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Research Topics – Ideas and Examples

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Research Topic

Definition:

Research topic is a specific subject or area of interest that a researcher wants to investigate or explore in-depth through research. It is the overarching theme or question that guides a research project and helps to focus the research activities towards a clear objective.

How to Choose Research Topic

You can Choose a Research Topic by following the below guide:

Identify your Interests

One of the most important factors to consider when choosing a research topic is your personal interest. This is because you will be spending a considerable amount of time researching and writing about the topic, so it’s essential that you are genuinely interested and passionate about it. Start by brainstorming a list of potential research topics based on your interests, hobbies, or areas of expertise. You can also consider the courses that you’ve enjoyed the most or the topics that have stood out to you in your readings.

Review the Literature

Before deciding on a research topic, you need to understand what has already been written about it. Conducting a preliminary review of the existing literature in your field can help you identify gaps in knowledge, inconsistencies in findings, or unanswered questions that you can explore further. You can do this by reading academic articles, books, and other relevant sources in your field. Make notes of the themes or topics that emerge and use this information to guide your research question.

Consult with your Advisor

Your academic advisor or a mentor in your field can provide you with valuable insights and guidance on choosing a research topic. They can help you identify areas of interest, suggest potential research questions, and provide feedback on the feasibility of your research proposal. They can also direct you towards relevant literature and resources that can help you develop your research further.

Consider the Scope and Feasibility

The research topic you choose should be manageable within the time and resource constraints of your project. Be mindful of the scope of your research and ensure that you are not trying to tackle a topic that is too broad or too narrow. If your topic is too broad, you may find it challenging to conduct a comprehensive analysis, while if it’s too narrow, you may struggle to find enough material to support your research.

Brainstorm with Peers

Discussing potential research topics with your peers or colleagues can help you generate new ideas and perspectives. They may have insights or expertise that you haven’t considered, and their feedback can help you refine your research question. You can also join academic groups or attend conferences in your field to network with other researchers and get inspiration for your research.

Consider the Relevance

Choose a research topic that is relevant to your field of study and has the potential to contribute to the existing knowledge. You can consider the latest trends and emerging issues in your field to identify topics that are both relevant and interesting. Conducting research on a topic that is timely and relevant can also increase the likelihood of getting published or presenting your research at conferences.

Keep an Open Mind

While it’s essential to choose a research topic that aligns with your interests and expertise, you should also be open to exploring new ideas or topics that may be outside of your comfort zone. Consider researching a topic that challenges your assumptions or introduces new perspectives that you haven’t considered before. You may discover new insights or perspectives that can enrich your research and contribute to your growth as a researcher.

Components of Research Topic

A research topic typically consists of several components that help to define and clarify the subject matter of the research project. These components include:

• Research problem or question: This is the central issue or inquiry that the research seeks to address. It should be well-defined and focused, with clear boundaries that limit the scope of the research.
• Background and context: This component provides the necessary background information and context for the research topic. It explains why the research problem or question is important, relevant, and timely. It may also include a literature review that summarizes the existing research on the topic.
• Objectives or goals : This component outlines the specific objectives or goals that the research seeks to achieve. It should be clear and concise, and should align with the research problem or question.
• Methodology : This component describes the research methods and techniques that will be used to collect and analyze data. It should be detailed enough to provide a clear understanding of how the research will be conducted, including the sampling method, data collection tools, and statistical analyses.
• Significance or contribution : This component explains the significance or contribution of the research topic. It should demonstrate how the research will add to the existing knowledge in the field, and how it will benefit practitioners, policymakers, or society at large.
• Limitations: This component outlines the limitations of the research, including any potential biases, assumptions, or constraints. It should be transparent and honest about the potential shortcomings of the research, and how these limitations will be addressed.
• Expected outcomes or findings : This component provides an overview of the expected outcomes or findings of the research project. It should be realistic and based on the research objectives and methodology.

Purpose of Research Topic

The purpose of a research topic is to identify a specific area of inquiry that the researcher wants to explore and investigate. A research topic is typically a broad area of interest that requires further exploration and refinement through the research process. It provides a clear focus and direction for the research project, and helps to define the research questions and objectives. A well-defined research topic also helps to ensure that the research is relevant and useful, and can contribute to the existing body of knowledge in the field. Ultimately, the purpose of a research topic is to generate new insights, knowledge, and understanding about a particular phenomenon, issue, or problem.

Characteristics of Research Topic

some common characteristics of a well-defined research topic include:

• Relevance : A research topic should be relevant and significant to the field of study and address a current issue, problem, or gap in knowledge.
• Specificity : A research topic should be specific enough to allow for a focused investigation and clear understanding of the research question.
• Feasibility : A research topic should be feasible, meaning it should be possible to carry out the research within the given constraints of time, resources, and expertise.
• Novelty : A research topic should add to the existing body of knowledge by introducing new ideas, concepts, or theories.
• Clarity : A research topic should be clearly articulated and easy to understand, both for the researcher and for potential readers of the research.
• Importance : A research topic should be important and have practical implications for the field or society as a whole.
• Significance : A research topic should be significant and have the potential to generate new insights and understanding in the field.

Examples of Research Topics

Here are some examples of research topics that are currently relevant and in-demand in various fields:

• The impact of social media on mental health: With the rise of social media use, this topic has gained significant attention in recent years. Researchers could investigate how social media affects self-esteem, body image, and other mental health concerns.
• The use of artificial intelligence in healthcare: As healthcare becomes increasingly digitalized, researchers could explore the use of AI algorithms to predict and prevent disease, optimize treatment plans, and improve patient outcomes.
• Renewable energy and sustainable development: As the world seeks to reduce its carbon footprint, researchers could investigate the potential of renewable energy sources such as wind and solar power, and how these technologies can be integrated into existing infrastructure.
• The impact of workplace diversity and inclusion on employee productivity: With an increasing focus on diversity and inclusion in the workplace, researchers could investigate how these factors affect employee morale, productivity, and retention.
• Cybersecurity and data privacy: As data breaches and cyber attacks become more common, researchers could explore new methods of protecting sensitive information and preventing malicious attacks.
• T he impact of mindfulness and meditation on stress reduction: As stress-related health issues become more prevalent, researchers could investigate the effectiveness of mindfulness and meditation practices on reducing stress and improving overall well-being.

Research Topics Ideas

Here are some Research Topics Ideas from different fields:

• The impact of social media on mental health and well-being.
• The effectiveness of various teaching methods in improving academic performance in high schools.
• The role of AI and machine learning in healthcare: current applications and future potentials.
• The impact of climate change on wildlife habitats and conservation efforts.
• The effects of video game violence on aggressive behavior in young adults.
• The effectiveness of mindfulness-based stress reduction techniques in reducing anxiety and depression.
• The impact of technology on human relationships and social interactions.
• The role of exercise in promoting physical and mental health in older adults.
• The causes and consequences of income inequality in developed and developing countries.
• The effects of cultural diversity in the workplace on job satisfaction and productivity.
• The impact of remote work on employee productivity and work-life balance.
• The relationship between sleep patterns and cognitive functioning.
• The effectiveness of online learning versus traditional classroom learning.
• The role of government policies in promoting renewable energy adoption.
• The effects of childhood trauma on mental health in adulthood.
• The impact of social media on political participation and civic engagement.
• The effectiveness of cognitive-behavioral therapy in treating anxiety disorders.
• The relationship between nutrition and cognitive functioning.
• The impact of gentrification on urban communities.
• The effects of music on mood and emotional regulation.
• The impact of microplastics on marine ecosystems and food webs.
• The role of artificial intelligence in detecting and preventing cyberattacks.
• The effectiveness of mindfulness-based interventions in managing chronic pain.
• The relationship between personality traits and job satisfaction.
• The effects of social isolation on mental and physical health in older adults.
• The impact of cultural and linguistic diversity on healthcare access and outcomes.
• The effectiveness of psychotherapy in treating depression and anxiety in adolescents.
• The relationship between exercise and cognitive aging.
• The effects of social media on body image and self-esteem.
• The role of corporate social responsibility in promoting sustainable business practices.
• The impact of mindfulness meditation on attention and focus in children.
• The relationship between political polarization and media consumption habits.
• The effects of urbanization on mental health and well-being.
• The role of social support in managing chronic illness.
• The impact of social media on romantic relationships and dating behaviors.
• The effectiveness of behavioral interventions in promoting physical activity in sedentary adults.
• The relationship between sleep quality and immune function.
• The effects of workplace diversity and inclusion programs on employee retention.
• The impact of climate change on global food security.
• The role of music therapy in improving communication and social skills in individuals with autism spectrum disorder.
• The impact of cultural values on the development of mental health stigma.
• The effectiveness of mindfulness-based stress reduction techniques in reducing burnout in healthcare professionals.
• The relationship between social media use and body dissatisfaction among adolescents.
• The effects of nature exposure on cognitive functioning and well-being.
• The role of peer mentoring in promoting academic success in underrepresented student populations.
• The impact of neighborhood characteristics on physical activity and obesity.
• The effectiveness of cognitive rehabilitation interventions in improving cognitive functioning in individuals with traumatic brain injury.
• The relationship between organizational culture and employee job satisfaction.
• The effects of cultural immersion experiences on intercultural competence development.
• The role of assistive technology in promoting independence and quality of life for individuals with disabilities.
• The impact of workplace design on employee productivity and well-being.
• The impact of digital technologies on the music industry and artist revenues.
• The effectiveness of cognitive behavioral therapy in treating insomnia.
• The relationship between social media use and body weight perception among young adults.
• The effects of green spaces on mental health and well-being in urban areas.
• The role of mindfulness-based interventions in reducing substance use disorders.
• The impact of workplace bullying on employee turnover and job satisfaction.
• The effectiveness of animal-assisted therapy in treating mental health disorders.
• The relationship between teacher-student relationships and academic achievement.
• The effects of social support on resilience in individuals experiencing adversity.
• The role of cognitive aging in driving safety and mobility.
• The effectiveness of psychotherapy in treating post-traumatic stress disorder (PTSD).
• The relationship between social media use and sleep quality.
• The effects of cultural competency training on healthcare providers’ attitudes and behaviors towards diverse patient populations.
• The role of exercise in preventing chronic diseases such as type 2 diabetes and cardiovascular disease.
• The impact of the gig economy on job security and worker rights.
• The effectiveness of art therapy in promoting emotional regulation and coping skills in children and adolescents.
• The relationship between parenting styles and child academic achievement.
• The effects of social comparison on well-being and self-esteem.
• The role of nutrition in promoting healthy aging and longevity.
• The impact of gender diversity in leadership on organizational performance.
• The effectiveness of family-based interventions in treating eating disorders.
• The relationship between social media use and perceived loneliness among older adults.
• The effects of mindfulness-based interventions on pain management in chronic pain patients.
• The role of physical activity in preventing and treating depression.
• The impact of cultural differences on communication and conflict resolution in international business.
• The effectiveness of eye movement desensitization and reprocessing (EMDR) in treating anxiety disorders.
• The relationship between student engagement and academic success in higher education.
• The effects of discrimination on mental health outcomes in minority populations.
• The role of virtual reality in enhancing learning experiences.
• The impact of social media influencers on consumer behavior and brand loyalty.
• The effectiveness of acceptance and commitment therapy (ACT) in treating chronic pain.
• The relationship between social media use and body image dissatisfaction among men.
• The effects of exposure to nature on cognitive functioning and creativity.
• The role of spirituality in coping with illness and disability.
• The impact of automation on employment and job displacement.
• The effectiveness of dialectical behavior therapy (DBT) in treating borderline personality disorder.
• The relationship between teacher-student relationships and school attendance.
• The effects of mindfulness-based interventions on workplace stress and burnout.
• The role of exercise in promoting cognitive functioning and brain health in older adults.
• The impact of diversity and inclusion initiatives on organizational innovation and creativity.
• The effectiveness of cognitive remediation therapy in treating schizophrenia.
• The relationship between social media use and body dissatisfaction among women.
• The effects of exposure to natural light on mood and sleep quality.
• The role of spirituality in enhancing well-being and resilience in military personnel.
• The impact of artificial intelligence on job training and skill development.
• The effectiveness of interpersonal therapy (IPT) in treating depression.
• The relationship between parental involvement and academic achievement among low-income students.
• The effects of mindfulness-based interventions on emotional regulation and coping skills in trauma survivors.
• The role of nutrition in preventing and treating mental health disorders.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How to Identify and Develop a Topic: .

How to identify and develop a topic.

It is difficult to define a topic with much specificity before starting your research. But until you define your topic, you won't know where to begin your search for information and you won't know what to look for. With a well-defined topic, you can focus your search strategies to find lots of relevant information without also finding a lot of useless stuff.

Selecting a topic to research is not a one-step task. Identifying and developing your topic is an ongoing process that does not end until you have finished your research project. Start with an idea you are interested in. Find and read some background information to get a better understanding of the topic, then use what you have learned to search for more specific information. Refine (broaden, narrow, refocus, or change) your topic, and try another search.  

Find a Topic

If you weren't assigned a specific topic and can't think of one:

• talk with your class instructor (who is, after all, the reason you are doing this project in the first place)
• find something interesting in the course reading assignments
• look at the entries and index of a subject encyclopedia
• ask a librarian to help you figure out a topic  

Narrow Your Topic

The initial idea for a research topic is often too broad. If your first searches for resources are so general that you find more information than you can click a mouse at or deal with in a reasonable amount of time (i.e. before the research project is due), focus on one of the following:

• a specific period of time
• a specific geographic location
• specific individuals or groups
• a specific aspect of the subject
• the viewpoint of a specific discipline  

Make it a Question

It is often helpful to state your topic in the form of a question. Treat the research project as an attempt to find a specific answer for a specific question.  

List Main Concepts

Pull out ideas and key terms that describe your topic. You can get a better idea of these by looking up your topic in an encyclopedia or other appropriate reference work. This will give you a better understanding of your topic, which will help you figure out what sources you will need and where you will need to look to find them.  

Analyze Your Topic

Where should you look for information? From what subject or discipline perspective are you looking at this topic? Do you need scholarly or popular sources? Will you need books, articles, sound recordings, primary sources, etc.?  

Select Appropriate Tools

Which tools do you need to find the type of information you want, (e.g. the library catalog for books, subject specific indexes for journal articles, etc.) See the library's guide to How to Find and Evaluate Sources for more.  

Initial Results

After you do an initial search, you can tell some things just from the number and type of sources you find. If you get a million or so hits, you probably need to narrow your topic. If you get only a few, broaden it. If the hits seem to be irrelevant to your topic, search using different terms. Do another search and see if you get what seems to be an appropriate amount of appropriate sources. Keep refining your search until you are satisfied with your results. Then go read them.  

After reading through some of the sources you find, you will get a better understanding of the topic you are researching. With this better understanding, you can revise your initial topic and its corresponding question for which you are so diligently seeking an answer. You can also refine your search strategy: the databases you search in, the keywords or subject terms you search for, etc. Go back and try another search using your revisions. Repeat as necessary until you have done enough research to know what to ask and how to answer it.

• Last Updated: Oct 20, 2020 8:13 PM
• URL: https://libguides.wesleyan.edu/topic

Main navigation

• For supervisees
• For supervisors
• Supervision Snapshots
• Ask an Associate Dean
• Graduate Mentorship
• Finding a Supervisor
• Purposes of the graduate degree
• Starting out
• Integrity and ethical practice in conduct of research
• Developing a conception of research

Defining the research topic

• Improving reading and writing skills
• Developing Transferable Skills
• Presenting at seminars and conferences
• Publishing during graduate studies
• Comprehensive exams
• Dissertation and thesis exams
• Practical advice
• Ideas for reflection

Conceptualizing your research topic

Conceptualizing a research topic entails formulating a “defensible and researchable” research question . Conducting a literature search as one of the first steps in a graduate degree is often quite helpful as published peer-reviewed research articles are key to identify knowledge gaps in current literature. Thus, students can design and phrase their research projects to aim to address these research gaps.

Elements of a good research topic

• Interesting: topic represents an area of deep interest for the researcher
• Original : for PhD students, the topic can produce an original contribution to knowledge
• Manageable: research question could be answered within the degree’s recommended time frame (see time limitation ).

At McGill, PhD students are usually expected to have a sufficiently defined research topic by the time of the comprehensive exam .

Seminar presentations can help with topic definition and project planning

Many experienced supervisors and successful PhD students suggest that preparing a research proposal for presentation at a seminar within six months of commencement helps with focusing on the topic. Here are some suggested questions:

• What is it that you want to find answers for?
• Why is it important that this be researched?
• What impact will this research have?
• How will you go about researching this?

Read critically to identify gaps in the field and understand different research methods

Critical reading involves developing an understanding of the knowledge and gaps in the field and being able to critique different research methods, methodologies and epistemologies.

Try concept mapping to visualize and organize links between ideas

Concept mapping: a practical strategy for students and researchers starting a project. It helps to identify areas of importance as well as possibilities for the exploration and analysis of such areas.

Concept maps are helpful as a means of focusing discussion on the topic or research question because they offer a visual approach to creating relationships among concepts . More information about concept mapping can be found at the Institute for Human and Machine Cognition's page on Constructing your first concept map .

• A concept map showing the main components of a concept map , from Novak & Canas (2008) .

If the student makes a concept map, this can form the basis of different discussions between the student and supervisor.

How important is motivation for topic selection?

Most graduate students have a general idea about what they would like to research. Depending on supervisors and disciplines, a student may be "given" a specific research topic or a list of topics to choose from or be asked to generate a topic based on her or his prior knowledge and experience. In either situation, it is a good idea to talk with others – supervisors, students, colleagues, peers, even friends and family – about possible choices, since a research topic is something most students will commit to for the rest of their degree.

Point to reflect on

• What questions, topics or methodologies are you passionate about? Why are you passionate about them (e.g., personal interest or curiosity, potential applications to help others or the environment)?
• Is it possible to answer your desired question within the time frame of a graduate degree? If not, is it possible to choose a portion of this topic to investigate during your graduate studies?
• Do you get more motivated from knowing exactly what you’re going to do, or from the excitement of unexpected discoveries or research trajectories? How can you select a topic and plan your project to better suit your sources of motivation See  Staying motivated  for additional resources

Steps to refine the research focus

• Identify the boundaries of the research areas and the gaps in the field .
• Make a list of possible research ideas within a topic.
• Discuss these ideas with others (e.g., peers, colleagues, professors, mentors). This can provide opportunities for receiving advice based on past experiences, additional ideas, or opportunities for collaboration.
• Reduce the list to two ideas : a first choice and a backup. Having a backup is useful in the event that the first choice is found to be inappropriate for the time restriction, require unattainable resources, or be otherwise not feasible.
• Brainstorm as many ideas, questions, possible problems, and any other thoughts relevant to the first choice.
• Narrow down these ideas into a more precise focus by considering feasibility (e.g., time, requires resources), interest, and significance. The resulting idea should complete the sentence “The purpose of this project is…”
• Refer back to the brainstorming and remove anything not relevant to the purpose statement. Add any new relevant ideas. Use these ideas as well as the purpose statement to create a list of researchable questions . Be sure to define key terms and consider required resources, including the characteristics of the participants if applicable.
• Create a project outline. Consider what information or data will be needed and how it can be obtained.

Adapted from Wisker (2005, p. 83) and Bell & Waters (2014)

Bell, J., & Waters, S. (2014). Doing your research project: A guide for first-time researchers . New York, NY: McGraw-Hill Education.

Novak, J. D., & Cañas, A. J. (2008). The theory underlying concept maps and how to construct and use them. Institute for Human and Machine Cognition . Retrieved from http://cmap.ihmc.us/docs/theory-of-concept-maps

Wisker, G. (2005). The good supervisor: Supervising postgraduate and undergraduate research for doctoral theses and dissertations . Basingstoke: Palgrave Macmillan.

This work is licensed under a Creative Commons Attribution Non-Commercial 4.0 International License . Graduate and Postdoctoral Studies, McGill University .

Department and University Information

Graduate and postdoctoral studies.

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Research Process

• Brainstorming
• Explore Google This link opens in a new window
• Explore Web Resources
• Explore Background Information
• Explore Books
• Explore Scholarly Articles
• Narrowing a Topic
• Primary and Secondary Resources
• Academic, Popular & Trade Publications
• Scholarly and Peer-Reviewed Journals
• Grey Literature
• Clinical Trials
• Evidence Based Treatment
• Scholarly Research
• Database Research Log
• Search Limits
• Keyword Searching
• Boolean Operators
• Phrase Searching
• Truncation & Wildcard Symbols
• Proximity Searching
• Field Codes
• Subject Terms and Database Thesauri
• Reading a Scientific Article
• Website Evaluation
• Article Keywords and Subject Terms
• Cited References
• Citing Articles
• Related Results
• Search Within Publication
• Database Alerts & RSS Feeds
• Personal Database Accounts
• Persistent URLs
• Literature Gap and Future Research
• Web of Knowledge
• Annual Reviews
• Systematic Reviews & Meta-Analyses
• Finding Seminal Works
• Exhausting the Literature
• Finding Dissertations
• Researching Theoretical Frameworks
• Research Methodology & Design
• Tests and Measurements
• Organizing Research & Citations This link opens in a new window
• Scholarly Publication
• Learn the Library This link opens in a new window

Finding a Research Topic

Which step of the research process takes the most time?

A. Finding a topic B. Researching a topic C. Both

How did you answer the above question? Do you spend most of your efforts actually researching a topic, or do you spend a lot of time and energy finding a topic? Ideally, you’ll want to spend fairly equal amounts of effort on both. Finding an appropriate and manageable topic can sometimes be just as hard as researching a topic.

A good research topic will have a body of related research which is accessible and manageable. Identifying a topic with these characteristics at the beginning  of the research process will ultimately save you time.

Finding a research topic that is interesting, relevant, feasible, and worthy of your time may take substantial effort so you should be prepared to invest your time accordingly. Considering your options, doing some background work on each option, and ultimately settling on a topic that is manageable will spare you many of the frustrations that come from attempting research on a topic that, for whatever reason, may not be appropriate.

Remember that as you are searching for a research topic you will need to be able to find enough information about your topic(s) in a book or scholarly journal. If you can only find information about your topic(s) in current event sources (newspapers, magazines, etc.) then the topic might be too new to have a large body of published scholarly information. If this is the case, you may want to reconsider the topic(s).

So how do you find a research topic? Unfortunately there’s no directory of topics that you pick and choose from, but there are a few relatively easy techniques that you can use to find a relevant and manageable topic. A good starting point may be to view the Library's Resources for Finding a Research Topic Workshop below.

The sub-pages in this section (on the left-hand menu) offer various tips for where and how to locate resources to develop your research topic. And for additional information on selecting a research topic, see the resources below.

• Defining a Topic - SAGE Research Methods
• Develop My Research Idea - Academic Writer Note: You MUST create an Academic Writer account AND start a paper in order to access this tool. Once you have done so, open a paper and click Research Lab Book in the left navigation menu.
• The Process for Developing Questions - ASC Guide

Resources for Finding a Research Topic Workshop

This workshop will introduce you to library resources which can be used to locate potential topics for a research paper or dissertation. This workshop explores websites, reference books, and scholarly articles, as well as review criteria to consider when selecting a topic.

