practical problems examples in research

45 Research Problem Examples & Inspiration

A research problem is an issue of concern that is the catalyst for your research. It demonstrates why the research problem needs to take place in the first place.

Generally, you will write your research problem as a clear, concise, and focused statement that identifies an issue or gap in current knowledge that requires investigation.

The problem will likely also guide the direction and purpose of a study. Depending on the problem, you will identify a suitable methodology that will help address the problem and bring solutions to light.

Research Problem Examples

In the following examples, I’ll present some problems worth addressing, and some suggested theoretical frameworks and research methodologies that might fit with the study. Note, however, that these aren’t the only ways to approach the problems. Keep an open mind and consult with your dissertation supervisor!

Psychology Problems

1. Social Media and Self-Esteem: “How does prolonged exposure to social media platforms influence the self-esteem of adolescents?”

• Theoretical Framework : Social Comparison Theory
• Methodology : Longitudinal study tracking adolescents’ social media usage and self-esteem measures over time, combined with qualitative interviews.

2. Sleep and Cognitive Performance: “How does sleep quality and duration impact cognitive performance in adults?”

• Theoretical Framework : Cognitive Psychology
• Methodology : Experimental design with controlled sleep conditions, followed by cognitive tests. Participant sleep patterns can also be monitored using actigraphy.

3. Childhood Trauma and Adult Relationships: “How does unresolved childhood trauma influence attachment styles and relationship dynamics in adulthood?

• Theoretical Framework : Attachment Theory
• Methodology : Mixed methods, combining quantitative measures of attachment styles with qualitative in-depth interviews exploring past trauma and current relationship dynamics.

4. Mindfulness and Stress Reduction: “How effective is mindfulness meditation in reducing perceived stress and physiological markers of stress in working professionals?”

• Theoretical Framework : Humanist Psychology
• Methodology : Randomized controlled trial comparing a group practicing mindfulness meditation to a control group, measuring both self-reported stress and physiological markers (e.g., cortisol levels).

5. Implicit Bias and Decision Making: “To what extent do implicit biases influence decision-making processes in hiring practices?

• Theoretical Framework : Cognitive Dissonance Theory
• Methodology : Experimental design using Implicit Association Tests (IAT) to measure implicit biases, followed by simulated hiring tasks to observe decision-making behaviors.

6. Emotional Regulation and Academic Performance: “How does the ability to regulate emotions impact academic performance in college students?”

• Theoretical Framework : Cognitive Theory of Emotion
• Methodology : Quantitative surveys measuring emotional regulation strategies, combined with academic performance metrics (e.g., GPA).

7. Nature Exposure and Mental Well-being: “Does regular exposure to natural environments improve mental well-being and reduce symptoms of anxiety and depression?”

• Theoretical Framework : Biophilia Hypothesis
• Methodology : Longitudinal study comparing mental health measures of individuals with regular nature exposure to those without, possibly using ecological momentary assessment for real-time data collection.

8. Video Games and Cognitive Skills: “How do action video games influence cognitive skills such as attention, spatial reasoning, and problem-solving?”

• Theoretical Framework : Cognitive Load Theory
• Methodology : Experimental design with pre- and post-tests, comparing cognitive skills of participants before and after a period of action video game play.

9. Parenting Styles and Child Resilience: “How do different parenting styles influence the development of resilience in children facing adversities?”

• Theoretical Framework : Baumrind’s Parenting Styles Inventory
• Methodology : Mixed methods, combining quantitative measures of resilience and parenting styles with qualitative interviews exploring children’s experiences and perceptions.

10. Memory and Aging: “How does the aging process impact episodic memory , and what strategies can mitigate age-related memory decline?

• Theoretical Framework : Information Processing Theory
• Methodology : Cross-sectional study comparing episodic memory performance across different age groups, combined with interventions like memory training or mnemonic strategies to assess potential improvements.

Education Problems

11. Equity and Access : “How do socioeconomic factors influence students’ access to quality education, and what interventions can bridge the gap?

• Theoretical Framework : Critical Pedagogy
• Methodology : Mixed methods, combining quantitative data on student outcomes with qualitative interviews and focus groups with students, parents, and educators.

12. Digital Divide : How does the lack of access to technology and the internet affect remote learning outcomes, and how can this divide be addressed?

• Theoretical Framework : Social Construction of Technology Theory
• Methodology : Survey research to gather data on access to technology, followed by case studies in selected areas.

13. Teacher Efficacy : “What factors contribute to teacher self-efficacy, and how does it impact student achievement?”

• Theoretical Framework : Bandura’s Self-Efficacy Theory
• Methodology : Quantitative surveys to measure teacher self-efficacy, combined with qualitative interviews to explore factors affecting it.

14. Curriculum Relevance : “How can curricula be made more relevant to diverse student populations, incorporating cultural and local contexts?”

• Theoretical Framework : Sociocultural Theory
• Methodology : Content analysis of curricula, combined with focus groups with students and teachers.

15. Special Education : “What are the most effective instructional strategies for students with specific learning disabilities?

• Theoretical Framework : Social Learning Theory
• Methodology : Experimental design comparing different instructional strategies, with pre- and post-tests to measure student achievement.

16. Dropout Rates : “What factors contribute to high school dropout rates, and what interventions can help retain students?”

• Methodology : Longitudinal study tracking students over time, combined with interviews with dropouts.

17. Bilingual Education : “How does bilingual education impact cognitive development and academic achievement?

• Methodology : Comparative study of students in bilingual vs. monolingual programs, using standardized tests and qualitative interviews.

18. Classroom Management: “What reward strategies are most effective in managing diverse classrooms and promoting a positive learning environment?

• Theoretical Framework : Behaviorism (e.g., Skinner’s Operant Conditioning)
• Methodology : Observational research in classrooms , combined with teacher interviews.

19. Standardized Testing : “How do standardized tests affect student motivation, learning, and curriculum design?”

• Theoretical Framework : Critical Theory
• Methodology : Quantitative analysis of test scores and student outcomes, combined with qualitative interviews with educators and students.

20. STEM Education : “What methods can be employed to increase interest and proficiency in STEM (Science, Technology, Engineering, and Mathematics) fields among underrepresented student groups?”

• Theoretical Framework : Constructivist Learning Theory
• Methodology : Experimental design comparing different instructional methods, with pre- and post-tests.

21. Social-Emotional Learning : “How can social-emotional learning be effectively integrated into the curriculum, and what are its impacts on student well-being and academic outcomes?”

• Theoretical Framework : Goleman’s Emotional Intelligence Theory
• Methodology : Mixed methods, combining quantitative measures of student well-being with qualitative interviews.

22. Parental Involvement : “How does parental involvement influence student achievement, and what strategies can schools use to increase it?”

• Theoretical Framework : Reggio Emilia’s Model (Community Engagement Focus)
• Methodology : Survey research with parents and teachers, combined with case studies in selected schools.

23. Early Childhood Education : “What are the long-term impacts of quality early childhood education on academic and life outcomes?”

• Theoretical Framework : Erikson’s Stages of Psychosocial Development
• Methodology : Longitudinal study comparing students with and without early childhood education, combined with observational research.

24. Teacher Training and Professional Development : “How can teacher training programs be improved to address the evolving needs of the 21st-century classroom?”

• Theoretical Framework : Adult Learning Theory (Andragogy)
• Methodology : Pre- and post-assessments of teacher competencies, combined with focus groups.

25. Educational Technology : “How can technology be effectively integrated into the classroom to enhance learning, and what are the potential drawbacks or challenges?”

• Theoretical Framework : Technological Pedagogical Content Knowledge (TPACK)
• Methodology : Experimental design comparing classrooms with and without specific technologies, combined with teacher and student interviews.

Sociology Problems

26. Urbanization and Social Ties: “How does rapid urbanization impact the strength and nature of social ties in communities?”

• Theoretical Framework : Structural Functionalism
• Methodology : Mixed methods, combining quantitative surveys on social ties with qualitative interviews in urbanizing areas.

27. Gender Roles in Modern Families: “How have traditional gender roles evolved in families with dual-income households?”

• Theoretical Framework : Gender Schema Theory
• Methodology : Qualitative interviews with dual-income families, combined with historical data analysis.

28. Social Media and Collective Behavior: “How does social media influence collective behaviors and the formation of social movements?”

• Theoretical Framework : Emergent Norm Theory
• Methodology : Content analysis of social media platforms, combined with quantitative surveys on participation in social movements.

29. Education and Social Mobility: “To what extent does access to quality education influence social mobility in socioeconomically diverse settings?”

• Methodology : Longitudinal study tracking educational access and subsequent socioeconomic status, combined with qualitative interviews.

30. Religion and Social Cohesion: “How do religious beliefs and practices contribute to social cohesion in multicultural societies?”

• Methodology : Quantitative surveys on religious beliefs and perceptions of social cohesion, combined with ethnographic studies.

31. Consumer Culture and Identity Formation: “How does consumer culture influence individual identity formation and personal values?”

• Theoretical Framework : Social Identity Theory
• Methodology : Mixed methods, combining content analysis of advertising with qualitative interviews on identity and values.

32. Migration and Cultural Assimilation: “How do migrants negotiate cultural assimilation and preservation of their original cultural identities in their host countries?”

• Theoretical Framework : Post-Structuralism
• Methodology : Qualitative interviews with migrants, combined with observational studies in multicultural communities.

33. Social Networks and Mental Health: “How do social networks, both online and offline, impact mental health and well-being?”

• Theoretical Framework : Social Network Theory
• Methodology : Quantitative surveys assessing social network characteristics and mental health metrics, combined with qualitative interviews.

34. Crime, Deviance, and Social Control: “How do societal norms and values shape definitions of crime and deviance, and how are these definitions enforced?”

• Theoretical Framework : Labeling Theory
• Methodology : Content analysis of legal documents and media, combined with ethnographic studies in diverse communities.

35. Technology and Social Interaction: “How has the proliferation of digital technology influenced face-to-face social interactions and community building?”

• Theoretical Framework : Technological Determinism
• Methodology : Mixed methods, combining quantitative surveys on technology use with qualitative observations of social interactions in various settings.

Nursing Problems

36. Patient Communication and Recovery: “How does effective nurse-patient communication influence patient recovery rates and overall satisfaction with care?”

• Methodology : Quantitative surveys assessing patient satisfaction and recovery metrics, combined with observational studies on nurse-patient interactions.

37. Stress Management in Nursing: “What are the primary sources of occupational stress for nurses, and how can they be effectively managed to prevent burnout?”

• Methodology : Mixed methods, combining quantitative measures of stress and burnout with qualitative interviews exploring personal experiences and coping mechanisms.

38. Hand Hygiene Compliance: “How effective are different interventions in improving hand hygiene compliance among nursing staff, and what are the barriers to consistent hand hygiene?”

• Methodology : Experimental design comparing hand hygiene rates before and after specific interventions, combined with focus groups to understand barriers.

39. Nurse-Patient Ratios and Patient Outcomes: “How do nurse-patient ratios impact patient outcomes, including recovery rates, complications, and hospital readmissions?”

• Methodology : Quantitative study analyzing patient outcomes in relation to staffing levels, possibly using retrospective chart reviews.

40. Continuing Education and Clinical Competence: “How does regular continuing education influence clinical competence and confidence among nurses?”

• Methodology : Longitudinal study tracking nurses’ clinical skills and confidence over time as they engage in continuing education, combined with patient outcome measures to assess potential impacts on care quality.

