or they are not supported by the institution. Some participants stated that even though “there is adequate time and funds, the problem is the lack of offerings.”

Adequate Opportunities and Support

Other ECMEs stated that they have “adequate opportunities for professional development.” Participants stated that this level of support stems from overall institutional support for professional development from chairs, mentors, and academic deans. Some ECMEs stated that they do receive adequate time and funding; however, they “had to explore resources for PD on their own time.”

Concerning the types of professional activities ECMEs stated were most important to them, five areas were addressed: (1) development of pedagogical skills; (2) leadership and service opportunities; (3) development of research skills; (4) assistance with promotion; and (5) networking and conference presentations. Exemplar quotes for these themes are outlined in Table  3 .

This study highlights important gaps in the existing literature by focusing on the unique challenges and potential benefits experienced by early career medical educators (ECMEs). While much of the previous research has addressed obstacles faced by medical educators at various career stages, specific early career issues such as teaching peers of a similar age and forming workplace relationships have largely been overlooked. Additionally, the absence of studies examining the advantages of early career status suggests missed opportunities to leverage these benefits for professional growth and retention. By utilizing qualitative analysis, this study offers new insights into both the difficulties and advantages early career educators encounter, providing valuable implications for future support and development strategies.

Early career medical educators in this study specifically highlighted their struggle to balance their new scholarship, teaching, and service responsibilities with their personal life. While this challenge may not be unique to ECMEs [ 16 , 17 ], this population is less likely to have acquired the experience, skills, and tools to properly manage these increased demands. The significant ambiguity surrounding the roles of medical educators [ 3 , 4 ] and lack of clearly defined pathway for success likely contribute to ECME’s difficulty in establishing a satisfactory balance. Instead of appropriately prioritizing and accomplishing tasks, ECMEs are spending precious time struggling to understand expectations. This ultimately exacerbates the stress inherently associated with navigating new workplace dynamics and likely contributes to the higher risk of burnout among early career educators [ 39 ].

To help ECMEs establish balance between competing responsibilities, institutions should strongly consider taking the time to establish and provide detailed and clearly defined expectations [ 28 ]. This helps ECMEs fully understand their duties, facilitates prioritization of tasks that will lead to individual and institutional success, and may reduce ECME’s feelings of being overwhelmed and burnt out [ 28 ]. It may also be beneficial for institutions to reinforce time management techniques (e.g., blocking off time for research, using planners, breaking down large goals into smaller ones) to improve the productivity and well-being of educators [ 40 ]. Establishing a network of adequate mentors that support ECMEs has also been cited as a critical component of faculty development [ 1 , 16 , 18 , 29 , 31 ]. Mentors may vary in their levels of expertise regarding pedagogy, content knowledge, and scholarship skills and ECMEs will likely require more than one mentor to accommodate their individualized needs. Mentors that share similar experiences and have overcome similar huddles are able to share tips for success and guide ECMEs on how to navigate and balance their new responsibilities.

Lack of Support

Early career medical educators in this study also reported a lack of research and educational support. Institutions may consider protecting ECME’s time at the beginning of their career as designing teaching materials may take longer for novices who are still working to develop pedagogical skills and become an expert in their discipline. Similarly, ECMEs will likely require more time to complete scholarship-related tasks. Institutions and departments will ultimately benefit if they allow ECMEs the time and space to develop these critical skills.

Early career medical educators should also be encouraged to participate in focused professional development opportunities in the form of seminars, conferences, retreats, online webinars, and workshops. Several organizations have successfully provided training and certificate programs specifically tailored for medical educators [ 41 , 42 , 43 ]. These opportunities highlight the need for adequate funding for ECME development, a sentiment echoed by the participants of the current study. Standardized funding should be prioritized, eliminating the need for faculty to repeatedly request funds, and instead providing a consistent amount every year dedicated to professional development. In addition to funded opportunities, institutions can consider exploring no-cost opportunities for skill development. For example, peer observation of teaching sessions can provide an avenue for constructive feedback for ECMEs about teaching practices in a non-threatening way [ 44 ].