• Resources for Finding a Research Topic Workshop Outline

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Research Process Guide

• Step 1 - Identifying and Developing a Topic
• Step 2 - Narrowing Your Topic
• Step 3 - Developing Research Questions
• Step 4 - Conducting a Literature Review
• Step 5 - Choosing a Conceptual or Theoretical Framework
• Step 6 - Determining Research Methodology
• Step 6a - Determining Research Methodology - Quantitative Research Methods
• Step 6b - Determining Research Methodology - Qualitative Design
• Step 7 - Considering Ethical Issues in Research with Human Subjects - Institutional Review Board (IRB)
• Step 8 - Collecting Data
• Step 9 - Analyzing Data
• Step 10 - Interpreting Results
• Step 11 - Writing Up Results

Step 1: Identifying and Developing a Topic

Whatever your field or discipline, the best advice to give on identifying a research topic is to choose something that you find really interesting. You will be spending an enormous amount of time with your topic, you need to be invested. Over the course of your research design, proposal and actually conducting your study, you may feel like you are really tired of your topic, however,  your interest and investment in the topic will help you persist through dissertation defense. Identifying a research topic can be challenging. Most of the research that has been completed on the process of conducting research fails to examine the preliminary stages of the interactive and self-reflective process of identifying a research topic (Wintersberger & Saunders, 2020).  You may choose a topic at the beginning of the process, and through exploring the research that has already been done, one’s own interests that are narrowed or expanded in scope, the topic will change over time (Dwarkadas & Lin, 2019). Where do I begin? According to the research, there are generally two paths to exploring your research topic, creative path and the rational path (Saunders et al., 2019).  The rational path takes a linear path and deals with questions we need to ask ourselves like: what are some timely topics in my field in the media right now?; what strengths do I bring to the research?; what are the gaps in the research about the area of research interest? (Saunders et al., 2019; Wintersberger & Saunders, 2020).The creative path is less linear in that it may include keeping a notebook of ideas based on discussion in coursework or with your peers in the field. Whichever path you take, you will inevitably have to narrow your more generalized ideas down. A great way to do that is to continue reading the literature about and around your topic looking for gaps that could be explored. Also, try engaging in meaningful discussions with experts in your field to get their take on your research ideas (Saunders et al., 2019; Wintersberger & Saunders, 2020). It is important to remember that a research topic should be (Dwarkadas & Lin, 2019; Saunders et al., 2019; Wintersberger & Saunders, 2020):

• Interesting to you.
• Realistic in that it can be completed in an appropriate amount of time.
• Relevant to your program or field of study.
• Not widely researched.

Dwarkadas, S., & Lin, M. C. (2019, August 04). Finding a research topic. Computing Research Association for Women, Portland State University. https://cra.org/cra-wp/wp-content/uploads/sites/8/2019/04/FindingResearchTopic/2019.pdf

Saunders, M. N. K., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson.

Wintersberger, D., & Saunders, M. (2020). Formulating and clarifying the research topic: Insights and a guide for the production management research community. Production, 30 . https://doi.org/10.1590/0103-6513.20200059

• Last Updated: Jun 29, 2023 1:35 PM
• URL: https://libguides.kean.edu/ResearchProcessGuide

How to Write a Research Paper: Defining Your Topic

• Getting Started
• Defining Your Topic
• Finding Background Information
• Creating a Thesis Statement
• Developing an Outline for Your paper
• Writing the Paper
• Editing and Revising the Paper
• Writing Style Guides and Citing Sources
• Annotated Bibliographies

Defining a Topic

Defining your topic is a multi-part process.

• First, choose your topic . If a specific topic is not assigned to you, you might get ideas for a topic from your course text, class notes, or class discussions, or by exploring some of the library's databases.  
• Remain flexible .  You may wish to change or alter your research topic depending on what you uncover in your research.  For instance, if you find too little information on a topic, you may wish to broaden your topic.  If you find too much information on a topic, you may wish to narrow your topic.  Or, if you find information you were not expecting, you may even want to alter your topic entirely. 
• If you do not know very much about your topic, find background information or an overview of the subject matter , then you can narrow it down as needed. Keep in mind that depending on your subject matter, you might need to broaden or refine your topic a bit.
• Print Encyclopedias There are general ones that can be found in the library such as Encyclopedia Americana that cover a broad subject range or more subject-specific ones such as The New Grove Dictionary of Music and Musicians .
• Online Encyclopedias The library also subscribes to a number of online encyclopedia databases such as Gale Virtual Reference Library, and Sage eReference  These databases, contain a wealth of background information on a wide variety of topics and can be easily searched through names, topics, and keywords. 
• Issues & Controversies and CQ Researcher These two databases contain information on current social issues and hot topics through multiple points of view.  They provide excellent background on these topics

Remote Access to the Databases

The databases listed in this Research Guide are available only to Truckee Meadows Community College students, faculty and staff.  You will need your TMCC credentials (Username and Password) to access them off-campus.

• Use these sources to identify keywords, synonyms, and related concepts . You can use these terms to begin searching in the library catalog for books, in databases for articles, and even Google or another search engine to find information on the Web.

--Modified from Morton College Library's Guide to Writing a Research Paper

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How to Research

Define a topic.

• Library Resources
• Web Resources
• Evaluate for Quality
• Research Tips & Search Strategies
• Academic Integrity
• Citation Styles
• Annotated Bibliography

• Understand assignment requirements .
• Select a topic for their research paper.
• Formulate a research question.
• Narrow or broaden a research question.
• Determine keywords and brainstorm search terms .

   If you are unsure about what is expected about your assignment, consult with your instructor.

Step 1: Understand Your Assignment

Understand your assignment.

Before setting out to complete an assignment, get to know what is required. Parts of the assignment description students should look for include:

• Due date. Plan out an adequate amount of time to learn about your assignment, conduct research, create citations, and write.
• Length. The length of an assignment will give you an idea of how much research you will need to do.
• Citation Style. It will give you an idea of how to format your assignment (e.g., single-spaced, double-spaced, font, etc.) and create references (e.g., APA Style). If this information is not present in your assignment description, check your course outline.
• Sources. This includes the number of sources and types of sources you will need to complete the assignment sufficiently (e.g., scholarly sources).

Assignment descriptions also provide useful context or background information that will help you with identifying a topic.

Source: Niagara College Libraries + Learning Commons Information Skills Online Handbook

Step 2: Select a Research Topic

• a) Topic Selection
• b) Background Research
• c) Research Question
• d) Assess Your Topic

Select a Topic

Carefully read over your assignment description.

• Have you been provided with options for topics or do you need to come up with your own topic?
• Is there something that is happening in the news that interests you?
• Is there something you have learned about in your studies that you would like to explore further?
• If you have any questions, ask your professor for clarification.

When selecting your topic, ask yourself these questions:

• WHY did you choose the topic? What interests you about it? Do you have an opinion about the issues involved?
• WHO  are the information providers on this topic? Who might publish information about it? Who is affected by the topic? Do you know of organizations or institutions affiliated with the topic?
• WHAT are the major questions for this topic? Is there a debate about the topic? Are there a range of issues and viewpoints to consider?
• WHERE is your topic important: at the local, national, or international level? Are there specific places affected by the topic?
• WHEN is/was your topic important? Is it a current event or an historical issue? Do you want to compare your topic by time periods?

Content reproduced from  MIT.edu   under a  Creative Commons Attribution Non-Commercial License

Background Research

Start researching your topic.

This process helps give you some background information about your topic prior to formulating your research question.

• Review your lecture notes and/or course readings for background information.
• You can use Wikipedia for your preliminary research - it often provides a concise overview of the topic with helpful links to open access (freely accessible) journal articles and resources. Do not cite Wikipedia articles in your final paper; however, sources cited on Wikipedia pages are free game (use our evaluation criteria before you cite!).
• Library subscribed  databases .
• A reputable encyclopedia: Encyclopedia Britannica or Funk and Wagnalls New World Encyclopedia .
• A major article on the topic.
• Library research guides .
• Books (and eBooks) on the subject.

Develop a Research Question

Once a topic has been selected and you have performed some background research, you can start developing a research question. 

Why Create a Research Question?

Research questions "help writers focus their research by providing a path through the research and writing process. The specificity of a well-developed research question helps writers avoid the 'all-about' paper and work toward supporting a specific, arguable thesis" (The Writing Center) .

Creating a Research Question

A good research question will require you to analyze an issue or problem. Developing a research question that asks about how or why tends to be more useful than a research question that asks what or describe questions (Monash University) .

You have already asked yourself the 5Ws in step a (Why, Who, What, Where, and When), next ask yourself:

• Is my research question clear and focused? Does your research question clearly state what you intend to research?
• Is my research question complex? Your question should not be able to be answered with a 'yes' or a 'no', but it also should not be too difficult to answer.
• Is my research question researchable? Are there enough resources available to answer your research question?

Sample Research Questions

Sample Research Questions from Indiana University Library

Assess Your Topic

Narrow your topic.

• If your topic is too broad, there will be too many resources for you to sift through.
• Limit your topic to a particular approach to the issue.
• Consider only one piece, or sub-area, of the subject.
• Limit the time span you examine.
• Limit by age, sex, race, occupation, species, or ethnic group.
• Limit by geographical location.

Content reproduced/adapted from  MIT.edu   under a  Creative Commons Attribution Non-Commercial License

Broaden Your Topic

• Broadening the scope of your topic by generalizing what you are looking for.
• Adjusting your topic to something that has been extensively written about if your topic is very new.
• Broadening the scope of language used in search terms. A great way to accomplish this is to include commonly used words (keywords) from your background research. Also, consider using a thesaurus to find synonyms to represent your topic.

Content reproduced/adapted from    under a  Creative Commons Attribution Non-Commercial License

Step 3: Create Keywords, Search Terms, & Thesis

• a) Determine Keywords
• b) Brainstorming Search Terms
• c) Searching
• d) Reassess Research Question

Determining Keywords

It will be easier to find information if you define your topic and identify the key concepts.

Step A) Take a look at your research question and ask yourself, what are the main concepts? These main concepts will become your keywords. 

The research question:

Keywords that describe this topic could include:

From this example, we have highlighted just the key words:

• Today's youth 
• Parents 
• "Better life" (this concept is a bit tricky. You will need to determine what you mean by "better life", such as economic status, healthcare, area of the world, etc.)

We have left out all other words and punctuation (do, have, a, than, their, ?) from our key words.

Brainstorming Search Terms 

Step B) Think of all the words, or synonyms , you can use to describe these keywords. By definition, synonyms are words that have a similar meaning and are interchangeable. To make this process easier, use a thesaurus to find synonyms.

To show this process, we have mapped out several synonyms and related terms to our three main terms we pulled from our research question. Related terms are a little different from synonyms as they do not always mean the exact same thing as the keywords, but are useful for broadening the scope of your search. We have also broken several terms into narrower and broad terms.

Synonyms & Related Terms

• Today's youth = teenagers = adolescents = young adults = Generation Z
• Parents = caregivers = mother = father
• "Better Life" = education = healthcare = finances = socioeconomic status = technology

Narrower Terms

• Education level < Education 
• Financial well-being < Finances

Broad Terms

• Finances > Debt
• Wealth > Income

Step C) Now that we have identified our main keywords, synonyms and related terms, as well as narrower and broad terms, we can start our background research by  searching on the web or in  library databases for resources related to our topic.

Often, a simple Google search will help you define your topic further.

Typing in our research question:  Do today's youth have a better life than their parents?  into the search bar of Google, we come across a very helpful resource put out by Pew Research Center .

[click on above image of a Google search to be sent to the Google results page]

Using resources such as the report from Pew Research Center, we can flesh out more of our research question with new knowledge of the factors that make life different between generations, including education level, income and wealth, housing, etc.

Reassess Research Question & Formulate Thesis

Step D)  Research is an ever-evolving, iterative process. After searching, you may find information that informs your research question and/or resulting search terms. At this point, you may wish to revisit the first two steps: Determining Keywords and Brainstorming Search Terms.

Alternatively, you may also choose to adapt your research question  into a thesis to fit this new information.

Example: 

Our original research question was: 

Based on some of our introductory research we conducted in Step C, it may be more valuable to narrow our research question to focus on a more specific topic, such as access to education. We can rework our research question into a thesis to reflect these changes:

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Choosing and Refining Topics

When we are given a choice of topics to write on, or are asked to come up with our own topic ideas, we must always make choices that appeal to our own interests, curiosity, and current knowledge. If you decide to write an essay on same sex marriage, for instance, it is obvious that you should make that decision because you are interested in the issue, know something about it already, and/or would like to know more about it. However, because we rarely write solely for our own satisfaction, we must consider matters other than our own interests as we choose topics.

A Definition of a Topic

A topic is the main organizing principle of a discussion, either verbal or written. Topics offer us an occasion for speaking or writing and a focus which governs what we say. They are the subject matter of our conversations, and the avenues by which we arrive at other subjects of conversations. Consider, for instance, a recent class discussion. Although your instructor determined what topic you discussed initially, some students probably asked questions that led to other topics. As the subjects of our discussions lead to related subjects, so do the topics we write about lead to related topics in our academic studies. However, unlike the verbal conversations we have, each individual piece of writing we produce usually focuses on a single topic. Most effective writers learn that when they present a well-defined, focused, and developed topic, they do a better job of holding their readers' attention and presenting appropriate information than if they had not attempted to place boundaries on the subject of their writing.

Arriving at Topics for Writing Assignments

In academic writing, topics are sometimes dictated by the task at hand. Consider, for example, that you must conduct a lab experiment before you can sit down to write a report. Or perhaps you have to run a statistical program to get your data. In these situations, your topic is determined for you: You will write about the results of the work you have completed. Likewise, your instructor may simply hand you a topic to explore or to research. In these situations, you are delivered from both the responsibility and the rewards of choosing your own topic, and your task is to try to develop an interest in what you have been given to write about.

More often, however, you will have a bit more leeway in choosing topics of your own. Sometimes you will be asked to find a topic of interest to you that is grounded in ideas developed in shared class readings and discussions. Other times, your assignment will be anchored even less, and you will be responsible for finding a topic all on your own. Many students find that the more freedom they are given to pursue their own interests, the more intimidated they are by this freedom, and the less certain they are of what really is interesting to them. But writing assignments with open topic options can be excellent opportunities either to explore and research issues that are already concerns for you (and which may even have been topics of earlier writing) or to examine new interests. A well chosen writing topic can lead to the types of research questions that fuel your academic interests for years to come. At the very least, though, topics can be seen as occasions for making your writing relevant and meaningful to your own personal and academic concerns.

How Purpose and Audience Affect the Choice of Topics

Before choosing and narrowing a topic to write about, consider why you are writing and who will read what you write. Your writing purpose and audience often dictate the types of topics that are available to you.

In the workplace, purpose and audience are often defined for you. For instance, you might have to write a memo to a co-worker explaining why a decision was made or compose a letter to a client arguing why the company cannot replace a product. In either case, your purpose and audience are obvious, and your topic is equally evident. As a student, you may have to work a little harder to determine which topics are appropriate for particular purposes and audiences.

Oftentimes, the wording of your assignment sheet will offer clues as to the reasons why you are writing and the audience you are expected to address. Sometimes, when assignment sheets are unclear or when you misunderstand what is expected of you, you will need either to ask your instructor about purpose and audience or to make your own educated guess. However you arrive at the purpose and the audience of your writing, it is important to take these elements into consideration, since they help you to choose and narrow your topic appropriately.

Interpreting the Assignment

Steve Reid, English Professor It's important to circle an assignment's key words and then ask the instructor to clarify what these words mean. Every teacher has a different vocabulary. My students always ask me what I'm looking for when I give an assignment. As a writer, you need to know what the words mean in your field and what they mean to your instructor.

Many times, an assignment sheet or verbal assignment given by an instructor will reveal exactly what you are being asked to do. The first step in reviewing an assignment sheet is to circle key words or verbs, such as "explain," "describe," or "evaluate." Then, once you've identified these words, make sure you understand what your instructor means by them. For example, suppose your instructor asks you to describe the events leading up to World War II. This could mean explain how the events prior to World War II helped bring about the beginning of the war, or list every possible cause you think led to the war, or describe and analyze the events. Inquiring before you start writing can help you determine your writing purpose and the expectations of your intended audience (usually your instructor).

How Purpose Affects Topics

Your purpose helps you to narrow a topic, since it demands particular approaches to a general subject. For example, if you're writing about how state policy affects foreign language study in grades K-12 in Oregon, you could have several different purposes. You may need to explain how the Oregon law came about; that is, what influenced it and who was responsible. Or perhaps you would need to explain the law's effects, how curriculum will be altered, etc. Another purpose might be to evaluate the law and to propose changes. Whatever purpose you decide to adopt will determine the questions which give direction to your topic, and (in the case of a research paper) will suggest the type of information you will need to gather in order to address those questions.

How Audience Affects Topics

Steve Reid, English Professor You have to be careful so your topic is not too narrow for your audience. You don't want readers to say, " Well, so what? I couldn't care less." One the most important roles a topic plays is impacting an audience. If your topic gets too narrow and too focused, it can become too academic or too pedantic. For example, every year at graduation, I watch people laugh when they hear the title of a thesis or dissertation. The students who wrote these documents were very narrowed and focused, but their audiences were very restricted.

Having a clear idea of the audience to whom you are writing will help you to determine an appropriate topic and how to present it. For example, if you're writing about how state policy affects foreign language study in grades K-12 in Oregon, you could have many different audiences. You could be writing for teachers, administrators at a specific school, students whose educational program will be affected by the law, or even the PTA. All of these audiences care about the topic since they are all affected by it. However, for each of them you may need to provide different information and address slightly different questions about this topic. Teachers would want to know why the policy was created and how it will affect what goes on in their classrooms. Parents will want to know what languages their children will be taught and why. Administrators will want to know how this will change the curriculum and what work will be required of them as a result. Knowing your audience requires you to adapt and limit your topic so that you are presenting information appropriate to a specific group of interested readers.

Choosing Workable Topics

Most writers in the workplace don't have to think about what's workable and what's not when they write. Writing topics make themselves obvious, being the necessary outcome of particular processes. For example, meetings inspire memos and minutes; research produces reports; interactions with customers result in letters. As a student writer, your task is often more difficult than this, since topics do not always "find you" this easily.

Finding and selecting topics are oftentimes arduous tasks for the writer. Sometimes you will find yourself facing the "blank page" or "empty screen" dilemma, lacking topic ideas entirely. Other times you will have difficulties making your ideas fit a particular assignment you have been given. This section on "Choosing a Workable Topic" addresses both of these problems, offering both general strategies for generating topic ideas and strategies for finding topics appropriate to particular types of writing assignments that students frequently encounter.

How to Find a Topic

Don Zimmerman, Journalism and Technical Communication Professor I look at topics from a problem solving perspective and scientific method. Topics emerge from writers working on the job when they're in the profession, following major trends, developments, issues, etc. From the scientific perspective, topics emerge based on solid literature reviews and developing an understanding of the paradigm. From these then come the specific problems/topics/subjects that professionals or scientists address. Writers generate topics from their professional expertise, their understanding of the issues in their respective disciplines, and their understanding the science that has gone before them.

While your first impulse may be to dash off to the library to dig through books and journals once you've received an assignment, you might also consider other information sources available to you.

Related Information: Making Use of Computer Sources

One valuable source of topic ideas is an Internet search. Many sites can provide you with current perspectives on a subject and can lead you to other relevant sites. You can also find and join newsgroups where your general subject or topic is discussed daily. This will allow you to ask questions of experts, as well as to read what issues are important.

Related Information: Making Use of Library Sources

It is always helpful, particularly in the case of writing assignments which demand research, to visit the library and talk to a reference librarian when generating topic ideas. This way, you not only get to discuss your topic ideas with another expert, but you will also have more resources pointed out to you. There is usually a wealth of journals, reference books, and online resources related to your topic area(s) that you may not even know exist.

Related Information: Talking to Others Around You

The people around you are often some of the best sources of information available to you. It is always valuable to talk informally about your assignment and any topic ideas you have with classmates, friends, family, tutors, professionals in the field, or any other interested and/or knowledgeable people. Remember, too, that a topic is not a surprise gift that must be kept from your instructor until you hand in your paper. Instructors are almost always happy to discuss potential topics with a student once he or she has an idea or two, and getting response to your work early in the writing process whenever possible is a good plan. Discussing your topic ideas in these ways may lead you to other ideas, and eventually to a well-defined topic.

Subjects and Topics

Most topic searches start with a subject. For example, you're interested in writing about languages, and even more specifically, foreign languages. This is a general subject. Within a general subject, you'll find millions of topics. Not only about every foreign language ever spoken, but also about hundreds of issues affecting foreign languages. But keep in mind that a subject search is always a good place to start.

Every time you use Yahoo or other Internet search engines, or even SAGE at the CSU library, you conduct a subject search. These search devices allow you to review many topics within a broad subject area. While it's beneficial to conduct subject searches, because you never know what valuable information you'll uncover, a subject always needs to be narrowed to a specific topic. This way, you can avoid writing a lengthy book and focus instead on the short research paper you've been assigned.

Starting With What You Know

Kate Kiefer, English Professor Most often the occasion dictates the topic for the writing done outside academe. But as a writer in school, you do sometimes have to generate topics. If you need help determining a topic, create an authority list of things you have some expertise in or a general list of areas you know something about and are interested in. Then, you can make this list more specific by considering how much you know and care about these ideas and what the target audience is probably interested in reading about.

In looking for writing topics, the logical first step is to consider issues or subjects which have concerned you in the past, either on the basis of life experience or prior writing/research. If you are a journal writer, look to your journal for ideas. If not, think about writing you have done for other writing assignments or for other classes. Though it is obviously not acceptable to recycle old essays you have written before, it is more than acceptable (even advisable) to return to and to extend topics you have written about in the past. Returning to the issues that concern you perennially is ultimately what good scholarship is all about.

Related Information: Choosing Topics You Want to Know More About

Even though your personal experience and prior knowledge are good places to start when looking for writing topics, it is important not to rule out those topics about which you know very little, and would like to know more. A writing assignment can be an excellent opportunity to explore a topic you have been wanting to know more about, even if you don't have a strong base knowledge to begin with. This type of topic would, of course, require more research and investigation initially, but it would also have the benefit of being compelling to you by virtue of its "newness."

Related Information: How to Pull Topics from Your Personal Experience

It is a good idea to think about how elements of your own life experience and environment could serve as topics for writing, even if you have never thought of them in that way. Think about the topics of recent conversations you have had, events in your life that are significant to you, problems in your workplace, family issues, matters having to do with college or campus life, or current events that evoke response from you. Taking a close look at the issues in your immediate environment is a good place to start in writing, even if those issues seem to you at first to be unworthy of your writing focus. Not all writing assignments have a personal dimension, but our interests and concerns are always, at their roots, personal.

General Strategies for Coming Up With Topics

Before attempting to choose or narrow a topic, you need to have some ideas to choose from. This can be a problem if you are suffering from the "blank page or screen" syndrome, and have not even any initial, general ideas for writing topics.

Brainstorming

As writers, some of our best ideas occur to us when we are thinking in a very informal, uninhibited way. Though we often think of brainstorming as a way for groups to come up with ideas, it is a strategy that individual writers can make use of as well. Simply put, brainstorming is the process of listing rough thoughts (in any form they occur to you: words, phrases, or complete sentences) that are connected (even remotely) to the writing assignment you have before you or the subject area you already have in mind. Brainstorming works best when you give yourself a set amount of time (perhaps five or ten minutes), writing down anything that comes to mind within that period of time, and resisting the temptation to criticize or polish your own ideas as they hit the page. There is time for examination and polishing when the five or ten minutes are over.