Communication Studies Problems

41. Media Representation and Public Perception: “How does media representation of minority groups influence public perceptions and biases?”

• Theoretical Framework : Cultivation Theory
• Methodology : Content analysis of media representations combined with quantitative surveys assessing public perceptions and attitudes.

42. Digital Communication and Relationship Building: “How has the rise of digital communication platforms impacted the way individuals build and maintain personal relationships?”

• Theoretical Framework : Social Penetration Theory
• Methodology : Mixed methods, combining quantitative surveys on digital communication habits with qualitative interviews exploring personal relationship dynamics.

43. Crisis Communication Effectiveness: “What strategies are most effective in managing public relations during organizational crises, and how do they influence public trust?”

• Theoretical Framework : Situational Crisis Communication Theory (SCCT)
• Methodology : Case study analysis of past organizational crises, assessing communication strategies used and subsequent public trust metrics.

44. Nonverbal Cues in Virtual Communication: “How do nonverbal cues, such as facial expressions and gestures, influence message interpretation in virtual communication platforms?”

• Theoretical Framework : Social Semiotics
• Methodology : Experimental design using video conferencing tools, analyzing participants’ interpretations of messages with varying nonverbal cues.

45. Influence of Social Media on Political Engagement: “How does exposure to political content on social media platforms influence individuals’ political engagement and activism?”

• Theoretical Framework : Uses and Gratifications Theory
• Methodology : Quantitative surveys assessing social media habits and political engagement levels, combined with content analysis of political posts on popular platforms.

Before you Go: Tips and Tricks for Writing a Research Problem

This is an incredibly stressful time for research students. The research problem is going to lock you into a specific line of inquiry for the rest of your studies.

So, here’s what I tend to suggest to my students:

• Start with something you find intellectually stimulating – Too many students choose projects because they think it hasn’t been studies or they’ve found a research gap. Don’t over-estimate the importance of finding a research gap. There are gaps in every line of inquiry. For now, just find a topic you think you can really sink your teeth into and will enjoy learning about.
• Take 5 ideas to your supervisor – Approach your research supervisor, professor, lecturer, TA, our course leader with 5 research problem ideas and run each by them. The supervisor will have valuable insights that you didn’t consider that will help you narrow-down and refine your problem even more.
• Trust your supervisor – The supervisor-student relationship is often very strained and stressful. While of course this is your project, your supervisor knows the internal politics and conventions of academic research. The depth of knowledge about how to navigate academia and get you out the other end with your degree is invaluable. Don’t underestimate their advice.

I’ve got a full article on all my tips and tricks for doing research projects right here – I recommend reading it:

• 9 Tips on How to Choose a Dissertation Topic

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 5 Top Tips for Succeeding at University
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 50 Durable Goods Examples
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 100 Consumer Goods Examples
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 30 Globalization Pros and Cons

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The Research Problem & Statement

What they are & how to write them (with examples)

By: Derek Jansen (MBA) | Expert Reviewed By: Eunice Rautenbach (DTech) | March 2023

If you’re new to academic research, you’re bound to encounter the concept of a “ research problem ” or “ problem statement ” fairly early in your learning journey. Having a good research problem is essential, as it provides a foundation for developing high-quality research, from relatively small research papers to a full-length PhD dissertations and theses.

In this post, we’ll unpack what a research problem is and how it’s related to a problem statement . We’ll also share some examples and provide a step-by-step process you can follow to identify and evaluate study-worthy research problems for your own project.

Overview: Research Problem 101

What is a research problem.

• What is a problem statement?

Where do research problems come from?

• How to find a suitable research problem
• Key takeaways

A research problem is, at the simplest level, the core issue that a study will try to solve or (at least) examine. In other words, it’s an explicit declaration about the problem that your dissertation, thesis or research paper will address. More technically, it identifies the research gap that the study will attempt to fill (more on that later).

Let’s look at an example to make the research problem a little more tangible.

To justify a hypothetical study, you might argue that there’s currently a lack of research regarding the challenges experienced by first-generation college students when writing their dissertations [ PROBLEM ] . As a result, these students struggle to successfully complete their dissertations, leading to higher-than-average dropout rates [ CONSEQUENCE ]. Therefore, your study will aim to address this lack of research – i.e., this research problem [ SOLUTION ].

A research problem can be theoretical in nature, focusing on an area of academic research that is lacking in some way. Alternatively, a research problem can be more applied in nature, focused on finding a practical solution to an established problem within an industry or an organisation. In other words, theoretical research problems are motivated by the desire to grow the overall body of knowledge , while applied research problems are motivated by the need to find practical solutions to current real-world problems (such as the one in the example above).

As you can probably see, the research problem acts as the driving force behind any study , as it directly shapes the research aims, objectives and research questions , as well as the research approach. Therefore, it’s really important to develop a very clearly articulated research problem before you even start your research proposal . A vague research problem will lead to unfocused, potentially conflicting research aims, objectives and research questions .

What is a research problem statement?

As the name suggests, a problem statement (within a research context, at least) is an explicit statement that clearly and concisely articulates the specific research problem your study will address. While your research problem can span over multiple paragraphs, your problem statement should be brief , ideally no longer than one paragraph . Importantly, it must clearly state what the problem is (whether theoretical or practical in nature) and how the study will address it.

Here’s an example of a statement of the problem in a research context:

Rural communities across Ghana lack access to clean water, leading to high rates of waterborne illnesses and infant mortality. Despite this, there is little research investigating the effectiveness of community-led water supply projects within the Ghanaian context. Therefore, this study aims to investigate the effectiveness of such projects in improving access to clean water and reducing rates of waterborne illnesses in these communities.

As you can see, this problem statement clearly and concisely identifies the issue that needs to be addressed (i.e., a lack of research regarding the effectiveness of community-led water supply projects) and the research question that the study aims to answer (i.e., are community-led water supply projects effective in reducing waterborne illnesses?), all within one short paragraph.

Need a helping hand?

Wherever there is a lack of well-established and agreed-upon academic literature , there is an opportunity for research problems to arise, since there is a paucity of (credible) knowledge. In other words, research problems are derived from research gaps . These gaps can arise from various sources, including the emergence of new frontiers or new contexts, as well as disagreements within the existing research.

Let’s look at each of these scenarios:

New frontiers – new technologies, discoveries or breakthroughs can open up entirely new frontiers where there is very little existing research, thereby creating fresh research gaps. For example, as generative AI technology became accessible to the general public in 2023, the full implications and knock-on effects of this were (or perhaps, still are) largely unknown and therefore present multiple avenues for researchers to explore.

New contexts – very often, existing research tends to be concentrated on specific contexts and geographies. Therefore, even within well-studied fields, there is often a lack of research within niche contexts. For example, just because a study finds certain results within a western context doesn’t mean that it would necessarily find the same within an eastern context. If there’s reason to believe that results may vary across these geographies, a potential research gap emerges.

Disagreements – within many areas of existing research, there are (quite naturally) conflicting views between researchers, where each side presents strong points that pull in opposing directions. In such cases, it’s still somewhat uncertain as to which viewpoint (if any) is more accurate. As a result, there is room for further research in an attempt to “settle” the debate.

Of course, many other potential scenarios can give rise to research gaps, and consequently, research problems, but these common ones are a useful starting point. If you’re interested in research gaps, you can learn more here .

How to find a research problem

Given that research problems flow from research gaps , finding a strong research problem for your research project means that you’ll need to first identify a clear research gap. Below, we’ll present a four-step process to help you find and evaluate potential research problems.

If you’ve read our other articles about finding a research topic , you’ll find the process below very familiar as the research problem is the foundation of any study . In other words, finding a research problem is much the same as finding a research topic.

Step 1 – Identify your area of interest

Naturally, the starting point is to first identify a general area of interest . Chances are you already have something in mind, but if not, have a look at past dissertations and theses within your institution to get some inspiration. These present a goldmine of information as they’ll not only give you ideas for your own research, but they’ll also help you see exactly what the norms and expectations are for these types of projects.

At this stage, you don’t need to get super specific. The objective is simply to identify a couple of potential research areas that interest you. For example, if you’re undertaking research as part of a business degree, you may be interested in social media marketing strategies for small businesses, leadership strategies for multinational companies, etc.

Depending on the type of project you’re undertaking, there may also be restrictions or requirements regarding what topic areas you’re allowed to investigate, what type of methodology you can utilise, etc. So, be sure to first familiarise yourself with your institution’s specific requirements and keep these front of mind as you explore potential research ideas.

Step 2 – Review the literature and develop a shortlist

Once you’ve decided on an area that interests you, it’s time to sink your teeth into the literature . In other words, you’ll need to familiarise yourself with the existing research regarding your interest area. Google Scholar is a good starting point for this, as you can simply enter a few keywords and quickly get a feel for what’s out there. Keep an eye out for recent literature reviews and systematic review-type journal articles, as these will provide a good overview of the current state of research.

At this stage, you don’t need to read every journal article from start to finish . A good strategy is to pay attention to the abstract, intro and conclusion , as together these provide a snapshot of the key takeaways. As you work your way through the literature, keep an eye out for what’s missing – in other words, what questions does the current research not answer adequately (or at all)? Importantly, pay attention to the section titled “ further research is needed ”, typically found towards the very end of each journal article. This section will specifically outline potential research gaps that you can explore, based on the current state of knowledge (provided the article you’re looking at is recent).

Take the time to engage with the literature and develop a big-picture understanding of the current state of knowledge. Reviewing the literature takes time and is an iterative process , but it’s an essential part of the research process, so don’t cut corners at this stage.

As you work through the review process, take note of any potential research gaps that are of interest to you. From there, develop a shortlist of potential research gaps (and resultant research problems) – ideally 3 – 5 options that interest you.

Step 3 – Evaluate your potential options

Once you’ve developed your shortlist, you’ll need to evaluate your options to identify a winner. There are many potential evaluation criteria that you can use, but we’ll outline three common ones here: value, practicality and personal appeal.

Value – a good research problem needs to create value when successfully addressed. Ask yourself:

• Who will this study benefit (e.g., practitioners, researchers, academia)?
• How will it benefit them specifically?
• How much will it benefit them?

Practicality – a good research problem needs to be manageable in light of your resources. Ask yourself:

• What data will I need access to?
• What knowledge and skills will I need to undertake the analysis?
• What equipment or software will I need to process and/or analyse the data?
• How much time will I need?
• What costs might I incur?

Personal appeal – a research project is a commitment, so the research problem that you choose needs to be genuinely attractive and interesting to you. Ask yourself:

• How appealing is the prospect of solving this research problem (on a scale of 1 – 10)?
• Why, specifically, is it attractive (or unattractive) to me?
• Does the research align with my longer-term goals (e.g., career goals, educational path, etc)?

Depending on how many potential options you have, you may want to consider creating a spreadsheet where you numerically rate each of the options in terms of these criteria. Remember to also include any criteria specified by your institution . From there, tally up the numbers and pick a winner.

Step 4 – Craft your problem statement

Once you’ve selected your research problem, the final step is to craft a problem statement. Remember, your problem statement needs to be a concise outline of what the core issue is and how your study will address it. Aim to fit this within one paragraph – don’t waffle on. Have a look at the problem statement example we mentioned earlier if you need some inspiration.