While many ECMEs in the current study focused on the lack of research and educational support, the specific professional development needs of each individual are highly variable. Table 3 provides an overview of the needs highlighted by the participants of this study. Professional development that is tailored to ECMEs can help them achieve their goals and increase their overall well-being which may ultimately help institutions retain faculty members.

Perceived Inadequacies

Early career medical educators also expressed concern about perceived inadequacies as a faculty member. This theme stemmed from ECMEs’ perception of themselves and their perception of how other faculty and students viewed them. Some ECMEs felt that they were seen by senior faculty and students “as a student so this causes some students (and faculty) to treat [them] with less authority than some of [their] older colleagues.” The average age of medical students is in their mid–late 20 s [ 45 ], while many ECMEs are in their 30 s. This may discourage other faculty from interacting with ECMEs as peers or lead them to undervalue ECMEs opinions due to a perceived lack of experience. This proximity to student age may also contribute to students’ lack of trust in ECME’s ability to comprehend and teach the content compared to senior faculty. One ECME found that a student’s “perceived closeness to me as a peer, rather than an authority figure, can sometimes lead to a loss of professionalism” which can result in inappropriate social requests. Mentoring ECMEs on how to handle unusual situations with both students and faculty is critical. Connecting ECMEs with other early career educators to encourage peer mentoring can provide additional emotional and professional support [ 46 ]. Such mentoring can help ECMEs maintain a professional distance from students and establish their authority within the academic environment.

Some ECME’s perceptions of themselves contributed to their feelings of inadequacy. They reported feeling “unprepared or incapable” and questioned their own qualifications to be in their roles. Their perceptions of themselves may stem from imposter syndrome, which is the feeling that they are incompetent or undeserving to be in their position or role [ 47 ]. Encouraging ECMEs to discuss their feelings with support systems can help cope with imposter syndrome [ 48 ]. Having structured or informal sessions with experienced faculty can demonstrate that most faculty, both ECMEs and experienced faculty, have struggled or currently struggle with imposter syndrome and similar challenges. Additionally, resources such as workshops [ 49 ] and educational sessions involving small-group work [ 50 ] have been reported to combat imposter syndrome.

Workplace Friendships

Participants of this study identified some of the benefits of workplace friendships. As established by previous studies, the connections provided by workplace friendships are helpful in emotional, instrumental (e.g., tangible aid), and informational support [ 51 ]. Additionally, workplace friendships can provide a safeguard for work-related stress, aid against dissatisfaction in the workplace [ 51 ], and increase overall workplace happiness [ 52 ]. However, the participants of the current study cited age differences, time requirements, and COVID practices as barriers to creating these relationships. Institutions may consider establishing social outings, work lunches, and team building events to get ECMEs connected to other faculty and increase workplace rapport. Institutions should also prioritize connecting their ECMEs with ECMEs at other institutions, particularly if there are few ECMEs at their institution. Creating an internal and external network among ECMEs provides connections to those with similar experiences, helps ground the ECMEs in the field of medical education, provides a sense of belonging, and may promote retention. Figure  3 summarizes the most significant challenges identified by this study and highlights potential interventions.

Targeted strategies to address challenges experienced by early career medical educators

Early Career Medical Educator Advantages

Although there are various challenges for ECMEs, they also enjoy some specific advantages. Because many ECMEs completed their schooling relatively recently, they have a unique ability to understand and relate to students. Their proximity in age and shared experiences may help them appear more approachable and allow them to form unique connections with students. The importance of these teacher-student relationships should not be overlooked as they are often cited as the most rewarding aspect of a career in medical education [ 15 ]. ECMEs’ proximity to learning the content may also mean that they are able to utilize a shared language with students that allows them to explain complex topics at a more appropriate level.

They also bring a fresh perspective to curriculum development and quality improvement projects. They have immense potential to design innovative and technology-driven approaches to content delivery. Identification and celebration of these strengths are essential. Recognizing the value, they add to the medical education team which may help boost ECMEs’ confidence and moderate feelings of imposter syndrome. By capitalizing on individual ECME strengths and supporting opportunities for professional development, institutions can support their goals of recruiting and retaining medical educators to support the next generation of healthcare providers.

