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Research Problem – Examples, Types and Guide

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Research Problem

Definition:

Research problem is a specific and well-defined issue or question that a researcher seeks to investigate through research. It is the starting point of any research project, as it sets the direction, scope, and purpose of the study.

Types of Research Problems

Types of Research Problems are as follows:

Descriptive problems

These problems involve describing or documenting a particular phenomenon, event, or situation. For example, a researcher might investigate the demographics of a particular population, such as their age, gender, income, and education.

Exploratory problems

These problems are designed to explore a particular topic or issue in depth, often with the goal of generating new ideas or hypotheses. For example, a researcher might explore the factors that contribute to job satisfaction among employees in a particular industry.

Explanatory Problems

These problems seek to explain why a particular phenomenon or event occurs, and they typically involve testing hypotheses or theories. For example, a researcher might investigate the relationship between exercise and mental health, with the goal of determining whether exercise has a causal effect on mental health.

Predictive Problems

These problems involve making predictions or forecasts about future events or trends. For example, a researcher might investigate the factors that predict future success in a particular field or industry.

Evaluative Problems

These problems involve assessing the effectiveness of a particular intervention, program, or policy. For example, a researcher might evaluate the impact of a new teaching method on student learning outcomes.

How to Define a Research Problem

Defining a research problem involves identifying a specific question or issue that a researcher seeks to address through a research study. Here are the steps to follow when defining a research problem:

• Identify a broad research topic : Start by identifying a broad topic that you are interested in researching. This could be based on your personal interests, observations, or gaps in the existing literature.
• Conduct a literature review : Once you have identified a broad topic, conduct a thorough literature review to identify the current state of knowledge in the field. This will help you identify gaps or inconsistencies in the existing research that can be addressed through your study.
• Refine the research question: Based on the gaps or inconsistencies identified in the literature review, refine your research question to a specific, clear, and well-defined problem statement. Your research question should be feasible, relevant, and important to the field of study.
• Develop a hypothesis: Based on the research question, develop a hypothesis that states the expected relationship between variables.
• Define the scope and limitations: Clearly define the scope and limitations of your research problem. This will help you focus your study and ensure that your research objectives are achievable.
• Get feedback: Get feedback from your advisor or colleagues to ensure that your research problem is clear, feasible, and relevant to the field of study.

Components of a Research Problem

The components of a research problem typically include the following:

• Topic : The general subject or area of interest that the research will explore.
• Research Question : A clear and specific question that the research seeks to answer or investigate.
• Objective : A statement that describes the purpose of the research, what it aims to achieve, and the expected outcomes.
• Hypothesis : An educated guess or prediction about the relationship between variables, which is tested during the research.
• Variables : The factors or elements that are being studied, measured, or manipulated in the research.
• Methodology : The overall approach and methods that will be used to conduct the research.
• Scope and Limitations : A description of the boundaries and parameters of the research, including what will be included and excluded, and any potential constraints or limitations.
• Significance: A statement that explains the potential value or impact of the research, its contribution to the field of study, and how it will add to the existing knowledge.

Research Problem Examples

Following are some Research Problem Examples:

Research Problem Examples in Psychology are as follows:

• Exploring the impact of social media on adolescent mental health.
• Investigating the effectiveness of cognitive-behavioral therapy for treating anxiety disorders.
• Studying the impact of prenatal stress on child development outcomes.
• Analyzing the factors that contribute to addiction and relapse in substance abuse treatment.
• Examining the impact of personality traits on romantic relationships.

Research Problem Examples in Sociology are as follows:

• Investigating the relationship between social support and mental health outcomes in marginalized communities.
• Studying the impact of globalization on labor markets and employment opportunities.
• Analyzing the causes and consequences of gentrification in urban neighborhoods.
• Investigating the impact of family structure on social mobility and economic outcomes.
• Examining the effects of social capital on community development and resilience.

Research Problem Examples in Economics are as follows:

• Studying the effects of trade policies on economic growth and development.
• Analyzing the impact of automation and artificial intelligence on labor markets and employment opportunities.
• Investigating the factors that contribute to economic inequality and poverty.
• Examining the impact of fiscal and monetary policies on inflation and economic stability.
• Studying the relationship between education and economic outcomes, such as income and employment.

Political Science

Research Problem Examples in Political Science are as follows:

• Analyzing the causes and consequences of political polarization and partisan behavior.
• Investigating the impact of social movements on political change and policymaking.
• Studying the role of media and communication in shaping public opinion and political discourse.
• Examining the effectiveness of electoral systems in promoting democratic governance and representation.
• Investigating the impact of international organizations and agreements on global governance and security.

Environmental Science

Research Problem Examples in Environmental Science are as follows:

• Studying the impact of air pollution on human health and well-being.
• Investigating the effects of deforestation on climate change and biodiversity loss.
• Analyzing the impact of ocean acidification on marine ecosystems and food webs.
• Studying the relationship between urban development and ecological resilience.
• Examining the effectiveness of environmental policies and regulations in promoting sustainability and conservation.

Research Problem Examples in Education are as follows:

• Investigating the impact of teacher training and professional development on student learning outcomes.
• Studying the effectiveness of technology-enhanced learning in promoting student engagement and achievement.
• Analyzing the factors that contribute to achievement gaps and educational inequality.
• Examining the impact of parental involvement on student motivation and achievement.
• Studying the effectiveness of alternative educational models, such as homeschooling and online learning.

Research Problem Examples in History are as follows:

• Analyzing the social and economic factors that contributed to the rise and fall of ancient civilizations.
• Investigating the impact of colonialism on indigenous societies and cultures.
• Studying the role of religion in shaping political and social movements throughout history.
• Analyzing the impact of the Industrial Revolution on economic and social structures.
• Examining the causes and consequences of global conflicts, such as World War I and II.

Research Problem Examples in Business are as follows:

• Studying the impact of corporate social responsibility on brand reputation and consumer behavior.
• Investigating the effectiveness of leadership development programs in improving organizational performance and employee satisfaction.
• Analyzing the factors that contribute to successful entrepreneurship and small business development.
• Examining the impact of mergers and acquisitions on market competition and consumer welfare.
• Studying the effectiveness of marketing strategies and advertising campaigns in promoting brand awareness and sales.

Research Problem Example for Students

An Example of a Research Problem for Students could be:

“How does social media usage affect the academic performance of high school students?”

This research problem is specific, measurable, and relevant. It is specific because it focuses on a particular area of interest, which is the impact of social media on academic performance. It is measurable because the researcher can collect data on social media usage and academic performance to evaluate the relationship between the two variables. It is relevant because it addresses a current and important issue that affects high school students.

To conduct research on this problem, the researcher could use various methods, such as surveys, interviews, and statistical analysis of academic records. The results of the study could provide insights into the relationship between social media usage and academic performance, which could help educators and parents develop effective strategies for managing social media use among students.

Another example of a research problem for students:

“Does participation in extracurricular activities impact the academic performance of middle school students?”

This research problem is also specific, measurable, and relevant. It is specific because it focuses on a particular type of activity, extracurricular activities, and its impact on academic performance. It is measurable because the researcher can collect data on students’ participation in extracurricular activities and their academic performance to evaluate the relationship between the two variables. It is relevant because extracurricular activities are an essential part of the middle school experience, and their impact on academic performance is a topic of interest to educators and parents.

To conduct research on this problem, the researcher could use surveys, interviews, and academic records analysis. The results of the study could provide insights into the relationship between extracurricular activities and academic performance, which could help educators and parents make informed decisions about the types of activities that are most beneficial for middle school students.

Applications of Research Problem

Applications of Research Problem are as follows:

• Academic research: Research problems are used to guide academic research in various fields, including social sciences, natural sciences, humanities, and engineering. Researchers use research problems to identify gaps in knowledge, address theoretical or practical problems, and explore new areas of study.
• Business research : Research problems are used to guide business research, including market research, consumer behavior research, and organizational research. Researchers use research problems to identify business challenges, explore opportunities, and develop strategies for business growth and success.
• Healthcare research : Research problems are used to guide healthcare research, including medical research, clinical research, and health services research. Researchers use research problems to identify healthcare challenges, develop new treatments and interventions, and improve healthcare delivery and outcomes.
• Public policy research : Research problems are used to guide public policy research, including policy analysis, program evaluation, and policy development. Researchers use research problems to identify social issues, assess the effectiveness of existing policies and programs, and develop new policies and programs to address societal challenges.
• Environmental research : Research problems are used to guide environmental research, including environmental science, ecology, and environmental management. Researchers use research problems to identify environmental challenges, assess the impact of human activities on the environment, and develop sustainable solutions to protect the environment.

Purpose of Research Problems

The purpose of research problems is to identify an area of study that requires further investigation and to formulate a clear, concise and specific research question. A research problem defines the specific issue or problem that needs to be addressed and serves as the foundation for the research project.

Identifying a research problem is important because it helps to establish the direction of the research and sets the stage for the research design, methods, and analysis. It also ensures that the research is relevant and contributes to the existing body of knowledge in the field.

A well-formulated research problem should:

• Clearly define the specific issue or problem that needs to be investigated
• Be specific and narrow enough to be manageable in terms of time, resources, and scope
• Be relevant to the field of study and contribute to the existing body of knowledge
• Be feasible and realistic in terms of available data, resources, and research methods
• Be interesting and intellectually stimulating for the researcher and potential readers or audiences.

Characteristics of Research Problem

The characteristics of a research problem refer to the specific features that a problem must possess to qualify as a suitable research topic. Some of the key characteristics of a research problem are:

• Clarity : A research problem should be clearly defined and stated in a way that it is easily understood by the researcher and other readers. The problem should be specific, unambiguous, and easy to comprehend.
• Relevance : A research problem should be relevant to the field of study, and it should contribute to the existing body of knowledge. The problem should address a gap in knowledge, a theoretical or practical problem, or a real-world issue that requires further investigation.
• Feasibility : A research problem should be feasible in terms of the availability of data, resources, and research methods. It should be realistic and practical to conduct the study within the available time, budget, and resources.
• Novelty : A research problem should be novel or original in some way. It should represent a new or innovative perspective on an existing problem, or it should explore a new area of study or apply an existing theory to a new context.
• Importance : A research problem should be important or significant in terms of its potential impact on the field or society. It should have the potential to produce new knowledge, advance existing theories, or address a pressing societal issue.
• Manageability : A research problem should be manageable in terms of its scope and complexity. It should be specific enough to be investigated within the available time and resources, and it should be broad enough to provide meaningful results.

Advantages of Research Problem

The advantages of a well-defined research problem are as follows:

• Focus : A research problem provides a clear and focused direction for the research study. It ensures that the study stays on track and does not deviate from the research question.
• Clarity : A research problem provides clarity and specificity to the research question. It ensures that the research is not too broad or too narrow and that the research objectives are clearly defined.
• Relevance : A research problem ensures that the research study is relevant to the field of study and contributes to the existing body of knowledge. It addresses gaps in knowledge, theoretical or practical problems, or real-world issues that require further investigation.
• Feasibility : A research problem ensures that the research study is feasible in terms of the availability of data, resources, and research methods. It ensures that the research is realistic and practical to conduct within the available time, budget, and resources.
• Novelty : A research problem ensures that the research study is original and innovative. It represents a new or unique perspective on an existing problem, explores a new area of study, or applies an existing theory to a new context.
• Importance : A research problem ensures that the research study is important and significant in terms of its potential impact on the field or society. It has the potential to produce new knowledge, advance existing theories, or address a pressing societal issue.
• Rigor : A research problem ensures that the research study is rigorous and follows established research methods and practices. It ensures that the research is conducted in a systematic, objective, and unbiased manner.

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Muhammad Hassan

Researcher, Academic Writer, Web developer

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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]

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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) https://helpfulprofessor.com/author/chris-drew-phd-2/ 10 Reasons you’re Perpetually Single
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 20 Montessori Toddler Bedrooms (Design Inspiration)
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 21 Montessori Homeschool Setups
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 101 Hidden Talents Examples

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What is a Research Problem? Characteristics, Types, and Examples

A research problem is a gap in existing knowledge, a contradiction in an established theory, or a real-world challenge that a researcher aims to address in their research. It is at the heart of any scientific inquiry, directing the trajectory of an investigation. The statement of a problem orients the reader to the importance of the topic, sets the problem into a particular context, and defines the relevant parameters, providing the framework for reporting the findings. Therein lies the importance of research problem s.  

The formulation of well-defined research questions is central to addressing a research problem . A research question is a statement made in a question form to provide focus, clarity, and structure to the research endeavor. This helps the researcher design methodologies, collect data, and analyze results in a systematic and coherent manner. A study may have one or more research questions depending on the nature of the study.   

Identifying and addressing a research problem is very important. By starting with a pertinent problem , a scholar can contribute to the accumulation of evidence-based insights, solutions, and scientific progress, thereby advancing the frontier of research. Moreover, the process of formulating research problems and posing pertinent research questions cultivates critical thinking and hones problem-solving skills.   