Freewriting

Freewriting is a technique much like brainstorming, only the ideas generated are written down in paragraph rather than list form. When you freewrite, you allow yourself a set amount of time (perhaps five or ten minutes), and you write down any and every idea that comes to mind as if you are writing a timed essay. However, your freewrite is unlikely to read like an organized essay. In fact, it shouldn't read that way. What is most important about freewriting is that you write continuously, not stopping to check your spelling, to find the right word, or even to think about how your ideas are fitting together. If you are unable to think of something to write, simply jot out, "I can't think of anything to write now," and go on. At the end of your five or ten minutes, reread what you have written, ignore everything that seems unimportant or ridiculous, and give attention to whatever ideas you think are worth pursuing. If you are able to avoid checking yourself while you are writing for that short time, you will probably be surprised at the number of ideas that you already have.

Clustering is a way of visually "mapping" your ideas on paper. It is a technique which works well for people who are able to best understand relationships between ideas by seeing the way they play themselves out spatially. (If you prefer reading maps to reading written directions, clustering may be the strategy for you.) Unlike formal outlining, which tends to be very linear, clustering allows you to explore the way ideas sprawl in different directions. When one thought leads to another, you can place that idea on the "map" in its appropriate place. And if you want to change its position later, and connect it with another idea, you can do so. (It is always a good idea to use a pencil rather than a pen for clustering, for this very reason.)

This is a good strategy not only for generating ideas, but also for determining how much you have to say about a topic (or topics), and how related or scattered your ideas are.

Related Information: Example of Brainstorming

Ideas on a Current Issue:

• multiculturalism
• training of teachers
• teaching strategies
• cultural difference in the classroom
• teaching multicultural texts
• language issues
• English only
• assimilation, checking cultural identity at the door
• home language/dialect as intentionally different from school language
• How many languages can we teach? (How multi-lingual must teachers be?)
• Is standard English really "standard"?
• success in school
• statistics on students who speak "non-English" languages or established dialects
• the difference between a dialect and a language
• Ebonics v. bi-lingual education

Related Information: Example of Freewriting

Problem: Development of Small Towns in the Rocky Mountain Region

When I grew up in Anyoldtown, New Mexico, it was a small town in the smallest sense: no movie theaters, no supermarkets, nothing. We had to go into town for the things we needed. Land sold for $2000 an acre. Now it sells for about $50,000 an acre. Anyoldtown was also primarily hispanic, and the families who lived there had very little. Now the people who live there are mostly white and almost exclusively professionals: doctors, lawyers, stockbrokers, and an endless number of people who have money that seems to have come from nowhere. There are good things to be had there now: good restaurants, good coffee, and all the other things that come along with Yuppie invasion. But those things were had at quite a cost. People who used to live in Anyoldtown when I was a kid can no longer afford to pay property taxes. I can't think of anything else to write now. Oh, yes...these people made a killing off the sale of their land and properties, but they had to give up the places they had lived all their lives. However, by the time they sold, Anyoldtown was no longer the place where they had lived all their lives anyway.

Strategies for Finding Topics Appropriate to Particular Types of Assignments

Sometimes your ways of generating topics will depend on the type of writing assignment you have been given. Here are some ideas of strategies you can use in finding topics for some of the more common types of writing assignments:

Essays Based on Personal Experience

Essays responding to or interpreting texts.

• Essays in Which You Take a Position on an Issue (Argument)

Essays Requiring Research

Essays in which you evaluate, essays in which you propose solutions to problems.

The great challenge of using personal experience in essays is trying to remember the kinds of significant events, places, people, or objects that would prove to be interesting and appropriate topics for writing. Brainstorming, freewriting, or clustering ideas in particular ways can give you a starting point.

Here are a few ways that you might trigger your memory:

Interview people you've known for a long time.Family members, friends, and other significant people in your life can remember important details and events that you haven't thought about for years.

Try to remember events from a particular time in your life. Old yearbooks, journals, and newspapers and magazines can help to trigger some of these memories.

Think about times of particular fulfillment or adversity. These "extremes" in your experience are often easily recalled and productively discussed. When have you had to make difficult choices, for instance? When have you undergone ethical struggles? When have you felt most successful?

Think about the groups you have encountered at various times in your life. When have you felt most like you belonged to or were excluded from groups of people: your family, cliques in school, clubs, "tracked" groups in elementary school, religious groups, or any other community/organization you have had contact with?

Think about the people or events that "changed your life." What are the forces that have most significantly influenced and shaped you? What are the circumstances surrounding academic, career, or relationship choices that you have made? What changes have you dealt with that have been most painful or most satisfying?

Try to remember any "firsts" in your experience.What was your first day of high school like? What was it like to travel far from home for the first time? What was your first hobby or interest as a child? What was the first book you checked out of the library? These "firsts," when you are able to remember them, can prove to have tremendous significance.

One word of caution on writing about personal experience: Keep in mind that any essay you write for a class will most likely be read by others, and will probably be evaluated on criteria other than your topic's importance to you. Never feel like you need to "confess," dredge up painful memories, or tell stories that are uncomfortable to you in academic writing. Save these topics for your own personal journal unless you are certain that you are able to distance yourself from them enough to handle the response that comes from instructors (and sometimes from peers).

Students are often asked to respond to or interpret essays, articles, books, stories, poems, and a variety of other texts. Sometimes your instructor will ask you to respond to one particular reading, other times you will have a choice of class readings, and still other times you will need to choose a reading on your own.

If you are given a choice of texts to respond to or to interpret, it is a good idea to choose one which is complex enough to hold your interest in the process of careful examination. It is not necessarily a problem if you do not completely understand a text on first reading it. What matters is that it challenges, intrigues, and/or evokes response from you in some way.

Related Information: Writing in the Margins of Texts

Many of us were told at some point in our schooling never to write in books. This makes sense in the case of books which don't belong to us (like library books or the dusty, tattered, thirty year-old copies of Hamlet distributed to us in high school). But in the case of books and photocopies which we have made our own, writing in the margins can be one of the most productive ways to begin the writing process.

As you read, it is a good idea to make a habit of annotating , or writing notes in the margins. Your notes could indicate places in the text which remind you of experiences you have had or of other texts you have read. They could point out questions that you have, points of agreement or disagreement, or moments of complete confusion. Annotations begin a dialogue between you and the text you have before you, documenting your first (and later) responses, and they are valuable when you attempt at a later time to write about that text in a particular way.

Essays in Which You Take a Position on an Issue

One of the most common writing assignments given is some variation on the Arguing Essay, in which students are asked to take a position on a controversial issue. There are two challenges involved in finding topics for argument. One challenge is identifying a topic that you are truly interested in and concerned about, enough so that whatever research is required will be engrossing (or at the very least, tolerable), and not a tedious, painful ordeal. In other words, you want to try to avoid arriving at the "So what?" point with your own topic. The other challenge is in making sure that your audience doesn't respond, "So what?" in reading your approach to your topic. You can avoid this by making sure that the questions you are asking and addressing are current and interesting.

Related Information: Examining Social Phenomena and Trends

In The St. Martin's Guide to Writing , Third Edition, Rise B. Axelrod and Charles R. Cooper discuss the importance of looking toward social phenomena and trends for sources of argument topics. A phenomenon , they explain, is "something notable about the human condition or the social order" (314). A few of the examples of phenomena that they list are difficulties with parking on college campuses, negative campaigning in politics, popular artistic or musical styles, and company loyalty. A trend , on the other hand, is "a significant change extending over many months or years" (314). Some trends they list are the decline of Communism, diminishing concern over world hunger, increased practice of home schooling, and increased legitimacy of pop art. Trying to think in terms of incidental, current social phenomena or long-term, gradual social trends is a good way of arriving at workable topics for essays requiring you to take a position.

Related Information: Making Sure Your Approach to Your Topic is Current and Interesting

In choosing a topic for an arguing essay, it is important to get a handle not only on what is currently being debated, but how it is being debated. In other words, it is necessary to learn what questions are currently being asked about certain topics and why. In order to avoid the "so what" dilemma, you want to approach your topic in a way that is not simplistic, tired, outdated, or redundant. For example, if you are looking at the relationship of children to television, you probably would want to avoid a topic like "the effects of t.v. violence on children" (which has been beaten to death over the years) in favor of a topic like "different toy marketing strategies for young male v.s. female viewers of Saturday morning cartoons" (a topic that seems at least a bit more original).

As a student writer, you are usually not asked to break absolutely new ground on a topic during your college career. However, you are expected to try to find ground that is less rather than more trampled when finding and approaching writing topics.

Trying to think in terms of incidental, current social phenomena or long-term, gradual social trends is a good way of arriving at workable topics for essays requiring you to take a position.

Related Information: Sources of Topics

Looking to Your Own Writing

When trying to rediscover the issues which have concerned you in the past, go back to journal entries (if you are a journal writer) or essays that you have written before. As you look through this formal and informal writing, consider whether or not these issues still concern you, and what (specifically) you now have to say about them. Are these matters which would concern readers other than yourself, or are they too specific to your own life to be interesting and controversial to a reading audience? Is there a way to give a "larger" significance to matters of personal concern? For example, if you wrote in your journal that you were unhappy with a particular professor's outdated teaching methods, could you turn that idea into a discussion of the downfalls of the tenure system? If you were frustrated with the way that your anthropology instructor dismissed your comment about the ways that "primitive" women are discussed, could you think of that problem in terms of larger gender issues? Sometimes your frustrations and mental conflicts are simply your own gripes, but more often than not they can be linked with current and widely debated issues.

Looking to Your Other Classes

When given an assignment which asks you to work with a controversial issue, always try to brainstorm points of controversy that you recall from current or past courses. What are people arguing about in the various disciplines? Sometimes these issues will seem irrelevant because they appear only to belong to those other disciplines, but there are oftentimes connections that can be made. For example, perhaps you have been asked in a communications class to write an essay on a language issue. You might remember that in a computer class on information systems, your class debated whether or not Internet news groups are really diverse or not. You might begin to think about the reasons why news groups are (or aren't) diverse, thinking about the way that language is used.

Reading Newspapers and Magazines

If you are not already an avid newspaper and magazine reader, become one for a week. Pore over the different sections: news, editorials, sports, and even cartoons. Look for items that connect with your own life experiences, and pay attention to those which evoke some strong response from you for one reason or another. Even if an issue that you discover in a newspaper or magazine doesn't prove to be a workable topic, it might lead you to other topic ideas.

Interviewing the People Around You

If you are at a loss to find an issue that lights a fire under you, determine what fires up your friends, family members, and classmates. Think back to heated conversations you have had at the dinner table, or conduct interviews in which you ask the people around you what issues impact their lives most directly. Because you share many experiences and contexts with these people, it is likely that at least some of the issues that concern them will also concern you.

Using the Internet

It is useful to browse the Internet for current, controversial issues. Spend some time surfing aimlessly, or wander through news groups to see what is being discussed. Using the Internet can be one of the best ways to determine what is immediately and significantly controversial.

Although some essays that students are asked to write are to be based solely on their own thoughts and experience, oftentimes (particularly in upper level courses) writing assignments require research. When scoping out possible research topics, it is important to remember to choose a topic which will sustain your interest throughout the research and writing process. The best research topics are those which are complex enough that they offer opportunities for various research questions. You want to avoid choosing a topic that could bore you easily, or that is easily researched but not very interesting to you.

As always, it is good to start searching for a topic within your personal interests and previous writing. You might want to choose a research topic that you have pursued before and do additional research, or you might want to select a topic about which you would like to know more. More than anything, writers must remember that research will often carry them in different directions than they intend to go, and that they must be flexible enough to acknowledge that their research questions and topics must sometimes be adjusted or abandoned. To read more on narrowing and adjusting a research topic, see the section in this guide on Research Considerations.

Related Information: Flexibility in Research

As you conduct your research, it is important to keep in mind that the questions you are asking about your topic (and oftentimes, the topic itself) will probably change slightly. Sometimes you are forced to acknowledge that there is too much or too little information available on the topic you have chosen. Other times, you might decide that the approach you were originally taking is not as interesting to you as others you have found. For instance, you might start with a topic like "foreign language studies in grades K-12 in Oregon," and in the process of your reading you might find that you are really more interested in "bilingual education in rural Texas." Still other times, you might find that the claim you were attempting to make about your topic is not arguable, or is just wrong.

Our research can carry us in directions that we don't always foresee, and part of being a good researcher is maintaining the flexibility necessary to explore those directions when they present themselves.

Related Information: How Research Narrows Topics

By necessity, most topics narrow themselves as you read more and more about them. Oftentimes writers come up with topics that they think will be sufficiently narrow and engaging--a topic like "multiculturalism and education," for instance--and discover through their initial reading that there are many different avenues they could take in examining the various aspects of this broad issue. Although such discoveries are often humbling and sometimes intimidating, they are also a necessary part of any effective research process. You can take some comfort in knowing that you do not always need to have your topic narrowed to its final form before you begin researching. The sources you read will help you to do the necessary narrowing and definition of your focus.

Related Information: Research Topics and Writing Assignments

When you are choosing a research topic, it is important to be realistic about the time and space limitations that your assignment dictates. If you are writing a graduate thesis or dissertation, for instance, you might be able to research a topic as vast and as time-honored as "the portrayal of women in the poetry of William Blake." But if your assignment asks you to produce a five-page essay by next Tuesday, you might want to focus on something a bit more accessible, like "the portrayal of women in Blake's `The Visions of the Daughters of Albion.'"

Related Information: Testing Research Topics

Early in your research and writing process, after you have found a somewhat narrow avenue into your topic, put the topic to the test to see if you really want to pursue it further in research. Rise B. Axelrod and Charles R. Cooper, in The St. Martin's Guide to Writing , Third Edition, suggest some questions writers might ask themselves when deciding whether or not a research topic is workable:

• Does this topic really interest me?
• Do I know enough about it now to plan and write my essay, or can I learn what I need to know in the time I have remaining?
• Is the topic manageable within my time and space limits?
• Do I have a good sense of how others view this issue and what readers I might address in my essay?
• Have I begun to understand the issue and to formulate my own view?

Students are often asked to write essays in which they evaluate something: a product, a piece of writing, a restaurant, an advertising campaign, or some other entity related to their areas of study. Sometimes when you are given this type of writing assignment, you are also given a very specific topic on which to write. Other times, you are asked to find a topic for evaluation on your own.

Related Information: Comparing and Contrasting

After brainstorming a list of possible topics for evaluation, you may find it difficult to determine whether or not you will be able to effectively evaluate those topics. One way of stimulating your mind's evaluative tendencies is to try comparison and contrast. For example, if you are thinking about evaluating a local Thai restaurant, and you are having trouble coming up with points on which to evaluate it, try comparing and contrasting it with another local Thai restaurant. When we begin to compare two items, ideas, places, or people, we invariably wind up evaluating.

Related Information: Generating an Authority List

If the choice of topics to evaluate is open to you, try brainstorming a list of skills, activities, places, or subjects that you consider yourself to be an authority about. A list like this is a good starting point for just about any essay, but it is particularly useful in evaluation. If you are an avid rock climber, for instance, it makes perfect sense for you to evaluate climbing equipment, since your experience will provide you with a basis for evaluation. It may still be necessary to do research, but you will have a head start even before you begin researching.

Related Information: Questions to Ask Yourself as You Evaluate

In testing possible topics for evaluation, you might ask yourself some very general questions about your initial thoughts. Rise B. Axelrod and Charles R. Cooper, in their St. Martin's Guide to Writing , Third Edition, suggest a few such questions:

• How certain am I of my judgment? Do I have any doubts? Why do I feel the way I do?
• Do I like (or dislike) everything about my subject, or only certain parts?
• Are there any similar things I should consider (other products or movies, for example)?
• Is there anything I will need to do right away in order to research this subject authoritatively?
• If I need to do any research, can I get the information I need?

As a writer, you will sometimes be asked to speculate on possible solutions to known problems. Although the process of problem solving is itself quite difficult, one of the greatest challenges about that process is the matter of finding a topic that lends itself to your purpose.

Related Information: Evaluating and Problem Solving

Problem solving is an extension of the evaluating process. If in the past you have written evaluative essays which identify certain problems, these essays might offer you some topic ideas and starting points. You might also look to personal writing you have done (like journal entries) or recent conversations you have had as ways of recalling the types of problems that you have identified in your general environment.

Related Information: Focusing on Solvable Problems

Obviously, not all problems are appropriate topics for short problem solving essays. For example, if your instructor assigns a ten-page problem solving essay dealing with a current problem of your choice, you might want to avoid a topic as vast as "racism." However, if you were to focus on a more context-specific version of this hulking problem, you might find a workable topic (say, for instance, minority enrollment on your campus). For assignments like these, it is important to choose problems that appear solvable (or at least approachable) in the time and space you have available to you.

Related Information: Identifying Problems Within Communities

One excellent source of topics for problem solving essays is your immediate environment. Think about the groups or communities to which you belong: your neighborhood, college, family, ethnic and cultural groups, religious and political groups, workplace, and recreational groups. Try to brainstorm a list of problems that you can readily identify in any of these communities, then consider both how solvable these problems are and how appropriate they are to your writing assignment.

Generating More Than One Topic Idea

In order to choose a topic, you need to have several available to choose from. It is best to avoid being committed to one topic at this first stage of the writing process, since not every topic will pan out. Writers are usually more successful when they have a selection of topics which they can put to the test to determine whether or not they are workable (given the writing assignment).

Narrowing Topics

The scope of a topic depends on how much time and space you have to write and how much detail you are trying to use. For example, describing all the causes of World War II in three pages is impossible. You would have to either narrow your topic some more or write hundreds of pages to adequately discuss every cause. Defining your topic before you start writing will save you time and help you to research and/or to develop your thinking in a clear, methodical way. It is important to examine the topics we choose to determine whether they are too broad (or, in some instances, too narrow) for the writing assignments we are given. Once you have decided that a topic is too broad to be appropriate to your assignment (which is most often the case), you will need to have ways to narrow it. You will also want to consider, when writing essays that require research, how your research resources and limitations affect your choice of topics.

Deciding When a Topic is Too Broad

Kate Kiefer, English Professor If a writer doesn't present details quickly enough, then the topic is usually too broad. If the reader can expect the paper to go in one direction, but it goes in another, the topic is usually too broad or not stated precisely enough. If I can ask six million questions about whether the writer will include this or that point, the topic is too broad. If I do a library search and turn up 200 listings (or an Internet search and discover 1,000 hits), the topic is too broad.

A topic is too broad to be workable when you find that you have too many different (but oftentimes remotely related) ideas about that topic. While you want to start the writing process with as many ideas as possible, you will want to narrow your focus at some point so that you aren't attempting to do too much in one essay.

Where essays requiring research are concerned, your topic is too broad if you are able to find thousands of sources when conducting a simple library or Internet search. For example, conducting a search on "foreign languages in Oregon" will provide you with policies, foreign language departments, and cultural issues (just to name a few). When this happens, you can try various narrowing strategies to determine what most interests you about your topic area and what relates to your own life most readily. For instance, if you plan to study abroad, focusing on the language you'll be speaking might be a way to narrow the scope of your original topic, "foreign languages in Oregon."

Deciding When a Topic Is Too Narrow

Steve Reid, English Professor You have to careful so your topic is not too narrow for your audience. You don't want readers to say, " Well, so what? I couldn't care less." One the most important roles a topic plays is impacting an audience. If you get so narrowed and focused, a topic can become too academic or pedantic. For example, every year at graduation I watch people laugh when they hear the title of a thesis or dissertation. The students who wrote these documents were very narrowed and focused, but their audiences were very restricted.

Though student writers most often face the challenge of limiting a topic that is too broad, they occasionally have to recognize that they have chosen a topic that is too narrow or that they have narrowed a workable topic too much. A topic is too narrow if you can't find any information about it. For example, suppose your foreign language subject to, "foreign language policy in South Dakota." Although you might have a strong interest in this topic, South Dakota may not have a specific policy about foreign languages. If you have chosen the topic, "teaching Chinese in elementary schools," and your research attempts have been fruitless, it may be that you are considering a topic that no one else has previously presented. In other words, no one has determined that Chinese should be a major language taught as commonly as Spanish or French. If this happens to be the case, keep your topic in mind, because it could very well be an excellent topic for a graduate thesis or dissertation. However, it is also likely to be a difficult topic to handle in a ten-page essay for an education class, due in two weeks.

If your topic is too narrow, try making it broader by asking yourself related questions.

• What foreign languages are taught in South Dakota schools?
• Or where is Chinese taught and why?

Once you've found a different direction in which to move with your topic, you can try narrowing it again.

General Strategies for Narrowing Topics

One of the first things writers do when they realize that they need to narrow the scope of their topic is to ask themselves the "w" questions so familiar to journalists: Who? What? Where? When? and Why? (and oftentimes, How?) These questions can help you locate your specific points of interest within your general topic area. For example, to narrow a topic like "foreign languages," you could begin with the "what" and "when" questions and decide you are interested in "foreign language studies in grades K-12." Asking the "where" question, you might arrive at "foreign language studies in grades K-12 in Oregon." And asking the "who" question might cause you to limit the topic again to "state policy regarding foreign language studies in grades K-12 in Oregon." Each time you add something specific to your topic, you place "restrictors" on it, thereby narrowing it. Then, when you conduct a library or Internet search, you can use these "restrictors" as key words.

Related Information: Looping

Looping is an extended version of freewriting in which you begin with an initial five-minute freewrite on a general topic, then select out of that bit of writing the sentence or idea that interests you the most. You then use that sentence or idea as the basis for your next five-minute round of freewriting. You continue this process of elaborating informally on specific ideas until you come to a point where your topic seems sufficiently narrow, researchable, and appropriate to your writing assignment.

Example of Looping If I am freewriting on the general (and overly broad) topic of "development of small towns in the Rocky Mountain region," I might start with the following initial ideas: Problem: Development of Small Towns in the Rocky Mountain Region When I grew up in Anyoldtown, New Mexico, it was a small town in the smallest sense: no movie theaters, no supermarkets, nothing. We had to go into town for the things we needed. Land sold for $2000 an acre. Now it sells for about $50,000 an acre. Anyoldtown was also primarily hispanic, and the families who lived there had very little. Now the people who live there are mostly white and almost exclusively professionals: doctors, lawyers, stockbrokers, and an endless number of people who have money that seems to have come from nowhere. There are good things to be had there now: good restaurants, good coffee, and all the other things that come along with Yuppie invasion. But those things were had at quite a cost. People who used to live in Anyoldtown when I was a kid can no longer afford to pay property taxes. I can't think of anything else to write now. Oh, yes...these people made a killing off the sale of their land and properties, but they had to give up the places they had lived all their lives. However, by the time they sold, Anyoldtown was no longer the place where they had lived all their lives anyway. Rereading what I have written, I might decide that what interests me the most and seems most appropriate to the writing assignment I have been given is my idea about the property tax dilemma. With this in mind, I would write a second "loop" on this area of my thinking, perhaps even starting my freewriting with the exact sentence I used in the first "loop:" People who used to live in Anyoldtown when I was a kid can no longer afford to pay property taxes. This is unfair, because these people spent their entire lives in this town, and land was all they had. Theoretically, the Yuppie Invasion doesn't drive out the "townies" or "natives" of a small town, but in actuality, land values and property taxes (as well as cultural influences, of course) make it impossible (and oftentimes undesirable) for people to hold onto their own land. People have to sell, because if they don't, they can no longer afford to maintain the standard of living that their town has taken on (in more ways than one). This issue obviously has class implications, but I'm sure it also relates to cultural (ethnic) issues as well. This is where I would need to begin researching, if I wanted to see who was most negatively affected by rising property taxes and land values. In rereading this second loop, I might decide that my ideas toward the end of the paragraph interest me the most. I could write another loop expanding these specific ideas on race, class, and property taxes, or I might decide that I have (as my freewrite suggests) arrived at the point where I need to begin researching.