Key Takeaways

We’ve covered a lot of ground. Let’s do a quick recap of the key takeaways:

• A research problem is an explanation of the issue that your study will try to solve. This explanation needs to highlight the problem , the consequence and the solution or response.
• A problem statement is a clear and concise summary of the research problem , typically contained within one paragraph.
• Research problems emerge from research gaps , which themselves can emerge from multiple potential sources, including new frontiers, new contexts or disagreements within the existing literature.
• To find a research problem, you need to first identify your area of interest , then review the literature and develop a shortlist, after which you’ll evaluate your options, select a winner and craft a problem statement .

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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I APPRECIATE YOUR CONCISE AND MIND-CAPTIVATING INSIGHTS ON THE STATEMENT OF PROBLEMS. PLEASE I STILL NEED SOME SAMPLES RELATED TO SUICIDES.

Very pleased and appreciate clear information.

Your videos and information have been a life saver for me throughout my dissertation journey. I wish I’d discovered them sooner. Thank you!

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How Applied Research Is Used in Psychology

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Sean is a fact-checker and researcher with experience in sociology, field research, and data analytics.

Verywell / JR Bee

Basic vs. Applied Research

How it works, potential challenges.

• Real-World Applications

Applied research refers to scientific study and research that seeks to solve practical problems. This type of research plays an important role in solving everyday problems that can have an impact on life, work, health, and overall well-being. For example, it can be used to find solutions to everyday problems, cure illness, and develop innovative technologies.

There are many different types of psychologists who perform applied research. Human factors or industrial/organizational psychologists often do this type of research.

A few examples of applied research in psychology include:

• Analyzing what type of prompts will inspire people to volunteer their time to charities
• Investigating if background music in a work environment can contribute to greater productivity
• Investigating which treatment approach is the most effective for reducing anxiety
• Researching which strategies work best to motivate workers
• Studying different keyboard designs to determine which is the most efficient and ergonomic

As you may notice, all of these examples explore topics that will address real-world issues. This immediate and practical application of the findings is what distinguishes applied research from basic research , which instead focuses on theoretical concerns.  

Basic research tends to focus on "big picture" topics, such as increasing the scientific knowledge base around a particular topic. Applied research tends to work toward solving specific problems that affect people in the here and now.

For example a social psychologist may perform basic research on how different factors may contribute to violence in general. But if a social psychologist were conducting applied research, they may be tackling the question of what specific programs can be implemented to reduce violence in school settings.

However, basic research and applied research are actually closely intertwined. The information learned from basic research often builds the basis on which applied research is formed.

Basic research often informs applied research, and applied research often helps basic researchers refine their theories.

Applied research usually starts by identifying a problem that exists in the real world. Then psychologists begin to conduct research in order to identify a solution.

The type of research used depends on a variety of factors. This includes unique characteristics of the situation and the kind of problem psychologists are looking to solve.

Researchers might opt to use naturalistic observation to see the problem as it occurs in a real-world setting. They may then conduct experiments to determine why the problem occurs and to explore different solutions that may solve it.

As with any type of research, challenges can arise when conducting applied research in psychology. Some potential problems that researchers may face include:

Ethical Challenges

When conducting applied research in a naturalistic setting, researchers have to avoid ethical issues, which can make research more difficult. For example, they may come across concerns about privacy and informed consent.

In some cases, such as in workplace studies conducted by industrial-organizational psychologists, participants may feel pressured or even coerced into participating as a condition of their employment. Such factors sometimes impact the result of research studies.

Problems With Validity

Since applied research often takes place in the field, it can be difficult for researchers to maintain complete control over all of the variables . Extraneous variables can also exert a subtle influence that experimenters may not even consider could have an effect on the results.

In many cases, researchers are forced to strike a balance between a study's ecological validity (which is usually quite high in applied research) and the study's internal validity .  

Since applied research focuses on taking the results of scientific research and applying it to real-world situations, those who work in this line of research tend to be more concerned with the external validity of their work.

External validity refers to the extent that scientific findings can be generalized to other populations.

Researchers don't just want to know if the results of their experiments apply to the participants in their studies, rather they want these results to also apply to larger populations outside of the lab.

External validity is often of particular importance in applied research. Researchers want to know that their findings can be applied to real people in real settings.

How It's Used in the Real-World

Here are some examples of how applied research is used to solve real-world problems:

• A hospital may conduct applied research to figure out how to best prepare patients for certain types of surgical procedures.
• A business may hire an applied psychologist to assess how to design a workplace console to maximize efficiency and productivity while minimizing worker fatigue and error.
• An organization may hire an applied researcher to determine how to select employees that are best suited for certain positions within the company.

Applied research is an important tool in the process of understanding the human mind and behavior. Thanks to much of this research, psychologists are able to investigate problems that affect people's daily lives. This kind of research specifically targets real-world issues, however it also contributes to knowledge about how people think and behave.

National Science Foundation. Definitions of research and development: An annotated compilation of official sources .

CDC. Evaluation briefs .

Helmchen H. Ethical issues in naturalistic versus controlled trials .  Dialogues Clin Neurosci . 2011;13(2):173‐182.

Truijens FL, Cornelis S, Desmet M, De Smet MM, Meganck R. Validity beyond measurement: Why psychometric validity is insufficient for valid psychotherapy research .  Front Psychol . 2019;10:532. doi:10.3389/fpsyg.2019.00532

 McBride D.  The Process Of Research In Psychology . SAGE Publications; 2018.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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A research problem is a definite or clear expression [statement] about an area of concern, a condition to be improved upon, a difficulty to be eliminated, or a troubling question that exists in scholarly literature, in theory, or within existing practice that points to a need for meaningful understanding and deliberate investigation. A research problem does not state how to do something, offer a vague or broad proposition, or present a value question. In the social and behavioral sciences, studies are most often framed around examining a problem that needs to be understood and resolved in order to improve society and the human condition.

Bryman, Alan. “The Research Question in Social Research: What is its Role?” International Journal of Social Research Methodology 10 (2007): 5-20; Guba, Egon G., and Yvonna S. Lincoln. “Competing Paradigms in Qualitative Research.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, editors. (Thousand Oaks, CA: Sage, 1994), pp. 105-117; Pardede, Parlindungan. “Identifying and Formulating the Research Problem." Research in ELT: Module 4 (October 2018): 1-13; Li, Yanmei, and Sumei Zhang. "Identifying the Research Problem." In Applied Research Methods in Urban and Regional Planning . (Cham, Switzerland: Springer International Publishing, 2022), pp. 13-21.

Importance of...

The purpose of a problem statement is to:

• Introduce the reader to the importance of the topic being studied . The reader is oriented to the significance of the study.
• Anchors the research questions, hypotheses, or assumptions to follow . It offers a concise statement about the purpose of your paper.
• Place the topic into a particular context that defines the parameters of what is to be investigated.
• Provide the framework for reporting the results and indicates what is probably necessary to conduct the study and explain how the findings will present this information.

In the social sciences, the research problem establishes the means by which you must answer the "So What?" question. This declarative question refers to a research problem surviving the relevancy test [the quality of a measurement procedure that provides repeatability and accuracy]. Note that answering the "So What?" question requires a commitment on your part to not only show that you have reviewed the literature, but that you have thoroughly considered the significance of the research problem and its implications applied to creating new knowledge and understanding or informing practice.

To survive the "So What" question, problem statements should possess the following attributes:

• Clarity and precision [a well-written statement does not make sweeping generalizations and irresponsible pronouncements; it also does include unspecific determinates like "very" or "giant"],
• Demonstrate a researchable topic or issue [i.e., feasibility of conducting the study is based upon access to information that can be effectively acquired, gathered, interpreted, synthesized, and understood],
• Identification of what would be studied, while avoiding the use of value-laden words and terms,
• Identification of an overarching question or small set of questions accompanied by key factors or variables,
• Identification of key concepts and terms,
• Articulation of the study's conceptual boundaries or parameters or limitations,
• Some generalizability in regards to applicability and bringing results into general use,
• Conveyance of the study's importance, benefits, and justification [i.e., regardless of the type of research, it is important to demonstrate that the research is not trivial],
• Does not have unnecessary jargon or overly complex sentence constructions; and,
• Conveyance of more than the mere gathering of descriptive data providing only a snapshot of the issue or phenomenon under investigation.

Bryman, Alan. “The Research Question in Social Research: What is its Role?” International Journal of Social Research Methodology 10 (2007): 5-20; Brown, Perry J., Allen Dyer, and Ross S. Whaley. "Recreation Research—So What?" Journal of Leisure Research 5 (1973): 16-24; Castellanos, Susie. Critical Writing and Thinking. The Writing Center. Dean of the College. Brown University; Ellis, Timothy J. and Yair Levy Nova. "Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem." Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); Thesis and Purpose Statements. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements. The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements. The Writing Lab and The OWL. Purdue University; Selwyn, Neil. "‘So What?’…A Question that Every Journal Article Needs to Answer." Learning, Media, and Technology 39 (2014): 1-5; Shoket, Mohd. "Research Problem: Identification and Formulation." International Journal of Research 1 (May 2014): 512-518.

Structure and Writing Style

I.  Types and Content

There are four general conceptualizations of a research problem in the social sciences:

• Casuist Research Problem -- this type of problem relates to the determination of right and wrong in questions of conduct or conscience by analyzing moral dilemmas through the application of general rules and the careful distinction of special cases.
• Difference Research Problem -- typically asks the question, “Is there a difference between two or more groups or treatments?” This type of problem statement is used when the researcher compares or contrasts two or more phenomena. This a common approach to defining a problem in the clinical social sciences or behavioral sciences.
• Descriptive Research Problem -- typically asks the question, "what is...?" with the underlying purpose to describe the significance of a situation, state, or existence of a specific phenomenon. This problem is often associated with revealing hidden or understudied issues.
• Relational Research Problem -- suggests a relationship of some sort between two or more variables to be investigated. The underlying purpose is to investigate specific qualities or characteristics that may be connected in some way.

A problem statement in the social sciences should contain :

• A lead-in that helps ensure the reader will maintain interest over the study,
• A declaration of originality [e.g., mentioning a knowledge void or a lack of clarity about a topic that will be revealed in the literature review of prior research],
• An indication of the central focus of the study [establishing the boundaries of analysis], and
• An explanation of the study's significance or the benefits to be derived from investigating the research problem.

NOTE :   A statement describing the research problem of your paper should not be viewed as a thesis statement that you may be familiar with from high school. Given the content listed above, a description of the research problem is usually a short paragraph in length.

II.  Sources of Problems for Investigation

The identification of a problem to study can be challenging, not because there's a lack of issues that could be investigated, but due to the challenge of formulating an academically relevant and researchable problem which is unique and does not simply duplicate the work of others. To facilitate how you might select a problem from which to build a research study, consider these sources of inspiration:

Deductions from Theory This relates to deductions made from social philosophy or generalizations embodied in life and in society that the researcher is familiar with. These deductions from human behavior are then placed within an empirical frame of reference through research. From a theory, the researcher can formulate a research problem or hypothesis stating the expected findings in certain empirical situations. The research asks the question: “What relationship between variables will be observed if theory aptly summarizes the state of affairs?” One can then design and carry out a systematic investigation to assess whether empirical data confirm or reject the hypothesis, and hence, the theory.

Interdisciplinary Perspectives Identifying a problem that forms the basis for a research study can come from academic movements and scholarship originating in disciplines outside of your primary area of study. This can be an intellectually stimulating exercise. A review of pertinent literature should include examining research from related disciplines that can reveal new avenues of exploration and analysis. An interdisciplinary approach to selecting a research problem offers an opportunity to construct a more comprehensive understanding of a very complex issue that any single discipline may be able to provide.