Table of Contents

What is a Research Problem ?  

Before you conceive of your project, you need to ask yourself “ What is a research problem ?” A research problem definition can be broadly put forward as the primary statement of a knowledge gap or a fundamental challenge in a field, which forms the foundation for research. Conversely, the findings from a research investigation provide solutions to the problem .  

A research problem guides the selection of approaches and methodologies, data collection, and interpretation of results to find answers or solutions. A well-defined problem determines the generation of valuable insights and contributions to the broader intellectual discourse.  

Characteristics of a Research Problem  

Knowing the characteristics of a research problem is instrumental in formulating a research inquiry; take a look at the five key characteristics below:  

Novel : An ideal research problem introduces a fresh perspective, offering something new to the existing body of knowledge. It should contribute original insights and address unresolved matters or essential knowledge.   

Significant : A problem should hold significance in terms of its potential impact on theory, practice, policy, or the understanding of a particular phenomenon. It should be relevant to the field of study, addressing a gap in knowledge, a practical concern, or a theoretical dilemma that holds significance.  

Feasible: A practical research problem allows for the formulation of hypotheses and the design of research methodologies. A feasible research problem is one that can realistically be investigated given the available resources, time, and expertise. It should not be too broad or too narrow to explore effectively, and should be measurable in terms of its variables and outcomes. It should be amenable to investigation through empirical research methods, such as data collection and analysis, to arrive at meaningful conclusions A practical research problem considers budgetary and time constraints, as well as limitations of the problem . These limitations may arise due to constraints in methodology, resources, or the complexity of the problem.  

Clear and specific : A well-defined research problem is clear and specific, leaving no room for ambiguity; it should be easily understandable and precisely articulated. Ensuring specificity in the problem ensures that it is focused, addresses a distinct aspect of the broader topic and is not vague.  

Rooted in evidence: A good research problem leans on trustworthy evidence and data, while dismissing unverifiable information. It must also consider ethical guidelines, ensuring the well-being and rights of any individuals or groups involved in the study.

Types of Research Problems  

Across fields and disciplines, there are different types of research problems . We can broadly categorize them into three types.  

• Theoretical research problems

Theoretical research problems deal with conceptual and intellectual inquiries that may not involve empirical data collection but instead seek to advance our understanding of complex concepts, theories, and phenomena within their respective disciplines. For example, in the social sciences, research problem s may be casuist (relating to the determination of right and wrong in questions of conduct or conscience), difference (comparing or contrasting two or more phenomena), descriptive (aims to describe a situation or state), or relational (investigating characteristics that are related in some way).  

Here are some theoretical research problem examples :   

• Ethical frameworks that can provide coherent justifications for artificial intelligence and machine learning algorithms, especially in contexts involving autonomous decision-making and moral agency.  
• Determining how mathematical models can elucidate the gradual development of complex traits, such as intricate anatomical structures or elaborate behaviors, through successive generations.  
• Applied research problems

Applied or practical research problems focus on addressing real-world challenges and generating practical solutions to improve various aspects of society, technology, health, and the environment.  

Here are some applied research problem examples :   

• Studying the use of precision agriculture techniques to optimize crop yield and minimize resource waste.  
• Designing a more energy-efficient and sustainable transportation system for a city to reduce carbon emissions.  
• Action research problems

Action research problems aim to create positive change within specific contexts by involving stakeholders, implementing interventions, and evaluating outcomes in a collaborative manner.  

Here are some action research problem examples :   

• Partnering with healthcare professionals to identify barriers to patient adherence to medication regimens and devising interventions to address them.  
• Collaborating with a nonprofit organization to evaluate the effectiveness of their programs aimed at providing job training for underserved populations.  

These different types of research problems may give you some ideas when you plan on developing your own.  

How to Define a Research Problem  

You might now ask “ How to define a research problem ?” These are the general steps to follow:   

• Look for a broad problem area: Identify under-explored aspects or areas of concern, or a controversy in your topic of interest. Evaluate the significance of addressing the problem in terms of its potential contribution to the field, practical applications, or theoretical insights.
• Learn more about the problem: Read the literature, starting from historical aspects to the current status and latest updates. Rely on reputable evidence and data. Be sure to consult researchers who work in the relevant field, mentors, and peers. Do not ignore the gray literature on the subject.
• Identify the relevant variables and how they are related: Consider which variables are most important to the study and will help answer the research question. Once this is done, you will need to determine the relationships between these variables and how these relationships affect the research problem . 
• Think of practical aspects : Deliberate on ways that your study can be practical and feasible in terms of time and resources. Discuss practical aspects with researchers in the field and be open to revising the problem based on feedback. Refine the scope of the research problem to make it manageable and specific; consider the resources available, time constraints, and feasibility.
• Formulate the problem statement: Craft a concise problem statement that outlines the specific issue, its relevance, and why it needs further investigation.
• Stick to plans, but be flexible: When defining the problem , plan ahead but adhere to your budget and timeline. At the same time, consider all possibilities and ensure that the problem and question can be modified if needed.

Key Takeaways  

• A research problem concerns an area of interest, a situation necessitating improvement, an obstacle requiring eradication, or a challenge in theory or practical applications.   
• The importance of research problem is that it guides the research and helps advance human understanding and the development of practical solutions.  
• Research problem definition begins with identifying a broad problem area, followed by learning more about the problem, identifying the variables and how they are related, considering practical aspects, and finally developing the problem statement.  
• Different types of research problems include theoretical, applied, and action research problems , and these depend on the discipline and nature of the study.  
• An ideal problem is original, important, feasible, specific, and based on evidence.  

Frequently Asked Questions  

Why is it important to define a research problem?  

Identifying potential issues and gaps as research problems is important for choosing a relevant topic and for determining a well-defined course of one’s research. Pinpointing a problem and formulating research questions can help researchers build their critical thinking, curiosity, and problem-solving abilities.   

How do I identify a research problem?  

Identifying a research problem involves recognizing gaps in existing knowledge, exploring areas of uncertainty, and assessing the significance of addressing these gaps within a specific field of study. This process often involves thorough literature review, discussions with experts, and considering practical implications.  

Can a research problem change during the research process?  

Yes, a research problem can change during the research process. During the course of an investigation a researcher might discover new perspectives, complexities, or insights that prompt a reevaluation of the initial problem. The scope of the problem, unforeseen or unexpected issues, or other limitations might prompt some tweaks. You should be able to adjust the problem to ensure that the study remains relevant and aligned with the evolving understanding of the subject matter.

How does a research problem relate to research questions or hypotheses?  

A research problem sets the stage for the study. Next, research questions refine the direction of investigation by breaking down the broader research problem into manageable components. Research questions are formulated based on the problem , guiding the investigation’s scope and objectives. The hypothesis provides a testable statement to validate or refute within the research process. All three elements are interconnected and work together to guide the research.  

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Identifying a Research Problem: A Step-by-Step Guide

The first and perhaps most important step in the research process is identifying a research problem. This step sets the foundation for all subsequent research activities and largely determines the success of your scholarly work.

This guide provides a comprehensive overview of the steps involved in identifying a research problem, from understanding its essence to employing advanced strategies for refinement.

Key Takeaways

• Remember: Grasping the definition and importance of a research problem isn't just a step—it's crucial for your academic success.
• Exploring various sources, like literature reviews and expert consultations, can guide you in formulating a solid research problem.
• A clear problem statement, aligned research objectives, and well-defined questions are crucial for a focused study.
• Evaluating the feasibility and potential impact of a research problem ensures its relevance and scope.
• Advanced strategies, including interdisciplinary approaches and technology utilization, can enhance the identification and refinement of research problems.

Understanding the Essence of Identifying a Research Problem

Defining the research problem.

A research problem is the focal point of any academic inquiry. It is a concise and well-defined statement that outlines the specific issue or question that the research aims to address. This research problem usually sets the tone for the entire study and provides you, the researcher, with a clear purpose and a clear direction on how to go about conducting your research.

Importance in Academic Research

It also demonstrates the significance of your research and its potential to contribute new knowledge to the existing body of literature in the world. A compelling research problem not only captivates the attention of your peers but also lays the foundation for impactful and meaningful research outcomes.

Initial Steps to Identification

To identify a research problem, you need a systematic approach and a deep understanding of the subject area. Below are some steps to guide you in this process:

• Conduct a thorough literature review to understand what has been studied before.
• Identify gaps in the existing research that could form the basis of your study.
• Consult with academic mentors to refine your ideas and approach.

Exploring Sources for Research Problem Identification

Literature review.

When you embark on the journey of identifying a research problem, a thorough literature review is indispensable. This process involves scrutinizing existing research to find literature gaps and unexplored areas that could form the basis of your research. It's crucial to analyze recent studies, seminal works, and review articles to ensure a comprehensive understanding of the topic.

Existing Theories and Frameworks

The exploration of existing theories and frameworks provides a solid foundation for developing a research problem. By understanding the established models and theories, you can identify inconsistencies or areas lacking in depth which might offer fruitful avenues for research.

Consultation with Academic Mentors

Engaging with academic mentors is vital in shaping a well-defined research problem. Their expertise can guide you through the complexities of your field, offering insights into feasible research questions and helping you refine your focus. This interaction often leads to the identification of unique and significant research opportunities that align with current academic and industry trends.

Formulating the Research Problem

Crafting a clear problem statement.

To effectively address your research problem, start by crafting a clear problem statement . This involves succinctly describing who is affected by the problem, why it is important, and how your research will contribute to solving it. Ensure your problem statement is concise and specific to guide the entire research process.

Setting Research Objectives

Setting clear research objectives is crucial for maintaining focus throughout your study. These objectives should directly align with the problem statement and guide your research activities. Consider using a bulleted list to outline your main objectives:

• Understand the underlying factors contributing to the problem
• Explore potential solutions
• Evaluate the effectiveness of proposed solutions

Determining Research Questions

The formulation of precise research questions is a pivotal step in defining the scope and direction of your study. These questions should be directly derived from your research objectives and designed to be answerable through your chosen research methods. Crafting well-defined research questions will help you maintain a clear focus and avoid common pitfalls in the research process.

How to Evaluate the Scope and Relevance of Your Research Problem

Feasibility assessment.

Before you finalize a research problem, it is crucial to assess its feasibility. Consider the availability of resources, time, and expertise required to conduct the research. Evaluate potential constraints and determine if the research problem can be realistically tackled within the given limitations.

Significance to the Field

Ask yourself: Does my research problem have a clear and direct impact on my field? How will it contribute to advancing knowledge? It should aim to contribute to existing knowledge and address a real-world issue that is relevant to your academic discipline.

Potential Impact on Existing Knowledge

The potential impact of your research problem on existing knowledge cannot be understated. It should challenge, extend, or refine current understanding in a meaningful way. Consider how your research can add value to the existing body of work and potentially lead to significant advancements in your field.

Techniques for Refining the Research Problem

Narrowing down the focus.

To effectively refine your research problem, start by narrowing down the focus . This involves pinpointing the specific aspects of your topic that are most significant and ensuring that your research problem is not too broad. This targeted approach helps in identifying knowledge gaps and formulating more precise research questions.

Incorporating Feedback

Feedback is crucial in the refinement process. Engage with academic mentors, peers, and experts in your field to gather insights and suggestions. This collaborative feedback can lead to significant improvements in your research problem, making it more robust and relevant.

Iterative Refinement Process

Refinement should be seen as an iterative process, where you continuously refine and revise your research problem based on new information and feedback. This approach ensures that your research problem remains aligned with current trends and academic standards, ultimately enhancing its feasibility and relevance.

Challenges in Identifying a Research Problem

Common pitfalls and how to avoid them.

Identifying a research problem can be fraught with common pitfalls such as selecting a topic that is too broad or too narrow. To avoid these, you should conduct a thorough literature review and seek feedback from peers and mentors. This proactive approach ensures that your research question is both relevant and manageable.

Dealing with Ambiguity

Ambiguity in defining the research problem can lead to significant challenges down the line. Ensure clarity by operationalizing variables and explicitly stating the research objectives. This clarity will guide your entire research process, making it more structured and focused.

Balancing Novelty and Practicality

While it's important to address a novel issue in your research, practicality should not be overlooked. A research problem should not only contribute new knowledge but also be feasible and have clear implications. Balancing these aspects often requires iterative refinement and consultation with academic mentors to align your research with real-world applications.

Advanced Strategies for Identifying a Research Problem

Interdisciplinary approaches.

Embrace the power of interdisciplinary approaches to uncover unique and comprehensive research problems. By integrating knowledge from various disciplines, you can address complex issues that single-field studies might overlook. This method not only broadens the scope of your research but also enhances its applicability and depth.

Utilizing Technology and Data Analytics

Leverage technology and data analytics to refine and identify research problems with precision. Advanced tools like machine learning and big data analysis can reveal patterns and insights that traditional methods might miss. This approach is particularly useful in fields where large datasets are involved, or where real-time data integration can lead to more dynamic research outcomes.