Related Information: Questioning

Alongside the basic "5 W's" ("who," "what," "when," "where," and "why") can be used more formal, directed questions provided by the classical rhetorical "topics." These questions function in four different ways, and can be categorized as follows:

Example of Questioning If my general topic is "Development of Small Towns in the Rocky Mountain Region," I might try to narrow my focus by applying questions with specific functions to this topic area, thereby discovering which approach interests me most. Here are some of the questions I might ask:

After writing the questions, I would write my responses, deciding which particular questions and responses interest me the most. Perhaps, for instance, I would find myself most interested in the effects of development on the "natives" of small towns, particularly the inevitability of increased property taxes. This process of questioning thus provides me with a specific, narrow, well-defined focus within the vast issue of development of small towns in the Rocky Mountain region.

Related Information: Topic Cross

The topic cross helps you to narrow your topic by using a visual strategy. Just as you would focus a camera or a microscope, you arrange key words and phrases about your topic in such a way that they eventually point to your specific area of interest.

Example of a Topic Cross The first step in the process of using the topic cross is brainstorming. Spend a few minutes listing words and phrases that come to mind when you think about your topic. Then decide which words and phrases are most interesting and arrange them in a hierarchy, moving from general (at the top of the list) to specific (at the bottom of the list). This hierarchy will become the vertical axis of your cross. Demonstration: If my topic is "development of small towns in the Rocky Mountain region," I might generate the following useful ideas in brainstorming (arranged from general to specific).

• The appeal of small towns
• Yuppie invasion
• Overcrowding in cities
• Cost of land
• Effects on town "natives."
• Economic effects on impoverished landowners.
• How John Doe in my home town was affected.
• The new espresso bar in town

I would write this list in an imagined middle column of a piece of blank paper or a computer screen, leaving plenty of space between each item. Then I would scan the list to determine where my real interest lies. Which topics in this list will be too broad to write about, given my writing assignment? Which will be too narrow? In this case, I might choose "economic effects on impoverished landowners" as a workable topic area. Once I had thus identified my area of interest, I would begin listing words and phrases about or relevant to that item, placing them on the horizontal axis of my topic cross. The list I would generate about "economic effects on impoverished landowners" might look like this:

• Increased cost of land
• Temptation to sell
• Rising property taxes
• Higher cost of living
• Zoning issues
• Pressure to maintain property value

Examining this list, I might decide that "rising property taxes" is a sufficiently narrow topic that is not too narrow to develop with my own ideas and research I might do. By using this strategy, I have arrived at a narrow, workable topic.

Research Considerations

If your writing assignment requires research, you will probably find that the research process itself will dictate how broad or narrow your topic should be. We have all had the experience of doing a library search on a word like "environment" and coming up with thousands of sources. Almost as common is the experience of searching a term like "cultural animation" and coming up with only one source that seems useful. The topics we choose are often directly related to our research processes and their results.

Moving from Topic to Thesis

It is important to remember that a narrow topic is not the same thing as a thesis statement. Unlike a topic, a thesis makes a claim of fact, provides a claim of value, or makes a recommendation about a topic under consideration. For example, your narrowed topic might be "the underemphasis on foreign language in U.S. secondary schools." A focused thesis statement making a claim about this topic might read, "U.S. secondary schools should require elementary students to take at least one course in a foreign language sometime during the 4th through 6th grades."

Transforming a workable topic into a possible thesis is really just a continuation of the narrowing process, with an emphasis on what you want to say about your topic. In this way, it is much like the "hypothesis" stage of the scientific method. You arrive at a thesis by attempting to make a statement about the topic you have chosen.

Developing a Working Thesis

A working thesis is a tentative statement that you make about your topic early in the writing process, for the purpose of directing your thinking early. This thesis is likely to change somewhat or to be abandoned altogether as you move through the writing process, so it is best not to become too enamored of it.

There are two components of a working thesis. The first is, quite simply, your topic; and the second is your tentative statement about your topic. For example, if my narrowed topic is

"Rising property taxes in small towns in the Rocky Mountain region..."

I might add the following statement about that topic:

"...cause longtime residents and landowners in those towns not to be able to keep their property."

As I begin whatever research is necessary to support this thesis, I might find that I can't make this much of a claim. Or I might find that there are complexities that I hadn't considered. As I uncover new information about my topic, I will want to alter my working thesis accordingly, until it is workable and supportable.

Arriving at a Possible Thesis for an Essay Requiring Research

A In The St. Martin's Handbook , Third Edition [italics], Andrea Lunsford and Robert Connors suggest a process for moving from a topic to a research "hypothesis," by way of examining the "issue" at hand and framing this issue as a "research question." The following is an example of how I might move from topic to hypothesis if my narrowed topic is "rising property taxes in small towns in the Rocky Mountain region."

• Topic: Rising property taxes in small towns in the Rocky Mountain region
• Issue: The effects of these rising taxes on long-time residents and landowners in the small towns
• Research Question: What are the effects of rising property taxes on long-time residents and landowners in small towns in the Rocky Mountain region?
• Hypothesis: Because these taxes are increasingly difficult to pay, small town "natives" find themselves unable to hold onto their property.

This hypothesis, like a working thesis, is simply an early speculation on what I might find when I begin to research. As I read more and more about my topic, I will probably find that I need to make changes to the hypothesis in order to make it a supportable thesis. As I uncover new information about my topic, I will want to alter my working thesis accordingly, until it is workable and supportable.

Arriving at a Possible Thesis for an Essay Requiring You to Take a Position

One of the greatest challenges in written argument is determining what it is that you would like to (and are able to) say about your topic.

Narrowing from Topic to Thesis in Argument

Before you begin drafting an argument paper, you need to decide (tentatively, at least) what it is that you will be arguing about the topic you have chosen. The following prompts should help you focus your argument from a topic to a position on that topic. What is your topic? (e.g.--Rising property taxes in small towns in the Rocky Mountain region) What are three controversies associated with this topic? (e.g.--Rising property taxes make the town affordable only to the wealthy. This changes the flavor the flavor of the town. It forces long-time land owners to sell their land.) What are three questions people might ask about these controversies? (e.g.--Are these rising property taxes, which are the results of development in small towns in the Rocky Mountain region, forcing long-time land owners out of their home towns? Are rising taxes and land values changing the whole cultural and economic foundation of the towns? Given the effects of rising property taxes on impoverished land owners in small towns, is development in this area a good idea?) Decide which of these questions you are most interesting in exploring. (e.g.--Given the effects of rising property taxes on impoverished land owners in small towns, is development in this area a good idea?) Now list several ways people might respond if you asked them your question. (e.g.--No, because impoverished land owners are unable to maintain the new standard of living. Yes, because development is always a good idea. Yes, because development is inevitable, and we can do nothing about it. Perhaps, but city planners and local government must find ways to protect the interests of impoverished land owners when they determine property taxes.) Finally, decide where you stand in this range of responses. Think of a thesis that expresses your view. Write out your thesis and revise it throughout your research process until it is specific and takes a single arguable position. (e.g.--Because impoverished land owners in small towns in the Rocky Mountain region are often badly hurt by the rising property taxes resulting from development, city planners and local government must find ways to protect the interests of these land owners when they determine property taxes.)

Working With Topics in Different Disciplines

Don Zimmerman, Journalism and Technical Communication Professor Writers' understanding of topics and their fields of study allow them to focus on a specific topic. Following a good problem solving process or scientific method can help you select a topic. Whereas on the job, topics emerge from day to day activities. When working, you don't need to look for topics to write about. Your respective field/job responsibilities allow you to find the problems.

The ways that topics are approached and the types of topics that are discussed vary from discipline to discipline. It is important to investigate the types of topics that are discussed (and the ways that they are discussed) in your own discipline. As a writer, it is necessary to determine what topics are talked about and why in your own discipline (or in the discipline for which you are writing). This can be done by way of talking to professionals in the discipline, looking at relevant journals, and conducting Internet and database searches (to name a few possibilities).

Related Information: Browsing Journals Important to Your Discipline

Almost every discipline has journals that are associated with it, and scholars in the discipline depend on these journals in order to remain informed about what topics are being discussed. For example, scholars in the field of psychology rely on psychological journals; doctors rely on medical journals; and English professors rely on literary journals. Because journals are at the center of each discipline's current discussions, it is a good idea to browse them when looking for current topics. If you are unsure of how to go about doing this, talk to a professor in your discipline, a reference librarian in your library, or a librarian in your library's Current Periodicals room. These people can usually provide you with a few titles of important journals relevant to your field. Once you have these titles, you can locate a few issues of each journal in the Current Periodicals room, sit down for an hour or two, and look through the articles to see what is being talked about and what interests you.

Related Information: Online Searches and Databases

One way of getting to the sources which will discuss topics current to your discipline is by searching the various computer databases and search engines related to that discipline. A database is simply an arrangement of information by way of similar subject matter. For example, if you were researching a topic for a Sociology essay on group behavior of Deadheads, you might go to the Social Sciences Index to find sources related to your topic. For information on how to find relevant and useful databases, talk to the reference librarian in your library, or ask an expert in your field which databases he or she uses regularly.

Related Information: Talking to Professionals in Your Discipline

One of the most efficient ways to learn what topics are currently being discussed in your discipline is to talk to the experts: instructors and other professionals working within that discipline. We often forget that these people can be valuable resources to us, and can point us toward books, journals, databases, and other sources of information that scholars in our various fields use often.

Citation Information

Lauel Nesbitt and Dawn Kowalski. (1994-2024). Choosing and Refining Topics . The WAC Clearinghouse. Colorado State University. Available at https://wac.colostate.edu/repository/writing/guides/.

Copyright Information

Copyright © 1994-2024 Colorado State University and/or this site's authors, developers, and contributors . Some material displayed on this site is used with permission.

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• Statement of the Problem

Q: What is the difference between a research topic and a research question?

My research topic is ‘Predictors of insecticide-treated bed net (ITN) utilization as a means of malaria prevention among households in X district: an unmatched community-based case-control study.’

Asked on 14 Jan, 2020

A research topic is a specific part of study in a broader area of study. For instance, for your research topic, the broader research area is malaria prevention in households.

A research question aims to further narrow down the scope of the study. It is a possibility you explore through your study aiming to solve the problem of your study and is expressed in the form of a question. Note that you may need to come up with several potential questions before deciding on a final question. For these, you will first need to do a literature search for your topic. In your topic, to come up with research questions, you will need to inspect aspects such as extent of ITN utilization among the study groups, factors among the groups (both exposed and unexposed, as this is a case-control study) enabling ITN utilization, and so on.

The final question becomes the hypothesis of the study. It is a tentative answer to the problem of the study that you will seek to address in your study. The hypothesis is expressed in the form of a statement rather than a question.

Related reading :

• How can I choose a suitable research question?
• Where can I find reading material on the topic of my research?
• How to choose a research question

Answered by Editage Insights on 20 Jan, 2020

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What Is Research Methodology? A Plain-Language Explanation & Definition (With Examples)

By Derek Jansen (MBA)  and Kerryn Warren (PhD) | June 2020 (Last updated April 2023)

If you’re new to formal academic research, it’s quite likely that you’re feeling a little overwhelmed by all the technical lingo that gets thrown around. And who could blame you – “research methodology”, “research methods”, “sampling strategies”… it all seems never-ending!

In this post, we’ll demystify the landscape with plain-language explanations and loads of examples (including easy-to-follow videos), so that you can approach your dissertation, thesis or research project with confidence. Let’s get started.

Research Methodology 101

• What exactly research methodology means
• What qualitative , quantitative and mixed methods are
• What sampling strategy is
• What data collection methods are
• What data analysis methods are
• How to choose your research methodology
• Example of a research methodology

What is research methodology?

Research methodology simply refers to the practical “how” of a research study. More specifically, it’s about how  a researcher  systematically designs a study  to ensure valid and reliable results that address the research aims, objectives and research questions . Specifically, how the researcher went about deciding:

• What type of data to collect (e.g., qualitative or quantitative data )
• Who  to collect it from (i.e., the sampling strategy )
• How to  collect  it (i.e., the data collection method )
• How to  analyse  it (i.e., the data analysis methods )

Within any formal piece of academic research (be it a dissertation, thesis or journal article), you’ll find a research methodology chapter or section which covers the aspects mentioned above. Importantly, a good methodology chapter explains not just   what methodological choices were made, but also explains  why they were made. In other words, the methodology chapter should justify  the design choices, by showing that the chosen methods and techniques are the best fit for the research aims, objectives and research questions. 

So, it’s the same as research design?

Not quite. As we mentioned, research methodology refers to the collection of practical decisions regarding what data you’ll collect, from who, how you’ll collect it and how you’ll analyse it. Research design, on the other hand, is more about the overall strategy you’ll adopt in your study. For example, whether you’ll use an experimental design in which you manipulate one variable while controlling others. You can learn more about research design and the various design types here .

Need a helping hand?

What are qualitative, quantitative and mixed-methods?

Qualitative, quantitative and mixed-methods are different types of methodological approaches, distinguished by their focus on words , numbers or both . This is a bit of an oversimplification, but its a good starting point for understanding.

Let’s take a closer look.

Qualitative research refers to research which focuses on collecting and analysing words (written or spoken) and textual or visual data, whereas quantitative research focuses on measurement and testing using numerical data . Qualitative analysis can also focus on other “softer” data points, such as body language or visual elements.

It’s quite common for a qualitative methodology to be used when the research aims and research questions are exploratory  in nature. For example, a qualitative methodology might be used to understand peoples’ perceptions about an event that took place, or a political candidate running for president. 

Contrasted to this, a quantitative methodology is typically used when the research aims and research questions are confirmatory  in nature. For example, a quantitative methodology might be used to measure the relationship between two variables (e.g. personality type and likelihood to commit a crime) or to test a set of hypotheses .

As you’ve probably guessed, the mixed-method methodology attempts to combine the best of both qualitative and quantitative methodologies to integrate perspectives and create a rich picture. If you’d like to learn more about these three methodological approaches, be sure to watch our explainer video below.

What is sampling strategy?

Simply put, sampling is about deciding who (or where) you’re going to collect your data from . Why does this matter? Well, generally it’s not possible to collect data from every single person in your group of interest (this is called the “population”), so you’ll need to engage a smaller portion of that group that’s accessible and manageable (this is called the “sample”).

How you go about selecting the sample (i.e., your sampling strategy) will have a major impact on your study.  There are many different sampling methods  you can choose from, but the two overarching categories are probability   sampling and  non-probability   sampling .

Probability sampling  involves using a completely random sample from the group of people you’re interested in. This is comparable to throwing the names all potential participants into a hat, shaking it up, and picking out the “winners”. By using a completely random sample, you’ll minimise the risk of selection bias and the results of your study will be more generalisable  to the entire population. 

Non-probability sampling , on the other hand,  doesn’t use a random sample . For example, it might involve using a convenience sample, which means you’d only interview or survey people that you have access to (perhaps your friends, family or work colleagues), rather than a truly random sample. With non-probability sampling, the results are typically not generalisable .

To learn more about sampling methods, be sure to check out the video below.

What are data collection methods?

As the name suggests, data collection methods simply refers to the way in which you go about collecting the data for your study. Some of the most common data collection methods include:

• Interviews (which can be unstructured, semi-structured or structured)
• Focus groups and group interviews
• Surveys (online or physical surveys)
• Observations (watching and recording activities)
• Biophysical measurements (e.g., blood pressure, heart rate, etc.)
• Documents and records (e.g., financial reports, court records, etc.)

The choice of which data collection method to use depends on your overall research aims and research questions , as well as practicalities and resource constraints. For example, if your research is exploratory in nature, qualitative methods such as interviews and focus groups would likely be a good fit. Conversely, if your research aims to measure specific variables or test hypotheses, large-scale surveys that produce large volumes of numerical data would likely be a better fit.

What are data analysis methods?

Data analysis methods refer to the methods and techniques that you’ll use to make sense of your data. These can be grouped according to whether the research is qualitative  (words-based) or quantitative (numbers-based).

Popular data analysis methods in qualitative research include:

• Qualitative content analysis
• Thematic analysis
• Discourse analysis
• Narrative analysis
• Interpretative phenomenological analysis (IPA)
• Visual analysis (of photographs, videos, art, etc.)

Qualitative data analysis all begins with data coding , after which an analysis method is applied. In some cases, more than one analysis method is used, depending on the research aims and research questions . In the video below, we explore some  common qualitative analysis methods, along with practical examples.  

Moving on to the quantitative side of things, popular data analysis methods in this type of research include:

• Descriptive statistics (e.g. means, medians, modes )
• Inferential statistics (e.g. correlation, regression, structural equation modelling)

Again, the choice of which data collection method to use depends on your overall research aims and objectives , as well as practicalities and resource constraints. In the video below, we explain some core concepts central to quantitative analysis.

How do I choose a research methodology?

As you’ve probably picked up by now, your research aims and objectives have a major influence on the research methodology . So, the starting point for developing your research methodology is to take a step back and look at the big picture of your research, before you make methodology decisions. The first question you need to ask yourself is whether your research is exploratory or confirmatory in nature.

If your research aims and objectives are primarily exploratory in nature, your research will likely be qualitative and therefore you might consider qualitative data collection methods (e.g. interviews) and analysis methods (e.g. qualitative content analysis). 

Conversely, if your research aims and objective are looking to measure or test something (i.e. they’re confirmatory), then your research will quite likely be quantitative in nature, and you might consider quantitative data collection methods (e.g. surveys) and analyses (e.g. statistical analysis).

Designing your research and working out your methodology is a large topic, which we cover extensively on the blog . For now, however, the key takeaway is that you should always start with your research aims, objectives and research questions (the golden thread). Every methodological choice you make needs align with those three components. 

Example of a research methodology chapter

In the video below, we provide a detailed walkthrough of a research methodology from an actual dissertation, as well as an overview of our free methodology template .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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199 Comments

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I am writing a APA Format paper . I using questionnaire with 120 STDs teacher for my participant. Can you write me mthology for this research. Send it through email sent. Just need a sample as an example please. My topic is ” impacts of overcrowding on students learning

Thanks for your comment.

We can’t write your methodology for you. If you’re looking for samples, you should be able to find some sample methodologies on Google. Alternatively, you can download some previous dissertations from a dissertation directory and have a look at the methodology chapters therein.

All the best with your research.

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Great to hear that, Ngwisa. Good luck with your research methodology!

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Sure. You’re welcome to book an initial consultation with one of our Research Coaches to discuss how we can assist – https://gradcoach.com/book/new/ .

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MLA Jansen, Derek, and Kerryn Warren. “What (Exactly) Is Research Methodology?” Grad Coach, June 2021, gradcoach.com/what-is-research-methodology/.

APA Jansen, D., & Warren, K. (2021, June). What (Exactly) Is Research Methodology? Grad Coach. https://gradcoach.com/what-is-research-methodology/

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Research Basics

• What Is Research?
• Types of Research
• Secondary Research | Literature Review
• Developing Your Topic
• Primary vs. Secondary Sources
• Evaluating Sources
• Responsible Conduct of Research
• Additional Help

A good working definition of research might be:

Research is the deliberate, purposeful, and systematic gathering of data, information, facts, and/or opinions for the advancement of personal, societal, or overall human knowledge.

Based on this definition, we all do research all the time. Most of this research is casual research. Asking friends what they think of different restaurants, looking up reviews of various products online, learning more about celebrities; these are all research.

Formal research includes the type of research most people think of when they hear the term “research”: scientists in white coats working in a fully equipped laboratory. But formal research is a much broader category that just this. Most people will never do laboratory research after graduating from college, but almost everybody will have to do some sort of formal research at some point in their careers.

So What Do We Mean By “Formal Research?”

Casual research is inward facing: it’s done to satisfy our own curiosity or meet our own needs, whether that’s choosing a reliable car or figuring out what to watch on TV. Formal research is outward facing. While it may satisfy our own curiosity, it’s primarily intended to be shared in order to achieve some purpose. That purpose could be anything: finding a cure for cancer, securing funding for a new business, improving some process at your workplace, proving the latest theory in quantum physics, or even just getting a good grade in your Humanities 200 class.

What sets formal research apart from casual research is the documentation of where you gathered your information from. This is done in the form of “citations” and “bibliographies.” Citing sources is covered in the section "Citing Your Sources."

Formal research also follows certain common patterns depending on what the research is trying to show or prove. These are covered in the section “Types of Research.”

• Next: Types of Research >>
• Last Updated: May 17, 2024 11:08 AM
• URL: https://guides.library.iit.edu/research_basics

What is Research? Definition, Types, Methods and Process

By Nick Jain

Published on: July 25, 2023

Table of Contents

What is Research?

Types of research methods, research process: how to conduct research, top 10 best practices for conducting research in 2023.

Research is defined as a meticulous and systematic inquiry process designed to explore and unravel specific subjects or issues with precision. This methodical approach encompasses the thorough collection, rigorous analysis, and insightful interpretation of information, aiming to delve deep into the nuances of a chosen field of study. By adhering to established research methodologies, investigators can draw meaningful conclusions, fostering a profound understanding that contributes significantly to the existing knowledge base.

This dedication to systematic inquiry serves as the bedrock of progress, steering advancements across sciences, technology, social sciences, and diverse disciplines. Through the dissemination of meticulously gathered insights, scholars not only inspire collaboration and innovation but also catalyze positive societal change.

In the pursuit of knowledge, researchers embark on a journey of discovery, seeking to unravel the complexities of the world around us. By formulating clear research questions, researchers set the course for their investigations, carefully crafting methodologies to gather relevant data. Whether employing quantitative surveys or qualitative interviews, data collection lies at the heart of every research endeavor. Once the data is collected, researchers meticulously analyze it, employing statistical tools or thematic analysis to identify patterns and draw meaningful insights. These insights, often supported by empirical evidence, contribute to the collective pool of knowledge, enriching our understanding of various phenomena and guiding decision-making processes across diverse fields. Through research, we continually refine our understanding of the universe, laying the foundation for innovation and progress that shape the future.

Research embodies the spirit of curiosity and the pursuit of truth. Here are the key characteristics of research:

• Systematic Approach: Research follows a well-structured and organized approach, with clearly defined steps and methodologies. It is conducted in a systematic manner to ensure that data is collected, analyzed, and interpreted in a logical and coherent way.
• Objective and Unbiased: Research is objective and strives to be free from bias or personal opinions. Researchers aim to gather data and draw conclusions based on evidence rather than preconceived notions or beliefs.
• Empirical Evidence: Research relies on empirical evidence obtained through observations, experiments, surveys, or other data collection methods. This evidence serves as the foundation for drawing conclusions and making informed decisions.
• Clear Research Question or Problem: Every research study begins with a specific research question or problem that the researcher aims to address. This question provides focus and direction to the entire research process.
• Replicability: Good research should be replicable, meaning that other researchers should be able to conduct a similar study and obtain similar results when following the same methods.
• Transparency and Ethics: Research should be conducted with transparency, and researchers should adhere to ethical guidelines and principles. This includes obtaining informed consent from participants, ensuring confidentiality, and avoiding any harm to participants or the environment.
• Generalizability: Researchers often aim for their findings to be generalizable to a broader population or context. This means that the results of the study can be applied beyond the specific sample or situation studied.
• Logical and Critical Thinking: Research involves critical thinking to analyze and interpret data, identify patterns, and draw meaningful conclusions. Logical reasoning is essential in formulating hypotheses and designing the study.
• Contribution to Knowledge: The primary purpose of research is to contribute to the existing body of knowledge in a particular field. Researchers aim to expand understanding, challenge existing theories, or propose new ideas.
• Peer Review and Publication: Research findings are typically subject to peer review by experts in the field before being published in academic journals or presented at conferences. This process ensures the quality and validity of the research.
• Iterative Process: Research is often an iterative process, with findings from one study leading to new questions and further research. It is a continuous cycle of discovery and refinement.
• Practical Application: While some research is theoretical in nature, much of it aims to have practical applications and real-world implications. It can inform policy decisions, improve practices, or address societal challenges.