Interviewing Practitioners The identification of research problems about particular topics can arise from formal interviews or informal discussions with practitioners who provide insight into new directions for future research and how to make research findings more relevant to practice. Discussions with experts in the field, such as, teachers, social workers, health care providers, lawyers, business leaders, etc., offers the chance to identify practical, “real world” problems that may be understudied or ignored within academic circles. This approach also provides some practical knowledge which may help in the process of designing and conducting your study.

Personal Experience Don't undervalue your everyday experiences or encounters as worthwhile problems for investigation. Think critically about your own experiences and/or frustrations with an issue facing society or related to your community, your neighborhood, your family, or your personal life. This can be derived, for example, from deliberate observations of certain relationships for which there is no clear explanation or witnessing an event that appears harmful to a person or group or that is out of the ordinary.

Relevant Literature The selection of a research problem can be derived from a thorough review of pertinent research associated with your overall area of interest. This may reveal where gaps exist in understanding a topic or where an issue has been understudied. Research may be conducted to: 1) fill such gaps in knowledge; 2) evaluate if the methodologies employed in prior studies can be adapted to solve other problems; or, 3) determine if a similar study could be conducted in a different subject area or applied in a different context or to different study sample [i.e., different setting or different group of people]. Also, authors frequently conclude their studies by noting implications for further research; read the conclusion of pertinent studies because statements about further research can be a valuable source for identifying new problems to investigate. The fact that a researcher has identified a topic worthy of further exploration validates the fact it is worth pursuing.

III.  What Makes a Good Research Statement?

A good problem statement begins by introducing the broad area in which your research is centered, gradually leading the reader to the more specific issues you are investigating. The statement need not be lengthy, but a good research problem should incorporate the following features:

1.  Compelling Topic The problem chosen should be one that motivates you to address it but simple curiosity is not a good enough reason to pursue a research study because this does not indicate significance. The problem that you choose to explore must be important to you, but it must also be viewed as important by your readers and to a the larger academic and/or social community that could be impacted by the results of your study. 2.  Supports Multiple Perspectives The problem must be phrased in a way that avoids dichotomies and instead supports the generation and exploration of multiple perspectives. A general rule of thumb in the social sciences is that a good research problem is one that would generate a variety of viewpoints from a composite audience made up of reasonable people. 3.  Researchability This isn't a real word but it represents an important aspect of creating a good research statement. It seems a bit obvious, but you don't want to find yourself in the midst of investigating a complex research project and realize that you don't have enough prior research to draw from for your analysis. There's nothing inherently wrong with original research, but you must choose research problems that can be supported, in some way, by the resources available to you. If you are not sure if something is researchable, don't assume that it isn't if you don't find information right away--seek help from a librarian !

NOTE:   Do not confuse a research problem with a research topic. A topic is something to read and obtain information about, whereas a problem is something to be solved or framed as a question raised for inquiry, consideration, or solution, or explained as a source of perplexity, distress, or vexation. In short, a research topic is something to be understood; a research problem is something that needs to be investigated.

IV.  Asking Analytical Questions about the Research Problem

Research problems in the social and behavioral sciences are often analyzed around critical questions that must be investigated. These questions can be explicitly listed in the introduction [i.e., "This study addresses three research questions about women's psychological recovery from domestic abuse in multi-generational home settings..."], or, the questions are implied in the text as specific areas of study related to the research problem. Explicitly listing your research questions at the end of your introduction can help in designing a clear roadmap of what you plan to address in your study, whereas, implicitly integrating them into the text of the introduction allows you to create a more compelling narrative around the key issues under investigation. Either approach is appropriate.

The number of questions you attempt to address should be based on the complexity of the problem you are investigating and what areas of inquiry you find most critical to study. Practical considerations, such as, the length of the paper you are writing or the availability of resources to analyze the issue can also factor in how many questions to ask. In general, however, there should be no more than four research questions underpinning a single research problem.

Given this, well-developed analytical questions can focus on any of the following:

• Highlights a genuine dilemma, area of ambiguity, or point of confusion about a topic open to interpretation by your readers;
• Yields an answer that is unexpected and not obvious rather than inevitable and self-evident;
• Provokes meaningful thought or discussion;
• Raises the visibility of the key ideas or concepts that may be understudied or hidden;
• Suggests the need for complex analysis or argument rather than a basic description or summary; and,
• Offers a specific path of inquiry that avoids eliciting generalizations about the problem.

NOTE:   Questions of how and why concerning a research problem often require more analysis than questions about who, what, where, and when. You should still ask yourself these latter questions, however. Thinking introspectively about the who, what, where, and when of a research problem can help ensure that you have thoroughly considered all aspects of the problem under investigation and helps define the scope of the study in relation to the problem.

V.  Mistakes to Avoid

Beware of circular reasoning! Do not state the research problem as simply the absence of the thing you are suggesting. For example, if you propose the following, "The problem in this community is that there is no hospital," this only leads to a research problem where:

• The need is for a hospital
• The objective is to create a hospital
• The method is to plan for building a hospital, and
• The evaluation is to measure if there is a hospital or not.

This is an example of a research problem that fails the "So What?" test . In this example, the problem does not reveal the relevance of why you are investigating the fact there is no hospital in the community [e.g., perhaps there's a hospital in the community ten miles away]; it does not elucidate the significance of why one should study the fact there is no hospital in the community [e.g., that hospital in the community ten miles away has no emergency room]; the research problem does not offer an intellectual pathway towards adding new knowledge or clarifying prior knowledge [e.g., the county in which there is no hospital already conducted a study about the need for a hospital, but it was conducted ten years ago]; and, the problem does not offer meaningful outcomes that lead to recommendations that can be generalized for other situations or that could suggest areas for further research [e.g., the challenges of building a new hospital serves as a case study for other communities].

Alvesson, Mats and Jörgen Sandberg. “Generating Research Questions Through Problematization.” Academy of Management Review 36 (April 2011): 247-271 ; Choosing and Refining Topics. Writing@CSU. Colorado State University; D'Souza, Victor S. "Use of Induction and Deduction in Research in Social Sciences: An Illustration." Journal of the Indian Law Institute 24 (1982): 655-661; Ellis, Timothy J. and Yair Levy Nova. "Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem." Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); How to Write a Research Question. The Writing Center. George Mason University; Invention: Developing a Thesis Statement. The Reading/Writing Center. Hunter College; Problem Statements PowerPoint Presentation. The Writing Lab and The OWL. Purdue University; Procter, Margaret. Using Thesis Statements. University College Writing Centre. University of Toronto; Shoket, Mohd. "Research Problem: Identification and Formulation." International Journal of Research 1 (May 2014): 512-518; Trochim, William M.K. Problem Formulation. Research Methods Knowledge Base. 2006; Thesis and Purpose Statements. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements. The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements. The Writing Lab and The OWL. Purdue University; Pardede, Parlindungan. “Identifying and Formulating the Research Problem." Research in ELT: Module 4 (October 2018): 1-13; Walk, Kerry. Asking an Analytical Question. [Class handout or worksheet]. Princeton University; White, Patrick. Developing Research Questions: A Guide for Social Scientists . New York: Palgrave McMillan, 2009; Li, Yanmei, and Sumei Zhang. "Identifying the Research Problem." In Applied Research Methods in Urban and Regional Planning . (Cham, Switzerland: Springer International Publishing, 2022), pp. 13-21.

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Research Problem – Definition, Steps & Tips

Published by Jamie Walker at August 12th, 2021 , Revised On October 3, 2023

Once you have chosen a research topic, the next stage is to explain the research problem: the detailed issue, ambiguity of the research, gap analysis, or gaps in knowledge and findings that you will discuss.

Here, in this article, we explore a research problem in a dissertation or an essay with some research problem examples to help you better understand how and when you should write a research problem.

“A research problem is a specific statement relating to an area of concern and is contingent on the type of research. Some research studies focus on theoretical and practical problems, while some focus on only one.”

The problem statement in the dissertation, essay, research paper, and other academic papers should be clearly stated and intended to expand information, knowledge, and contribution to change.

This article will assist in identifying and elaborating a research problem if you are unsure how to define your research problem. The most notable challenge in the research process is to formulate and identify a research problem. Formulating a problem statement and research questions while finalizing the research proposal or introduction for your dissertation or thesis is necessary.

Why is Research Problem Critical?

An interesting research topic is only the first step. The real challenge of the research process is to develop a well-rounded research problem.

A well-formulated research problem helps understand the research procedure; without it, your research will appear unforeseeable and awkward.

Research is a procedure based on a sequence and a research problem aids in following and completing the research in a sequence. Repetition of existing literature is something that should be avoided in research.

Therefore research problem in a dissertation or an essay needs to be well thought out and presented with a clear purpose. Hence, your research work contributes more value to existing knowledge. You need to be well aware of the problem so you can present logical solutions.

Formulating a research problem is the first step of conducting research, whether you are writing an essay, research paper,   dissertation , or  research proposal .

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Step 1: Identifying Problem Area – What is Research Problem

The most significant step in any research is to look for  unexplored areas, topics, and controversies . You aim to find gaps that your work will fill. Here are some research problem examples for you to better understand the concept.

Practical Research Problems

To conduct practical research, you will need practical research problems that are typically identified by analysing reports, previous research studies, and interactions with the experienced personals of pertinent disciplines. You might search for:

• Problems with performance or competence in an organization
• Institutional practices that could be enhanced
• Practitioners of relevant fields and their areas of concern
• Problems confronted by specific groups of people within your area of study

If your research work relates to an internship or a job, then it will be critical for you to identify a research problem that addresses certain issues faced by the firm the job or internship pertains to.

Examples of Practical Research Problems

Decreased voter participation in county A, as compared to the rest of the country.

The high employee turnover rate of department X of company Y influenced efficiency and team performance.

A charity institution, Y, suffers a lack of funding resulting in budget cuts for its programmes.

Theoretical Research Problems

Theoretical research relates to predicting, explaining, and understanding various phenomena. It also expands and challenges existing information and knowledge.

Identification of a research problem in theoretical research is achieved by analysing theories and fresh research literature relating to a broad area of research. This practice helps to find gaps in the research done by others and endorse the argument of your topic.

Here are some questions that you should bear in mind.

• A case or framework that has not been deeply analysed
• An ambiguity between more than one viewpoints
• An unstudied condition or relationships
• A problematic issue that needs to be addressed

Theoretical issues often contain practical implications, but immediate issues are often not resolved by these results. If that is the case, you might want to adopt a different research approach  to achieve the desired outcomes.

Examples of Theoretical Research Problems

Long-term Vitamin D deficiency affects cardiac patients are not well researched.

The relationship between races, sex, and income imbalances needs to be studied with reference to the economy of a specific country or region.

The disagreement among historians of Scottish nationalism regarding the contributions of Imperial Britain in the creation of the national identity for Scotland.

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Step 2: Understanding the Research Problem

The researcher further investigates the selected area of research to find knowledge and information relating to the research problem to address the findings in the research.

Background and Rationale

• Population influenced by the problem?
• Is it a persistent problem, or is it recently revealed?
• Research that has already been conducted on this problem?
• Any proposed solution to the problem?
• Recent arguments concerning the problem, what are the gaps in the problem?