Engaging with Industry and Community Needs

Focus on the needs of industry and community to ensure your research is not only academically sound but also practically relevant. Engaging with real-world problems can provide a rich source of research questions that are directly applicable and beneficial to society. This strategy not only enhances the relevance of your research but also increases its potential for impact.

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In conclusion, identifying a research problem is a foundational step in the academic research process that requires careful consideration and systematic approach. This guide has outlined the essential steps involved, from understanding the context and reviewing existing literature to formulating clear research questions. By adhering to these guidelines, researchers can ensure that their studies are grounded in a well-defined problem, enhancing the relevance and impact of their findings. It is crucial for scholars to approach this task with rigor and critical thinking to contribute meaningfully to the body of knowledge in their respective fields. 

Frequently Asked Questions

What is a research problem.

A research problem is a specific issue, inconsistency, or gap in knowledge that needs to be addressed through scientific inquiry. It forms the foundation of a research study, guiding the research questions, methodology, and analysis.

Why is identifying a research problem important?

Identifying a research problem is crucial as it determines the direction and scope of the study. It helps researchers focus their inquiry, formulate hypotheses, and contribute to the existing body of knowledge.

How do I identify a suitable research problem?

To identify a suitable research problem, start with a thorough literature review to understand existing research and identify gaps. Consult with academic mentors, and consider relevance, feasibility, and your own interests.

What are some common pitfalls in identifying a research problem?

Common pitfalls include choosing a problem that is too broad or too narrow, not aligning with existing literature, lack of originality, and failing to consider the practical implications and feasibility of the study.

Can technology help in identifying a research problem?

Yes, technology and data analytics can aid in identifying research problems by providing access to a vast amount of data, revealing patterns and trends that might not be visible otherwise. Tools like digital libraries and research databases are particularly useful.

How can I refine my research problem?

Refine your research problem by narrowing its focus, seeking feedback from peers and mentors, and continually reviewing and adjusting the problem statement based on new information and insights gained during preliminary research.

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The Research Problem & Statement

I f 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 .

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A research problem is a definite, 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:

• Introduces 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.
• Places the topic into a particular context . It defines the parameters of what is to be investigated.
• Provides the framework for reporting the results. It indicates what is probably necessary to conduct the study and explain how the findings will present this information.

In the social and behavioral 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 in a meaningful way.

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, understood, and accurately reported],
• 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 and behavioral 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 be 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. From this, assume the position of a researcher to explore how a personal experience could be examined as a topic of investigation with outcomes [findings] applicable to others.

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 a lack of evidence exists 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].

NOTE: 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. However, 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 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 [i.e., difference of opinion] 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 a complex research project and realize that you do not have enough prior research to draw from for your analysis. There's nothing inherently wrong with original research, but you must choose a 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 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 addressed. 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. The questions should also relate to each other in some meaningful way . 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 fifty 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 fifty 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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Stanford bioengineer  Michael Fischbach likes to create problems – but not in the way you may think. Problem is a word that most people dread: a negative hindrance, a roadblock to progress. But in science, and for Fischbach, that’s not the case.

In the realm of research – and beyond – Fischbach says selecting a problem is the first step in working toward a solution. He values problems so much, in fact, that he and his mentor, the late Christopher T. Walsh, developed a framework and a course to help scientists and students find a good problem to work on – which can lead to optimal solutions.

“In every discipline, you find people who have good taste in problems. They work on things that are important, with great opportunities, that have tremendous impact. That’s treated as a rare trait,” said Fischbach. “But I wondered: How could you teach this to someone who didn’t know how to start?”

Below, Fischbach shares a simplified version of this framework, and how it could help anyone choose their next problem with care.

1. Spend more time

When figuring out what problem to work on, people are typically in a rush. But the course Fischbach teaches on this topic encourages students to take months to brainstorm. “It’s the main thesis, more than anything else. We should spend more time practicing and talking about and exercising this skill,” said Fischbach. People don’t automatically think optimally about approaching problems, so taking more time to strategize maximizes the chances that you’ll achieve your end goals.

Fischbach likens choosing a problem to a constant practice like yoga or meditation. And he’s found that the more time a person spends on selecting problems, the more they also develop the skills for coming up with the answers. He also reports that his students really value the slower process – partially because they’ve seen that haste really does make waste when it comes to graduate projects.

2. Use structure as a resource

Getting started can be a challenge if everything lives in your head. “You just have to put something concrete down, something on paper, which makes for good discussion. The one thing that doesn’t work is a blank piece of paper with no structure, because humans get paralyzed by a lack of structure,” said Fischbach. He compared setting these early boundaries to haiku – the rigid rules for a number of syllables and lines engenders creativity and resourcefulness.

3. Spark your inspiration

“There’s no one way to come up with an idea,” Fischbach said. But the prompts in his framework, called “intuition pumps” (from Daniel Dennett’s book Intuition Pumps and Other Tools for Thinking ) are made to help guide people along the way.

These prompts include asking how to optimize a current process, imagining how to get from the current state of things to the future, and observing what works and what doesn’t work now. Fischbach said, “It almost doesn’t matter which you use, as long as it gets you thinking.”

4. Avoid the traps

When coming up with a problem, there are some pitfalls that Fischbach warns against – and these will likely sound familiar, even to nonscientists. His framework cautions people against choosing problems just because they’re easy, specializing so much that the problem is no longer useful, joining a trend too late, blaming external factors for issues you come across, and only copying the process of people you observe, rather than developing the actual process yourself.

Fischbach emphasized that conversation is an important part of the problem picking process because others may spot traps that the problem picker has missed.

Sometimes you feel like you need to find something that is sure to succeed. But nothing worth doing has that profile – nothing in life.”

5. Get comfortable with risk

High risk can lead to high reward. But the stakes may often seem too high when they’re tied to your success in a grad program or at work.

Fischbach acknowledged that and said, “I think sometimes you feel like you need to find something that is sure to succeed. But nothing worth doing has that profile – nothing in life. The more honest and useful thing to do is to just be open about what the risks are, and not only that, but to get very comfortable with them.”

Getting other people on board is easier that way too. If you develop a keen awareness of the risks involved with your process, you have better odds of convincing others that the risks are worth it.

6. Go for the goal

Problem picking is about trying to get to a solution and an end goal, but the journey there might take longer if you don’t keep your eye on the prize. Fischbach pointed to solutions for more niche problems, such as a staircase-climbing wheelchair, as a model for this. The developers of that tool created it for a subset of disabled people who it would be beneficial for, Fischbach says, rather than trying to make it have wide market appeal.

“You have to be very honest with yourself about what you’re solving for. If you get that wrong, you might make it hard for other people to understand why you’re doing what you’re doing,” said Fischbach. “So, ask yourself: What is your motivation? What are you aiming for? It’s easier for you to understand what you’re trying to do if you can articulate your goal.”

7. Keep the details flexible

Somewhat the opposite of setting constraints at the beginning of choosing a problem, once you have a goal in mind, embrace that there are a number of possible ways to get there. In the face of so many options, Fischbach recommends answering another question: What is your main focus? From there, allow some flexibility in how solutions evolve.

Take, for example, being interested in both artificial intelligence and climate change. You might move forward assuming that you should simply combine the two interests. But artificial intelligence may not be the right tool for the climate change issue you wanted to address. Forcing the connection between the two as your solution – rather than focusing on the main problem and keeping the approach to solving it flexible – may lead to getting stuck down the line.

The original plan was made when you had less information and things hadn’t progressed. But the practice of anything is 90% doing and 10% switching to a different mode and updating your approach.”

8. Expect twists and turns

Much of the framework that Fischbach teaches is essentially about making the plan before you set out to solve anything. But it’s rarely so straightforward as following your plan from A to Z. “When you start out thinking that your original plan is going to unfold exactly, that is an illusion. There’s no real project I’ve seen that doesn’t go through some serious twists and turns,” said Fischbach.

Fortunately, Fischbach explained that in the planning process, people are actually choosing an ensemble of paths – and when you get knocked off one course, you usually have the ability to switch to a different path.

9. Do the “altitude dance”

As you journey from problem to solution, it can be hard to remember to zoom out every once in a while to make sure you’re navigating around roadblocks. That process is what Fischbach calls the altitude dance – being able to see the bigger picture and make adjustments in your everyday work to get there.

Fischbach said, “The original plan was made when you had less information and things hadn’t progressed. But the practice of anything is 90% doing and 10% switching to a different mode and updating your approach.”

The ability to cycle between active problem solving and evaluating that progress from a more removed perspective is what Fishbach considers the ultimate key to solving problems.

10. Face problems head on

In some martial arts, the practice of nonresistance helps redirect the energy of an opponent. Rather than resisting the move or running away, you allow the opponent to approach and then use their own energy to flip them. Fischbach thinks this is the best approach to any issue.

“Often you confront a problem, and if it feels bad, you want to deny it for a while. Then, when you accept it, you want to turn and run in the other direction,” said Fischbach. “But the problem you’re confronting has incredibly high information content: It’s telling you about key weaknesses in your idea. And often, it’s giving you the clue you need to solve it.”

Even outside of the research context, Fischbach believes that facing adversity and getting yourself out of a tight spot are invaluable. “It’s not a cause for sadness – it’s the quintessential experience of life,” said Fischbach. “And if you can get out of it by using your brain, your creativity, your intuition, the people around you – you take a shortcut to the next level. And you’re unstoppable.”

For more information

Fischbach is the Liu (Liao) Family Professor of Bioengineering in the schools of Engineering and Medicine . He is also an institute scholar at Sarafan ChEM-H , director of the Microbiome Therapies Initiative (MITI) and a member of Stanford Bio-X , the Wu Tsai Human Performance Alliance , the Maternal & Child Health Research Institute (MCHRI) , Stanford Medicine Children’s Health Center for IBD and Celiac Disease , and the Stanford Cancer Institute .

The journal Cell  published a paper on this topic by Fischbach titled, “Problem choice and decision trees in science and engineering,” in April 2024.

• How it works

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.

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Let’s briefly examine the concept of research paradigms, their pillars, purposes, types, examples, and how they can be combined.

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

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• How It Works

• How To Formulate A Research Problem

Introduction

In the dynamic realm of academia, research problems serve as crucial stepping stones for groundbreaking discoveries and advancements. Research problems lay the groundwork for inquiry and exploration that happens when conducting research. They direct the path toward knowledge expansion.

In this blog post, we will discuss the different ways you can identify and formulate a research problem. We will also highlight how you can write a research problem, its significance in guiding your research journey, and how it contributes to knowledge advancement.

Understanding the Essence of a Research Problem

A research problem is defined as the focal point of any academic inquiry. It is a concise and well-defined statement that outlines the specific issue or question that the research aims to address. This research problem usually sets the tone for the entire study and provides you, the researcher, with a clear purpose and a clear direction on how to go about conducting your research.

There are two ways you can consider what the purpose of your research problem is. The first way is that the research problem helps you define the scope of your study and break down what you should focus on in the research. The essence of this is to ensure that you embark on a relevant study and also easily manage it. 

The second way is that having a research problem helps you develop a step-by-step guide in your research exploration and execution. It directs your efforts and determines the type of data you need to collect and analyze. Furthermore, a well-developed research problem is really important because it contributes to the credibility and validity of your study.

It also demonstrates the significance of your research and its potential to contribute new knowledge to the existing body of literature in the world. A compelling research problem not only captivates the attention of your peers but also lays the foundation for impactful and meaningful research outcomes.

Identifying a Research Problem

To identify a research problem, you need a systematic approach and a deep understanding of the subject area. Below are some steps to guide you in this process:

• Conduct a Literature Review: Before you dive into your research problem, ensure you get familiar with the existing literature in your field. Analyze gaps, controversies, and unanswered questions. This will help you identify areas where your research can make a meaningful contribution.
• Consult with Peers and Mentors: Participate in discussions with your peers and mentors to gain insights and feedback on potential research problems. Their perspectives can help you refine and validate your ideas.
• Define Your Research Objectives: Clearly outline the objectives of your study. What do you want to achieve through your research? What specific outcomes are you aiming for?

Formulating a Research Problem

Once you have identified the general area of interest and specific research objectives, you can then formulate your research problem. Things to consider when formulating a research problem:

• Clarity and Specificity: Your research problem should be concise, specific, and devoid of ambiguity. Avoid vague statements that could lead to confusion or misinterpretation.
• Originality: Strive to formulate a research problem that addresses a unique and unexplored aspect of your field. Originality is key to making a meaningful contribution to the existing knowledge.
• Feasibility: Ensure that your research problem is feasible within the constraints of time, resources, and available data. Unrealistic research problems can hinder the progress of your study.
• Refining the Research Problem: It is common for the research problem to evolve as you delve deeper into your study. Don’t be afraid to refine and revise your research problem if necessary. Seek feedback from colleagues, mentors, and experts in your field to ensure the strength and relevance of your research problem.