These key characteristics collectively define research as a rigorous and valuable endeavor that drives progress, knowledge, and innovation in various disciplines.

Research methods refer to the specific approaches and techniques used to collect and analyze data in a research study. There are various types of research methods, and researchers often choose the most appropriate method based on their research question, the nature of the data they want to collect, and the resources available to them. Some common types of research methods include:

1. Quantitative Research: Quantitative research methods focus on collecting and analyzing quantifiable data to draw conclusions. The key methods for conducting quantitative research are:

Surveys- Conducting structured questionnaires or interviews with a large number of participants to gather numerical data.

Experiments-Manipulating variables in a controlled environment to establish cause-and-effect relationships.

Observational Studies- Systematically observing and recording behaviors or phenomena without intervention.

Secondary Data Analysis- Analyzing existing datasets and records to draw new insights or conclusions.

2. Qualitative Research: Qualitative research employs a range of information-gathering methods that are non-numerical, and are instead intellectual in order to provide in-depth insights into the research topic. The key methods are:

Interviews- Conducting in-depth, semi-structured, or unstructured interviews to gain a deeper understanding of participants’ perspectives.

Focus Groups- Group discussions with selected participants to explore their attitudes, beliefs, and experiences on a specific topic.

Ethnography- Immersing in a particular culture or community to observe and understand their behaviors, customs, and beliefs.

Case Studies- In-depth examination of a single individual, group, organization, or event to gain comprehensive insights.

3. Mixed-Methods Research: Combining both quantitative and qualitative research methods in a single study to provide a more comprehensive understanding of the research question.

4. Cross-Sectional Studies: Gathering data from a sample of a population at a specific point in time to understand relationships or differences between variables.

5. Longitudinal Studies: Following a group of participants over an extended period to examine changes and developments over time.

6. Action Research: Collaboratively working with stakeholders to identify and implement solutions to practical problems in real-world settings.

7. Case-Control Studies: Comparing individuals with a particular outcome (cases) to those without the outcome (controls) to identify potential causes or risk factors.

8. Descriptive Research: Describing and summarizing characteristics, behaviors, or patterns without manipulating variables.

9. Correlational Research: Examining the relationship between two or more variables without inferring causation.

10. Grounded Theory: An approach to developing theory based on systematically gathering and analyzing data, allowing the theory to emerge from the data.

11. Surveys and Questionnaires: Administering structured sets of questions to a sample population to gather specific information.

12. Meta-Analysis: A statistical technique that combines the results of multiple studies on the same topic to draw more robust conclusions.

Researchers often choose a research method or a combination of methods that best aligns with their research objectives, resources, and the nature of the data they aim to collect. Each research method has its strengths and limitations, and the choice of method can significantly impact the findings and conclusions of a study.

Learn more: What is Research Design?

Conducting research involves a systematic and organized process that follows specific steps to ensure the collection of reliable and meaningful data. The research process typically consists of the following steps:

Step 1. Identify the Research Topic

Choose a research topic that interests you and aligns with your expertise and resources. Develop clear and focused research questions that you want to answer through your study.

Step 2. Review Existing Research

Conduct a thorough literature review to identify what research has already been done on your chosen topic. This will help you understand the current state of knowledge, identify gaps in the literature, and refine your research questions.

Step 3. Design the Research Methodology

Determine the appropriate research methodology that suits your research questions. Decide whether your study will be qualitative , quantitative , or a mix of both (mixed methods). Also, choose the data collection methods, such as surveys, interviews, experiments, observations, etc.

Step 4. Select the Sample and Participants

If your study involves human participants, decide on the sample size and selection criteria. Obtain ethical approval, if required, and ensure that participants’ rights and privacy are protected throughout the research process.

Step 5. Information Collection

Collect information and data based on your chosen research methodology. Qualitative research has more intellectual information, while quantitative research results are more data-oriented. Ensure that your data collection process is standardized and consistent to maintain the validity of the results.

Step 6. Data Analysis

Analyze the data you have collected using appropriate statistical or qualitative research methods . The type of analysis will depend on the nature of your data and research questions.

Step 7. Interpretation of Results

Interpret the findings of your data analysis. Relate the results to your research questions and consider how they contribute to the existing knowledge in the field.

Step 8. Draw Conclusions

Based on your interpretation of the results, draw meaningful conclusions that answer your research questions. Discuss the implications of your findings and how they align with the existing literature.

Step 9. Discuss Limitations

Acknowledge and discuss any limitations of your study. Addressing limitations demonstrates the validity and reliability of your research.

Step 10. Make Recommendations

If applicable, provide recommendations based on your research findings. These recommendations can be for future research, policy changes, or practical applications.

Step 11. Write the Research Report

Prepare a comprehensive research report detailing all aspects of your study, including the introduction, methodology, results, discussion, conclusion, and references.

Step 12. Peer Review and Revision

If you intend to publish your research, submit your report to peer-reviewed journals. Revise your research report based on the feedback received from reviewers.

Make sure to share your research findings with the broader community through conferences, seminars, or other appropriate channels, this will help contribute to the collective knowledge in your field of study.

Remember that conducting research is a dynamic process, and you may need to revisit and refine various steps as you progress. Good research requires attention to detail, critical thinking, and adherence to ethical principles to ensure the quality and validity of the study.

Learn more: What is Primary Market Research?

Best practices for conducting research remain rooted in the principles of rigor, transparency, and ethical considerations. Here are the essential best practices to follow when conducting research in 2023:

1. Research Design and Methodology

• Carefully select and justify the research design and methodology that aligns with your research questions and objectives.
• Ensure that the chosen methods are appropriate for the data you intend to collect and the type of analysis you plan to perform.
• Clearly document the research design and methodology to enhance the reproducibility and transparency of your study.

2. Ethical Considerations

• Obtain approval from relevant research ethics committees or institutional review boards, especially when involving human participants or sensitive data.
• Prioritize the protection of participants’ rights, privacy, and confidentiality throughout the research process.
• Provide informed consent to participants, ensuring they understand the study’s purpose, risks, and benefits.

3. Data Collection

• Ensure the reliability and validity of data collection instruments, such as surveys or interview protocols.
• Conduct pilot studies or pretests to identify and address any potential issues with data collection procedures.

4. Data Management and Analysis

• Implement robust data management practices to maintain the integrity and security of research data.
• Transparently document data analysis procedures, including software and statistical methods used.
• Use appropriate statistical techniques to analyze the data and avoid data manipulation or cherry-picking results.

5. Transparency and Open Science

• Embrace open science practices, such as pre-registration of research protocols and sharing data and code openly whenever possible.
• Clearly report all aspects of your research, including methods, results, and limitations, to enhance the reproducibility of your study.

6. Bias and Confounders

• Be aware of potential biases in the research process and take steps to minimize them.
• Consider and address potential confounding variables that could affect the validity of your results.

7. Peer Review

• Seek peer review from experts in your field before publishing or presenting your research findings.
• Be receptive to feedback and address any concerns raised by reviewers to improve the quality of your study.

8. Replicability and Generalizability

• Strive to make your research findings replicable, allowing other researchers to validate your results independently.
• Clearly state the limitations of your study and the extent to which the findings can be generalized to other populations or contexts.

9. Acknowledging Funding and Conflicts of Interest

• Disclose any funding sources and potential conflicts of interest that may influence your research or its outcomes.

10. Dissemination and Communication

• Effectively communicate your research findings to both academic and non-academic audiences using clear and accessible language.
• Share your research through reputable and open-access platforms to maximize its impact and reach.

By adhering to these best practices, researchers can ensure the integrity and value of their work, contributing to the advancement of knowledge and promoting trust in the research community.

Learn more: What is Consumer Research?

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What Is Research, and Why Do People Do It?

• Open Access
• First Online: 03 December 2022

Cite this chapter

You have full access to this open access chapter

• James Hiebert 6 ,
• Jinfa Cai 7 ,
• Stephen Hwang 7 ,
• Anne K Morris 6 &
• Charles Hohensee 6  

Part of the book series: Research in Mathematics Education ((RME))

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Abstractspiepr Abs1

Every day people do research as they gather information to learn about something of interest. In the scientific world, however, research means something different than simply gathering information. Scientific research is characterized by its careful planning and observing, by its relentless efforts to understand and explain, and by its commitment to learn from everyone else seriously engaged in research. We call this kind of research scientific inquiry and define it as “formulating, testing, and revising hypotheses.” By “hypotheses” we do not mean the hypotheses you encounter in statistics courses. We mean predictions about what you expect to find and rationales for why you made these predictions. Throughout this and the remaining chapters we make clear that the process of scientific inquiry applies to all kinds of research studies and data, both qualitative and quantitative.

You have full access to this open access chapter,  Download chapter PDF

Part I. What Is Research?

Have you ever studied something carefully because you wanted to know more about it? Maybe you wanted to know more about your grandmother’s life when she was younger so you asked her to tell you stories from her childhood, or maybe you wanted to know more about a fertilizer you were about to use in your garden so you read the ingredients on the package and looked them up online. According to the dictionary definition, you were doing research.

Recall your high school assignments asking you to “research” a topic. The assignment likely included consulting a variety of sources that discussed the topic, perhaps including some “original” sources. Often, the teacher referred to your product as a “research paper.”

Were you conducting research when you interviewed your grandmother or wrote high school papers reviewing a particular topic? Our view is that you were engaged in part of the research process, but only a small part. In this book, we reserve the word “research” for what it means in the scientific world, that is, for scientific research or, more pointedly, for scientific inquiry .

Exercise 1.1

Before you read any further, write a definition of what you think scientific inquiry is. Keep it short—Two to three sentences. You will periodically update this definition as you read this chapter and the remainder of the book.

This book is about scientific inquiry—what it is and how to do it. For starters, scientific inquiry is a process, a particular way of finding out about something that involves a number of phases. Each phase of the process constitutes one aspect of scientific inquiry. You are doing scientific inquiry as you engage in each phase, but you have not done scientific inquiry until you complete the full process. Each phase is necessary but not sufficient.

In this chapter, we set the stage by defining scientific inquiry—describing what it is and what it is not—and by discussing what it is good for and why people do it. The remaining chapters build directly on the ideas presented in this chapter.

A first thing to know is that scientific inquiry is not all or nothing. “Scientificness” is a continuum. Inquiries can be more scientific or less scientific. What makes an inquiry more scientific? You might be surprised there is no universally agreed upon answer to this question. None of the descriptors we know of are sufficient by themselves to define scientific inquiry. But all of them give you a way of thinking about some aspects of the process of scientific inquiry. Each one gives you different insights.

Exercise 1.2

As you read about each descriptor below, think about what would make an inquiry more or less scientific. If you think a descriptor is important, use it to revise your definition of scientific inquiry.

Creating an Image of Scientific Inquiry

We will present three descriptors of scientific inquiry. Each provides a different perspective and emphasizes a different aspect of scientific inquiry. We will draw on all three descriptors to compose our definition of scientific inquiry.

Descriptor 1. Experience Carefully Planned in Advance

Sir Ronald Fisher, often called the father of modern statistical design, once referred to research as “experience carefully planned in advance” (1935, p. 8). He said that humans are always learning from experience, from interacting with the world around them. Usually, this learning is haphazard rather than the result of a deliberate process carried out over an extended period of time. Research, Fisher said, was learning from experience, but experience carefully planned in advance.

This phrase can be fully appreciated by looking at each word. The fact that scientific inquiry is based on experience means that it is based on interacting with the world. These interactions could be thought of as the stuff of scientific inquiry. In addition, it is not just any experience that counts. The experience must be carefully planned . The interactions with the world must be conducted with an explicit, describable purpose, and steps must be taken to make the intended learning as likely as possible. This planning is an integral part of scientific inquiry; it is not just a preparation phase. It is one of the things that distinguishes scientific inquiry from many everyday learning experiences. Finally, these steps must be taken beforehand and the purpose of the inquiry must be articulated in advance of the experience. Clearly, scientific inquiry does not happen by accident, by just stumbling into something. Stumbling into something unexpected and interesting can happen while engaged in scientific inquiry, but learning does not depend on it and serendipity does not make the inquiry scientific.

Descriptor 2. Observing Something and Trying to Explain Why It Is the Way It Is

When we were writing this chapter and googled “scientific inquiry,” the first entry was: “Scientific inquiry refers to the diverse ways in which scientists study the natural world and propose explanations based on the evidence derived from their work.” The emphasis is on studying, or observing, and then explaining . This descriptor takes the image of scientific inquiry beyond carefully planned experience and includes explaining what was experienced.

According to the Merriam-Webster dictionary, “explain” means “(a) to make known, (b) to make plain or understandable, (c) to give the reason or cause of, and (d) to show the logical development or relations of” (Merriam-Webster, n.d. ). We will use all these definitions. Taken together, they suggest that to explain an observation means to understand it by finding reasons (or causes) for why it is as it is. In this sense of scientific inquiry, the following are synonyms: explaining why, understanding why, and reasoning about causes and effects. Our image of scientific inquiry now includes planning, observing, and explaining why.

We need to add a final note about this descriptor. We have phrased it in a way that suggests “observing something” means you are observing something in real time—observing the way things are or the way things are changing. This is often true. But, observing could mean observing data that already have been collected, maybe by someone else making the original observations (e.g., secondary analysis of NAEP data or analysis of existing video recordings of classroom instruction). We will address secondary analyses more fully in Chap. 4 . For now, what is important is that the process requires explaining why the data look like they do.

We must note that for us, the term “data” is not limited to numerical or quantitative data such as test scores. Data can also take many nonquantitative forms, including written survey responses, interview transcripts, journal entries, video recordings of students, teachers, and classrooms, text messages, and so forth.

Exercise 1.3

What are the implications of the statement that just “observing” is not enough to count as scientific inquiry? Does this mean that a detailed description of a phenomenon is not scientific inquiry?

Find sources that define research in education that differ with our position, that say description alone, without explanation, counts as scientific research. Identify the precise points where the opinions differ. What are the best arguments for each of the positions? Which do you prefer? Why?

Descriptor 3. Updating Everyone’s Thinking in Response to More and Better Information

This descriptor focuses on a third aspect of scientific inquiry: updating and advancing the field’s understanding of phenomena that are investigated. This descriptor foregrounds a powerful characteristic of scientific inquiry: the reliability (or trustworthiness) of what is learned and the ultimate inevitability of this learning to advance human understanding of phenomena. Humans might choose not to learn from scientific inquiry, but history suggests that scientific inquiry always has the potential to advance understanding and that, eventually, humans take advantage of these new understandings.

Before exploring these bold claims a bit further, note that this descriptor uses “information” in the same way the previous two descriptors used “experience” and “observations.” These are the stuff of scientific inquiry and we will use them often, sometimes interchangeably. Frequently, we will use the term “data” to stand for all these terms.

An overriding goal of scientific inquiry is for everyone to learn from what one scientist does. Much of this book is about the methods you need to use so others have faith in what you report and can learn the same things you learned. This aspect of scientific inquiry has many implications.

One implication is that scientific inquiry is not a private practice. It is a public practice available for others to see and learn from. Notice how different this is from everyday learning. When you happen to learn something from your everyday experience, often only you gain from the experience. The fact that research is a public practice means it is also a social one. It is best conducted by interacting with others along the way: soliciting feedback at each phase, taking opportunities to present work-in-progress, and benefitting from the advice of others.

A second implication is that you, as the researcher, must be committed to sharing what you are doing and what you are learning in an open and transparent way. This allows all phases of your work to be scrutinized and critiqued. This is what gives your work credibility. The reliability or trustworthiness of your findings depends on your colleagues recognizing that you have used all appropriate methods to maximize the chances that your claims are justified by the data.

A third implication of viewing scientific inquiry as a collective enterprise is the reverse of the second—you must be committed to receiving comments from others. You must treat your colleagues as fair and honest critics even though it might sometimes feel otherwise. You must appreciate their job, which is to remain skeptical while scrutinizing what you have done in considerable detail. To provide the best help to you, they must remain skeptical about your conclusions (when, for example, the data are difficult for them to interpret) until you offer a convincing logical argument based on the information you share. A rather harsh but good-to-remember statement of the role of your friendly critics was voiced by Karl Popper, a well-known twentieth century philosopher of science: “. . . if you are interested in the problem which I tried to solve by my tentative assertion, you may help me by criticizing it as severely as you can” (Popper, 1968, p. 27).

A final implication of this third descriptor is that, as someone engaged in scientific inquiry, you have no choice but to update your thinking when the data support a different conclusion. This applies to your own data as well as to those of others. When data clearly point to a specific claim, even one that is quite different than you expected, you must reconsider your position. If the outcome is replicated multiple times, you need to adjust your thinking accordingly. Scientific inquiry does not let you pick and choose which data to believe; it mandates that everyone update their thinking when the data warrant an update.

Doing Scientific Inquiry

We define scientific inquiry in an operational sense—what does it mean to do scientific inquiry? What kind of process would satisfy all three descriptors: carefully planning an experience in advance; observing and trying to explain what you see; and, contributing to updating everyone’s thinking about an important phenomenon?

We define scientific inquiry as formulating , testing , and revising hypotheses about phenomena of interest.

Of course, we are not the only ones who define it in this way. The definition for the scientific method posted by the editors of Britannica is: “a researcher develops a hypothesis, tests it through various means, and then modifies the hypothesis on the basis of the outcome of the tests and experiments” (Britannica, n.d. ).

Notice how defining scientific inquiry this way satisfies each of the descriptors. “Carefully planning an experience in advance” is exactly what happens when formulating a hypothesis about a phenomenon of interest and thinking about how to test it. “ Observing a phenomenon” occurs when testing a hypothesis, and “ explaining ” what is found is required when revising a hypothesis based on the data. Finally, “updating everyone’s thinking” comes from comparing publicly the original with the revised hypothesis.

Doing scientific inquiry, as we have defined it, underscores the value of accumulating knowledge rather than generating random bits of knowledge. Formulating, testing, and revising hypotheses is an ongoing process, with each revised hypothesis begging for another test, whether by the same researcher or by new researchers. The editors of Britannica signaled this cyclic process by adding the following phrase to their definition of the scientific method: “The modified hypothesis is then retested, further modified, and tested again.” Scientific inquiry creates a process that encourages each study to build on the studies that have gone before. Through collective engagement in this process of building study on top of study, the scientific community works together to update its thinking.

Before exploring more fully the meaning of “formulating, testing, and revising hypotheses,” we need to acknowledge that this is not the only way researchers define research. Some researchers prefer a less formal definition, one that includes more serendipity, less planning, less explanation. You might have come across more open definitions such as “research is finding out about something.” We prefer the tighter hypothesis formulation, testing, and revision definition because we believe it provides a single, coherent map for conducting research that addresses many of the thorny problems educational researchers encounter. We believe it is the most useful orientation toward research and the most helpful to learn as a beginning researcher.

A final clarification of our definition is that it applies equally to qualitative and quantitative research. This is a familiar distinction in education that has generated much discussion. You might think our definition favors quantitative methods over qualitative methods because the language of hypothesis formulation and testing is often associated with quantitative methods. In fact, we do not favor one method over another. In Chap. 4 , we will illustrate how our definition fits research using a range of quantitative and qualitative methods.

Exercise 1.4

Look for ways to extend what the field knows in an area that has already received attention by other researchers. Specifically, you can search for a program of research carried out by more experienced researchers that has some revised hypotheses that remain untested. Identify a revised hypothesis that you might like to test.

Unpacking the Terms Formulating, Testing, and Revising Hypotheses

To get a full sense of the definition of scientific inquiry we will use throughout this book, it is helpful to spend a little time with each of the key terms.

We first want to make clear that we use the term “hypothesis” as it is defined in most dictionaries and as it used in many scientific fields rather than as it is usually defined in educational statistics courses. By “hypothesis,” we do not mean a null hypothesis that is accepted or rejected by statistical analysis. Rather, we use “hypothesis” in the sense conveyed by the following definitions: “An idea or explanation for something that is based on known facts but has not yet been proved” (Cambridge University Press, n.d. ), and “An unproved theory, proposition, or supposition, tentatively accepted to explain certain facts and to provide a basis for further investigation or argument” (Agnes & Guralnik, 2008 ).

We distinguish two parts to “hypotheses.” Hypotheses consist of predictions and rationales . Predictions are statements about what you expect to find when you inquire about something. Rationales are explanations for why you made the predictions you did, why you believe your predictions are correct. So, for us “formulating hypotheses” means making explicit predictions and developing rationales for the predictions.

“Testing hypotheses” means making observations that allow you to assess in what ways your predictions were correct and in what ways they were incorrect. In education research, it is rarely useful to think of your predictions as either right or wrong. Because of the complexity of most issues you will investigate, most predictions will be right in some ways and wrong in others.

By studying the observations you make (data you collect) to test your hypotheses, you can revise your hypotheses to better align with the observations. This means revising your predictions plus revising your rationales to justify your adjusted predictions. Even though you might not run another test, formulating revised hypotheses is an essential part of conducting a research study. Comparing your original and revised hypotheses informs everyone of what you learned by conducting your study. In addition, a revised hypothesis sets the stage for you or someone else to extend your study and accumulate more knowledge of the phenomenon.

We should note that not everyone makes a clear distinction between predictions and rationales as two aspects of hypotheses. In fact, common, non-scientific uses of the word “hypothesis” may limit it to only a prediction or only an explanation (or rationale). We choose to explicitly include both prediction and rationale in our definition of hypothesis, not because we assert this should be the universal definition, but because we want to foreground the importance of both parts acting in concert. Using “hypothesis” to represent both prediction and rationale could hide the two aspects, but we make them explicit because they provide different kinds of information. It is usually easier to make predictions than develop rationales because predictions can be guesses, hunches, or gut feelings about which you have little confidence. Developing a compelling rationale requires careful thought plus reading what other researchers have found plus talking with your colleagues. Often, while you are developing your rationale you will find good reasons to change your predictions. Developing good rationales is the engine that drives scientific inquiry. Rationales are essentially descriptions of how much you know about the phenomenon you are studying. Throughout this guide, we will elaborate on how developing good rationales drives scientific inquiry. For now, we simply note that it can sharpen your predictions and help you to interpret your data as you test your hypotheses.

Hypotheses in education research take a variety of forms or types. This is because there are a variety of phenomena that can be investigated. Investigating educational phenomena is sometimes best done using qualitative methods, sometimes using quantitative methods, and most often using mixed methods (e.g., Hay, 2016 ; Weis et al. 2019a ; Weisner, 2005 ). This means that, given our definition, hypotheses are equally applicable to qualitative and quantitative investigations.

Hypotheses take different forms when they are used to investigate different kinds of phenomena. Two very different activities in education could be labeled conducting experiments and descriptions. In an experiment, a hypothesis makes a prediction about anticipated changes, say the changes that occur when a treatment or intervention is applied. You might investigate how students’ thinking changes during a particular kind of instruction.