How to Write a First Class Dissertation Proposal or Research Proposal

Particularity and Suitability

• What specific place, time, and/or people will be focused on?
• Any aspects of research that you may not be able to deal with?
• What will be the concerns if the problem remains unresolved?
• What are the benefices of the problem resolution (e.g. future researcher or organisation’s management)?

Example of a Specific Research Problem

A non-profit institution X has been examined on their existing support base retention, but the existing research does not incorporate an understanding of how to effectively target new donors. To continue their work, the institution needs more research and find strategies for effective fundraising.

Once the problem is narrowed down, the next stage is to propose a problem statement and hypothesis or research questions.

If you are unsure about what a research problem is and how to define the research problem, then you might want to take advantage of our dissertation proposal writing service. You may also want to take a look at our essay writing service if you need help with identifying a research problem for your essay.

Frequently Asked Questions

What is research problem with example.

A research problem is a specific challenge that requires investigation. Example: “What is the impact of social media on mental health among adolescents?” This problem drives research to analyse the relationship between social media use and mental well-being in young people.

How many types of research problems do we have?

• Descriptive: Describing phenomena as they exist.
• Explanatory: Understanding causes and effects.
• Exploratory: Investigating little-understood phenomena.
• Predictive: Forecasting future outcomes.
• Prescriptive: Recommending actions.
• Normative: Describing what ought to be.

What are the principles of the research problem?

• Relevance: Addresses a significant issue.
• Re searchability: Amenable to empirical investigation.
• Clarity: Clearly defined without ambiguity.
• Specificity: Narrowly framed, avoiding vagueness.
• Feasibility: Realistic to conduct with available resources.
• Novelty: Offers new insights or challenges existing knowledge.
• Ethical considerations: Respect rights, dignity, and safety.

Why is research problem important?

A research problem is crucial because it identifies knowledge gaps, directs the inquiry’s focus, and forms the foundation for generating hypotheses or questions. It drives the methodology and determination of study relevance, ensuring that research contributes meaningfully to academic discourse and potentially addresses real-world challenges.

How do you write a research problem?

To write a research problem, identify a knowledge gap or an unresolved issue in your field. Start with a broad topic, then narrow it down. Clearly articulate the problem in a concise statement, ensuring it’s researchable, significant, and relevant. Ground it in the existing literature to highlight its importance and context.

How can we solve research problem?

To solve a research problem, start by conducting a thorough literature review. Formulate hypotheses or research questions. Choose an appropriate research methodology. Collect and analyse data systematically. Interpret findings in the context of existing knowledge. Ensure validity and reliability, and discuss implications, limitations, and potential future research directions.

You May Also Like

Find how to write research questions with the mentioned steps required for a perfect research question. Choose an interesting topic and begin your research.

Repository of ten perfect research question examples will provide you a better perspective about how to create research questions.

How to write a hypothesis for dissertation,? A hypothesis is a statement that can be tested with the help of experimental or theoretical research.

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Generating knowledge is one of the most exciting aspects of being human. The inventiveness required to apply this knowledge to solve practical problems is perhaps our most distinctive attribute.

But right now we have before us some hairy challenges – whether that be figuring our how to save our coral reefs from warmer water , landing a human on Mars , eliminating the gap in life expectancy between the “haves” and “have-nots” or delivering reliable carbon-free energy .

It’s commonly said that an interdisciplinary approach is vital if we are to tackle such real world challenges. But what does this really mean?

Read more: It takes a community to raise a startup

Listen and read with care and you’ll start to notice that the words crossdisciplinary, multidisciplinary, interdisciplinary and transdisciplinary are used interchangeably. These words describe distinctly different ways of harnessing the power of disciplinary expertise to chart a course into the unknown.

In navigation, the tools and methods matter – choose differently and you’ll end up in a different spot. How we go about creating knowledge and solving problems really matters – it changes not only what questions can be asked and answered but fundamentally shapes what’s possible.

What is a discipline?

For centuries we have organised research within disciplines, and this has delivered extraordinary depths of knowledge.

But what is a discipline? It’s a shared language, an environment in which there’s no need to explain the motivation for one’s work, and in which people have a shared sense of what’s valuable.

For example, my background discipline is optical physics. I know what it’s like to be able to skip down the corridor and say,

“I’ve figured out how we can get broadband flat dispersion - we just need to tailor the radial profile!”

…and have people instantly not just know what I mean, but be able to add their own ideas and drive the work forward.

In long-established disciplines it’s often necessary to focus in a narrow area to be able to extend the limits of knowledge within the time-frame of a PhD. And while it’s rarely obvious at the time what benefits will flow from digging a little deeper, our way of life has been transformed over and over as result.

Disciplines focus talent and so can be amazingly efficient ways of generating knowledge. But they can also be extraordinarily difficult to penetrate from the outside without understanding that discipline’s particular language and shared values.

The current emphasis on real-world impact has sharpened awareness on the need to translate knowledge into outcomes. It has also brought attention to the critical role partnerships with industry and other end-users of research play in this process.

Creating impact across disciplines

Try to solve a problem with the tools of a single discipline alone, and it’s as if you have a hammer - everything starts to look like a nail. It’s usually obvious when expertise from more than one discipline is needed.

Consider a panel of experts drawn from different fields to each apply the tools of their field to a problem that’s been externally framed. This has traditionally been how expertise from the social sciences is brought to bear on challenges in public health or the environment.

This is a crossdisciplinary approach , which can produce powerful outcomes provided that those who posed the question are positioned to make decisions based on the knowledge generated. But the research fields themselves are rarely influenced by this glancing encounter with different approaches to knowledge generation.

Multidisciplinary research involves the application of tools from one discipline to questions from other fields. An example is the application of crystallography, discovered by the Braggs, to unravel the structure of proteins . This requires concepts to transfer across domains, sometimes in real time but usually with a lag of years or decades.

Read more: If we really want an ideas boom, we need more women at the top tiers of science

Interdisciplinary research happens when researchers from different fields come together to pose a challenge that wouldn’t be possible in isolation. One example is the highly transparent optical fibres that underpin intercontinental telecommunication networks.

The knowledge creation that made this possible involved glass chemists, optical physicists and communication engineers coming together to articulate the possible, and develop the shared language required to make it a reality. When fields go on this journey together over decades, new fields are born.

In this example the question itself was clear – how can we harness the transparency of silica glass to create optical transmission systems that can transport large volumes of data over long distances?

But what about the questions we don’t know how to pose because without knowledge of another field we don’t know what’s possible? This line of reasoning leads us into the domain of transdisciplinary research .

Transdisciplinary research requires a willingness to craft new questions – whether because they were considered intractable or because without the inspiration from left field they simply didn’t arise. An example of this is applying photonics to IVF incubators - the idea that it could be possible to “listen” to how embryos experience their environment is unlikely to have arisen without bringing these fields together.

Read more: National Science Statement a positive gesture but lacks policy solutions: experts

In my own field, physics, I discovered that when talking to people from other areas the simple question “what would you like to measure?” quickly led to uncharted territory.

Before long we were usually, together, posing fundamentally new questions and establishing teams to tackle them. This can be scary territory but it’s tremendously rewarding and creates space for creativity and the emergence of disruptive technologies.

Excellence, communication, co-location, funding

One of the best ways of getting out of a disciplinary silo is to take every opportunity to talk to others outside your field. Disciplinary excellence is the starting point to get to the table.

And while disciplinary collaborations can flourish over large distances because they share a language and values, it’s usually true that once you mix disciplines co-location becomes a real asset. Then of course there are the questions of how we fund and organise research concentrations to allow inter- and transdisciplinary research to flourish.

With the increased emphasis on impact, these questions are becoming ever more pressing. Organisations that get this right will thrive.

• Research impact
• cross-disciplinary

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Applied Research Examples: Empowering Real-World Solutions

Understand the meaning of ‘ibid’ and its usage in academic and legal writing. Explore citation practices and raise your referencing skills.

Applied research plays a crucial role in various fields, providing practical solutions to real-world problems and driving advancements in technology, healthcare, business, and more. It bridges the gap between theory and practice by translating scientific knowledge into tangible outcomes that positively impact individuals, organizations, communities, or industries. Applied research enables us to develop innovative solutions, refine existing practices, and make informed decisions based on evidence. By focusing on practical applications, applied research contributes to advancements in various fields, ultimately leading to societal progress and improvement. It serves as a driving force for innovation, economic growth, and the overall betterment of individuals and communities. 

What is Applied Research and its purposes?

Applied research is a systematic and practical approach to investigating real-world problems and finding practical solutions. It makes application of scientific methods and techniques to gather and analyze data, conduct experiments, and make evidence-based recommendations. The primary purpose of applied research is to address specific issues or challenges in various fields. It aims to make better-existing practices, processes, or products, validate the effectiveness of interventions or programs, inform policy decisions, and contribute to the development and implementation of evidence-based strategies. 

When using Applied Research

Some common applications of applied research include:

Business and Marketing

Through the utilization of applied research, organizations can gain valuable insights into consumer behavior, evaluate marketing strategies, assess market trends, and identify opportunities for product development and innovation.

Healthcare and Medicine

Applied research is conducted to evaluate the effectiveness of medical treatments, interventions, and healthcare policies. It helps in the advancement of patient outcomes, optimizes healthcare delivery systems, and informs evidence-based medical practices.

In education, applied research informs curriculum development, evaluates program effectiveness, guides evidence-based instruction, informs policy decisions, supports professional development, and optimizes student assessment and evaluation.

Public Policy and Governance

Policymakers can leverage data-driven insights to inform decision-making, evaluate program effectiveness, and enhance governance practices. This approach fosters evidence-based policymaking, promotes transparency, and facilitates effective and equitable governance.

Environmental Studies

Applied research is used to address environmental challenges, such as climate change, pollution, and natural resource management. It helps develop sustainable practices, assess the environmental impact of policies and projects, and guide conservation efforts.

Technology and Engineering

Optimizing efficiency and advancing technology, applied research in technological and engineering fields develops and upgrades products, systems, and processes, addressing practical problems with innovative solutions.

Agriculture and Food Science

Applied research is conducted to raise agricultural practices and crop yields, ensure food safety, and develop sustainable farming methods. It addresses challenges related to food production, distribution, and environmental impact.

Types of Applied Research

Applied research includes various types tailored to address specific practical issues and inform decision-making. Some common types of applied research are:

Evaluation Research

This type of research focuses on assessing the effectiveness, efficiency, and impact of programs, interventions, policies, or initiatives. It measures outcomes, identifies strengths and weaknesses, and provides recommendations for improvement.

Action Research

Action research involves collaborative inquiry and problem-solving in real-world settings. It emphasizes the active participation of stakeholders to identify and address practical challenges, often leading to immediate changes or interventions.

Research and Development

R&D is a type of applied research with the objective to create innovative products and services to meet market needs. It requires gathering market information, improving existing products, and developing new ones to fulfill customer demands and enhance organizational effectiveness.

Policy Research

Generating evidence-based recommendations for policymakers, policy research plays a crucial role in informing policy development, implementation, and evaluation. By analyzing existing policies and identifying areas for improvement, it aims to shape effective and informed decision-making processes.

Data Collection Methods

Data collection methods refer to the techniques and approaches used to gather information or data for research purposes. These methods vary depending on the nature of the research question, the type of data needed, and the resources available. Here are some common data collection methods:

This collects data through structured questionnaires or interviews. They can be administered in person, over the phone, through mail, or online. Surveys are useful for gathering information from a large number of participants and obtaining self-reported data on attitudes, opinions, behaviors, or demographics.