How Do You Write a Research Problem?

Steps to consider in writing a Research Problem:

• Select a Topic: The first step in writing a research problem is to select a specific topic of interest within your field of study. This topic should be relevant, and meaningful, and have the potential to contribute to existing knowledge.
• Conduct a Literature Review: Before formulating your research problem, conduct a thorough literature review to understand the current state of research on your chosen topic. This will help you identify gaps, controversies, or areas that need further exploration.
• Identify the Research Gap: Based on your literature review, pinpoint the specific gap or problem that your research aims to address. This gap should be something that has not been adequately studied or resolved in previous research.
• Be Specific and Clear: The research problem should be framed in a clear and concise manner. It should be specific enough to guide your research but broad enough to allow for meaningful investigation.
• Ensure Feasibility: Consider the resources and constraints available to you when formulating the research problem. Ensure that it is feasible to address the problem within the scope of your study.
• Align your Research Goals: The research problem should align with the overall goals and objectives of your study. It should be directly related to the research questions you intend to answer.

Related: How to Write a Problem Statement for your Research

Research Problem vs Research Questions

Research Problem: The research problem is a broad statement that outlines the overarching issue or gap in knowledge that your research aims to address. It provides the context and motivation for your study and helps establish its significance and relevance. The research problem is typically stated in the introduction section of your research proposal or thesis.

Research Questions: Research questions are specific inquiries that you seek to answer through your research. These questions are derived from the research problem and help guide the focus of your study. They are often more detailed and narrow in scope compared to the research problem. Research questions are usually listed in the methodology section of your research proposal or thesis.

Difference Between a Research Problem and a Research Topic

Research Problem: A research problem is a specific issue, gap, or question that requires investigation and can be addressed through research. It is a clearly defined and focused problem that the researcher aims to solve or explore. The research problem provides the context and rationale for the study and guides the research process. It is usually stated as a question or a statement in the introduction section of a research proposal or thesis.

Example of a Research Problem: “ What are the factors influencing consumer purchasing decisions in the online retail industry ?”

Research Topic: A research topic, on the other hand, is a broader subject or area of interest within a particular field of study. It is a general idea or subject that the researcher wants to explore in their research. The research topic is more general and does not yet specify a specific problem or question to be addressed. It serves as the starting point for the research, and the researcher further refines it to formulate a specific research problem.

Example of a Research Topic: “ Consumer behavior in the online retail industry.”

In summary, a research topic is a general area of interest, while a research problem is a specific issue or question within that area that the researcher aims to investigate.

Difference Between a Research Problem and Problem Statement

Research Problem: As explained earlier, a research problem is a specific issue, gap, or question that you as a researcher aim to address through your research. It is a clear and concise statement that defines the focus of the study and provides a rationale for why it is worth investigating.

Example of a Research Problem: “What is the impact of social media usage on the mental health and well-being of adolescents?”

Problem Statement: The problem statement, on the other hand, is a brief and clear description of the problem that you want to solve or investigate. It is more focused and specific than the research problem and provides a snapshot of the main issue being addressed.

Example of a Problem Statement: “ The purpose of this study is to examine the relationship between social media usage and the mental health outcomes of adolescents, with a focus on depression, anxiety, and self-esteem.”

In summary, a research problem is the broader issue or question guiding the study, while the problem statement is a concise description of the specific problem being addressed in the research. The problem statement is usually found in the introduction section of a research proposal or thesis.

Challenges and Considerations

Formulating a research problem involves several challenges and considerations that researchers should carefully address:

• Feasibility: Before you finalize a research problem, it is crucial to assess its feasibility. Consider the availability of resources, time, and expertise required to conduct the research. Evaluate potential constraints and determine if the research problem can be realistically tackled within the given limitations.
• Novelty and Contribution: A well-crafted research problem should aim to contribute to existing knowledge in the field. Ensure that your research problem addresses a gap in the literature or provides innovative insights. Review past studies to understand what has already been done and how your research can build upon or offer something new.
• Ethical and Social Implications: Take into account the ethical and social implications of your research problem. Research involving human subjects or sensitive topics requires ethical considerations. Consider the potential impact of your research on individuals, communities, or society as a whole. 
• Scope and Focus: Be mindful of the scope of your research problem. A problem that is too broad may be challenging to address comprehensively, while one that is too narrow might limit the significance of the findings. Strike a balance between a focused research problem that can be thoroughly investigated and one that has broader implications.
• Clear Objectives: Ensure that your research problem aligns with specific research objectives. Clearly define what you intend to achieve through your study. Having well-defined objectives will help you stay on track and maintain clarity throughout the research process.
• Relevance and Significance: Consider the relevance and significance of your research problem in the context of your field of study. Assess its potential implications for theory, practice, or policymaking. A research problem that addresses important questions and has practical implications is more likely to be valuable to the academic community and beyond.
• Stakeholder Involvement: In some cases, involving relevant stakeholders early in the process of formulating a research problem can be beneficial. This could include experts in the field, practitioners, or individuals who may be impacted by the research. Their input can provide valuable insights that can help you enhance the quality of the research problem.

In conclusion, understanding how to formulate a research problem is fundamental for you to have meaningful research and intellectual growth. Remember that a well-crafted research problem serves as the foundation for groundbreaking discoveries and advancements in various fields. It not only enhances the credibility and relevance of your study but also contributes to the expansion of knowledge and the betterment of society.

Therefore, put more effort into the process of identifying and formulating research problems with enthusiasm and curiosity. Engage in comprehensive literature reviews, observe your surroundings, and reflect on the gaps in existing knowledge. Lastly, don’t forget to be mindful of the challenges and considerations, and ensure your research problem aligns with clear objectives and ethical principles.

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How to formulate research problems?

June 16, 2023 4 min read

One of the most important steps in the research process is formulating a research problem. It establishes the framework for the whole study and directs the researcher in determining the research’s emphasis, scope, and goals. An effective research technique may be created with the support of a clearly defined research topic, which also aids in the generation of pertinent research questions.

This article will provide a general overview of the procedure involved in defining research problems, highlighting important considerations and steps researchers should take to formulate precise and insightful research problems.

What is a research problem?

It refers to a specific topic, problem, or knowledge gap that a researcher aims to study and address through a systematic inquiry. It establishes the foundation for a research project and guides the entire investigation.

When creating a research problem, researchers often start with a topic of interest before focusing on a particular issue or question. A substantial, relevant, and original challenge adds to the corpus of knowledge and has real-world applications.

A clearly stated research topic aids in the concentration of research resources and efforts, permits the development of an effective research technique, and directs the evaluation and interpretation of data acquired. It also helps in developing research goals and hypotheses by giving the investigation a distinct direction.

For instance, a research problem could be “What are the causes leading to the decline of bee populations in urban areas?” — This study challenge addresses a particular set of urban regions and draws attention to the problem of dwindling bee numbers. By focusing on this issue, researchers may analyze the various reasons for the loss, analyze how it affects the environment, and suggest conservation tactics.

Characteristics of an effective research problem

An effective research problem possesses several essential qualities that enhance its quality and suitability for examination. The key characteristics of a strong research problem are:

Significance

Should address an important issue or knowledge gap in the field of study, contributing to the existing body of knowledge.

Should be precisely stated, avoiding vague or overly general statements and providing a clear and concise description. This clarity enables the definition of research objectives and hypotheses and guides the research process.

Feasibility

Should be feasible in terms of the available time, resources, and skills. It can be realistically pursued, given the researcher’s capabilities and study circumstances. Sufficient data, research tools, and potential exploration paths should be reasonably accessible.

Should explore new facets, angles, or dimensions of the subject, offering fresh perspectives or approaches. This characteristic promotes intellectual progress and distinguishes the research from previous investigations.

Measurability

Should be formulated in a way that allows for empirical examination and the generation of quantifiable results. Data can be systematically collected and analyzed to answer the research questions or achieve the research goals, enhancing the objectivity and rigor of the research process.

Relevance and applicability

Should address relevant issues or help develop useful guidelines, regulations, or actions. It is more effective when it impacts multiple stakeholders and has the potential to produce practical results.

Interest and motivation

Should be intellectually engaging and interesting to the researcher and the academic community. It sparks curiosity and encourages further research, leading to high-quality research output.

Ethical consideration

Should adhere to ethical principles and rules, considering the welfare and rights of participants or subjects involved in the study.

ALSO READ: What is research design?

Types of research problems.

Research problems can be categorized into different types based on their nature and scope. The three most common types are:

Theoretical

It involves using theoretical frameworks, concepts, and models to investigate a subject or event. Theoretical research aims to extend existing knowledge, address unsolved disputes or gaps, or critique and evaluate preexisting theories.

It focuses on specific problems or challenges within a particular industry or sector and aims to provide practical solutions through systematic research. Applied research aims to bridge the gap between theory and practical application, optimizing existing processes, technologies, products, or services.

Action research combines research and action to address real-world issues. It encompasses problem-solving in various contexts, such as organizations, education, community development, policy implementation, and personal or professional development. Action research is flexible and can be tailored to different situations and issues.

Importance of research problems

Research problems play a vital role in shaping the direction and course of an investigation. They serve as the foundation for the entire research process, guiding researchers in their pursuit of knowledge and advancement in a specific field. The importance of research problems lies in the following:

Identifying knowledge gaps

Research problems help identify areas where knowledge is lacking or incomplete, highlighting the need for further investigation and addressing unanswered questions.

Providing direction

A well-defined research problem gives the research project focus and direction. It aids in the development of an effective research design, technique and the establishment of research objectives and questions.

Justifying the study’s significance

A clear research problem helps researchers justify the value and importance of their study by emphasizing its relevance, potential benefits, and contributions to the field.

Facilitating problem-solving and decision-making

Research problems often stem from real-world challenges or problems. By examining these problems, researchers can develop innovative ideas, methods, or strategies to solve practical issues or guide decision-making.

Advancing theory and knowledge

Research problems serve as a basis for developing new concepts, hypotheses, or models. By addressing research challenges, researchers contribute to understanding a subject, debunk preexisting beliefs, or propose new hypotheses.

Promoting intellectual curiosity and innovation

Research problems encourage intellectual curiosity and innovation by pushing researchers to explore fresh perspectives and methodologies. By encouraging critical thinking, generating original ideas, and developing unique research approaches, research problems foster innovation and creativity.

ALSO READ: The basics of market research

5 steps to formulate research problems.

Formulating research problems is a crucial initial step in conducting purposeful and targeted research. Here are five steps to follow:

Identify the broad research area

Determine the broad subject or field that interests you, considering discipline-specific topics or specific phenomena.

Conduct a literature review

Review existing literature and research in your chosen field to understand the current knowledge level and identify gaps or unsolved issues and areas requiring further research. Read relevant scholarly publications, books, and articles to gain a comprehensive understanding.

Narrow down the focus

Based on the literature review, select a specific component or subject within your chosen research field. Look for inconsistencies, contradictions, or open-ended questions in the existing literature that can present challenges for future research. Refine your research topic and focus it on a single problem or phenomenon.

Define clear objectives

Establish clear and concise research objectives that outline your investigation’s specific aims or outcomes. SMART (specific, measurable, attainable, relevant, and time-bound) objectives help maintain focus and guide the research process effectively.

Formulate research questions

Create distinct research questions or hypotheses that align with your research problem and objectives. Qualitative research often utilizes research questions, while quantitative research employs hypotheses. Ensure these inquiries or hypotheses are precise, concise, and aimed at addressing the stated research problem.

Remember that formulating research problems is an iterative process. As you learn more about the topic and develop new ideas, it can need several changes and improvements. You may establish a solid basis for your study and improve your chances of performing fruitful and influential research by adhering to these recommendations and continually improving your research problem.

Researchers can create precise and insightful research problems that add to the body of knowledge and progress in their particular fields of study by using the procedures described in this article. A research problem outlines the precise field of inquiry and knowledge gaps that the research attempts to address, defining the scope and objective of a study.

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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.

Prevent plagiarism, run a free check.

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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McCombes, S. & George, T. (2022, November 08). How to Define a Research Problem | Ideas & Examples. Scribbr. Retrieved 21 October 2024, from https://www.scribbr.co.uk/the-research-process/define-research-problem/

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Research Problem Statement — Find out how to write an impactful one!

Table of Contents

What Is a Research Problem Statement?

A research problem statement is a clear, concise, and specific statement that describes the issue or problem that the research project addresses. It should be written in a way that is easily understandable to both experts and non-experts in the field.

To write a research problem statement, you should:

• Identify the general area of interest: Start by identifying the general area of research that interests you.
• Define the specific problem: Narrow down the general area of interest to a specific problem or issue.
• Explain the significance of the problem: Provide context for the problem by explaining why it is important to study and what gap in current knowledge or understanding it fills.
• Provide a clear and concise statement: State the problem in a clear and concise manner, making sure to use language that is easily understood by your intended audience.
• Use a scientific and objective tone: The problem statement should be written in a neutral and objective tone, avoiding any subjective language and personal bias .