Limitations

The current study has some limitations. The participants of this study represent a single subset of the early career medical educators throughout the USA. While there is no source which provides complete data on all early career medical educators as defined by this study’s criteria, the 2023 AAMC U.S. Medical School Faculty Report [ 53 ] provides demographic information for basic science educators at the assistant professor level which can be used for comparison. According to this report [ 53 ], the average age of assistant professors was 44.8, 56.7% identified as White, and 51.3% identified as female. For comparison, the average age of participants in the current study was 37, 79.5% self-identified as White, and 71.8% self-identified as female. Additionally, a majority of respondents were anatomists. This may be due, in part, to the multitude of anatomy programs that are tailored for careers in medical education [ 54 ]. Therefore, generalizability to ECMEs who have different identities or areas of expertise than those represented in the current study may be limited as these factors likely play a significant role in an individual’s experience of the workplace.

The authors also recognize that those who participated in the survey were most likely to hold strong positive or negative opinions related to their early career medical educator journey. It is likely that the general population of early career medical educator experiences fall somewhere along the spectrum of challenges and advantages outlined by these participants. Finally, at the time of this study, both researchers were ECMEs. The researchers acknowledge that their unique perspectives have informed this work and employed reflexivity to reflect upon their own assumptions, beliefs, and judgments.

Future Directions

Future studies may focus on the development of ECME professional development activities which could be implemented upon starting a medical educator role or as courses in doctoral/postdoctoral programs prior to ECMEs entering the workforce. As indicated in the limitations, the authors recognize that there are a multitude of personal identities, demographic data, and job-specific responsibilities (e.g., the level of trainee being taught, the specific medical school mission) which will almost certainly influence the specific challenges and advantages experienced by early career medical educators. While the current study captures the general experiences of a subset of ECMEs, future studies may build upon this work by exploring the unique difficulties associated with specific populations of ECMEs. This may be especially important to consider among populations that are underrepresented in medicine as these groups may be particularly vulnerable to burnout [ 23 ]. Additionally, the study can be expanded by increasing survey outreach to include more disciplines and conducting faculty member interviews to further explore the difficulties and advantages associated with ECME status. Future studies may also build upon this research through the inclusion of researchers from different career stages.

Overall, ECMEs experience similar struggles faced by all medical educators, such as difficulty balancing responsibilities and lack of research and educational support. However, they have the least amount of experience navigating these traditional hurdles of academia. They also encounter unique challenges related to perceived inadequacies and difficulties associated with establishing workplace friendships. To aid ECMEs, institutions and departments can focus on helping ECMEs create meaningful support systems (e.g., mentorships, workplace friendships), creating clear expectations, and emphasizing professional development programs early in their career. Additionally, institutions should celebrate and capitalize upon ECMEs’ strengths by encouraging their creativity, innovation, and ability to connect with students.

Data Availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Steinert Y. Developing medical educators: a journey not a destination. In: Swanwick T, Forrest K, O’Brien BC, editors. Understanding medical education: evidence, theory and practice. 3rd ed. Hoboken, NJ: Wiley Blackwell; 2019. pp. 531–48.

Google Scholar  

Irby DM, O’Sullivan PS. Developing and rewarding teachers as educators and scholars: remarkable progress and daunting challenges. Med Educ. 2018. https://doi.org/10.1111/medu.13379 . Accessed 18 Nov 2022.

Hu WC, Thistlethwaite JE, Weller J, Gallego G, Monteith J, McColl GJ. ‘It was serendipity’: a qualitative study of academic careers in medical education. Med Educ. 2015. https://doi.org/10.1111/medu.12822 . Accessed 18 Nov 2022.

Riesenberg LA, Little BW, Wright V. Nonphysician medical educators: a literature review and job description resource. Acad Med. 2009. https://doi.org/10.1097/ACM.0b013e3181ad1a05 . Accessed 11 Mar 2024.

Milner RJ, Gusic ME, Thorndyke LE. Perspective: toward a competency framework for faculty. Acad Med. 2011. https://doi.org/10.1097/ACM.0b013e31822bd524 . Accessed 12 Mar 2024.