Interviews conduct one-on-one or group conversations with participants to gather detailed information. Interviews can be structured (with predetermined questions), semi-structured (with a set of guiding questions), or unstructured (allowing for open-ended discussion). Interviews are useful for exploring complex topics, capturing in-depth insights, and understanding participants’ perspectives.

Observations

The method of observation watches and records behaviors, actions, or events in their natural settings. Researchers can be participant observers (actively participating in the observed context) or non-participant observers (observing from a distance). Observations are valuable for studying social interactions, behaviors, and patterns in real-life contexts.

Experiments

Experiments manipulate variables under controlled conditions to determine cause-and-effect relationships. Participants are assigned to different experimental conditions, and data is collected to assess the impact of the manipulated variables. Experiments allow researchers to study causal relationships and test hypotheses.

Data Analysis Methods

Data analysis methods are the techniques and procedures used to analyze and interpret data collected during a research study. These methods help researchers make sense of the data, identify patterns, draw conclusions, and answer research questions. Data analysis plays a crucial role in research as it transforms raw data into meaningful insights and supports evidence-based decision-making. Some common data analysis methods are:

Descriptive Statistics

Descriptive statistics summarize and describe the main characteristics of the data. They include measures such as mean, median, mode, standard deviation, and frequency distributions. Descriptive statistics provide a snapshot of the data’s central tendency, dispersion, and distribution.

Inferential Statistics

Inferential statistics make inferences or draw conclusions about a population based on a sample. These methods help researchers test hypotheses, determine statistical significance, and make generalizations. Examples of inferential statistics include t-tests, analysis of variance (ANOVA), regression analysis, and chi-square tests.

Data Mining

Data mining uses computational algorithms to discover patterns, trends, and relationships within large datasets. It helps identify hidden insights and generate predictive models. Data mining techniques include association rule mining, classification, clustering, and anomaly detection.

Applied Research Methodology

Applied research methodology refers to the systematic approach used to conduct applied research studies. It is a series of steps and procedures designed to gather relevant data, analyze it, and draw meaningful conclusions to address real-world problems or provide practical solutions. The methodology for applied research typically includes the following key components:

Problem Identification

Clearly defining and understanding the specific problem or issue to be addressed is the first step in applied research methodology. Conducting a thorough literature review, consulting with experts, and engaging stakeholders are essential steps to gain insights into the problem’s context, scope, and potential impact.

Research Design

Developing a research design involves determining the appropriate research approach, such as quantitative, qualitative, or mixed methods, based on the research objectives and the nature of the problem. It also includes selecting the appropriate data collection methods, sampling techniques, and data analysis procedures.

Data Collection

Data collection methods are chosen based on the research design and the type of data required. Common data collection methods include surveys, interviews, observations, experiments, case studies, and document analysis. Rigorous data collection techniques ensure the collection of accurate and reliable data relevant to the research problem.

Data Analysis

Data analysis is about processing, organizing, and interpreting the collected data to derive meaningful insights. Depending on the nature of the data, quantitative analysis techniques such as statistical analysis, regression analysis, or data mining may be used. Qualitative analysis techniques, such as thematic analysis or content analysis, can be employed for textual or qualitative data.

Results and Conclusion

The analyzed data is used to draw conclusions, identify patterns, and make inferences related to the research problem. The results are presented in a clear and concise manner, often through tables, charts, or visualizations. Conclusions should be supported by evidence from the data analysis and aligned with the research objectives.

Examples of Applied Research

The applied research examples illustrate how this addresses real-world issues and aims to provide practical solutions that can be implemented and make a meaningful impact in various domains. Here are some applied research examples across different fields:

In healthcare, the focus is finding practical solutions to improve patient care and outcomes. For example, a study investigating the effectiveness of a new medical treatment or therapy for a specific condition would be considered applied research.

The primary objective is to increase teaching methods, curriculum development, and student learning outcomes. This involves evaluating the effectiveness of various instructional approaches and designing interventions to foster improved student engagement and achievement.

In the domain of business and marketing, the emphasis is on tackling practical issues encountered by organizations. This can include analyzing consumer behavior to devise impactful marketing strategies or conducting market research to evaluate the viability of introducing a new product. Such endeavors align with the principles of applied research.

Environmental Science

The objective is to devise practical solutions for addressing environmental challenges. This can encompass studying the effects of pollution on ecosystems, formulating sustainable practices, or assessing the efficacy of conservation initiatives. These pursuits align with the principles of applied research.

Engineering and Technology

The emphasis of applied research on engineering and technology is to create inventive solutions for real-world problems. This could entail research endeavors aimed at enhancing energy efficiency, refining manufacturing techniques, or pioneering novel materials.

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Research Problem – Explanation & Examples

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A research problem sets the course of investigation in any research process . It can probe practical issues with the aim of suggesting modifications, or scrutinize theoretical quandaries to augment the current understanding in a discipline.

In this article, we delve into the crucial role of a research problem in the research process, as well as offer guidance on how to properly articulate it to steer your research endeavors.

Inhaltsverzeichnis

• 1 Research Problem – In a Nutshell
• 2 Definition: Research problem
• 3 Why is the research problem important?
• 4 Step 1: Finding a general research problem area
• 5 Step 2: Narrowing down the research problem
• 6 Example of a research problem

Research Problem – In a Nutshell

• A research problem is an issue that raises concern about a particular topic.
• Researchers formulate research problems by examining other literature on the topic and assessing the significance and relevance of the problem.
• Creating a research problem involves an overview of a broad problem area and then narrowing it down to the specifics by creating a framework for the topic.
• General problem areas used in formulating research problems include workplace and theoretical research.

Definition: Research problem

A research problem is a specific challenge or knowledge gap that sets the foundation for research. It is the primary statement about a topic in a field of study, and the findings from a research undertaking provide solutions to the research problem.

The research problem is the defining statement that informs the sources and methodologies to be applied to find and recommend proposals for the area of contention.

Why is the research problem important?

Research should adopt a precise approach for analysis to be relevant and applicable in a real-world context. Researchers can pick any area of study, and in most cases, the topic in question will have a broad scope; a well-formulated problem forms the basis of a strong research paper which illustrates a clear focus.

Writing a research problem is the first step in planning for a research paper, and a well-structured problem prevents a runaway project that lacks a clear direction.

Step 1: Finding a general research problem area

Your primary goal should be to find gaps and meaningful ways your research project offers a solution to a problem or broadens the knowledge bank in the field.

A good approach is to read and hold discussions about the topic , identify areas with insufficient information, highlight areas of contention and form more in-depth conclusions in under-researched areas.

Workplace research

You can carry out workplace research using a practical approach . This aims to identify a problem by analyzing reports, engaging with people in the organization or field of interest, and examining previous research. Some pointers include:

• Efficiency and performance-related issues within an organization.
• Areas or processes that can be improved in the organization.
• Matters of concern among professionals in the field of study.
• Challenges faced by identifiable groups in society.
• Crime in a particular region has been decreasing compared to the rest of the country.
• Stores in one location of a chain have been reporting lower sales in contrast with others in other parts of the country.
• One subsidiary of a company is experiencing high staff turnover, affecting the group’s bottom line.

In theoretical research , researchers aim to offer new insights which contribute to the larger knowledge body in the field rather than proposing change. You can formulate a problem by studying recent studies, debates, and theories to identify gaps. Identifying a research problem in theoretical research may examine the following:

• A context or phenomenon that has not been extensively studied.
• A contrast between two or more thought patterns.
• A position that is not clearly understood.
• A bothersome scenario or question that remains unsolved.

Theoretical problems don’t focus on solving a practical problem but have practical implications in their field. Many theoretical frameworks offer a guide to other practical and applied research scenarios.

• The relationship between genetics and mental issues in adulthood is not clearly understood.
• The effects of racial differences in long-term relationships are yet to be investigated in the modern dating scene.
• Social scientists disagree on the impact of neocolonialism on the socio-economic conditions of black people.

Step 2: Narrowing down the research problem

After identifying a general problem area, you need to zero in on the specific aspect you want to analyze further in the context of your research.

The problem can be narrowed down using the following criteria to create a relevant problem whose solutions adequately answer the research questions . Some questions you can ask to understand the contextual framework of the research problem include:

Significance

Evaluating the significance of a research problem is a necessary step for identifying issues that contribute to the solution of an issue. There are several ways of determining the significance of a research problem. The following questions can help you to evaluate the significance and relevance of a proposed research problem:

• Which area, group or time do you plan to situate your study?
• What attributes will you examine?
• What is the repercussion of not solving the problem?
• Who stands to benefit if the problem is resolved?

Example of a research problem

A fashion retail chain is attempting to increase the number of visitors to its stores, but the management is unaware of the measures to achieve this.

To improve its sales and compete with other chains, the chain requires research into ways of increasing traffic in its stores.

By narrowing down the research problem, you can create the problem statement , hypothesis , and relevant research questions .

What is an example of a research problem?

There has been an upward trend in the immigration of professionals from other countries to the UK. Research is needed to determine the likely causes and effects.

How do you formulate a research problem?

Begin by examining available sources and previous research on your topic of interest. You can narrow down the scope from the literature or observable phenomenon and focus on under-researched areas.

How can you determine the significance of a research problem?

Investigate the specific aspects you would like to investigate. Furthermore, you can determine the consequences of the problem remaining unresolved and the biggest beneficiaries if a solution is found.

What is the context in a research problem?

Context refers to the nature of the problem. It entails studying existing work on the issue, who is affected by it, and the proposed solutions.

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• How to Define a Research Problem | Ideas & Examples

How to Define a Research Problem | Ideas & Examples

Published on 8 November 2022 by Shona McCombes and Tegan George.

A research problem is a specific issue or gap in existing knowledge that you aim to address in your research. You may choose to look for practical problems aimed at contributing to change, or theoretical problems aimed at expanding knowledge.

Some research will do both of these things, but usually the research problem focuses on one or the other. The type of research problem you choose depends on your broad topic of interest and the type of research you think will fit best.

This article helps you identify and refine a research problem. When writing your research proposal or introduction , formulate it as a problem statement and/or research questions .

Table of contents

Why is the research problem important, step 1: identify a broad problem area, step 2: learn more about the problem, frequently asked questions about research problems.

Having an interesting topic isn’t a strong enough basis for academic research. Without a well-defined research problem, you are likely to end up with an unfocused and unmanageable project.

You might end up repeating what other people have already said, trying to say too much, or doing research without a clear purpose and justification. You need a clear problem in order to do research that contributes new and relevant insights.

Whether you’re planning your thesis , starting a research paper , or writing a research proposal , the research problem is the first step towards knowing exactly what you’ll do and why.

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As you read about your topic, look for under-explored aspects or areas of concern, conflict, or controversy. Your goal is to find a gap that your research project can fill.

Practical research problems

If you are doing practical research, you can identify a problem by reading reports, following up on previous research, or talking to people who work in the relevant field or organisation. You might look for:

• Issues with performance or efficiency
• Processes that could be improved
• Areas of concern among practitioners
• Difficulties faced by specific groups of people

Examples of practical research problems

Voter turnout in New England has been decreasing, in contrast to the rest of the country.

The HR department of a local chain of restaurants has a high staff turnover rate.