An Example of a Research Problem Statement

“The increasing prevalence of obesity in children is a growing public health concern. Despite the availability of information on healthy eating and physical activity, many children are still not engaging in healthy lifestyle behaviors. The problem this study addresses is the lack of understanding of the barriers and facilitators to healthy lifestyle behaviors in children.”

When to Write a Problem Statement in Research?

A research problem statement should be written at the beginning of the research process, before any data collection or analysis takes place. This is because the statement sets the foundation for the entire research project by clearly defining the problem that the research is trying to address.

Writing a problem statement early in the research process helps to guide the research design and methodology , and ensures that the research is focused on addressing the specific problem at hand. It also helps to ensure that the research is relevant and addresses a gap in current knowledge or understanding.

In addition, a well-written problem statement effectively communicates the purpose and significance of the research to potential funders, collaborators, and other stakeholders. It also generates interest and support for the research project.

It’s also important to note that, during the research process, the statement can be refined or updated as new information is discovered or as the research progresses. This is normal and it’s a good idea to revise the statement as needed to ensure that it remains clear and concise and that it accurately reflects the current focus of the research project.

What Does a Research Problem Statement Include?

A research problem statement typically includes the following elements:

1. The research topic:

The general area of interest or field of study that the research project addresses.

2. The specific problem or issue:

A clear and concise statement of the problem or issue that the research project aims to address.

3. The significance of the problem:

A discussion of why the problem is important and what gap in current knowledge or understanding it fills.

4. The research questions:

A set of questions that the research project aims to answer, in order to address the problem or issue.

5. The research objectives:

A set of specific and measurable objectives that the research project aims to achieve.

6. The scope of the research:

A description of the specific population, setting, or context that the research project will focus on.

7. The theoretical framework:

A discussion of the theoretical concepts and principles that inform the research project.

8. The research design:

A description of the research methodologies that will be used to collect and analyze data in order to address the research questions and objectives.

It’s important to note that the problem statement is usually brief and concise, typically a few sentences or a short paragraph. But it should provide enough information to convey the main idea of the research project.

Important Features of Research Problem Statement

The problem statement should be clear and easy to understand. Write it in a way that is accessible to both experts and non-experts in the field.

2. Specificity

The statement should be specific and clearly define the problem or issue that the research project aims to address. It should be narrow enough to be manageable, but broad enough to be of interest to others in the field.

3. Significance

The statement should explain why the problem is important and what gap in current knowledge or understanding it fills. It should provide context for the research project and help to justify its importance.

4. Relevance

The statement should be relevant to the field of study and address an issue that is currently of concern to researchers.

5. Research questions

The statement should include a set of research questions that the research project aims to answer in order to address the problem or issue.

6. Research objectives

The statement should include a set of specific and measurable objectives that the research project aims to achieve.

The statement should define the specific population, setting, or context that the research project will focus on.

8. Theoretical framework

The statement should provide an overview of the theoretical concepts and principles that inform the research project.

9. Research design

The statement should provide an overview of the research methodologies. This will be useful collect and analyze data in order to address the research questions and objectives.

Difference Between a Thesis Statement and a Problem Statement

A thesis statement and a problem statement are related but distinct elements of a research project.

A thesis statement is a statement that summarizes the central argument or claim of a research paper or essay. It presents the main idea of the paper and sets the direction for the rest of the content. It’s usually located at the end of the introduction, and it’s often one sentence.

A problem statement, on the other hand, is a statement that describes a specific problem or issue that the research project aims to address. It sets the foundation for the entire research project by clearly defining the research problem. It is usually located at the beginning of a research paper or proposal, and is of one or a few paragraphs.

In summary, a thesis statement is a summary of the main point or key argument of the research paper. A problem statement describes the specific issue that the research project aims to address. A thesis statement is more focused on the final outcome of the research. While a problem statement is focused on the current state of knowledge and the gap in understanding that the research project aims to fill.

In Conclusion

A problem statement is a critical component of the research project, as it provides a clear and concise roadmap for the research, and helps to ensure that the research is well-designed and addresses a significant and relevant issue.

We hope this blog has clarified your doubts and confusion associated with research problem statement and helps you write an effective statement for your research project!

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What is Research Problem? Components, Identifying, Formulating,

• Post last modified: 13 August 2023
• Reading time: 10 mins read
• Post category: Research Methodology

What is Research Problem?

A research problem refers to an area or issue that requires investigation, analysis, and resolution through a systematic and scientific approach. It is a specific question, gap, or challenge within a particular field of study that researchers aim to address through their research endeavors.

Table of Content

• 1 What is Research Problem?
• 2 Concept of a Research Problem
• 3 Need to Define a Research Problem
• 4 Conditions and Components of a Research Problem
• 5 Identifying a Research Problem
• 6 Formulating a Research Problem

Concept of a Research Problem

The first step in any research project is to identify the problem. When we specifically talk about research related to a business organisation, the first step is to identify the problem that is being faced by the concerned organisation. The researchers need to develop a concrete, unambiguous and easily comprehensible definition of the problem that requires research.

If the research problem is not well-defined, the research project may be affected. You may also consider defining research problem and carrying out literature review as the foundation on which the entire research process is based.

In general, a research problem refers to a problem that a researcher has witnessed or experienced in a theoretical or real-life situation and wants to develop a solution for the same. The research problem is only a problem statement and it does not describe how to do something. It must be remembered that a research problem is always related to some kind of management dilemma

Need to Define a Research Problem

The researchers must clearly define or formulate the research problem in order to represent a clear picture of what they wish to achieve through their research. When a researcher starts off his research with a well-formulated research problem, it becomes easier to carry out the research.

Some of the major reasons for which a research problem must be defined are:

• Select useful information for research
• Segregate useful information from irrelevant information
• Monitor the research progress
• Ensure research is centred around a problem
• What data should be collected?
• What data attributes are relevant and need to be analysed?
• What relationships should be investigated?
• Determine the structure of the study
• Ensure that the research is centred around the research problem only

Defining a research problem well helps the decision makers in getting good research results if right questions are asked. On the contrary, correct answer to a wrong question will lead to bad research results.

Conditions and Components of a Research Problem

Conditions necessary for the existence of a research problem are:

• Existence of a problem whose solution is not known currently
• Existence of an individual, group or organisation to which the given problem can be attributed
• Existence of at least two alternative courses of action that can be pursued by a researcher
• At least two feasible outcomes of the course of action and out of two outcomes, one outcome should be more preferable to the other

A research problem consists of certain specific components as follows:

• Manager/Decision-maker (individual/group/institution) and his/ her objectives The individual, group or an institution is the one who is facing the problem. At times, the different individuals or groups related to a problem do not agree with the problem statement as their objectives differ from one another. The decision makers must agree on a concrete and clearly worded problem statemen.
• Environment or context of the problem
• Nature of the problem
• Alternative courses of problem
• A set of consequences related to courses of action and the occurrence of events that are not under the control of the manager/decision maker
• A state of uncertainty for which a course of action is best

Identifying a Research Problem

Identifying a research problem is an important and time-consuming activity. Research problem identification involves understanding the given social problem that needs to be investigated in order to solve it. In most cases, the researchers usually identify a research problem by using their observation, knowledge, wisdom and skills. Identifying a research problem can be as simple as recognising the difficulties and problems in your workplace.

Certain other factors that are considered while identifying a research problem include:

• Potential research problems raised at the end of journal articles
• Large-scale reports and data records in the field may disclose the findings or facts based on data that require further investigation
• Personal interest of the researcher
• Knowledge and competence of the researcher
• Availability of resources such as large-scale data collection, time and finance
• Relative importance of different problems
• Practical utility of finding answers to a problem
• Data availability for a problem

Formulating a Research Problem

Formulating a research problem is usually done under the first step of research process, i.e., defining the research problem. Identification, clarification and formulation of a research problem is done using different steps as:

• Discover the Management Dilemma
• Define the Management Question
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• Refine the Research Question(s)

You have already studied why it is important to clarify a research question. The next step is to discover the management dilemma. The entire research process starts with a management dilemma. For instance, an organisation facing increasing number of customer complaints may want to carry out research.

At most times, the researchers state the management dilemma followed by developing questions which are then broken down into specific set of questions. Management dilemma, in most cases, is a symptom of the actual problem being faced by an organisation.

A few examples of management dilemma are low turnover, high attrition, high product defect rate, low quality, increasing costs, decreasing profits, low employee morale, high absenteeism, flexibility and remote work issues, use of technology, increasing market share of a competitor, decline in plant/production capacity, distribution of profit between dividends and retained earnings, etc.

If an organisation tracks its performance indicators on a regular basis, it is quite easy to identify the management dilemma. Now, the difficult task for a researcher to choose a particular management dilemma among the given set of management dilemmas.

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Lean Six Sigma

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Supply Chain

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• What is Warehousing?
• What is Packaging?
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• What is Material Handling?
• What is Order Picking?
• Receiving and Dispatch, Processes
• What is Warehouse Design?
• What is Warehousing Costs?

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Self-Esteem and Self-Compassion: A Narrative Review and Meta-Analysis on Their Links to Psychological Problems and Well-Being

Peter muris, henry otgaar.

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Correspondence: Peter Muris, Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, P.O. Box 616, Maastricht, 6200 MD, the Netherlands, Email [email protected]

Received 2023 Jun 8; Accepted 2023 Jul 30; Collection date 2023.

This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/ ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php ).

The present review addressed the relationship between two self-related concepts that are assumed to play a role in human resilience and well-being: self-esteem and self-compassion. Besides a theoretical exploration of both concepts, a meta-analysis ( k = 76, N = 35,537 participants) was conducted to examine the magnitude of the relation between self-esteem and self-compassion and their links to indices of well-being and psychological problems. The average correlation between self-esteem and self-compassion was strong ( r = 0.65, effect size = 0.71), suggesting that – despite some distinct features – the overlap between both self-related constructs is considerable. Self-esteem and self-compassion displayed relations of a similar magnitude to measures of well-being and psychological problems, and both concepts accounted for unique variance in these measures once controlling for their shared variance. Self-esteem and self-compassion can best be seen as complementary concepts and we invite researchers to look more at their joint protective role within a context of well-being and mental health as well as to their additive value in the treatment of people with psychological problems.

Keywords: self-esteem, self-compassion, resilience, well-being, psychological problems, interventions

Introduction

William James already described “selfhood” as an essential concept of human psychology. He divided the self into two parts: the “Me”, which refers to people’s reflections about themselves (ie, subjective perceptions of personal characteristics, eg, defining oneself as “rich”, “introvert”, or “intelligent”), and the “I”, which refers to the thinking self that knows who one is or what he/she has been doing in the current and past (also known as the mind). 1 Ever since, many scholars attempted to conceptualize the self, 2 varying from rather concrete descriptions, such as “a collection of abilities, temperament, goals, values, preferences that distinguish one individual from another” 3 to more abstract conceptualizations involving the dynamic self-constructive process of one’s identity as a result of reflexive activities involving thinking, being aware of thinking, and taking the self as an object of thinking. 4 Many self-related constructs, processes, and phenomena have been described in the psychological literature, 5 but within the field of mental health and psychopathology, two concepts have received a considerable amount of empirical attention: self-esteem and self-compassion.

Self-esteem and self-compassion reflect an affectively and/or cognitively charged attitude or response to the self. The nature of both constructs is fundamentally positive, meaning that persons with high levels of self-esteem and self-compassion ought to display greater resilience and higher levels of well-being, and hence lower levels of all kinds of mental health problems. Despite their conceptual overlap, there exist a number of differences between self-esteem and self-compassion. 6 The present review article is focused on the relationship between self-esteem and self-compassion. We will first describe both concepts independently from a more theoretical perspective and address their protective role within the context of mental health and psychopathology. Next, we will focus on the link between self-esteem and self-compassion thereby addressing similarities as well as dissimilarities. The review is not only qualitative in nature, but also includes a meta-analysis to assess the strength of the relation between self-esteem and self-compassion as well as to examine the (unique) links between both self-related concepts on the one hand and indices of well-being and psychopathology on the other hand. Furthermore, we will discuss to what extent self-esteem and self-compassion are susceptible to change and hence might be a suitable target for psychological interventions. Finally, we will provide a brief summary of our findings and address the role and importance of both self-related constructs for understanding human resilience and well-being.

Self-Esteem

Self-esteem refers to an affectively laden evaluation of the self. 7 More specifically, this construct refers to “an individual’s subjective evaluation of his or her worth as a person”. 8 This is defined by a person’s perception of his/her abilities and qualities in various domains, including intellect, work performance, social skills, physical appearance, and athletics. It is important to emphasize that self-esteem does not necessarily reflect the actual abilities or features of a person but mainly refers to how a person thinks or feels about these qualities and characteristics. There is concrete evidence that the concept reflects a trait-like variable that is relatively stable across time. For example, Kuster and Orth 9 conducted a longitudinal study with repeated measurements taken from adolescence to old age and showed that

self-esteem does not fluctuate continuously over time in response to the inevitable mix of successes and failures we all experience as we go through life [but has] a level of stability that is comparable to that of basic personality characteristics such as neuroticism and extraversion.