A second type of hypothesis, relevant for descriptive research, makes a prediction about what you will find when you investigate and describe the nature of a situation. The goal is to understand a situation as it exists rather than to understand a change from one situation to another. In this case, your prediction is what you expect to observe. Your rationale is the set of reasons for making this prediction; it is your current explanation for why the situation will look like it does.

You will probably read, if you have not already, that some researchers say you do not need a prediction to conduct a descriptive study. We will discuss this point of view in Chap. 2 . For now, we simply claim that scientific inquiry, as we have defined it, applies to all kinds of research studies. Descriptive studies, like others, not only benefit from formulating, testing, and revising hypotheses, but also need hypothesis formulating, testing, and revising.

One reason we define research as formulating, testing, and revising hypotheses is that if you think of research in this way you are less likely to go wrong. It is a useful guide for the entire process, as we will describe in detail in the chapters ahead. For example, as you build the rationale for your predictions, you are constructing the theoretical framework for your study (Chap. 3 ). As you work out the methods you will use to test your hypothesis, every decision you make will be based on asking, “Will this help me formulate or test or revise my hypothesis?” (Chap. 4 ). As you interpret the results of testing your predictions, you will compare them to what you predicted and examine the differences, focusing on how you must revise your hypotheses (Chap. 5 ). By anchoring the process to formulating, testing, and revising hypotheses, you will make smart decisions that yield a coherent and well-designed study.

Exercise 1.5

Compare the concept of formulating, testing, and revising hypotheses with the descriptions of scientific inquiry contained in Scientific Research in Education (NRC, 2002 ). How are they similar or different?

Exercise 1.6

Provide an example to illustrate and emphasize the differences between everyday learning/thinking and scientific inquiry.

Learning from Doing Scientific Inquiry

We noted earlier that a measure of what you have learned by conducting a research study is found in the differences between your original hypothesis and your revised hypothesis based on the data you collected to test your hypothesis. We will elaborate this statement in later chapters, but we preview our argument here.

Even before collecting data, scientific inquiry requires cycles of making a prediction, developing a rationale, refining your predictions, reading and studying more to strengthen your rationale, refining your predictions again, and so forth. And, even if you have run through several such cycles, you still will likely find that when you test your prediction you will be partly right and partly wrong. The results will support some parts of your predictions but not others, or the results will “kind of” support your predictions. A critical part of scientific inquiry is making sense of your results by interpreting them against your predictions. Carefully describing what aspects of your data supported your predictions, what aspects did not, and what data fell outside of any predictions is not an easy task, but you cannot learn from your study without doing this analysis.

Analyzing the matches and mismatches between your predictions and your data allows you to formulate different rationales that would have accounted for more of the data. The best revised rationale is the one that accounts for the most data. Once you have revised your rationales, you can think about the predictions they best justify or explain. It is by comparing your original rationales to your new rationales that you can sort out what you learned from your study.

Suppose your study was an experiment. Maybe you were investigating the effects of a new instructional intervention on students’ learning. Your original rationale was your explanation for why the intervention would change the learning outcomes in a particular way. Your revised rationale explained why the changes that you observed occurred like they did and why your revised predictions are better. Maybe your original rationale focused on the potential of the activities if they were implemented in ideal ways and your revised rationale included the factors that are likely to affect how teachers implement them. By comparing the before and after rationales, you are describing what you learned—what you can explain now that you could not before. Another way of saying this is that you are describing how much more you understand now than before you conducted your study.

Revised predictions based on carefully planned and collected data usually exhibit some of the following features compared with the originals: more precision, more completeness, and broader scope. Revised rationales have more explanatory power and become more complete, more aligned with the new predictions, sharper, and overall more convincing.

Part II. Why Do Educators Do Research?

Doing scientific inquiry is a lot of work. Each phase of the process takes time, and you will often cycle back to improve earlier phases as you engage in later phases. Because of the significant effort required, you should make sure your study is worth it. So, from the beginning, you should think about the purpose of your study. Why do you want to do it? And, because research is a social practice, you should also think about whether the results of your study are likely to be important and significant to the education community.

If you are doing research in the way we have described—as scientific inquiry—then one purpose of your study is to understand , not just to describe or evaluate or report. As we noted earlier, when you formulate hypotheses, you are developing rationales that explain why things might be like they are. In our view, trying to understand and explain is what separates research from other kinds of activities, like evaluating or describing.

One reason understanding is so important is that it allows researchers to see how or why something works like it does. When you see how something works, you are better able to predict how it might work in other contexts, under other conditions. And, because conditions, or contextual factors, matter a lot in education, gaining insights into applying your findings to other contexts increases the contributions of your work and its importance to the broader education community.

Consequently, the purposes of research studies in education often include the more specific aim of identifying and understanding the conditions under which the phenomena being studied work like the observations suggest. A classic example of this kind of study in mathematics education was reported by William Brownell and Harold Moser in 1949 . They were trying to establish which method of subtracting whole numbers could be taught most effectively—the regrouping method or the equal additions method. However, they realized that effectiveness might depend on the conditions under which the methods were taught—“meaningfully” versus “mechanically.” So, they designed a study that crossed the two instructional approaches with the two different methods (regrouping and equal additions). Among other results, they found that these conditions did matter. The regrouping method was more effective under the meaningful condition than the mechanical condition, but the same was not true for the equal additions algorithm.

What do education researchers want to understand? In our view, the ultimate goal of education is to offer all students the best possible learning opportunities. So, we believe the ultimate purpose of scientific inquiry in education is to develop understanding that supports the improvement of learning opportunities for all students. We say “ultimate” because there are lots of issues that must be understood to improve learning opportunities for all students. Hypotheses about many aspects of education are connected, ultimately, to students’ learning. For example, formulating and testing a hypothesis that preservice teachers need to engage in particular kinds of activities in their coursework in order to teach particular topics well is, ultimately, connected to improving students’ learning opportunities. So is hypothesizing that school districts often devote relatively few resources to instructional leadership training or hypothesizing that positioning mathematics as a tool students can use to combat social injustice can help students see the relevance of mathematics to their lives.

We do not exclude the importance of research on educational issues more removed from improving students’ learning opportunities, but we do think the argument for their importance will be more difficult to make. If there is no way to imagine a connection between your hypothesis and improving learning opportunities for students, even a distant connection, we recommend you reconsider whether it is an important hypothesis within the education community.

Notice that we said the ultimate goal of education is to offer all students the best possible learning opportunities. For too long, educators have been satisfied with a goal of offering rich learning opportunities for lots of students, sometimes even for just the majority of students, but not necessarily for all students. Evaluations of success often are based on outcomes that show high averages. In other words, if many students have learned something, or even a smaller number have learned a lot, educators may have been satisfied. The problem is that there is usually a pattern in the groups of students who receive lower quality opportunities—students of color and students who live in poor areas, urban and rural. This is not acceptable. Consequently, we emphasize the premise that the purpose of education research is to offer rich learning opportunities to all students.

One way to make sure you will be able to convince others of the importance of your study is to consider investigating some aspect of teachers’ shared instructional problems. Historically, researchers in education have set their own research agendas, regardless of the problems teachers are facing in schools. It is increasingly recognized that teachers have had trouble applying to their own classrooms what researchers find. To address this problem, a researcher could partner with a teacher—better yet, a small group of teachers—and talk with them about instructional problems they all share. These discussions can create a rich pool of problems researchers can consider. If researchers pursued one of these problems (preferably alongside teachers), the connection to improving learning opportunities for all students could be direct and immediate. “Grounding a research question in instructional problems that are experienced across multiple teachers’ classrooms helps to ensure that the answer to the question will be of sufficient scope to be relevant and significant beyond the local context” (Cai et al., 2019b , p. 115).

As a beginning researcher, determining the relevance and importance of a research problem is especially challenging. We recommend talking with advisors, other experienced researchers, and peers to test the educational importance of possible research problems and topics of study. You will also learn much more about the issue of research importance when you read Chap. 5 .

Exercise 1.7

Identify a problem in education that is closely connected to improving learning opportunities and a problem that has a less close connection. For each problem, write a brief argument (like a logical sequence of if-then statements) that connects the problem to all students’ learning opportunities.

Part III. Conducting Research as a Practice of Failing Productively

Scientific inquiry involves formulating hypotheses about phenomena that are not fully understood—by you or anyone else. Even if you are able to inform your hypotheses with lots of knowledge that has already been accumulated, you are likely to find that your prediction is not entirely accurate. This is normal. Remember, scientific inquiry is a process of constantly updating your thinking. More and better information means revising your thinking, again, and again, and again. Because you never fully understand a complicated phenomenon and your hypotheses never produce completely accurate predictions, it is easy to believe you are somehow failing.

The trick is to fail upward, to fail to predict accurately in ways that inform your next hypothesis so you can make a better prediction. Some of the best-known researchers in education have been open and honest about the many times their predictions were wrong and, based on the results of their studies and those of others, they continuously updated their thinking and changed their hypotheses.

A striking example of publicly revising (actually reversing) hypotheses due to incorrect predictions is found in the work of Lee J. Cronbach, one of the most distinguished educational psychologists of the twentieth century. In 1955, Cronbach delivered his presidential address to the American Psychological Association. Titling it “Two Disciplines of Scientific Psychology,” Cronbach proposed a rapprochement between two research approaches—correlational studies that focused on individual differences and experimental studies that focused on instructional treatments controlling for individual differences. (We will examine different research approaches in Chap. 4 ). If these approaches could be brought together, reasoned Cronbach ( 1957 ), researchers could find interactions between individual characteristics and treatments (aptitude-treatment interactions or ATIs), fitting the best treatments to different individuals.

In 1975, after years of research by many researchers looking for ATIs, Cronbach acknowledged the evidence for simple, useful ATIs had not been found. Even when trying to find interactions between a few variables that could provide instructional guidance, the analysis, said Cronbach, creates “a hall of mirrors that extends to infinity, tormenting even the boldest investigators and defeating even ambitious designs” (Cronbach, 1975 , p. 119).

As he was reflecting back on his work, Cronbach ( 1986 ) recommended moving away from documenting instructional effects through statistical inference (an approach he had championed for much of his career) and toward approaches that probe the reasons for these effects, approaches that provide a “full account of events in a time, place, and context” (Cronbach, 1986 , p. 104). This is a remarkable change in hypotheses, a change based on data and made fully transparent. Cronbach understood the value of failing productively.

Closer to home, in a less dramatic example, one of us began a line of scientific inquiry into how to prepare elementary preservice teachers to teach early algebra. Teaching early algebra meant engaging elementary students in early forms of algebraic reasoning. Such reasoning should help them transition from arithmetic to algebra. To begin this line of inquiry, a set of activities for preservice teachers were developed. Even though the activities were based on well-supported hypotheses, they largely failed to engage preservice teachers as predicted because of unanticipated challenges the preservice teachers faced. To capitalize on this failure, follow-up studies were conducted, first to better understand elementary preservice teachers’ challenges with preparing to teach early algebra, and then to better support preservice teachers in navigating these challenges. In this example, the initial failure was a necessary step in the researchers’ scientific inquiry and furthered the researchers’ understanding of this issue.

We present another example of failing productively in Chap. 2 . That example emerges from recounting the history of a well-known research program in mathematics education.

Making mistakes is an inherent part of doing scientific research. Conducting a study is rarely a smooth path from beginning to end. We recommend that you keep the following things in mind as you begin a career of conducting research in education.

First, do not get discouraged when you make mistakes; do not fall into the trap of feeling like you are not capable of doing research because you make too many errors.

Second, learn from your mistakes. Do not ignore your mistakes or treat them as errors that you simply need to forget and move past. Mistakes are rich sites for learning—in research just as in other fields of study.

Third, by reflecting on your mistakes, you can learn to make better mistakes, mistakes that inform you about a productive next step. You will not be able to eliminate your mistakes, but you can set a goal of making better and better mistakes.

Exercise 1.8

How does scientific inquiry differ from everyday learning in giving you the tools to fail upward? You may find helpful perspectives on this question in other resources on science and scientific inquiry (e.g., Failure: Why Science is So Successful by Firestein, 2015).

Exercise 1.9

Use what you have learned in this chapter to write a new definition of scientific inquiry. Compare this definition with the one you wrote before reading this chapter. If you are reading this book as part of a course, compare your definition with your colleagues’ definitions. Develop a consensus definition with everyone in the course.

Part IV. Preview of Chap. 2

Now that you have a good idea of what research is, at least of what we believe research is, the next step is to think about how to actually begin doing research. This means how to begin formulating, testing, and revising hypotheses. As for all phases of scientific inquiry, there are lots of things to think about. Because it is critical to start well, we devote Chap. 2 to getting started with formulating hypotheses.

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Cai, J., Morris, A., Hohensee, C., Hwang, S., Robison, V., Cirillo, M., Kramer, S. L., & Hiebert, J. (2019b). Posing significant research questions. Journal for Research in Mathematics Education, 50 (2), 114–120. https://doi.org/10.5951/jresematheduc.50.2.0114

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Cronbach, L. J. (1975). Beyond the two disciplines of scientific psychology. American Psychologist, 30 , 116–127.

Cronbach, L. J. (1986). Social inquiry by and for earthlings. In D. W. Fiske & R. A. Shweder (Eds.), Metatheory in social science: Pluralisms and subjectivities (pp. 83–107). University of Chicago Press.

Hay, C. M. (Ed.). (2016). Methods that matter: Integrating mixed methods for more effective social science research . University of Chicago Press.

Merriam-Webster. (n.d.). Explain. In Merriam-Webster.com dictionary . Retrieved July 15, 2022, from https://www.merriam-webster.com/dictionary/explain

National Research Council. (2002). Scientific research in education . National Academy Press.

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Weisner, T. S. (Ed.). (2005). Discovering successful pathways in children’s development: Mixed methods in the study of childhood and family life . University of Chicago Press.

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Hiebert, J., Cai, J., Hwang, S., Morris, A.K., Hohensee, C. (2023). What Is Research, and Why Do People Do It?. In: Doing Research: A New Researcher’s Guide. Research in Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-031-19078-0_1

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The introduction leads the reader from a general subject area to a particular topic of inquiry. It establishes the scope, context, and significance of the research being conducted by summarizing current understanding and background information about the topic, stating the purpose of the work in the form of the research problem supported by a hypothesis or a set of questions, explaining briefly the methodological approach used to examine the research problem, highlighting the potential outcomes your study can reveal, and outlining the remaining structure and organization of the paper.

Key Elements of the Research Proposal. Prepared under the direction of the Superintendent and by the 2010 Curriculum Design and Writing Team. Baltimore County Public Schools.

Importance of a Good Introduction

Think of the introduction as a mental road map that must answer for the reader these four questions:

• What was I studying?
• Why was this topic important to investigate?
• What did we know about this topic before I did this study?
• How will this study advance new knowledge or new ways of understanding?

According to Reyes, there are three overarching goals of a good introduction: 1) ensure that you summarize prior studies about the topic in a manner that lays a foundation for understanding the research problem; 2) explain how your study specifically addresses gaps in the literature, insufficient consideration of the topic, or other deficiency in the literature; and, 3) note the broader theoretical, empirical, and/or policy contributions and implications of your research.

A well-written introduction is important because, quite simply, you never get a second chance to make a good first impression. The opening paragraphs of your paper will provide your readers with their initial impressions about the logic of your argument, your writing style, the overall quality of your research, and, ultimately, the validity of your findings and conclusions. A vague, disorganized, or error-filled introduction will create a negative impression, whereas, a concise, engaging, and well-written introduction will lead your readers to think highly of your analytical skills, your writing style, and your research approach. All introductions should conclude with a brief paragraph that describes the organization of the rest of the paper.

Hirano, Eliana. “Research Article Introductions in English for Specific Purposes: A Comparison between Brazilian, Portuguese, and English.” English for Specific Purposes 28 (October 2009): 240-250; Samraj, B. “Introductions in Research Articles: Variations Across Disciplines.” English for Specific Purposes 21 (2002): 1–17; Introductions. The Writing Center. University of North Carolina; “Writing Introductions.” In Good Essay Writing: A Social Sciences Guide. Peter Redman. 4th edition. (London: Sage, 2011), pp. 63-70; Reyes, Victoria. Demystifying the Journal Article. Inside Higher Education.

Structure and Writing Style

I.  Structure and Approach

The introduction is the broad beginning of the paper that answers three important questions for the reader:

• What is this?
• Why should I read it?
• What do you want me to think about / consider doing / react to?

Think of the structure of the introduction as an inverted triangle of information that lays a foundation for understanding the research problem. Organize the information so as to present the more general aspects of the topic early in the introduction, then narrow your analysis to more specific topical information that provides context, finally arriving at your research problem and the rationale for studying it [often written as a series of key questions to be addressed or framed as a hypothesis or set of assumptions to be tested] and, whenever possible, a description of the potential outcomes your study can reveal.

These are general phases associated with writing an introduction: 1.  Establish an area to research by:

• Highlighting the importance of the topic, and/or
• Making general statements about the topic, and/or
• Presenting an overview on current research on the subject.

2.  Identify a research niche by:

• Opposing an existing assumption, and/or
• Revealing a gap in existing research, and/or
• Formulating a research question or problem, and/or
• Continuing a disciplinary tradition.

3.  Place your research within the research niche by:

• Stating the intent of your study,
• Outlining the key characteristics of your study,
• Describing important results, and
• Giving a brief overview of the structure of the paper.

NOTE:   It is often useful to review the introduction late in the writing process. This is appropriate because outcomes are unknown until you've completed the study. After you complete writing the body of the paper, go back and review introductory descriptions of the structure of the paper, the method of data gathering, the reporting and analysis of results, and the conclusion. Reviewing and, if necessary, rewriting the introduction ensures that it correctly matches the overall structure of your final paper.

II.  Delimitations of the Study

Delimitations refer to those characteristics that limit the scope and define the conceptual boundaries of your research . This is determined by the conscious exclusionary and inclusionary decisions you make about how to investigate the research problem. In other words, not only should you tell the reader what it is you are studying and why, but you must also acknowledge why you rejected alternative approaches that could have been used to examine the topic.

Obviously, the first limiting step was the choice of research problem itself. However, implicit are other, related problems that could have been chosen but were rejected. These should be noted in the conclusion of your introduction. For example, a delimitating statement could read, "Although many factors can be understood to impact the likelihood young people will vote, this study will focus on socioeconomic factors related to the need to work full-time while in school." The point is not to document every possible delimiting factor, but to highlight why previously researched issues related to the topic were not addressed.

Examples of delimitating choices would be:

• The key aims and objectives of your study,
• The research questions that you address,
• The variables of interest [i.e., the various factors and features of the phenomenon being studied],
• The method(s) of investigation,
• The time period your study covers, and
• Any relevant alternative theoretical frameworks that could have been adopted.

Review each of these decisions. Not only do you clearly establish what you intend to accomplish in your research, but you should also include a declaration of what the study does not intend to cover. In the latter case, your exclusionary decisions should be based upon criteria understood as, "not interesting"; "not directly relevant"; “too problematic because..."; "not feasible," and the like. Make this reasoning explicit!

NOTE:   Delimitations refer to the initial choices made about the broader, overall design of your study and should not be confused with documenting the limitations of your study discovered after the research has been completed.

ANOTHER NOTE : Do not view delimitating statements as admitting to an inherent failing or shortcoming in your research. They are an accepted element of academic writing intended to keep the reader focused on the research problem by explicitly defining the conceptual boundaries and scope of your study. It addresses any critical questions in the reader's mind of, "Why the hell didn't the author examine this?"

III.  The Narrative Flow

Issues to keep in mind that will help the narrative flow in your introduction :

• Your introduction should clearly identify the subject area of interest . A simple strategy to follow is to use key words from your title in the first few sentences of the introduction. This will help focus the introduction on the topic at the appropriate level and ensures that you get to the subject matter quickly without losing focus, or discussing information that is too general.
• Establish context by providing a brief and balanced review of the pertinent published literature that is available on the subject. The key is to summarize for the reader what is known about the specific research problem before you did your analysis. This part of your introduction should not represent a comprehensive literature review--that comes next. It consists of a general review of the important, foundational research literature [with citations] that establishes a foundation for understanding key elements of the research problem. See the drop-down menu under this tab for " Background Information " regarding types of contexts.
• Clearly state the hypothesis that you investigated . When you are first learning to write in this format it is okay, and actually preferable, to use a past statement like, "The purpose of this study was to...." or "We investigated three possible mechanisms to explain the...."
• Why did you choose this kind of research study or design? Provide a clear statement of the rationale for your approach to the problem studied. This will usually follow your statement of purpose in the last paragraph of the introduction.

IV.  Engaging the Reader

A research problem in the social sciences can come across as dry and uninteresting to anyone unfamiliar with the topic . Therefore, one of the goals of your introduction is to make readers want to read your paper. Here are several strategies you can use to grab the reader's attention:

• Open with a compelling story . Almost all research problems in the social sciences, no matter how obscure or esoteric , are really about the lives of people. Telling a story that humanizes an issue can help illuminate the significance of the problem and help the reader empathize with those affected by the condition being studied.
• Include a strong quotation or a vivid, perhaps unexpected, anecdote . During your review of the literature, make note of any quotes or anecdotes that grab your attention because they can used in your introduction to highlight the research problem in a captivating way.
• Pose a provocative or thought-provoking question . Your research problem should be framed by a set of questions to be addressed or hypotheses to be tested. However, a provocative question can be presented in the beginning of your introduction that challenges an existing assumption or compels the reader to consider an alternative viewpoint that helps establish the significance of your study. 
• Describe a puzzling scenario or incongruity . This involves highlighting an interesting quandary concerning the research problem or describing contradictory findings from prior studies about a topic. Posing what is essentially an unresolved intellectual riddle about the problem can engage the reader's interest in the study.
• Cite a stirring example or case study that illustrates why the research problem is important . Draw upon the findings of others to demonstrate the significance of the problem and to describe how your study builds upon or offers alternatives ways of investigating this prior research.

NOTE:   It is important that you choose only one of the suggested strategies for engaging your readers. This avoids giving an impression that your paper is more flash than substance and does not distract from the substance of your study.

Freedman, Leora  and Jerry Plotnick. Introductions and Conclusions. University College Writing Centre. University of Toronto; Introduction. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Introductions. The Writing Center. University of North Carolina; Introductions. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Introductions, Body Paragraphs, and Conclusions for an Argument Paper. The Writing Lab and The OWL. Purdue University; “Writing Introductions.” In Good Essay Writing: A Social Sciences Guide . Peter Redman. 4th edition. (London: Sage, 2011), pp. 63-70; Resources for Writers: Introduction Strategies. Program in Writing and Humanistic Studies. Massachusetts Institute of Technology; Sharpling, Gerald. Writing an Introduction. Centre for Applied Linguistics, University of Warwick; Samraj, B. “Introductions in Research Articles: Variations Across Disciplines.” English for Specific Purposes 21 (2002): 1–17; Swales, John and Christine B. Feak. Academic Writing for Graduate Students: Essential Skills and Tasks . 2nd edition. Ann Arbor, MI: University of Michigan Press, 2004 ; Writing Your Introduction. Department of English Writing Guide. George Mason University.