A non-profit organisation faces a funding gap that means some of its programs will have to be cut.

Theoretical research problems

If you are doing theoretical research, you can identify a research problem by reading existing research, theory, and debates on your topic to find a gap in what is currently known about it. You might look for:

• A phenomenon or context that has not been closely studied
• A contradiction between two or more perspectives
• A situation or relationship that is not well understood
• A troubling question that has yet to be resolved

Examples of theoretical research problems

The effects of long-term Vitamin D deficiency on cardiovascular health are not well understood.

The relationship between gender, race, and income inequality has yet to be closely studied in the context of the millennial gig economy.

Historians of Scottish nationalism disagree about the role of the British Empire in the development of Scotland’s national identity.

Next, you have to find out what is already known about the problem, and pinpoint the exact aspect that your research will address.

Context and background

• Who does the problem affect?
• Is it a newly-discovered problem, or a well-established one?
• What research has already been done?
• What, if any, solutions have been proposed?
• What are the current debates about the problem? What is missing from these debates?

Specificity and relevance

• What particular place, time, and/or group of people will you focus on?
• What aspects will you not be able to tackle?
• What will the consequences be if the problem is not resolved?

Example of a specific research problem

A local non-profit organisation focused on alleviating food insecurity has always fundraised from its existing support base. It lacks understanding of how best to target potential new donors. To be able to continue its work, the organisation requires research into more effective fundraising strategies.

Once you have narrowed down your research problem, the next step is to formulate a problem statement , as well as your research questions or hypotheses .

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement.

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis – a prediction that will be confirmed or disproved by your research.

Research objectives describe what you intend your research project to accomplish.

They summarise the approach and purpose of the project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement .

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• Center for Community Engagement to advance Scholarship and Learning

Psychological Research Applied to Real-World Problems: Exploring Messaging Strategies for a Universal Basic Foods Program

By: heidi vuletich, assistant professor, department of psychology.

Metro Caring, located in Denver, is an organization committed to addressing food insecurity by providing nutritious food and support services to individuals and families in need. One of their objectives is to pilot a Universal Basic Foods Program that ensures consistent access to essential and culturally relevant food items for all members of the community.

Students in Social Psychology (PSYC 2740) partnered with Metro Caring to design and test messaging campaigns aimed at garnering support for this Universal Basic Foods Program. We worked collaboratively with Metro Caring to develop messages that varied along specific dimensions. Our project’s primary objective was to experimentally evaluate the impact these strategies had on people’s attitudes and their perceptions of the program.

Students collected data from approximately 600 online participants across two experiments. In one experiment, they tested the effects of different messaging content. Metro Caring was interested in knowing if drawing attention to the systemic issues that lead to food insecurity, rather than just describing food insecurity as an issue, would lead to different attitudes about the program. In the other experiment, students tested whether alternative program names would be perceived more positively than the original program name. Additionally, students analyzed attitude differences by participant socioeconomic status, race, and political affiliation.

Working collaboratively as co-authors—much like in real scientific collaborations—students drafted a 50+ page report with findings for Metro Caring. They highlighted the main results of the experiments (the messaging content did not impact people’s attitudes or perceptions about the program, but the program name did) and described in detail how attitudes differed by participant demographics. Our partners from Metro Caring will use the results to inform their campaign. The students gained experiential knowledge about the scientific process and how psychological research can inform real-world problems.

Here are some reflections from our students on their experiences:

"Presenting to our community partners and explaining the data made me proud of our class. We came together to help Metro Caring achieve their goals."

"This project opened my eyes to how unconscious influences shape attitudes, even towards important issues like public policy."

“Participating in this project enhanced my understanding of collaboration and co-authorship. It felt meaningful to contribute to something real."

"This project provided valuable insights into applied research and community engagement. It reinforced the importance of addressing social issues collaboratively."

Our community-engaged project is an example of a meaningful collaboration between students and a community partner. By applying social psychology principles to real-world challenges, we gained understanding of the potential for academic research to drive positive change in our community. We are grateful for our partnership with Metro Caring, all that we learned from them, and the opportunity to contribute to their mission of ending food insecurity.

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Home » Research Methodology – Types, Examples and writing Guide

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

• Provide an overview of the research problem and the need for a research methodology section
• Outline the main research questions and objectives

II. Research Design

• Explain the research design chosen and why it is appropriate for the research question(s) and objectives
• Discuss any alternative research designs considered and why they were not chosen
• Describe the research setting and participants (if applicable)

III. Data Collection Methods

• Describe the methods used to collect data (e.g., surveys, interviews, observations)
• Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

• Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
• Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or software used for data analysis

V. Ethical Considerations

• Discuss any ethical issues that may arise from the research and how they were addressed
• Explain how informed consent was obtained (if applicable)
• Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

• Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

• Summarize the key aspects of the research methodology section
• Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

• Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
• Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
• Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
• Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
• Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
• Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
• Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
• Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

• To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
• To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
• To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
• To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
• To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
• To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
• To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
• To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
• To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

• To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
• To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
• To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
• To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
• To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

• Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
• Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
• Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
• Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
• Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
• Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
• Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
• Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

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Muhammad Hassan

Researcher, Academic Writer, Web developer

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Research-to-Practice Highlight: Promoting Career-Readiness among Low-Income Students

May 1, 2024

by Jennifer Harvey, Joseph Kitchen , PhD, and PASS TEAM

Preparing low-income students for a successful career path is crucial, and career preparation is one of the key reasons why students pursue a post-secondary education. Research conducted as part of the PASS project identified several key approaches that facilitate the success of low-income students as they navigate their career path in college, highlighting the integral role of support from campus leadership, faculty, and practitioners. These key career development practices ranged from adopting asset-based, validating approaches to career support to comprehensive, ecological approaches to major and career development that are shown to increase student success .

While the PASS project identified several key approaches that successfully support career development, many low-income students face significant tensions as they navigate what it means to be a career professional — which is often rooted in middle- and upper-class, White, masculine behaviors, language, dress, and norms that do not always resonate with their own lived experiences and social class backgrounds. This inspired several PASS project researchers, including Rosemary Perez , Genia Bettencourt , Liane Hypolite , and Ronald Hallett , to explore the professional socialization process for low-income, working-class students who were engaged in career and professional preparation as part of a college support program.

They found that career and professional preparation often highlighted ways to stand out, compete with peers, and focus on a narrow, formulaic set of skills, behaviors, and dress – including how to eat in a professional setting, how to shake hands, what to avoid talking about in professional settings (e.g., race, religion, political affiliation), and strict, gendered expectations for formal wear in a professional setting (e.g., suit for men, dress for women) that were normative and not universally relevant to all professions. Several recommendations for practice were developed as a result of this research that highlighted asset- and equity-oriented ways to support low-income students as they navigated career and professional development.

Jennifer Harvey of the University of Nebraska Kearney described how this research shaped their low-income student support practices to promote a stronger asset-, strengths-, and equity-oriented approach to professional development. She and her staff: 

• Spent time reflecting on what they had been teaching and why they were teaching professionalism the way they were .  Many of the staff members were from first-generation and limited income backgrounds, so what they taught was based on what they had learned as students. While their intent was to help students prepare for professional careers, they realized that their approach to professionalism had a very narrow focus and, at times, was deficit-oriented and not inclusive. After reflection, staff stopped using the word “professionalism” and started utilizing the phrase “career ready” with students.
• Reviewed all presentations, documents, and assignments used to teach career-readiness with a focus on current trends and inclusivity , including the incorporation of student assets to enhance their approach in a way that recognized the multiple possible ways to exhibit professionalism.  One product was a career-ready attire document featuring “head to toe” images of program alumni from various professions displaying a wide array of workwear options. This was in an effort to recognize that there was not a universal professional dress code pertinent to all career fields (e.g., professional wear for a business person may look different from professional wear for a lab worker).
• Invited students to share their experiences and expertise as they grow in career readiness .  Students may have engaged in job shadowing, mentoring, or other professional development that has led them to their major. They may have role models from their home communities or extended families who are guiding or encouraging them in majors/career pathways. They bring assets and aspirational capital with them that we must recognize and value as educators.
• Incorporated authenticity into their work in multiple ways.  They made time to discuss “-isms” (classism, racism, ableism, sexism, etc.) that have long plagued workplace environments . Current events regarding “professionalism” were incorporated into their discussions so that students thought critically about performance versus their personal values in work settings.  They empowered students to think of majors and careers based on what career culture they want that allows for them to be their authentic selves.
• Provided scaffolding into career-ready experiences that allowed students of varied developmental levels to practice, reflect, and apply their learning . For instance, staff hosted a networking event with program alumni and colleagues so that students could practice using non-verbal skills, making introductions, sharing elevator speeches, and generating conversations with “student-centered” strangers.  Students had opportunities to reflect on that experience with staff and their peers and then applied their learning at a campus career fair. 
• Celebrated student growth and development intentionally .  Reflective practice with other students who validated one another’s strengths – as well as peer review of career ready materials, such as resumes, helped to highlight student effort over time. Their students were recognized at the end of the academic year at a community dinner with campus faculty and administrators, where they shared about their learning experiences, were “pinned” before introducing themselves by academic college, and then were split into groups with their academic deans to discuss experiential learning opportunities for the future.

Perez, R. J., Bettencourt, G. M., Hypolite, L. I., & Hallett, R. E. (2022). The tensions of teaching low-income students to perform professionalism.  Journal of 1 Diversity in Higher Education.   https://doi.org/10.1037 /dhe0000455

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Discrimination Experiences Shape Most Asian Americans’ Lives

3. asian americans and the ‘model minority’ stereotype, table of contents.

• Key findings from the survey
• Most Asian Americans have been treated as foreigners in some way, no matter where they were born
• Most Asian Americans have been subjected to ‘model minority’ stereotypes, but many haven’t heard of the term
• Experiences with other daily and race-based discrimination incidents
• In their own words: Key findings from qualitative research on Asian Americans and discrimination experiences
• Discrimination in interpersonal encounters with strangers
• Racial discrimination at security checkpoints
• Encounters with police because of race or ethnicity
• Racial discrimination in the workplace
• Quality of service in restaurants and stores
• Discrimination in neighborhoods
• Experiences with name mispronunciation
• Discrimination experiences of being treated as foreigners
• In their own words: How Asian Americans would react if their friend was told to ‘go back to their home country’
• Awareness of the term ‘model minority’
• Views of the term ‘model minority’
• How knowledge of Asian American history impacts awareness and views of the ‘model minority’ label
• Most Asian Americans have experienced ‘model minority’ stereotypes
• In their own words: Asian Americans’ experiences with the ‘model minority’ stereotype
• Asian adults who personally know an Asian person who has been threatened or attacked since COVID-19
• In their own words: Asian Americans’ experiences with discrimination during the COVID-19 pandemic
• Experiences with talking about racial discrimination while growing up
• Is enough attention being paid to anti-Asian racism in the U.S.?
• Acknowledgments
• Sample design
• Data collection
• Weighting and variance estimation
• Methodology: 2021 focus groups of Asian Americans
• Appendix: Supplemental tables

In the survey, we asked Asian Americans about their views and experiences with another stereotype: Asians in the U.S. being a “model minority.” Asian adults were asked about their awareness of the label “model minority,” their views on whether the term is a good or bad thing, and their experiences with being treated in ways that reflect the stereotype.

What is the ‘model minority’ stereotype?