Their data indicated that one can foretell a person’s relative level of self-esteem (as compared to other people, eg, high versus low) across decades of life. 8

Regarding the function of self-esteem, three main perspectives have been proposed. First, the self-determination perspective assumes that self-esteem serves a motivational function that prompts people to take care of themselves and to explore and reach their full potential. 10 A distinction is made between contingent self-esteem, which refers to positive feelings and thoughts about oneself that are dependent on some achievement or fulfilment of expectations, and true self-esteem, which pertains to a stable, securely based, and solid sense of the self. Or in other words: The person is comfortable with whom he/she is and how others will perceive him/her and is no longer involved in a process of critical self-evaluation. Both types of self-esteem are related to human motivation. Contingent self-esteem is predominantly linked with extrinsic motivation: A good sense of the self is achieved because one engages in activities that will yield a reward or avoid punishment, whereas true self-esteem is typically associated with intrinsic motivation: Positive feelings of self-worth are elicited when performing activities that match one’s personal needs and values.

The second perspective on the function of self-esteem is subsumed under the terror management theory. 11 According to this perspective, human beings can be distinguished from other species because they can reflect on the fact that the world in which they live is an uncontrollable, absurd setting in which their own impeding death is the only inevitable certainty. To cope with this mortality salience, people have developed a cultural worldview that is infused by order, predictability, meaning, and continuity. Terror management theory postulates that self-esteem refers to a sense of personal value that is grounded in beliefs about the validity of the worldview and the extent to which one can abide to the cultural standards of that worldview, which would function as a buffer against the fear of death. 12 People with high self-esteem have a more positive and less fatalistic attitude towards life than people with low self-esteem, and hence are better able to deal with everyday reminders of their death and the finiteness of life.

The third account is the sociometer perspective that views self-esteem as an innate monitoring system that measures a person’s relational value to other people, or in more concrete words: “the degree to which other people regard their relationship with the individual to be valuable, important, or close”. 13 When self-esteem is high, the person has the idea that he/she is valued by others as a respectable and worthy individual and this will fuel behaviours that serve to maintain and enhance relationships with other people in order to preserve this social status. In contrast, when self-esteem is low, the person perceives that his/her social position is on the line, which evokes an emotional response as an alarm signal that prompts behaviours to gain and restore relations with others. Thus, according to sociometer perspective, self-esteem is viewed as an affect-driven meter that continuously monitors and reacts to signs of social acceptance and rejection. This monitoring system would have evolutionary roots because relationships with other people are an important asset promoting survival. 14

Self-Esteem and Life Outcomes

Whether conceiving self-esteem as a vehicle of motivation, a buffer against the fear of death, or a social thermometer, all these functional accounts align with the notion that the construct has a positive nature and hence may promote psychological well-being and protect against mental health problems. Although some scholars are rather critical and sceptic about the presumed benefits of self-esteem, arguing that its merits are quite limited and that there are even downsides of having (too) much confidence in one’s worth, 15 there is a voluminous amount of empirical work supporting its association with positive outcomes. For instance, in an influential large-scale study including more than 13,000 college students in 31 countries from all over the world, self-esteem correlated positively with life satisfaction (with an average r of 0.44), 16 meaning that the more participants were content with themselves, the stronger they indicated being happy with their life. As another example, Chen et al 17 conducted a meta-analysis to examine the relationship between self-esteem and depression. Using the data of 50 cross-sectional studies conducted in Taiwan, a mean correlation of −0.48 was detected, indicating that higher levels of self-esteem were associated with lower levels of this type of emotional psychopathology. In a recent comprehensive meta-analytic review of the literature, Orth and Robbins 18 drew up the balance and concluded that

high self-esteem helps individuals adapt to and succeed in a variety of life domains, including having more satisfying relationships, performing better at school and work, enjoying improved mental and physical health, and refraining from antisocial behaviour.

Self-Compassion

Self-compassion refers to how people treat themselves when they encounter failure, deficiencies, or suffering in their personal life. According to the widely used definition of Neff, 19 the construct consists of three key elements: (1) self-kindness, which refers to being warm, kind, and understanding towards oneself in times of adversity; (2) common humanity, which pertains to the acknowledgment that all human beings face challenges in life and hence are subject to drawbacks and suffering; and (3) mindfulness, which has to do with an awareness of personal discomfort while maintaining the perspective on other more positive aspects in life. In general, self-compassion entails displaying a positive and healthy attitude to the self, which enables the individual to deal effectively with the usual setbacks in human existence. 20

About the functionality of self-compassion, Gilbert 21 conceptualized the construct in evolutionary terms. This scholar initially focused on compassion, which he viewed as a motivational system to regulate the negative affect of other people through engagement in supportive and affiliative actions that ultimately serve to maintain the group bonding and as such the survival of the species. Because human beings gradually developed the mental capacity to reflect on themselves, they can also deploy compassion towards the self in case they encounter setbacks and associated negative emotions. This self-compassion enables them to effectively cope with such emotional dysregulation ensuring their full participation in social life.

In a recent review of the literature, Strauss et al 22 concluded that

[self-]compassion is a complex construct that includes emotion but is more than an emotion, as it includes perceptiveness or sensitivity to suffering, understanding of its universality, acceptance, non-judgment, and distress tolerance, and intentions to act in helpful ways.

In view of these elements, one might expect that self-compassion tends to fluctuate over time and across situations, but there are clear indications that the construct – just like self-esteem – is quite stable and thus can best be seen as a trait-like individual difference variable. 23

Self-Compassion and Life Outcomes

Since its introduction in the psychological literature, many studies have been conducted investigating the positive effects of self-compassion. For example, Zessin et al 24 conducted a meta-analysis examining the relationship between self-compassion and various types of well-being, such as happiness, positive affect, optimism, life satisfaction, health, belongingness, and autonomy. Combining the results of 79 samples that included a total of 16,416 participants, an overall positive effect size of 0.47 was found with higher levels of self-compassion being generally accompanied by higher levels of well-being. This suggests that a caring attitude towards oneself when facing adversity serves to maintain a sense of feeling comfortable, happy, and healthy in life. In a similar vein, MacBeth and Gumley 25 synthesized the findings of 14 studies linking self-compassion to indices of psychopathology to obtain an average effect size of r = –0.54. This demonstrates that higher levels of this self-related trait are associated with lower symptom levels of anxiety, stress, and depression, and is in line with the notion that self-compassion may immunize individuals from developing psychological problems. 26

(Dis)similarities Between Self-Esteem and Self-Compassion

Self-esteem is a concept with a fairly long research tradition: especially after Rosenberg published his seminal book in the mid-1960s, 27 which also included a comprehensive scale for measuring the construct, psychologists increasingly focused on this construct in their research. This steadily culminated in an annual amount of more than 600 publications and over 26,000 citations in 2022 (in Web-of-Science using [“self-esteem” in title] as the search term), which makes self-esteem currently one of the most frequently studied concepts in psychology. The construct of self-compassion was introduced only at the beginning of the 21st century when Neff published her first papers on the topic, 20 , 28 but its popularity is still clearly on the rise (reaching 382 publications and 10,123 citations in 2022). 19 , 29 It is important to note here that the concept of self-compassion was partly introduced because of dissatisfaction with the construct of self-esteem. Specifically, critical scholars argued that because self-esteem is largely contingent on responses of others and events happening in life, the concept was argued to have little predictive value. It would merely reflect social status and personal failure or success, and as such it is hardly surprising that people who are marginalized, face a lot of adversity in life (eg, abuse and neglect), and suffer from psychopathological conditions, also display low levels of self-esteem. 15 , 30 Moreover, questions were raised regarding the malleability of (low) self-esteem: for example, positive feedback, flattering, and praise are difficult to reconcile with the negative picture that people (sometimes) have about themselves and hence do not automatically result in a more positive self-view. 20 Self-compassion is assumed to not have these drawbacks: This trait would be less dependent on the proceedings of life and is also thought to be more mouldable, making it a suitable target for intervention. 19

Whether the critical attitude towards self-esteem and the positive stance towards self-compassion is all justified, is still a matter of debate. 18 , 29 Fact is that both self-related concepts also share a number of important features. That is, as noted earlier, both are trait-like variables that refer to a benign psychological attribute of human beings characterized by a positive reflection about the self. Furthermore, from a theoretical point-of-view, they are both thought to promote adaptive and prosocial behaviour and as such are generally considered to be protective in nature, boosting the person’s positive affect and well-being, and preventing the development of psychological problems.

Despite these commonalities, there are also a number of notable differences between self-esteem and self-compassion. First of all, the relationship with the self is not the same for both concepts. That is, whereas self-esteem pertains to a positive evaluation of the self as compared to others or in the light of some general normative standard, self-compassion concerns a positive attitude towards the self when facing difficulties, without making any evaluative or comparative judgments. 19 Second, self-esteem is more concerned with a cognitive appraisal process that – although initiating defensive reactions to maintain or even improve one’s sense of worth – by itself does not incorporate any coping mechanism. 31 , 32 In contrast, self-compassion incorporates a positive action tendency: 22 cognitive strategies, such as positive self-talk and cognitive reappraisal strategies are deployed to alleviate the suffering. 33 Third and finally, self-esteem and self-compassion are thought to be mediated by different brain-based systems. 34 , 35 In terms of Gilbert’s social mentalities theory, 21 , 36 self-esteem seems to be more associated with an activation of the sympathetic threat system, which alerts the person for possible downward social mobility and inferiority and instigates operations of agency and competition. In contrast, self-compassion would reflect an activation of the parasympathetic soothing system, which aims to regulate negative emotions by seeking support and connection with others. 6 , 37

Meta-Analytic Intermezzo

Given the similarities between self-esteem and self-compassion, while also acknowledging their differences, it can be expected that both constructs will be “moderately correlated”. 6 Furthermore, there is a tendency in the literature to depict self-compassion as the more beneficial psychological concept, 19 , 20 , 37 and so it can be predicted that self-compassion will show more robust links to indices of well-being and show greater potential for shielding against stress and other psychological problems than self-esteem. To empirically test these suppositions, we conducted a meta-analysis which has the advantage of combining the results of multiple scientific studies, thereby providing a more accurate look at these topics. 38

Meta-Analytic Procedure

In the first week of March 2023 (more specific, on March 6, 2023), a literature search was conducted in Web-of-Science with [“self-compassion” in topic] AND [“self-esteem” in topic] as the search terms. The searching period was 2003 (ie, the year that the construct of self-compassion was first referred to in the scientific literature) to 2023. Wilson’s 39 online meta-analysis effect size calculator was used to calculate the Fisher’s z -transformed correlation ( r ) and the accompanying 95% confidence interval (CI) as an effect size indicator for the correlation between self-esteem and self-compassion in each study as well as for the correlations between self-esteem and self-compassion on the one hand and each variable representing well-being or a psychological problem. Fisher’s z -transformed correlations and CIs of multiple well-being or psychological problems indicators were averaged for each study and eventually across all studies. We expected to obtain positive effect sizes for the relations between self-esteem/self-compassion and indices of well-being, whereas we anticipated negative effect sizes between both self-related concepts and measures of psychological problems.

Results of the Meta-Analysis

As can be seen in the PRISMA flow diagram 40 ( Figure 1 ), the literature search yielded 221 hits, which were all inspected for suitability by the first author. Seventy-six papers (including 85 samples) were identified as relevant because they included the correlation between the traits of self-esteem and self-compassion. The Rosenberg Self-Esteem Scale 27 was used in 66 of these studies (86.8%), whereas the Self-Compassion Scale 28 (or its short-form 41 ) was employed in 71 investigations (93.4%), indicating that these self-reports are the dominant measures in this research field. As can be seen in Table 1 , the average correlation between self-esteem and self-compassion was positive and strong: r = 0.65, with an effect size of 0.71. Outcomes were rather heterogeneous [which may have been caused by sample differences (eg, adolescent versus adult, clinical versus non-clinical), and measures of self-esteem and self-compassion used (eg, shortened versus long version, other measures than the Neff and Rosenberg scale)] and the funnel plot ( Figure 2 ) showed some asymmetry (rank correlation: value = −0.23, p = 0.002; regression test: value = −3.21, p = 0.001): This was mainly due to a number of investigations showing a relatively small correlation between self-esteem and self-compassion. However, none of the studies showed a result that was in contrast with the average outcome.

PRISMA flow diagram depicting the selection of articles that were included in the meta-analysis on self-esteem, self-compassion, and psychological problems/well-being.