Writing Tip

Avoid the "Dictionary" Introduction

Giving the dictionary definition of words related to the research problem may appear appropriate because it is important to define specific terminology that readers may be unfamiliar with. However, anyone can look a word up in the dictionary and a general dictionary is not a particularly authoritative source because it doesn't take into account the context of your topic and doesn't offer particularly detailed information. Also, placed in the context of a particular discipline, a term or concept may have a different meaning than what is found in a general dictionary. If you feel that you must seek out an authoritative definition, use a subject specific dictionary or encyclopedia [e.g., if you are a sociology student, search for dictionaries of sociology]. A good database for obtaining definitive definitions of concepts or terms is Credo Reference .

Saba, Robert. The College Research Paper. Florida International University; Introductions. The Writing Center. University of North Carolina.

Another Writing Tip

When Do I Begin?

A common question asked at the start of any paper is, "Where should I begin?" An equally important question to ask yourself is, "When do I begin?" Research problems in the social sciences rarely rest in isolation from history. Therefore, it is important to lay a foundation for understanding the historical context underpinning the research problem. However, this information should be brief and succinct and begin at a point in time that illustrates the study's overall importance. For example, a study that investigates coffee cultivation and export in West Africa as a key stimulus for local economic growth needs to describe the beginning of exporting coffee in the region and establishing why economic growth is important. You do not need to give a long historical explanation about coffee exports in Africa. If a research problem requires a substantial exploration of the historical context, do this in the literature review section. In your introduction, make note of this as part of the "roadmap" [see below] that you use to describe the organization of your paper.

Introductions. The Writing Center. University of North Carolina; “Writing Introductions.” In Good Essay Writing: A Social Sciences Guide . Peter Redman. 4th edition. (London: Sage, 2011), pp. 63-70.

Yet Another Writing Tip

Always End with a Roadmap

The final paragraph or sentences of your introduction should forecast your main arguments and conclusions and provide a brief description of the rest of the paper [the "roadmap"] that let's the reader know where you are going and what to expect. A roadmap is important because it helps the reader place the research problem within the context of their own perspectives about the topic. In addition, concluding your introduction with an explicit roadmap tells the reader that you have a clear understanding of the structural purpose of your paper. In this way, the roadmap acts as a type of promise to yourself and to your readers that you will follow a consistent and coherent approach to addressing the topic of inquiry. Refer to it often to help keep your writing focused and organized.

Cassuto, Leonard. “On the Dissertation: How to Write the Introduction.” The Chronicle of Higher Education , May 28, 2018; Radich, Michael. A Student's Guide to Writing in East Asian Studies . (Cambridge, MA: Harvard University Writing n. d.), pp. 35-37.

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For example, the following research question is too broad.

Does social media affect mental health in college students?

A more focused research question could be:

Does social media play a role in the number of eating disorder diagnoses in college-aged women?

Need some guidance? Contact your subject librarian for a research consultation or reach out to [email protected] .

Start the brainstorming process:

• Begin by identifying a broad topic of research interest (the more you're personally interested in it, the better!). Write it down to clarify your focus.
• Narrow down your scope  by considering specific areas within this topic that you want to explore.
• Identify key themes and elements  related to these specific areas. These will be the building blocks of your investigation.
• Finally,  integrate these key areas and elements  into a well-crafted research question.

One way to brainstorm is to use a flowchart.

The scope of a topic  encompasses the boundaries and constraints you set for your research. The more precise your research question, the smoother the research process becomes.

Feeling stuck? Here are some ways you can narrow down your topic:

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You:  I need to conduct a literature review about social media, mental health, and college students. What are some example research questions within this topic?

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• How does the frequency and nature of social media use impact the mental health of college students?
• What role do specific social media platforms play in influencing the mental well-being of college students?
• How do online social interactions on platforms like Facebook, Instagram, or Twitter relate to the mental health outcomes of college students?
• Are there differences in the association between social media use and mental health outcomes based on demographic factors such as gender, age, or academic major among college students?
• What strategies do college students employ to cope with negative mental health effects associated with social media use?
• How does the perception of social support through online platforms affect the mental health of college students?
• To what extent does the comparison of oneself to others on social media contribute to mental health challenges among college students?
• What interventions or educational programs are effective in promoting positive mental health behaviors in the context of social media use for college students?
• How do social media literacy and awareness programs impact the mental health attitudes and behaviors of college students?
• What is the relationship between the use of social media for academic and social purposes and the mental health outcomes of college students?

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Research Paper Topics – Definition, Guide & Examples

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Inhaltsverzeichnis

• 1 Definition: Research Paper Topics
• 3 Interesting Topics to Write about
• 4 Interesting  Topics for College
• 5 In a Nutshell

Definition: Research Paper Topics

A research paper topic is a subject, investigation, or issue that a person is interested in and plans to conduct research on. A research paper topic can be both a research question and a hypothesis. You can also phrase your topic as a question, but this is not a requirement. Choosing good research paper topics can be a big deal. It can also be stressful. Good research paper topics that are well thought out, well researched, and well written can be a springboard into future studies and careers.

It is really important to find a good topic for your research paper. Your bachelor or master thesis will be much easier with a good research paper topic.

How do I choose topics for a research paper?

Ask yourself, “what do I want to know about?” Don’t limit yourself to writing what you already know about but treat this as an opportunity to learn. Read journals, go back through the course syllabus, keep an eye on mainstream media. Focus on a topic that engages you and captures your imagination. The next step is to create a research question that will become the basis of your thesis.

What are some good topics for a research paper?

Good research paper topics will be interesting, tackle subjects from a fresh perspective, be manageable and have core data and research you can draw from. Of course, all good research paper topics need to fit within your course guidelines. Try to think about what your research into this topic has to offer to the academic community. Continue reading this article for some research paper topic examples.

What are some business topics for my research paper?

Good research paper topics don’t necessarily need to capture the zeitgeist but there is certainly a lot going on in the business world today to capture your imagination. Try to think about some modern concepts that are new to the academic world. There will always be plenty to discuss when it comes to research paper topics like social media or e-commerce.

Tip: Think ahead and ensure that you’re going to have enough research to work with when you start writing your research paper outline . If your topic is lacking important data or research, perhaps it’s best to choose another field. Unless you’re a postgraduate student and you’re ready to conduct your own research.

What are research topic examples?

Finding a research paper topic can be difficult, as it feels impossible to narrow your selection down. Of course, the topic that you choose will depend on what you’re studying and whether you’re writing your bachelor’s thesis or a postgraduate thesis. Some examples include:

• Bio or business ethics
• The education system
• The current political climate
• Environmental issues

These examples will need to be further narrowed down, but hopefully they were able to get you thinking. Scroll down on this article for some further research paper topic examples.

What makes a good research topic?

Your research paper topic needs to be clear from the very beginning of your research paper. It is vital that the reader is able to understand what they’re reading about and your thesis statement should assist them with this. Your research paper should be generating new questions in the academic community so that research in this field is able to thrive.

Interesting Topics to Write about

We’ve talked about the importance of finding research paper topics that are interesting to you. We’ve also talked about the importance of not restricting yourself to researching what you already know about.

Read and let ideas come to you naturally. Good research paper topics can’t be forced. Don’t fixate on a particular possibility. Ask yourself if your possible research paper topics are to broad or to narrow.

Research on coffee consumption in your town might be too narrow a subject, coffee consumption in the country could be too wide, but coffee consumption in your state might form the basis for some great research paper topics.

Examples for research paper topics:

Research paper topics – medical.

Researching for a medical research paper has some similarities and some differences from research papers in other fields. In determining research paper topics in the medical area you need to figure out a topic and decide whether it’s going to be based on quantitative (original) or synthetic research (building on other people’s research).

Medical information can be incredibly complex so a good medical research paper topic will involve lots of notes and those notes need to be well organised to be an effective aid. Good medical research paper topics are frequently written up using the IMRAD method: introduction , (research) methods used, results, and discussion.

Of course there is no shortage of medical subjects that will make good research paper topics. Look around you. We’re a rich and prosperous nation. So why is obesity rising? Why is depression so prevalent? We should be happy. Why are medical issues like autism and dyslexia affecting more children than ever? Why is drug use proving so impossible to rein in? And why are so many kids suddenly allergic to nuts and why are so many adults suddenly gluten intolerant? There are no shortage of medical subjects to form the basis of research paper topics.

Interesting  Topics for College

Every College and every student is different so there are no hard and fast rules that apply to everyone and everything when determining what makes an interesting research paper topic. But no matter where you are and what you are studying, following these five golden rules can help you pick out the most interesting research paper topics.

• Be specific and focused: Know where your research is going and what you want to achieve. I want to establish that sub Antarctic squid are mating more frequently than usual and having more baby giant squid.
• Be original: Fresh research on fresh topics is always more engaging. Who wouldn’t want to read about the mating rituals of sub Antarctic deep water giant squid?
• Make it important: Those giant squid are moving out of sub Antarctic waters and coming to waters near you and they’re hungry. This makes it important.
• Make it relevant: If the squid come to waters near you and your College, it’s also relevant, especially if they are going to eat all the local prawns and there will none left for the professors marking your paper.
• Is the subject matter trending?: Well, in this case, if you are right about the squid, it soon will be. Good research paper topics capture the zeitgeist.

In a Nutshell

Okay, so we’ve talked a bit about what makes for good research topics and how to choose one.

The key piece if advice is to let it come to you naturally. It’s a creative process and creativity isn’t a process that can be forced.

Of course there are parameters and guidelines. When your great idea does come – usually at an inopportune time, your job is to harness it and mould it in a topic that works within the formal constructs of writing good research paper topics.

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Research Topics

Five research topics exploring the science of mental health.

Mental wellbeing is increasingly recognized as an essential aspect of our overall health. It supports our ability to handle challenges, build strong relationships, and live more fulfilling lives. The World Health Organization (WHO) emphasizes the importance of mental health by acknowledging it as a fundamental human right.

This Mental Health Awareness Week, we highlight the remarkable work of scientists driving open research that helps everyone achieve better mental health.

Here are five Research Topics that study themes including how we adapt to a changing world, the impact of loneliness on our wellbeing, and the connection between our diet and mental health.

All articles are openly available to view and download.

1 | Community Series in Mental Health Promotion and Protection, volume II

40.300 views | 16 articles

There is no health without mental health. Thus, this Research Topic collects ideas and research related to strategies that promote mental health across all disciplines. The goal is to raise awareness about mental health promotion and protection to ensure its incorporation in national mental health policies.

This topic is of relevance given the mental health crisis being experienced across the world right now. A reality that has prompted the WHO to declare that health is a state of complete physical, mental, and social wellbeing.

View Research Topic

2 | Dietary and Metabolic Approaches for Mental Health Conditions

176.800 views | 11 articles

There is increased recognition that mental health disorders are, at least in part, a form of diet-related disease. For this reason, we focus attention on a Research Topic that examines the mechanistic interplay between dietary patterns and mental health conditions.

There is a clear consensus that the quality, quantity, and even timing of our human feeding patterns directly impact how brains function. But despite the epidemiological and mechanistic links between mental health and diet-related diseases, these two are often perceived as separate medical issues.

Even more urgent, public health messaging and clinical treatments for mental health conditions place relatively little emphasis on formulating nutrition to ease the underlying drivers of mental health conditions.

3 | Comparing Mental Health Cross-Culturally

94.000 views | 15 articles

Although mental health has been widely discussed in later years, how mental health is perceived across different cultures remains to be examined. This Research Topic addresses this gap and deepens our knowledge of mental health by comparing positive and negative psychological constructs cross-culturally.

The definition and understanding of mental health remain to be refined, partially because of a lack of cross-cultural perspectives on mental health. Also, due to the rapid internationalization taking place in the world today, a culturally aware understanding of, and interventions for mental health problems are essential.

4 | Adaption to Change and Coping Strategies: New Resources for Mental Health

85.000 views | 29 articles

In this Research Topic, scientists study a wider range of variables involved in change and adaptation. They examine changes of any type or magnitude whenever the lack of adaptive response diminishes our development and well-being.

Today’s society is characterized by change, and sometimes, the constant changes are difficult to assimilate. This may be why feelings of frustration and defenselessness appear in the face of the impossibility of responding adequately to the requirements of a changing society.

Therefore, society must develop an updated notion of the processes inherent to changing developmental environments, personal skills, resources, and strategies. This know-how is crucial for achieving and maintaining balanced mental health.

5 | Mental Health Equity

29.900 views | 10 articles

The goal of this Research Topic is to move beyond a synthesis of what is already known about mental health in the context of health equity. Rather, the focus here is on transformative solutions, recommendations, and applied research that have real world implications on policy, practice, and future scholarship.

Attention in the field to upstream factors and the role of social and structural determinants of health in influencing health outcomes, combined with an influx of innovation –particularly the digitalization of healthcare—presents a unique opportunity to solve pressing issues in mental health through a health equity lens.

The topic is opportune because factors such as structural racism and climate change have disproportionately negatively impacted marginalized communities across the world, including Black, Indigenous, People of Color (BIPOC), LGBTQ+, people with disabilities, and transition-age youth and young adults. As a result, existing disparities in mental health have exacerbated.

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When Online Content Disappears

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• Webpages from the last decade
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• Collection and analysis of Twitter data
• Data collection for World Wide Web websites, government websites and news websites
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• Definition of links

Twitter analysis in this report is based on 4.8 million tweets collected from March 8 to April 27, 2023. This process involved collecting batches of 3,000 new tweets every 30 minutes over the duration of the collection period using the Twitter Streaming API. This resulted in a sample of tweets created at different times and days over a number of weeks. 

We regularly monitored the status of those tweets starting March 15 and ending June 15, 2023. Each day during the monitoring period, we looked up all collected tweets using the Twitter Search API. We collected the most recent engagement metrics for those tweets, as well as a status code indicating whether each tweet was still publicly available on the site or not.

Tweets were classified as unavailable if they returned a status code of “Not Found” (indicating the tweet itself had been deleted) or “Authorization Error” (indicating it was inaccessible because the account itself had been deleted or made private by the user or suspended by Twitter itself). Because we monitored the status of all collected tweets over the duration of the monitoring period, we were able to identify tweets that became visible again after previously being unavailable.

In addition to examining attrition rates using the full sample of 4.8 million tweets, we selected tweets from a random sample of 100,000 users, resulting in a sample of 148,494 tweets from our original collection, and gathered detailed information about those tweets and the users who posted them. These included details such as the language the tweet was written in; whether the bio field or profile picture of the account had been updated from the site defaults; the age of the account; and whether the account is verified. This subsample is used in the analysis of what types of tweets tend to be removed from the site.

To examine attrition on the broader internet, we collected three samples of web crawl data from Common Crawl , a nonprofit organization that collects and maintains a large web archive. This data has been collected monthly starting in 2008. We used this archive to create a historical sample of URLs from the broader internet dating back to 2013, as well as contemporaneous snapshots of pages from government entities and news websites. 

Sample of URLs from the broader internet

This analysis is based on random samples of URLs from crawls conducted from 2013 to 2023, using year as a stratifying variable. We used the March/April crawl where possible and the closest available date range for years in which a March/April crawl was not conducted. This resulted in a full sample of 1 million pages – approximately 91,000 pages each year from 2013 to 2023 – that were known to have existed at the time they were collected by Common Crawl.

We then looked at whether these pages were still available in fall 2023 using the procedure described below. These checks were performed in several stages, running Oct. 12-Nov. 6, 2023.

Sample of government website URLs

This analysis is based on a random sample of 500,000 pages with a .gov domain, stratified by domain and level of government. We collected these pages from the Common Crawl MAIN-2023-14 crawl conducted March/April 2023.

Each page was assigned to a level of government (Federal – Executive; State; City; County; Federal – Legislative; Federal – Judicial; Tribal; Independent Intrastate; and Interstate) using https://get.gov , the official administrator for the .gov top-level domain. We retrieved the dataset used for this analysis Aug. 22, 2023.

This resulted in a sample with the following breakdown of domains and levels of government: 

For each of the 500,000 pages collected, we selected a random sample of 10% of all links (internal as well as external) found on that page. This resulted in a total of 4,179,313 links. We then looked at whether the pages these links point to were still available. 

Sample of news website URLs 

The analysis of news websites is based on a list of 2,063 domains categorized as “News/Information” by the measurement and audience metrics company comScore. We divided these domains into quintiles based on comScore site traffic for Q4 2022 and sampled 500,000 total pages from these domains using site traffic quintiles as a stratifying variable.

This resulted in a sample with the following breakdown of domains: 

We selected a 50% simple random sample of all the 7,089,514 links that appeared on these pages, excluding any internal links (those that point within the same host domain). We then looked at whether the pages these links point to were still available. 

We sampled 50,000 pages from the list of all titles in the English Wikipedia May 20, 2023, snapshot on Sept. 20, 2023. As some pages have multiple titles in the list of all titles, but refer to the same page (for instance, “UK” and “United Kingdom” ), we followed redirects to eliminate duplicate titles for the same page. Between the snapshot and our collection, 50 pages were removed; our analysis is based on the remaining 49,950 pages.

Our analysis evaluated all external links (that is, links pointing to non-Wikipedia domains) from the “References” section of all the pages in the sample as of Oct. 10-11, 2023, using the same definition of link and procedure described above. 

We categorized links as alive or dead using the response code from the page. A page was classified as inaccessible if the domain was not available in a DNS server or if the server returned one of the following error codes indicating the content was not available:

• 204 No Content
• 400 Bad Request
• 404 Not Found
• 500 Internal Server Error
• 501 Not Implemented
• 502 Bad Gateway
• 503 Service Unavailable
• 523 Origin Is Unreachable

Pages were considered accessible in all other cases – including ambiguous situations in which we could not guarantee that the content exists, like soft 404 pages or timeouts not caused by the DNS.

We evaluated links in four rounds. In the first round (Oct. 12 to Oct. 15), we evaluated whether links were functional by following them using the requests library in Python, allowing for pages to timeout after one second. In this round, we recorded the initial status code and final status code after redirects, if applicable.

For the pages that did not return a 200 OK status code, we did a second round of evaluations (Oct. 16 to Oct. 17) in which we collected the status code using randomized browser headers from the library fake_headers.

A third round (Oct. 27 to Oct. 28) rechecked pages that did not successfully resolve to any status code and for pages that returned a 429 (“Too many requests”) status code, with an additional timeout of three seconds.

In the final round (Nov. 6), we looked up the pages that did not return any result in a DNS server using the dnspython module in Python allowing for a three-second timeout. 

We identified hyperlinks from the HTML code of the websites by looking at all <a> tags that included a href attribute. We limited our attention to hyperlinks that used the HTTP or HTTPS protocol. Pages frequently use relative links that do not include the specification of the scheme and domain of the site in the definition. In those cases, we restricted our attention to those that referred to subdomains or paths (i.e., that started with a backslash /) and discarded hyperlinks defined by anchors (i.e., that started with a pound sign #). 

Whenever a page used a relative link, we tried reconstructing the absolute URL by prepending the domain information. In our analyses, these reconstructed URL were treated as any other URL during our analyses.  

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Published: 5 April 2024 Contributors: Tim Mucci, Cole Stryker

Big data analytics refers to the systematic processing and analysis of large amounts of data and complex data sets, known as big data, to extract valuable insights. Big data analytics allows for the uncovering of trends, patterns and correlations in large amounts of raw data to help analysts make data-informed decisions. This process allows organizations to leverage the exponentially growing data generated from diverse sources, including internet-of-things (IoT) sensors, social media, financial transactions and smart devices to derive actionable intelligence through advanced analytic techniques.

In the early 2000s, advances in software and hardware capabilities made it possible for organizations to collect and handle large amounts of unstructured data. With this explosion of useful data, open-source communities developed big data frameworks to store and process this data. These frameworks are used for distributed storage and processing of large data sets across a network of computers. Along with additional tools and libraries, big data frameworks can be used for:

• Predictive modeling by incorporating artificial intelligence (AI) and statistical algorithms
• Statistical analysis for in-depth data exploration and to uncover hidden patterns
• What-if analysis to simulate different scenarios and explore potential outcomes
• Processing diverse data sets, including structured, semi-structured and unstructured data from various sources.

Four main data analysis methods  – descriptive, diagnostic, predictive and prescriptive  – are used to uncover insights and patterns within an organization's data. These methods facilitate a deeper understanding of market trends, customer preferences and other important business metrics.

IBM named a Leader in the 2024 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.

Structured vs unstructured data

What is data management?

The main difference between big data analytics and traditional data analytics is the type of data handled and the tools used to analyze it. Traditional analytics deals with structured data, typically stored in relational databases . This type of database helps ensure that data is well-organized and easy for a computer to understand. Traditional data analytics relies on statistical methods and tools like structured query language (SQL) for querying databases.

Big data analytics involves massive amounts of data in various formats, including structured, semi-structured and unstructured data. The complexity of this data requires more sophisticated analysis techniques. Big data analytics employs advanced techniques like machine learning and data mining to extract information from complex data sets. It often requires distributed processing systems like Hadoop to manage the sheer volume of data.

These are the four methods of data analysis at work within big data:

The "what happened" stage of data analysis. Here, the focus is on summarizing and describing past data to understand its basic characteristics.

The “why it happened” stage. By delving deep into the data, diagnostic analysis identifies the root patterns and trends observed in descriptive analytics.

The “what will happen” stage. It uses historical data, statistical modeling and machine learning to forecast trends.

Describes the “what to do” stage, which goes beyond prediction to provide recommendations for optimizing future actions based on insights derived from all previous.

The following dimensions highlight the core challenges and opportunities inherent in big data analytics.

The sheer volume of data generated today, from social media feeds, IoT devices, transaction records and more, presents a significant challenge. Traditional data storage and processing solutions are often inadequate to handle this scale efficiently. Big data technologies and cloud-based storage solutions enable organizations to store and manage these vast data sets cost-effectively, protecting valuable data from being discarded due to storage limitations.

Data is being produced at unprecedented speeds, from real-time social media updates to high-frequency stock trading records. The velocity at which data flows into organizations requires robust processing capabilities to capture, process and deliver accurate analysis in near real-time. Stream processing frameworks and in-memory data processing are designed to handle these rapid data streams and balance supply with demand.

Today's data comes in many formats, from structured to numeric data in traditional databases to unstructured text, video and images from diverse sources like social media and video surveillance. This variety demans flexible data management systems to handle and integrate disparate data types for comprehensive analysis. NoSQL databases , data lakes and schema -on-read technologies provide the necessary flexibility to accommodate the diverse nature of big data.

Data reliability and accuracy are critical, as decisions based on inaccurate or incomplete data can lead to negative outcomes. Veracity refers to the data's trustworthiness, encompassing data quality, noise and anomaly detection issues. Techniques and tools for data cleaning, validation and verification are integral to ensuring the integrity of big data, enabling organizations to make better decisions based on reliable information.

Big data analytics aims to extract actionable insights that offer tangible value. This involves turning vast data sets into meaningful information that can inform strategic decisions, uncover new opportunities and drive innovation. Advanced analytics, machine learning and AI are key to unlocking the value contained within big data, transforming raw data into strategic assets.

Data professionals, analysts, scientists and statisticians prepare and process data in a data lakehouse, which combines the performance of a data lakehouse with the flexibility of a data lake to clean data and ensure its quality. The process of turning raw data into valuable insights encompasses several key stages:

• Collect data: The first step involves gathering data, which can be a mix of structured and unstructured forms from myriad sources like cloud, mobile applications and IoT sensors. This step is where organizations adapt their data collection strategies and integrate data from varied sources into central repositories like a data lake, which can automatically assign metadata for better manageability and accessibility.
• Process data: After being collected, data must be systematically organized, extracted, transformed and then loaded into a storage system to ensure accurate analytical outcomes. Processing involves converting raw data into a format that is usable for analysis, which might involve aggregating data from different sources, converting data types or organizing data into structure formats. Given the exponential growth of available data, this stage can be challenging. Processing strategies may vary between batch processing, which handles large data volumes over extended periods and stream processing, which deals with smaller real-time data batches.
• Clean data: Regardless of size, data must be cleaned to ensure quality and relevance. Cleaning data involves formatting it correctly, removing duplicates and eliminating irrelevant entries. Clean data prevents the corruption of output and safeguard’s reliability and accuracy.
• Analyze data: Advanced analytics, such as data mining, predictive analytics, machine learning and deep learning, are employed to sift through the processed and cleaned data. These methods allow users to discover patterns, relationships and trends within the data, providing a solid foundation for informed decision-making.