Srinivasan M, Li ST, Meyers FJ, Pratt DD, Collins JB, Braddock C, Skeff KM, West DC, Henderson M, Hales RE, Hilty DM. “Teaching as a competency”: competencies for medical educators. Acad Med. 2011. https://doi.org/10.1097/ACM.0b013e31822c5b9a . Accessed 12 Mar 2024.

Simpson D, Marcdante K, Souza KH, Anderson A, Holmboe E. Job roles of the 2025 medical educator. J Grad Med Educ. 2018:2024. https://doi.org/10.4300/JGME-D-18-00253.1 . Accessed 11 Mar 2024.

Sethi A, Ajjawi R, McAleer S, Schofield S. Exploring the tensions of being and becoming a medical educator. BMC Med Educ. 2017. https://doi.org/10.1186/s12909-017-0894-3 . Accessed 18 Nov 2024.

Browne J, Webb K, Bullock A. Making the leap to medical education: a qualitative study of medical educators’ experiences. Med Educ. 2018. https://doi.org/10.1111/medu.13470 . Accessed 18 Nov 2022.

Thomas LR, Roesch J, Haber L, Rendón P, Chang A, Timm C, Kalishman S, O’Sullivan P. Becoming outstanding educators: what do they say contributed to success? Adv Health Sci Educ. 2020. https://doi.org/10.1007/s10459-019-09949-7 . Accessed 12 Mar 2024.

Sabel E, Archer J, Early Careers Working Group at the Academy of Medical Educators. “Medical education is the ugly duckling of the medical world” and other challenges to medical educators’ identity construction: a qualitative study. Acad Med. 2014. https://doi.org/10.1097/ACM.0000000000000420 . Accessed 11 Mar 2024.

Hu WC, McColl GJ, Thistlethwaite JE, Schuwirth LW, Wilkinson T. Where is the next generation of medical educators? Med J Aust. 2013. https://doi.org/10.5694/mja12.11654 . Accessed 11 Mar 2024.

Sutherland KA. Constructions of success in academia: an early career perspective. Stud High Educ. 2017. https://doi.org/10.1080/03075079.2015.1072150 . Accessed 12 Mar 2024.

Bartle E, Thistlethwaite J. Becoming a medical educator: motivation, socialisation and navigation. BMC Med Educ. 2014. https://doi.org/10.1186/1472-6920-14-110 . Accessed 14 Mar 2024.

Brooks JV, Dickinson BL, Quesnelle KM, Bonaminio GA, Chalk-Wilayto J, Dahlman KB, Fulton TB, Hyland KM, Kruidering M, Osheroff N, Tuan RL. Professional identity formation of basic science medical educators: a qualitative study of identity supports and threats. Acad Med. 2023. https://doi.org/10.1097/ACM.0000000000005354 . Accessed 12 Mar 2024.

Cristancho S, Varpio L. Twelve tips for early career medical educators. Med Teach. 2016. https://doi.org/10.3109/0142159X.2015.1062084 . Accessed 12 Mar 2024.

Bosanquet A, Mailey A, Matthews KE, Lodge JM. Redefining ‘early career’ in academia: a collective narrative approach. High Educ Res Dev. 2017. https://doi.org/10.1080/07294360.2016.1263934 . Accessed 12 Mar 2024.

Hubbard K, Gretton S, Jones K, Tallents L. Challenges and opportunities for early-career teaching-focussed academics in the biosciences. F1000Res. 2015. https://doi.org/10.12688/f1000research.6227.2 . Accessed 11 Mar 2024.

Hollywood A, McCarthy D, Spencely C, Winstone N. ‘Overwhelmed at first’: the experience of career development in early career academics. J Furth High Educ. 2020. https://doi.org/10.1080/0309877X.2019.1636213 . Accessed 11 March 2024.

Tijdink JK, Vergouwen AC, Smulders YM. Emotional exhaustion and burnout among medical professors; a nationwide survey. BMC Med Educ. 2014. http://www.biomedcentral.com/1472-6920/14/183 . Accessed 12 Mar 2024.