Results of the Meta-Analysis of Studies on the Relation Between Self-Esteem (SE) and Self-Compassion (SC) and the Relations Between Both Self-Related Constructs and Indices of Well-Being and Psychological Problems

Notes : † Heterogeneity was evaluated by means of the open-source software package Jamovi ( https://www.jamovi.org ). The Q-statistic was significant for all analyses, indicating that the results were heterogeneous across studies.

Funnel plot of the studies reporting on the correlation between self-esteem and self-compassion.

Sixty-nine studies reported on the relations between self-esteem and self-compassion, on the one hand, and variables reflecting aspects of well-being ( k = 45, 46 samples; eg, satisfaction with life, meaning in life, positive affect, belongingness, support, self-control, self-efficacy) and/or psychological problems ( k = 69, 72 samples; eg, anxiety, depression, self-criticism, negative affect, rumination, body dissatisfaction, stress, narcissism, and anger), on the other hand. As can be seen in Table 1 , both self-related constructs displayed comparable relations to indices of well-being and psychological problems. That is, the relations between self-esteem and self-compassion and well-being variables were positive, while the relations with psychological problems were negative, with all average effect sizes being quite large (ie, between |± 0.40| and |± 0.49|). Data showed again considerable heterogeneity (which is not that surprising given the large variety in well-being and psychological problems variables) although the outcomes of individual studies were generally in the same direction as the average outcomes. Note further that the obtained average effect sizes compared well with those found in previous meta-analyses investigating the effects of self-esteem and self-compassion separately. 16 , 17 , 24 , 25

Given the overlap between self-esteem and self-compassion, we conducted an additional analysis using an online second-order partial correlations calculator ( http://vassarstats.net/par2.html ). With this tool, it was possible to compute correlations between self-esteem and self-compassion and other variables, while controlling for the overlap between both self-related traits. The results showed that the links of self-esteem and self-compassion with indices of well-being and psychological problems clearly attenuated when controlling for this shared variance (ie, effect sizes between |± 0.19| and |± 0.30| ( Table 1 and Figure 3 ). However, the effect sizes of the partial correlations were of a similar magnitude for both self-related constructs and remained statistically significant, indicating that self-esteem and self-compassion each accounted for a unique proportion in the variance of well-being and psychological problems measures.

Average effect sizes ( r ) found for the (partial) relations between self-compassion and self-esteem, on the one hand, and indices of well-being and psychological problems, on the other hand.

Altogether, the results of our meta-analysis demonstrate that the relation between self-esteem and self-compassion is quite strong and that the effect size for their correlation should be qualified as “large” rather than “moderate”. 42 This signifies that – despite some unique features – the overlap between both self-related constructs is considerable and implies that in research aiming to explore the relative contributions of self-esteem and self-compassion in the prediction of well-being or psychological problems, these variables will to some extent compete for the same proportion of the variance. Nevertheless, we also noted that even when controlling for their overlap, self-esteem and self-compassion remained significant correlated to indices of well-being and psychological problems. The average effect sizes for their unique contributions were largely comparable, with statistical comparisons even indicating that self-esteem was somewhat stronger correlated to both well-being and psychological problems than self-compassion ( Z ’s being 10.60, p < 0.001 and 6.58, p < 0.001, respectively). Thus, no evidence was obtained to support the claim that self-compassion has more potential as a positive-protective variable than self-esteem.

Further Reflections on the Link Between Self-Esteem and Self-Compassion

The above findings warrant some further elaboration on the relation between self-esteem and self-compassion. The strong correlation points out that these two self-related constructs have much in common: Those who positively evaluate their worth as a person, will also treat themselves with kindness when facing adversities. In particular, it seem plausible that individuals with “true” self-esteem, that is, an authentic sense of self-worth that is not dependent on comparisons with others or fulfilling some general standard, will be more inclined to display self-compassionate responding in times of suffering. 20 There are also empirical data to support this notion. In a longitudinal study, 43 2809 adolescents completed measures of trait self-esteem and self-compassion annually for a period of four years. The results indicated that on each point in time, self-esteem and self-compassion were substantially correlated, and that across time, both self-related constructs demonstrated considerable stability. Most importantly, the data showed that self-esteem emerged as a consistent predictor of self-compassion across the four years of the study, but not vice versa. The researchers concluded that “the capacity to extend compassion toward the self depends on one’s appraisal of worthiness”, 43 which suggests that self-esteem is a more generic positive trait that serves as the basis from which compassionate self-responding may develop.

Measurement issues might also be partially responsible for the observed overlap between self-esteem and self-compassion. The dominant measures in this research field – the Self-Compassion Scale (as well its short version) and the Rosenberg Self-Esteem Scale – not only consist of items that directly measure the intended positive constructs, but also contain items that reflect their negative counterparts, ie, uncompassionate self-responding (including self-criticism, social isolation, and rumination) and lack of self-esteem. 44 , 45 It is unclear to what extent the shared variance between the common self-esteem and self-compassion measures can be attributed to the overlap between the protective elements in both measures or to the reversed scored vulnerability components included in both scales. As an aside, it should also be noted that the inclusion of vulnerability components in measures of self-esteem and self-compassion may undermine their external validity: Relations with indices of positive psychological features of well-being could be constricted, while relations with indices of psychological problems might be inflated. In the self-compassion literature, empirical evidence exists for such an unwanted measurement artifact 29 , 45 , 46 (although it has been consistently trivialized as “the differential effects fallacy” by self-compassion advocates), 19 , 47 but in self-esteem research this issue has been largely neglected. In spite of its widespread use only relatively few scholars have taken interest in studying the unwanted effects of the inclusion of the negatively worded items in the Rosenberg scale, 44 , 48 , 49 and hence this remains a timely and important topic for further scientific inquiry.

Self-Esteem–Enhancing Interventions

Numerous interventions have been proposed that aim to raise people’s self-esteem, but cognitive-behavioural therapy (CBT) is one of the most frequently employed methods. 50 CBT is based on the notion that low self-esteem can best be seen as negative beliefs about the self (eg, “I am not good enough”, “I am not competent”, “I am unlovable”) – that originate from negative life experiences – which prompt maladaptive (ie, avoidant and unhelpful) behaviours. These maladaptive actions are likely to reinforce the negative self-beliefs and eventually the person becomes trapped in a downward spiral of dysfunctional cognition, emotion, and behaviour. During CBT, psychoeducation is provided (to enhance the person’s awareness of this vicious circle), cognitive therapy is applied (to challenge the negative beliefs and to replace these by more realistic and positive beliefs), and adaptive behaviour is practiced and reinforced. Meta-analyses have indicated that CBT is indeed quite successful in promoting self-esteem in clinical and non-clinical populations. 50 , 51

Other interventions that have been applied to boost self-esteem include among others: reminiscence-based therapy, during which positive autobiographical memories are retrieved and discussed (this intervention was originally developed for elderly individuals 52 but can also be applied to younger people); 53 support groups that focus on the discussion of problems and receiving positive feedback and support from peers; 54 art therapy, which involves the deployment of creative activities (such as painting, sculpture, dance, and music) to explore, express, and adjust inner thoughts and feelings, resulting in greater self-understanding and less negative emotion; 55 and evaluative conditioning, which involves a computerized training during which self-related stimuli (eg, “I” or the person’s name) are systematically paired with positively valenced traits and features. 56 All these treatments have indeed been demonstrated useful for enhancing self-esteem, with effect sizes in the small (ie, evaluative conditioning, reminiscence-based therapy) to moderate (ie, support groups, art therapy) range. 50

Positive psychology interventions have also been put forward to promote people’s self-esteem. Such interventions have the purpose to encourage the person to discover and foster his/her character strengths, thereby increasing self-acceptance and self-worth. 57 Compassion-focused treatments are a good example of a positive psychology approach, and this type of intervention has also been explored as a way to enhance self-esteem. 58 For instance, Louis and Reyes 59 developed an online cognitive self-compassion program for promoting self-exploration, self-awareness, self-acceptance, and self-love, positive coping, and emotion-regulation skills in young people. In a first test, the efficacy of the self-compassion program was evaluated in a sample of 192 adolescents aged 11 to 17 years who had been exposed to domestic violence. 60 Half of the adolescents were randomly assigned to the experimental group, whereas the other half was allocated to the waiting list control group. It was found that adolescents in the experimental group showed a substantial increase in self-esteem, and such a positive change was not noted in the control group. Based on this result, the researchers concluded that the online self-compassion program seems to be a useful intervention for enhancing self-esteem in at-risk youth.

Meta-analyses have indicated that in both child and adult populations, various types of interventions yielded a positive effect on people’s general self-esteem, with average effect sizes being in the small to moderate range (with d ’s of 0.38 and 0.21). 50 , 61 O’Mara et al 62 obtained a larger effect size ( d = 0.51), but it should be noted that their analysis also included studies that examined the effects of interventions targeting one specific self-concept domain (which appears to be more effective). Interestingly, some interventions (eg, CBT) were more successful in boosting self-esteem than others (eg, reminiscence-based therapy), 50 but compassion-focused treatments certainly belonged to the most powerful ones. 58

Regarding the benefits of self-esteem interventions, two additional remarks are in order. First, most of the research on this topic has focused on self-esteem as the outcome variable, which is logical as promotion of this self-related concept is the primary target. However, self-esteem interventions are typically conducted in people with or at risk for mental health problems (eg, anxiety, depression, aggression). There is no meta-analysis to quantify the effects of self-esteem interventions on these secondary outcomes, but it can be expected that the magnitude of effects is somewhat smaller than that found for the primary outcome measure of self-esteem. 63 Second, it has been put forward that enhancing self-esteem is not only advantageous but may also contain a risk: When levels of self-esteem become inflated and exaggerated, this might take the form of narcissism, 64 which is a frequently used argument for preferring self-compassion over self-esteem interventions. 19 Although research has indicated that self-esteem and narcissism are positively correlated, 65 it has also been noted that this relation is quite weak and that both constructs are different in nature. 66 Moreover, the danger of inadvertently enhancing self-esteem to excessively high levels seems less plausible in clinical settings where most patients display a lower sense of self-worth.

Compassion-Focused Interventions

During the past 20 years, interventions have been developed that focus on the cultivation of compassion, 67 and typically such treatments can also be applied for fostering self-compassion. 68 , 69 Well-known examples are Compassion-Focused Therapy, 70 Mindful Self-Compassion, 71 and Cognitively Based Compassion Training. 72 Although these interventions share a number of features, such as psychoeducation on the role of (self-) compassion for people’s well-being, mindfulness exercises – which promote self-awareness and paying attention to the present moment, without judgment, and active experiential activities during which participants rehearse specific (self-) compassion strategies, there are also notable differences among them that are guided by specific theoretical underpinnings. 73 This implies that there is considerable variation across treatments regarding the competencies that are targeted (eg, empathy, distress tolerance, acceptance) as well as the methods that are employed (eg, meditation, guided imagery, cognitive techniques).

With regard to the efficacy of the self-compassion treatments, two meta-analyses 68 , 69 have demonstrated that such interventions are effective at increasing self-compassion (with g ’s being 0.75 and 0.52, respectively) and decreasing various types of psychopathology indicators, such as anxiety, depression, stress, and rumination (with g ’s in the 0.40–0.67 range). From these findings, it can be concluded that self-compassion is a malleable trait and that engendering compassionate self-responding also has positive effects for people’s well-being and mental health. Furthermore, a comparison of the effect sizes with those of self-esteem interventions yields the impression that it is somewhat easier to increase people’s self-compassion than to boost their self-esteem.

A few studies have directly compared the effects of self-compassion and self-esteem interventions. For example, Leary et al 74 invited participants to write about a negative event that happened to them in the past. The main contrast involved participants who were prompted to think and write about themselves in a self-compassionate manner (by engaging in self-kindness and adopting a common humanity perspective and a mindful point-of-view) versus participants who were guided to think and feel positive about themselves to promote their self-esteem (by focusing on their positive characteristics and interpreting the event in a more positive way). The self-compassion intervention resulted in a more pronounced reduction of negative affect and greater self-acceptance than the self-esteem intervention. Similar results have been obtained in research comparing the efficacy of self-compassion and self-esteem interventions within the context of eating disorders and body dissatisfaction: Self-compassion–inducing writing produced more positive bodily feelings and greater reduction in eating disorder symptoms than self-esteem–inducing writing. 75–77

In conclusion, while these were all studies with non-clinical samples in which a rather simple manipulation of self-compassion and self-esteem was conducted by means of writing exercises, the results nevertheless indicated that induced self-compassion is associated with better outcomes than induced self-esteem. Together with the observation that self-compassion appears easier to generate, one might conclude that interventions targeting this characteristic have greater potential for building resilience and well-being than interventions focusing on self-esteem.