Under the Analyze umbrella, there are potentially many technologies at work, including data mining, which is used to identify patterns and relationships within large data sets; predictive analytics, which forecasts future trends and opportunities; and deep learning , which mimics human learning patterns to uncover more abstract ideas.

Deep learning uses an artificial neural network with multiple layers to model complex patterns in data. Unlike traditional machine learning algorithms, deep learning learns from images, sound and text without manual help. For big data analytics, this powerful capability means the volume and complexity of data is not an issue.

Natural language processing (NLP) models allow machines to understand, interpret and generate human language. Within big data analytics, NLP extracts insights from massive unstructured text data generated across an organization and beyond.

Structured Data

Structured data refers to highly organized information that is easily searchable and typically stored in relational databases or spreadsheets. It adheres to a rigid schema, meaning each data element is clearly defined and accessible in a fixed field within a record or file. Examples of structured data include:

• Customer names and addresses in a customer relationship management (CRM) system
• Transactional data in financial records, such as sales figures and account balances
• Employee data in human resources databases, including job titles and salaries

Structured data's main advantage is its simplicity for entry, search and analysis, often using straightforward database queries like SQL. However, the rapidly expanding universe of big data means that structured data represents a relatively small portion of the total data available to organizations.

Unstructured Data

Unstructured data lacks a pre-defined data model, making it more difficult to collect, process and analyze. It comprises the majority of data generated today, and includes formats such as:

• Textual content from documents, emails and social media posts
• Multimedia content, including images, audio files and videos
• Data from IoT devices, which can include a mix of sensor data, log files and time-series data

The primary challenge with unstructured data is its complexity and lack of uniformity, requiring more sophisticated methods for indexing, searching and analyzing. NLP, machine learning and advanced analytics platforms are often employed to extract meaningful insights from unstructured data.

Semi-structured data

Semi-structured data occupies the middle ground between structured and unstructured data. While it does not reside in a relational database, it contains tags or other markers to separate semantic elements and enforce hierarchies of records and fields within the data. Examples include:

• JSON (JavaScript Object Notation) and XML (eXtensible Markup Language) files, which are commonly used for web data interchange
• Email, where the data has a standardized format (e.g., headers, subject, body) but the content within each section is unstructured
• NoSQL databases, can store and manage semi-structured data more efficiently than traditional relational databases

Semi-structured data is more flexible than structured data but easier to analyze than unstructured data, providing a balance that is particularly useful in web applications and data integration tasks.

Ensuring data quality and integrity, integrating disparate data sources, protecting data privacy and security and finding the right talent to analyze and interpret data can present challenges to organizations looking to leverage their extensive data volumes. What follows are the benefits organizations can realize once they see success with big data analytics:

Real-time intelligence

One of the standout advantages of big data analytics is the capacity to provide real-time intelligence. Organizations can analyze vast amounts of data as it is generated from myriad sources and in various formats. Real-time insight allows businesses to make quick decisions, respond to market changes instantaneously and identify and act on opportunities as they arise.

Better-informed decisions

With big data analytics, organizations can uncover previously hidden trends, patterns and correlations. A deeper understanding equips leaders and decision-makers with the information needed to strategize effectively, enhancing business decision-making in supply chain management, e-commerce, operations and overall strategic direction.  

Cost savings

Big data analytics drives cost savings by identifying business process efficiencies and optimizations. Organizations can pinpoint wasteful expenditures by analyzing large datasets, streamlining operations and enhancing productivity. Moreover, predictive analytics can forecast future trends, allowing companies to allocate resources more efficiently and avoid costly missteps.

Better customer engagement

Understanding customer needs, behaviors and sentiments is crucial for successful engagement and big data analytics provides the tools to achieve this understanding. Companies gain insights into consumer preferences and tailor their marketing strategies by analyzing customer data.

Optimized risk management strategies

Big data analytics enhances an organization's ability to manage risk by providing the tools to identify, assess and address threats in real time. Predictive analytics can foresee potential dangers before they materialize, allowing companies to devise preemptive strategies.

As organizations across industries seek to leverage data to drive decision-making, improve operational efficiencies and enhance customer experiences, the demand for skilled professionals in big data analytics has surged. Here are some prominent career paths that utilize big data analytics:

Data scientist

Data scientists analyze complex digital data to assist businesses in making decisions. Using their data science training and advanced analytics technologies, including machine learning and predictive modeling, they uncover hidden insights in data.

Data analyst

Data analysts turn data into information and information into insights. They use statistical techniques to analyze and extract meaningful trends from data sets, often to inform business strategy and decisions.

Data engineer

Data engineers prepare, process and manage big data infrastructure and tools. They also develop, maintain, test and evaluate data solutions within organizations, often working with massive datasets to assist in analytics projects.

Machine learning engineer

Machine learning engineers focus on designing and implementing machine learning applications. They develop sophisticated algorithms that learn from and make predictions on data.

Business intelligence analyst

Business intelligence (BI) analysts help businesses make data-driven decisions by analyzing data to produce actionable insights. They often use BI tools to convert data into easy-to-understand reports and visualizations for business stakeholders.

Data visualization specialist

These specialists focus on the visual representation of data. They create data visualizations that help end users understand the significance of data by placing it in a visual context.

Data architect

Data architects design, create, deploy and manage an organization's data architecture. They define how data is stored, consumed, integrated and managed by different data entities and IT systems.

IBM and Cloudera have partnered to create an industry-leading, enterprise-grade big data framework distribution plus a variety of cloud services and products — all designed to achieve faster analytics at scale.

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Emergency Medical Services (EMS) Home Rule State Law Fact Sheet

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• This fact sheet was created to describe the influence of local government autonomy on emergency medical services and its relation to cardiovascular disease outcomes in medically underserved communities.
• The fact sheet describes the types of state laws analyzed by public health attorneys between January 2021 and January 2022.
• The fact sheet begins to clarify the influence that local government autonomy and property tax laws have on EMS and health outcomes.

Introduction

The Division for Heart Disease and Stroke Prevention created the Home Rule-Emergency Medical Services (HR-EMS) Project to assess the influence of local government autonomy on emergency medical services and its relation to cardiovascular disease outcomes in medically underserved communities.

As part of the project, this state law fact sheet discusses the collection of laws related to local government autonomy to establish and fund local EMS for five US states: Alabama, California, Georgia, Massachusetts, and Ohio.

This fact sheet walks through the types of state laws analyzed by public health attorneys between January 2021 and January 2022.

The laws in this study address local government EMS funding mechanisms related to local property taxes, special districts, mutual aid contracts, issuance of government bonds, and user/service fees.

Bureaucratic requirements, such as voting, public hearing, and public notice requirements, are also analyzed and discussed.

Research that examines the relationship between a community's socioeconomic status and EMS resources is lacking. Further research can help examine EMS funding and its correlation to cardiovascular disease outcomes in disproportionately affected communities.

This fact sheet begins to clarify the influence that local government autonomy and property tax laws have on EMS and health outcomes.

The policy surveillance information presented here may help policy makers, public health practitioners, researchers, and others understand existing structures, facilitators, and challenges that local governments face in providing and funding life-saving emergency medical services. This information can guide improvements and advance health equity.

Snapshots of the laws discussed in this fact sheet

Below are snapshots of the laws discussed in this fact sheet and outlined in more detail in Table 1: Summary of Laws Pertaining to Local Government Autonomy and Local EMS Funding Mechanisms, in Effect as of January 31, 2022 .

EMS background

In the United States, emergency medical services are not considered essential services. 1 They are provided and funded mainly by local governments, which leads to a wide variation in the cost and quality of services.

Nationwide, the cost of ambulance transport for ground ambulance providers varies substantially. Although recent estimates are limited, as of 2012, the median cost per transport was $429, but depending on the geographic area, this cost could be as low as $224 or as high as $2,204 (for both Medicare and non-Medicare transports). 2

Communities with lower average household incomes have a higher incidence of severe, life-threatening illnesses and rely more heavily on EMS (prehospital) care. 3 However, one recent nationwide study found that areas with higher median household incomes have shorter EMS response times and a higher percentage of White residents. 3

These differences in quality may also be due to system structure. 3 In addition to variations in cost, there are also differences in the level of service to rural areas across the United States. Rural counties have a higher percentage of elderly residents and residents with limitations in activities due to chronic conditions, as well as a lower median income than their urban counterparts. These factors make them among the groups that most need hospital services. 4 A 2018 study found that the 43% of rural hospitals that closed between 2005 and 2017 were more than 15 miles from the next closest hospital, resulting in substantially longer transport times. 5

Finally, female patients and patients in minority populations are disproportionately affected by delays and other shortcomings in emergency medical care. 6 For example, a nationwide EMS study reported that a lower percentage of women with chest pain received recommended treatments during emergency care. 6

In the United States, EMS care is funded mainly at the local level. Some states have adopted a more centralized EMS infrastructure, while others allow local jurisdictions to retain greater authority to develop, fund, and implement their EMS systems. These differences among states may be explained in part by the extent to which states constitutionally or legislatively grant local jurisdictions the power to enact their own laws to address issues of local concern, a concept known as local autonomy. 7

Such powers allow counties and cities to adopt their own public health laws around the provision and funding of emergency medical care.

Common sources of local government revenue include taxes (primarily property and sales taxes), user fees/fines, and bonds. Special districts are also frequently used to help fund these services.

Data collection and methods

Between January 2021 and January 2022, four public health attorneys and three legal interns (collectively referred to as the project team) collected and analyzed state statutes in effect as of January 31, 2022. They gathered relevant laws in Alabama, California, Georgia, Massachusetts, and Ohio from Westlaw Edge (Thomson Reuters in Eagan, Minnesota) and official state legislation websites.

States were selected based on:

• Geographic diversity (at least one state from each of the following Census regions: Northeast, South, Midwest, West).
• Diversity in urban/rural breakdown in each state (based on the 2018 CityLab's Congressional Density Index). 8
• Availability of public information about state and local EMS funding.
• Amount of local government revenue generated from property taxes (based on 2017 US Census Bureau revenue data and the state property tax database by Lincoln Institute of Land Policy). 9

Before collecting data and coding laws, the project team conducted a literature review and consulted experts in the legal field to help them develop coding protocols. The protocols outline exclusion and inclusion criteria, coding instructions, and coding questions.

For each state, two project team members independently collected and coded the laws using the coding protocols. The two team members subsequently met to discuss and reconcile discrepancies in codes and analyses of state law.

The project team coded state laws related to local autonomy and funding of local EMS. This study does not include analysis of:

• Case law (law based on judicial decisions).
• Special districts that do not pertain to EMS or fire services.
• Laws pertaining to property, such as laws governing eminent domain, blighted property, or tax penalties.

Local governments' authority to regulate local EMS agencies

Laws from each state were analyzed to assess the level of authorized local government autonomy to establish and fund local EMS agencies. Four of the five states grant statewide local government autonomy (i.e., all local governments in the state can enact ordinances to regulate local EMS).

Table 2a lists laws related to statewide local government autonomy in effect as of January 31, 2022. Although Alabama does not allow statewide local government autonomy, selected local governments are granted autonomy through constitutional amendments (e.g., ALA. CONST. amend. 783, § 5.01 (West, Westlaw through 2021 amendments)).

Taxes and government bonds as funding mechanisms for local EMS

In all five states, special taxes are allowed and require an election in the community in order to be imposed. Special taxes are those levied when the county or special district's board of directors finds that the current revenue is insufficient to cover the expenses of the local EMS agency.

Bonds are another method that local governments may use to supply the needs of local EMS agencies. The ability to incur debt for local EMS purposes is authorized throughout the five states. The type of bonds analyzed varied by state (see Table 1 for type of local bonds analyzed; see Table 2b for a compiled list of laws).

State government restrictions on local tax levies and government bonds

Local government tax levies and bonds may be subject to limitations. Restrictions vary by statute, and the local government must adhere to these restrictions before it can establish local ordinances. Table 1 lists authorized purposes of tax levies and bonds that relate to EMS. It also lists other restrictions, such as frequency of tax assessment, maximum tax rate, maximum interest rate, and maximum term (see Tables 2a and 2b for the specific local tax and government bond restrictions for each statutory citation listed).

Special districts authorized to provide and fund local EMS

Special districts are created by local governments to provide and/or fund public services for their communities. Taxes imposed by special districts allow local governments to collect additional revenue that is typically not subject to state tax limitations.

Although most special district laws are limited in scope, some are drafted more broadly to encompass a variety of municipal services needed in a community (see Table 2a for all special district types permitted to establish and/or fund local EMS and for special districts' laws analyzed).

Definition‎

Mutual aid contracts to provide local ems.

All five states authorize local governments/special districts to enter into mutual aid contracts with other local governments/special districts to provide or receive EMS. Under these contracts, local governments can elect to charge the citizens of the recipient community a reasonable fee for EMS care rendered (with the reasonableness of the fee to be agreed upon by the contracting counties; see Table 2b for mutual aid laws analyzed).

How are special districts funded?‎

Fees as revenue for local ems purposes.

Local governments/special districts are allowed to charge a fee for services provided to their communities (see Table 1 for the types of fees permitted in each state). Fees are then used as revenue to maintain equipment, construct buildings, pay wages, and/or supply anything necessary to fulfill the purpose of the district or service provided. Fees can also be used as revenue to satisfy bond payments.

State enacted procedural requirements for local laws

Before establishing local taxes, bonds, special districts, fees, and mutual aid agreements, a state government may require a local government to complete a bureaucratic process or other procedure. Such requirements may include:

• Public advertisements/notices.
• Public hearings.
• Voter approval of the local government board members or citizens.
• Adoption of a county charter.

See Tables 2a and 2b for the procedural requirements for each statutory citation listed.

Implications and conclusions

Understanding local governments' legal authority to self-govern and establish local EMS agencies will aid efforts to improve health disparities in access to pre-hospital care among underserved communities across the United States.

In each state analyzed, communities' property value influenced the availability of funds for local EMS. Since the majority of EMS funds come from property tax, this raises health equity concerns (e.g., access to quality care) for lower-income communities. There is a lack of research into the relationship between a community's socioeconomic status and its EMS resources. Further research can help examine EMS funding and its correlation to cardiovascular disease outcomes in disproportionately affected communities.

Based on the project team's knowledge after extensive research, this is the first study that captures local governments' ability to provide and fund emergency medical services through local autonomy laws, tax laws, and special district laws. However, this study is subject to limitations.

• First, laws analyzed in this study do not represent the totality of state laws that may address local government autonomy and the enactment of local laws permitted by state governments.
• Second, this state law fact sheet examines only five states, so it presents a limited analysis of the relevant laws and policies across the nation.

Nonetheless, the policy surveillance information presented may help policy makers, public health practitioners, researchers, and others to understand structures, facilitators and challenges facing local governments in their ability to provide and fund life-saving EMS services. This information may help guide improvements and advance health equity.

The provision and funding of emergency medical services is complex. For a deeper analysis of the organization and funding of EMS, the HR-EMS project will release two additional fact sheets. The first will describe local government autonomy and EMS funding, organization, management, while the second will explore disparities in EMS service and CVD outcomes. In addition to national data, both fact sheets will also describe a case study of five local EMS agencies in California.

Acknowledgements

The four public health attorneys are contractors of ASRT, Inc., and work with the Applied Research and Translation team in the Division for Heart Disease and Stroke Prevention of the Centers for Disease Control and Prevention (CDC). A special thank you to the CDC’s Public Health Law Program legal interns, Alex Sedlak, Shreya Santhanam, and Marie Carp, for assisting in the research and outline of this state law fact sheet.

This fact sheet presents a summary of local autonomy and EMS-related state laws in effect as of January 31, 2022, and is not intended to promote any particular legislative, regulatory, or other action. It is not intended as a substitute for professional, legal, or other advice. Always seek the advice of an attorney or other qualified professional with any questions you may have about a legal matter.

• Johnson C, Curti D. EMS services across state lines. Texas Tech Admin Law J . 2015;16:333–356.
• United States Government Accountability Office. Ambulance Providers: Costs and Medicare Margins Varied Widely; Transports of Beneficiaries Have Increased . 2012. Report to Congressional Committees GAO-13-6. https://www.gao.gov/products/gao-13-6
• Hsia RY, Huang D, Mann NC, et al. A US national study of the association between income and ambulance response time in cardiac arrest. JAMA Netw Open. 2018;1(7):e185202.
• Covitz JA, Richter A, MacKinnon DJ. 911 and the area code from which you call: how to improve the disparity in California's emergency medical services. J Emerg Manag . 2020;18(3):247–260.
• United States Government Accountability Office. Rural Hospital Closures: Number and Characteristics of Affected Hospitals and Contributing Factors . 2018. Report to Congressional Requesters GAO-18-634. https://www.gao.gov/assets/gao-18-634.pdf [PDF – 857 KB]
• Lewis JF, Zeger SL, Li X, et al. Gender differences in the quality of EMS care nationwide for chest pain and out-of-hospital cardiac arrest. Women's Health Issues. 2019;29(2):116–124.
• Wolman H, McManmon R, Bell M, Brunori D, et al. Comparing local government autonomy across states. Annual Conference on Taxation and Minutes of the Annual Meeting of the National Tax Association . 2008;101:377–383.
• CityLab. CityLab's Congressional Density Index [Database]. The Atlantic. Accessed January 22, 2024. https://github.com/theatlantic/citylab-data/blob/master/citylab-congress/methodology.md
• US Census Bureau. 2017 State & Local Government Finance Tables [Database]. Accessed January 22, 2024. https://www.census.gov/data/tables/2017/econ/gov-finances/summary-tables.html

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Eonix is not a typical Knoxville lab. Its next-gen battery work is largely done by robots

At first glance, the Eonix lab looks like any other at the University of Tennessee at Knoxville: There are solutions in vials, whirring computers and gloveboxes storing volatile materials in an oxygen-free environment.

But Eonix , a private company that discovers new battery materials and makes nonflammable lithium ion batteries, is completely unique.

In just 1,000 square feet, Eonix can go from idea to finished product in a fraction of the typical time and cost, thanks to custom-built robots and an advanced sensor. In the lab, a handful of scientists oversee selection and testing of new liquid electrolytes that alter a battery's properties once injected.

CEO Don DeRosa said there's a "symphony" of chemical reactions happening every second inside a battery, and the same could be said for the lab, though it's a quiet symphony of data and machines.

"We do have to have a few humans sprinkled in here and there, but overall from a productivity and workflow perspective, it's predominantly automated," DeRosa told Knox News. "It's very relaxing as a scientist. We're able to collect a lot of high quality data and the data itself is automatically processed."

The end-to-end automated lab was the product of an early setback. Eonix was founded in 2014 by four students at the College of Nanoscale Science and Engineering in Albany, New York. After $500,000 and two years poured into a molecule for better batteries, DeRosa and his co-founders discovered it would be 600 times more expensive than the standard material.

So it was back to the drawing board, but with a new idea: Why not solve the larger problem, which is that it costs hundreds of millions of dollars to discover new materials, and many of them never end up in a battery?

The answer could not have come without Tennessee. With a two-year grant from the Department of Energy's Innovations Crossroads program embedded at Oak Ridge National Laboratory, the company moved to the Knoxville area in 2018.

After five years spent building an automated lab, now leased from UT, Eonix is sitting back and letting robots do some of the hardest work. The lab can do up to a year's work on new materials in just eight days. Its accelerated materials discovery platform is envied by competitors who are trying to build their own.

Eonix plans to build a pilot manufacturing line in the next year, likely in Knoxville. Its customers include the U.S. Department of Defense, which wants lithium ion batteries that won't explode in flames in its planes or on its soldiers.

Here's a glimpse into how the Eonix lab works and where it might go in a future where batteries are even more vital to the American automotive industry, energy grid and defense.

Eonix uses robots to find new materials faster

Developing lithium ion batteries, which power everything from smartphones to electric scooters and cars, requires handling many hazardous materials.

Any scientist who has worked in a glovebox, a contraption that seals chemicals in a separate atmosphere accessible by unwieldy rubber gloves, knows how "gruesome" the process can be, to use DeRosa's word.

Eonix built a custom robot that sits inside a glovebox and can put together 32 samples in one run. A computer system suggests formulas for it to make after scanning through a catalog of tens of millions of chemical compounds.

The massive data model is accessible to Eonix through an exclusive partnership with Schrödinger , a software company that has helped pharmaceutical companies discover new drugs for decades and is expanding into materials science. The two companies announced the partnership in 2022.

In exchange for equity in Eonix, Schrödinger will provide $15 million worth of software, computer time and services over three years. Its learning models process the massive amounts of data that Eonix creates and feeds it back into the lab.

After the glovebox robot has produced liquid electrolyte samples, Eonix researchers put them into an off-the-shelf robot that tests characteristics like their freezing point and how they would act in high elevations. If they pass the test, the solutions go into the company's advanced sensor.

The sensor, called ATLAS, is the answer to the company's early materials discovery woes. It can show Eonix what is going on inside the battery cell in real time, down to the flow of electrons. ATLAS can produce up to 7.2 terabytes, or around 7,200 gigabytes, of data per month. That's way too much to handle, DeRosa said, so the machine now creates about half a terabyte of data per month.

ATLAS takes the guesswork out of the equation by showing Eonix how new materials actually function in batteries and why.

If a new liquid electrolyte passes all these tests, it can be injected into a battery cell. Eonix partners with battery manufacturers to get cells that are 99% finished, only needing the last liquid step.

Depending on the liquid, Eonix is able to change the properties of a battery to suit the needs of customers without having to change how the cell is built.

This breakthrough, along with the sensors Eonix puts directly into battery cells during testing, are game changers. Its automated system allowed it to develop a nonflammable lithium ion battery in just four months.

The relationship with UT goes deeper than a lease. Eonix's other three co-founders now work in the semiconductor space and, apart from DeRosa, the lab staff includes current and former UT students.

What the future could be for Eonix

Eonix is in a phase of producing a small amount of relatively expensive lithium ion batteries with special qualities. That means the U.S. government is their ideal customer. The military wants lightweight batteries that won't catch fire to replace heavy lead acid batteries.

But in the future, Eonix might license new molecules and processes to automakers or utilities that could use them to build cheaper electric cars and store energy on the grid. Their customers could become private as well as public as their batteries become cheaper to make.

It helps that the Southeast is emerging as a "battery belt," with companies like GM, Ford and Hyundai building multibillion-dollar EV plants in Tennessee, Georgia and Kentucky.

Using materials that are easily available and batteries manufactured almost entirely by other companies, Eonix is speeding towards the future from its small and incredibly smart lab.

One issue the lab's five scientists haven't solved yet is what to name their glovebox robot. They have asked ChatGPT, OpenAI's chatbot, for suggestions to no avail. Their own ideas, DeRosa said, "range from incredibly nerdy to a very dark joke."

Daniel Dassow is a growth and development reporter focused on technology and energy. Phone 423-637-0878. Email  [email protected] .

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