Stine JG. I’m a junior faculty member at an academic medical center… now what? Dig Dis Sci. 2020. https://doi.org/10.1007/s10620-019-05946-3 . Accessed 12 Mar 2024.

Lan YL, Huang WT, Kao CL, Wang HJ. The relationship between organizational climate, job stress, workplace burnout, and retention of pharmacists. J Occup Health. 2020. https://doi.org/10.1002/1348-9585.12079 . Accessed 12 Mar 2024.

Lawrence JA, Davis BA, Corbette T, Hill EV, Williams DR, Reede JY. Racial/ethnic differences in burnout: a systematic review. J Racial Ethn Health Disparities. 2022. https://doi.org/10.1007/s40615-020-00950-0 . Accessed 7 Oct 2024.

GlobalData Plc. The complexities of physician supply and demand: projections from 2021 to 2036. AAMC; 2024.

Wilson AB, Notebaert AJ, Schaefer AF, Moxham BJ, Stephens S, Mueller C, Lazarus MD, Katrikh AZ, Brooks WS. A look at the anatomy educator job market: anatomists remain in short supply Anat Sci Educ. 2020. https://doi.org/10.1002/ase.1895 . Accessed 12 Mar 2024.

Edwards DN, Meyer ER, Brooks WS, Wilson AB. Faculty retirements will likely exacerbate the anatomy educator shortage Anat Sci Educ. 2023. https://doi.org/10.1002/ase.2217 . Accessed 12 Mar 2024.

Schmiedehaus E, Cordaro M, Perrotte J, Stern M, Dailey S, Howard K. The great resignation in higher education: an occupational health approach to understanding intentions-to-quit for faculty in higher education. Teach Teach Educ. 2023. https://doi.org/10.1016/j.tate.2022.103992 . Accessed 12 Mar 2024.

Yoon M, El-Haddad C, Durning S, Hu W. Coaching early-career educators in the health professions. Clin Teach. 2016. https://doi.org/10.1111/tct.12568 . Accessed 11 Mar 2024.

Loyal J, Porto A, Camenga D. Creating a program for junior faculty professional development: a tool kit. MedEdPORTAL. 2018. https://doi.org/10.15766/mep_2374-8265.10703 . Accessed 12 Mar 2024.

Danhauer SC, Tooze JA, Barrett NA, Blalock JS, Shively CA, Voytko ML, Crandall SJ. Development of an innovative career development program for early-career women faculty. Glob Adv Health Med. 2019. https://doi.org/10.1177/2164956119862986 . Accessed 12 March 2024.

Sorcinelli MD. Principles of good practice: supporting early-career. Washington, DC: American Association for Higher Education; 2000. Accessed 12 Mar 2024.

Simpson D, Marcdante K, Souza KH. The power of peers: faculty development for medical educators of the future. J Grad Med Educ. 2019. https://doi.org/10.4300/JGME-D-19-00613.1 . Accessed 12 Mar 2024.

Remmik M, Karm M, Haamer A, Lepp L. Early-career academics’ learning in academic communities. Int J Acad Dev. 2011. https://doi.org/10.1080/1360144X.2011.596702 . Accessed 12 Mar 2024.

Barlow J, Antoniou M. Room for improvement: the experiences of new lecturers in higher education. Innov Educ Teach Int. 2007. https://doi.org/10.1080/14703290601081365 . Accessed 11 Nov 2021.

Iglesias Martínez MJ, Lozano Cabezas I, Martínez Ruiz MÁ. Listening to the voices of novice lecturers in higher education: a qualitative study. Int J Teach Learn High Educ. 2014. https://rua.ua.es/dspace/bitstream/10045/45822/1/IJTLHE1691.pdf . Accessed 11 Nov 2021.

Solomon CR. “Sacrificing at the altar of tenure”: assistant professors’ work/life management. J Soc Sci. 2011. https://doi.org/10.1016/j.soscij.2010.11.006 . Accessed 11 Nov 2021.

Kramer B, Hartmann C, du Toit F, Hutchinson E, Pather N. Supporting early career anatomists: an international challenge. Ann Anat. 2020. https://doi.org/10.1016/j.aanat.2020.151520 . Accessed 12 Nov 2021.

Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006. https://doi.org/10.1191/1478088706qp063oa . Accessed 20 Nov 2021.

Akram Z, Sethi A, Khan AM, Zaidi FZ. Assessment of burnout and associated factors among medical educators. Pak J Med Sci. 2021. https://doi.org/10.12669/pjms.37.3.3078 . Accessed 1 Jul 2024.

Aeon B, Faber A, Panaccio A. Does time management work? A meta-analysis. PLOS One. 2021. https://doi.org/10.1371/journal.pone.0245066 . Accessed 1 Jul 2024.

AAMC. Professional development for medical educators. 2024. https://www.aamc.org/about-us/mission-areas/medicaleducation/professional-development-medical-educators . Accessed 1 Jul 2024.

IAMSE. Fundamentals of health professions education course (fundamentals). 2024. https://www.iamse.org/fundamentals-ofhealth-professions-education-course-fundamentals/ . Accessed 1 Jul 2024.

IAMSE. Fellowship program. 2024. https://www.iamse.org/fellowship-program/ . Accessed 1 Jul 2024.

Sullivan PB, Buckle A, Nicky G, Atkinson SH. Peer observation of teaching as a faculty development tool. BMC Med Educ. 2012. https://doi.org/10.1186/1472-6920-12-26 . Accessed 1 Jul 2024.

AAMC. Age of applicants to U.S. medical schools at anticipated matriculation by sex and race/ethnicity, 2014–2015 through 2017–2018. https://www.aamc.org/media/30456/download . Accessed 1 Jul 2024.

Dickson KS, Glass JE, Barnett ML, Graham AK, Powell BJ, Stadnick NA. Value of peer mentoring for early career professional, research, and personal development: a case study of implementation scientists. J Clin Transl Sci. 2021. https://doi.org/10.1017/cts.2021.776 . Accessed 1 Jul 2024.

Abdelaal G. Coping with imposter syndrome in academia and research. Biochemist. 2020. https://doi.org/10.1042/BIO20200033 . Accessed 1 Jul 2024.

LaDonna KA, Ginsburg S, Watling C. “Rising to the level of your incompetence”: what physicians’ self-assessment of their performance reveals about the imposter syndrome in medicine. Acad Med. 2018. https://doi.org/10.1097/ACM.0000000000002046 . Accessed 1 Jul 2024.

Rivera N, Feldman EA, Augustin DA, Caceres W, Gans HA, Blankenburg R. Do I belong here? Confronting imposter syndrome at an individual, peer, and institutional level in health professionals. MedEdPORTAL. 2021. https://doi.org/10.15766/mep_2374-8265.11166 .

Haney TS, Birkholz L, Rutledge C. A workshop for addressing the impact of the imposter syndrome on clinical nurse specialists. Clin Nurse Spec. 2018. https://doi.org/10.1097/NUR.0000000000000386 . Accessed 1 Jul 2024.

Kram KE, Isabella LA. Mentoring alternatives: the role of peer relationships in career development. Acad Manag J. 2024;1985(28):110–32. https://doi.org/10.5465/256064 . Accessed 1 Jul 2024.

Article   Google Scholar  

Yager J. Friendshifts: the power of friendship and how it shapes our lives. Stanford, CT: Hannacroix Creek Books; 1997.

Association of American Medical Colleges. U.S. medical school faculty annual report. 2023. https://www.aamc.org/datareports/faculty-institutions/report/faculty-roster-us-medical-school-faculty . Accessed 7 Oct 2024.

Hall TR, Mosley CF, Balta JY. Graduate anatomy education: how are we training the future generations of anatomy educators? Anat Sci Educ. 2024. https://doi.org/10.1002/ase.2365 . Accessed 1 Jul 2024.

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The authors wish to thank the participants who took the time to respond to the survey and to the professional societies for medical education and social media platforms that facilitated the distribution of the survey.

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Gundler, C.M., Allison, S. Navigating Uncharted Territory: A Qualitative Analysis of Challenges and Advantages Experienced by Early Career Medical Educators. Med.Sci.Educ. (2024). https://doi.org/10.1007/s40670-024-02205-7

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