Amid the Civil Rights Movement in the 1960s, another narrative about Asian Americans became widespread: being characterized as a “model” minority. In 1966, two articles were published in The New York Times Magazine and U.S. News and World Report that portrayed Japanese and Chinese Americans as examples of successful minorities. Additionally, in 1987 Time magazine published a cover story on “those Asian American whiz kids.” The model minority stereotype has characterized the nation’s Asian population as high-achieving economically and educationally, which has been attributed to Asians being hardworking and deferential to parental and authority figures, among other factors. The stereotype generalizes Asians in the U.S. as intelligent, well-off, and able to excel in fields such as math and science. Additionally, the model minority myth positions Asian Americans in comparison with other non-White groups such as Black and Hispanic Americans.

For many Asians living in the United States, these characterizations do not align with their lived experiences  or reflect their diverse socioeconomic backgrounds . Among Asian origin groups in the U.S., there are wide differences in economic and social experiences. Additionally, academic research has investigated how the pressures of the model minority stereotype can impact Asian Americans’ mental health and academic performance . Critics of the myth have also pointed to its impact on other racial and ethnic groups, especially Black Americans. Some argue that the myth has been used to minimize racial discrimination and justify policies that overlook the historical circumstances and impacts of colonialism, slavery and segregation on other non-White racial and ethnic groups.

More than half of Asian adults (55%) say they have not heard of the term “model minority.” Just under half (44%) say they have heard of the term.

There are some differences in awareness of the term across demographic groups:

• Ethnic origin: About half of Korean and Chinese adults say they have heard of the term, while only about one-third of Indian adults say the same.
• Nativity: 57% of U.S.-born Asian adults have heard the term “model minority,” compared with 40% of immigrants.
• Immigrant generation: Among immigrants, 60% of those who came to the U.S. as children (“1.5 generation” in this report) say they have heard of the term “model minority,” compared with 32% of those who came to the U.S. as adults (first generation). And among U.S.-born Asian Americans, those who are second generation are more likely than those who are third or higher generation to say the same (62% vs. 40%).
• Age: 56% of Asian adults under 30 say they have heard of the term, compared with fewer than half among older Asian adults.
• Party: 51% of Asian adults who identify with or lean to the Democratic Party say they’ve heard the term, compared with 34% of those who identify with or lean to the Republican Party.

Awareness of the term ‘model minority’ varies across education and income

Asian adults with higher levels of formal education and higher family income are more likely to say they have heard of the term “model minority”:

• 53% of Asian adults with a postgraduate degree say they have heard the term, compared with smaller shares of those with a bachelor’s degree or less.
• 54% of Asian adults who make $150,000 or more say they have heard the term, higher than the shares among those with lower incomes. Among Asian Americans who make less than $30,000, only 29% say they have heard of the term “model minority.”

Notably, awareness of the term is higher among those born in the U.S. than immigrants across all levels of education and income.

Among Asian adults who have heard of the term “model minority,” about four-in-ten say using it to describe Asians in the U.S. is a bad thing. Another 28% say using it is neither good nor bad, 17% say using it is a good thing, and 12% say they are not sure.

These views vary by ethnic origin, nativity, age and party. Among those who have heard of the term:

• Ethnic origin: Among Indian adults, the gap between those who say the term “model minority” is a bad thing and those who say it is a good thing (36% vs. 27%) is smaller than among other ethnic origin groups.
• Nativity: 60% of U.S.-born Asian adults say describing Asians as a model minority is a bad thing, while 9% say it is a good thing. Meanwhile, immigrants’ views of the model minority stereotype are more split (33% vs. 21%, respectively).
• Immigrant generation: Among immigrants, 43% of 1.5-generation Asian adults say using the term “model minority” is a bad thing, compared with 26% of first-generation Asian adults.
• Age: Asian adults under 30 are far more likely to say the model minority label is a bad thing than a good thing (66% vs. 8%). Meanwhile, Asian adults 65 and older are more likely to say describing Asian Americans as a model minority is a good thing (36%) than a bad thing (17%).
• Party: 52% of Asian Democrats say describing Asians as a model minority is a bad thing, about three times the share of Asian Republicans who say the same (17%). 

Among those who know the term “model minority,” views of whether using it to describe Asians in the U.S. is a good or bad thing does not vary significantly across education levels. By income, Asian adults who make less than $30,000 are somewhat less likely to say it is a bad thing than those with higher incomes. 18

Views of the ‘model minority’ label are linked to perceptions of the American dream

In the survey, we asked Asian Americans if they believe they have achieved the American dream, are on their way to achieving it, or if they believe the American dream is out of their reach. Among those who have heard of the term “model minority”:

• 54% of Asian adults who believe the American dream is out of their reach say describing Asian Americans as a model minority is a bad thing. This is higher than the shares among those who believe they are on their way to achieving (44%) or believe they have already achieved the American dream (30%).
• Meanwhile, 26% of Asian adults who believe they have achieved the American dream say the model minority label is a good thing. In comparison, 14% of those who believe they are on their way to achieving the American dream and 11% of those who believe that the American dream is out of their reach say the same.

In this survey, we asked Asian Americans how informed they are about the history of Asians in the U.S.

Whether Asian adults have heard of the model minority label is linked to their knowledge of Asian American history:

• 62% of Asian adults who are extremely or very informed of U.S. Asian history have heard of the term “model minority.”
• Smaller shares of those who are somewhat informed (44%) or a little or not at all informed (29%) about U.S. Asian history say they are aware of the term.  

However, among those who have heard of the “model minority” label, views on whether using it to describe Asian Americans is good or bad are similar regardless of how informed they are on Asian American history. About four-in-ten across knowledge levels say describing Asian Americans as a model minority is a bad thing.

The model minority stereotype often paints Asian Americans as intellectually and financially successful, deferential to authority, and competent but robotic or unemotional , especially in comparison with other racial and ethnic groups. Additionally, some stereotypes associated with the model minority characterize Asian Americans as successful in fields such as math and science, as well as lacking in creativity.

Nearly two-thirds of Asian adults (63%) say that in their day-to-day encounters with strangers, they have at least one experience in which someone assumed they are good at math and science or not a creative thinker.

Broadly, Asian adults are far more likely to say someone has assumed they are good at math and science (58%) than not a creative thinker (22%).

Across these experiences, there are some differences by demographic groups:

• Ethnic origin: 68% of Indian adults say strangers have assumed they are good at math and science, a higher share than among most other origin groups. Meanwhile, about half or fewer of Japanese (47%) and Filipino (43%) adults say people have made this assumption about them.
• Immigrant generation: About seven-in-ten Asian adults who are 1.5 generation and second generation each say people have assumed they are good at math and science, compared with 50% among the first generation and 46% among third or higher generations.
• Education: About two-thirds of Asian adults with a postgraduate degree or a bachelor’s degree say strangers have assumed they are good at math and science, compared with roughly half of those with some college experience or less. Similar shares regardless of education say people have assumed they are not a creative thinker.
• Income: 69% of those who make $150,000 or more say strangers have assumed they are good at math and science, compared with 43% of those who make less than $30,000.  
• Race: 59% of single-race Asian adults (those who identify as Asian and no other race) say someone assumed they are good at math and science, compared with 45% of Asian adults who identify with two or more races (those who identify as Asian and at least one other race).

In our 2021 focus groups of Asian Americans, participants talked about their views of and experiences with the “model minority” stereotype.

Many U.S.-born Asian participants shared how it has been harmful , with some discussing the social pressures associated with it. Others spoke about how the stereotype portrays Asians as monolithic and compares them with other racial and ethnic groups.

“You have to be polished. There’s no room for failure. There’s no room for imperfections. You have to be well-spoken, well-educated, have the right opinions, be good-looking, be tall. [You] have to have a family structure. There’s no room for any sort of freedom in identity except for the mold that you’ve been painted as – as a model citizen.”

–U.S.-born man of Pakistani origin in early 30s

“As an Asian person, I feel like there’s a stereotype that Asian students are high achievers academically. They’re good at math and science. … I was a pretty mediocre student, and math and science were actually my weakest subjects, so I feel like it’s either way you lose. Teachers expect you to fit a certain stereotype and if you’re not, then you’re a disappointment, but at the same time, even if you are good at math and science, that just means that you’re fitting a stereotype. It’s [actually] your own achievement, but your teachers might think ‘Oh, it’s because they’re Asian,’ and that diminishes your achievement.”

–U.S.-born woman of Korean origin in late 20s

“The model minority myth … mak[es] us as Asians [and] South Asians monoliths. … I’ve had people go, ‘Oh, so your dad’s a doctor? Is he a lawyer? Do you have money? Do you have this? Do you have that? Are you [in] an arranged marriage?’ And just the kind of image that portrays and gives us. But the expectations put on us as being high performing and everyone assumes you’re going to be smart. … I am a black sheep in many ways, not only within my family, but within Asian [and] South Asian culture, being [in my profession], someone who’s not a doctor, who hasn’t gone the professional, traditional, educational route. So, it’s very harmful, that too, for those communities within the Asian diaspora who have come to the United States. … [M]any of them come from impoverished and underrepresented communities and the expectations put on them to produce or the types of jobs and menial labor they have to take on as a result is really a very poisonous mythos to have out there.”

–U.S.-born woman of Indian origin in early 40s

“One of the reasons the model minority fallacy works so well as an argument against affirmative action [for Indians is] they are a newer immigrant group that has come here and … [t]here’s a lot of education [in India]. People have opportunity there that then they can come [to America] and continue with those connections. Whereas Blacks and Hispanics have had generations of oppression, so they don’t have anything to build off of. So when you bucket everybody – Black, Hispanics and Asians – into one group, then you can make those arguments of, ‘Oh, [Asians] are the model minority, they can do it.’”

Some participants talked about having mixed feelings about being called the “model minority” and how they felt like it put them in a kind of “middle ground.” 

“I feel like Asians are kind of known as the model minority. That kind of puts us in an interesting position where I feel like we’re supposed to excel and succeed in the media, or we’re seen in the media as exceeding in all these things as smart. All of us are not by any means. Yeah, I feel like we’re in this weird middle ground.”

–U.S.-born man of Chinese origin in early 20s

“A lot of people believe that Japanese are the most humble and honest people, even among other Asians. I feel like I need to live up to that. I have to try hard when people say things like that. Of course, it is good, but it’s a lot of work sometimes. As Japanese, and for my family, I try hard.”

–Immigrant man of Japanese origin in mid-40s (translated from Japanese)

Others had more positive impressions of the model minority label, saying it made them proud to be Asian and have others see them that way:

“Whenever I apply for any job, in the drop-down there is an option to choose the ethnicity, and I write Asian American proudly because everyone knows us Asians as hardworking, they recognize us as loyal and hardworking.”

–Immigrant woman of Nepalese origin in mid-40s (translated from Nepali)

“I think any model is a good thing. I mean the cognitive, the word ‘model,’ when you model after somebody it’s a positive meaning to it. So personally for me I have no issues with being called the model minority because it only tells me that I’m doing something right.”

–U.S.-born man of Hmong origin in early 40s

• Some of these groups had relatively small sample sizes. For shares of Asian adults who have heard of the term “model minority” and say using the term to describe the U.S. Asian population is a good or bad thing, by education and income, refer to the Appendix . ↩

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Methodology: 2023 focus groups of asian americans, 1 in 10: redefining the asian american dream (short film), the hardships and dreams of asian americans living in poverty, key facts about asian american eligible voters in 2024, most popular, report materials.

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