Self-esteem and self-compassion are both constructs that involve a positive attitude towards the self, which are thought to serve psychological resilience and as such play a role in the preservation of people’s mental health and well-being. 78 While self-esteem is already an older concept that has been a topic of psychological investigation for more than half a century, self-compassion was only introduced some 20 years ago during the start of the positive psychology movement. 79 If one wants to introduce a new psychological construct, it is always wise to point out in what way it can be differentiated from or adds something new beyond any existing concept. 80 So, in the first writings on self-compassion, a comparison was made with self-esteem in an attempt to differentiate the two from one another. 20 Basically, four arguments have been advanced in the literature to make the distinction between the two constructs and to contend that self-compassion has incremental value over self-esteem.

The first argument that has been made is that self-esteem and self-compassion would only be “moderately” correlated. 6 , 20 Our meta-analysis, however, showed that the average correlation between measures of these constructs (mostly the Self-Compassion Scale and the Rosenberg scale) was quite substantial: a mean effect size of 0.71 was found, which should be interpreted as “large”. As we do note important differences between self-esteem and self-compassion (eg, self-evaluation versus self-attitude, appraisal versus coping, and sympathetic threat system versus parasympathetic soothing system), it is certainly not our intention to state that they reflect a similar construct. Meanwhile, the attempts to draw a dividing line between self-esteem and self-compassion have led to the absence of a search for a meaningful link among them. The study by Donald et al 43 is interesting and important in this regard as the results suggest that self-esteem is the more basic trait providing the foundation for the more coping-oriented trait of self-compassion. This makes sense: appreciation and love prompt people to act with kindness to others, and in similar vein a sense of self-worth or self-love will enable persons to be kind and compassionate to themselves. We therefore urge for more studies on the commonalities between self-esteem and self-compassion as well as their temporal association.

The second argument refers to the claim that self-compassion continues to explain a significant proportion of the variance in well-being and psychological symptoms after controlling for levels of self-esteem. 6 , 19 , 20 , 37 Such a result would indicate that self-compassion displays a unique link to these external variables that is not accounted for by self-esteem. Our meta-analysis indeed showed that once controlling for the shared variance between both self-related concepts, self-compassion remained significantly associated with indices of well-being and psychological symptoms, which indeed confirms that self-compassion has incremental value over self-esteem. However, the reverse was also true: when controlling for the influence of self-compassion, self-esteem also remained a significant correlate of well-being and psychological symptoms. The effects sizes documented for the independent contributions (partial correlations) to the external variables were comparable for self-esteem and self-compassion, suggesting that – besides communalities – both concepts harbour unique features that are relevant for understanding human resilience.

The third argument is concerned with intervention. It has been noted that because self-esteem is often contingent on the evaluation of others or on the fulfilment of some general standard – which are both factors outside a person’s control, it is difficult to manipulate this self-related trait. In contrast, self-compassion pertains to how people deal with themselves when they encounter adversities in life, thus referring to a personal attitude that would be more susceptible to change. Indeed, when looking at the effect sizes obtained by researchers on the malleability of both self-related traits, the conclusion seems justified that compassionate self-responding is easier to initiate by treatment than generic feelings of self-worth. This may also account for the finding that self-compassion interventions generally produce greater effects than self-esteem interventions. Assuming that self-esteem is the more basic trait that forms the foundation for self-compassion, a comparison arises with other therapeutic interventions. For example, the cognitive behavioural model of psychopathology assumes that people with emotional problems are often bothered by negative automatic thoughts that fuel disturbing emotions and lead to dysfunctional behaviour. The negative automatic thoughts are grounded in underlying personal schemas, which reflect the core beliefs about oneself, others, and the world. In CBT, therapists will usually first try to tackle the negative automatic thoughts, before addressing the fundamental schemas, which are formed early in life and formed by upbringing and prior experiences, are deeply rooted and hence more difficult to change. 81 However, many CBT-oriented therapists currently adhere the notion that in the treatment of persistent emotional disorders, it is essential to not only focus on negative automatic thoughts but also to attend the underlying schemas. 82 This could also be true when trying to improve self-focused characteristics: An initial intervention to improve self-compassion followed by an intervention to ameliorate self-esteem might yield superior and more lasting effects for building people’s resilience and well-being.

The fourth and final argument that has been made for preferring self-compassion over self-esteem has to do with the presumed downside of self-esteem, namely that (too) high levels of this trait are no longer protective but rather take the form of narcissistic tendencies, which have been found to be associated with a host of pathological outcomes. 83 While it is true that self-esteem and narcissism are positively correlated, 65 it should be noted that this link is not that strong and so this risk should not be exaggerated. Our meta-analysis of the relation between self-esteem and psychological problems still indicated a clear-cut protective effect for this self-related trait even though several studies included narcissism as an outcome variable. 6 , 84 , 85 This implies that on average the positive effects mostly outweigh possible downsides of high levels of self-esteem. Moreover, it may well be the case that a strong reliance on self-compassion also comes with drawbacks. For example, it has been noted that high levels of self-compassion may be accompanied by feelings of self-pity and self-indulgence, which would undermine a person’s responsibility for his problems, and interfere with the motivation to try to change the adverse circumstances. 86 There has been a consistent tendency to quickly discard this notion, 19 , 20 but as far as we can see no empirical study can be found that has actually investigated the topic. Certainly, this is an interesting issue for further empirical scrutiny.

To take an advance on the research agenda, Figure 4 depicts a basic model in which self-esteem (true and contextual) and self-compassion (self-kindness and allied adaptive coping strategies) form a psychological buffer that promotes resilience and preserves mental well-being in time of adversity. It is assumed that there is a temporal link between self-esteem and self-compassion, in which the former serves as the foundation of the latter. Interesting, a number of studies have already explored this by testing mediation models in which self-compassion acts as the connecting variable between self-esteem (independent variable) and indices of psychological problems 87 , 88 and well-being 89 (dependent variable). Note also that the model includes potential downsides of both self-related concepts: defensiveness (including narcissistic tendencies) in the case of self-esteem and passivity (in the form of self-indulgence and self-pity) in the case of self-compassion, which may undermine the effectivity of the self-related screen against the drawbacks in life.

Model depicting the presumed role of self-esteem and self-compassion in resilience and well-being.

Final Conclusion

In this paper, we want to put forward that self-esteem and self-compassion are relevant inter-correlated (predominantly) positive constructs that play a role in people’s resilience and maintenance of well-being, and hence provide leads for psychological interventions. Rather than creating a competition – in which it is argued that one construct (ie, self-compassion) is more important than the other (ie, self-esteem), it seems more appropriate to view both concepts as complementary. This would imply that researchers should devote more attention to the unique protective roles of self-esteem and self-compassion within a context of well-being and mental health as well as to their additive value in the treatment of people with psychological problems.

The authors report no conflicts of interest in this work.

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Researchers help decode risk for psychiatric disorders

Jason Stein’s lab in the UNC School of Medicine created a model to identify genetic variants linked to mental illness.

For many years, scientists have known that genetic variants, or differences in DNA code across people, play some role in neurological and psychiatric disorders. But the details were murky. Now researchers at the UNC School of Medicine are using a combination of cell lines and DNA sequencing approaches to look closely at genomes and identify which genetic variants and genes play roles in influencing the risk for neurological and psychiatric disorders.

A research team led by  Jason Stein , associate professor of genetics and member of the  UNC Neuroscience Center , has used a live-cell model system of the human brain to identify the function of genetic variants important for increasing the risk of developing schizophrenia, autism spectrum disorder and bipolar disorder. The results were published in Nature Neuroscience .

“There are hundreds of different locations on our genome that are associated with psychiatric disorders,” said Stein, who is also a member of  UNC Lineberger Comprehensive Cancer Center . “But these locations are in regions of the genome where the function is not well understood. We supposed that some genetic variants function only when stimulated by certain neural pathways important for brain development.”

Jason Stein

Out of our entire genome, just 3% is responsible for creating codes that lead to the formation of proteins — the “machines” that perform needed tasks in our bodies. The other 97% of the genome does not code for proteins. It is in these “noncoding” regions where most genetic variants implicated in psychiatric illness can be found.

Noncoding variants are expected to be similar to light switches. They can “turn on” and “turn off” genes that code for proteins. But finding the precise function of these noncoding genetic variants has proven difficult for researchers because the downstream effects of these genetic variants can only be observed when brain cells are alive and responding to stimulation.

The Stein lab decided to study the function of these genetic variants in cells involved in brain development. Every cell line has a different genetic background, which allows researchers to compare and contrast genetic variants in both active and inactive states. Stein’s lab members exposed the stem cells to different chemical compounds and controls to measure the differences in response.

These compounds stimulate a cascade of proteins that play important roles in brain development. Using the living model, researchers found thousands of noncoding genetic variants that are implicated in schizophrenia risk.

“Finding these genetic variants represents an important step forward in our understanding of the mechanisms that cause someone to be at greater risk of developing a neuropsychiatric disorder,” Stein said.

Stein said that a similar study design using this live-cell model system of the human brain could be helpful for testing how genetic variation influences risk for environmental exposures, like lead exposure, and their impacts on the brain. Similarly, future applications of this approach could be used to prescribe psychiatric treatments based on an individual’s genetics.

Co-first authors on the study were research associate Nana Matoba, post-doctoral fellow Brandon D. Le and graduate student Jordan M. Valone.

Read more about the genetic variant research.

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Loss of sense of smell may cause changes in breathing patterns, study suggests

Not having — or losing — your sense of smell may be linked to changes in breathing that could lead to depression, social isolation or other mental and physical health problems, a new study suggests. It's more evidence of how important this often neglected olfactory sense is.

A new analysis of breathing data from 52 volunteers over a 24-hour period revealed that people with a normal sense of smell had little spikes, or “sniffs,” during each breath that were not seen in those with no sense of smell, according to the report published in Nature Communications on Tuesday.  

People can be born with no sense of smell, a condition called anosmia , or they can acquire it, as has been the case with many who had a Covid infection .

The volunteers in the study without the ability to detect odors were all born with the condition.

Nearly 1 in 4 people have anosmia, according to National Institutes of Health estimates. Experts say that number is likely an undercount.

A 2023 report determined that more than 60% of people diagnosed with Covid developed anosmia . About 72% of those completely regained their sense of smell, while about a quarter partially got their sense of smell back. Nearly 4% of people after Covid infection didn't recover their ability to smell.

Even for those in the 4%, there may still be hope, since some get their sense of smell back as late as three years after their infection, experts say. There are treatments that may help, such as smell training or a procedure known as a stellate ganglion block .

The main takeaway from the study is better insight into some of the mental issues that some Covid patients who have lost their sense of smell experience, said the study’s lead author, Lior Gorodisky, a Ph.D. candidate in the brain sciences department at the Weizmann Institute of Science in Rehovot, Israel.   

The differences in breathing between those who can smell and those who can’t are pretty significant. “We are now also able to identify lifelong anosmia just based on the respiratory pattern,” Gorodisky said in an email.

The little inhalations during a breath, known as the “sniff response,” are something that most of us experience unconsciously every day, Gorodisky said. Those little sniffs tell our brains about good and bad smells. “When you go to a bakery or a flower field, once your brain has sensed the good smell of a pastry or a flower, you immediately take a deeper breath,” Gorodisky said.

To determine whether having anosmia might affect respiration, the researchers supplied the 52 volunteers with nasal devices that would monitor breathing as they went about their days.

Previous research has linked anosmia to a wide variety of negative outcomes, ranging from dulled emotions and depression to a shortened lifespan, the authors noted.

Although people in the study with anosmia had had it their entire lives, the researchers believe their findings will apply to others who developed the condition.

Losing the ability to detect odors can lead to impaired memory of events linked to specific smells, Gorodisky said. Because of that, it can take away the joy from daily activities such as eating and socializing with friends and family. 

As for shortened lifespans, that could be due at least in part to people not smelling odors that could indicate danger, such as smoke, Gorodisky said.

A study published in August found that people who lost their sense of smell as a result of Covid had behavioral, functional and structural brain changes.

The number of people with smell dysfunction are "vastly underestimated, said Valentina Parma, assistant director at the Monell Chemical Senses Center in Philadelphia.

She called the new study a “very first step.”

“We are piecing together more reasons why we need to pay more attention to the sense of smell,” said Parma, who was not involved with the new research.

The value of the sense of smell is often underappreciated.

“For the majority of the world, smell is an afterthought,” Parma said. “Covid helped bring it into the mainstream. It was a game changer.”

Currently, health care providers often don’t ask about or test for anosmia, Parma said. And that needs to change since its development later in life has been linked to the start of a number of serious disorders, including Alzheimer’s and Parkinson’s, she said.

The findings underscore the importance of testing for anosmia and finding treatments, said otolaryngologist Dr. Jonathan Overdevest at the Columbia University Irving Medical Center in New York City. 

Researchers also need to work out the details of how losing one’s sense of smell might affect other aspects of health, Overdevest said. “One thing we do know is that a portion of the brain affected earliest by Alzheimer’s is in charge of the sense of smell,” he added.

Brain scanning studies have shown that the sense of smell connects with many aspects of thinking, said Benjamin tenOever , chair of the department of microbiology at the New York University Langone Medical Center in New York City.

If there is an odor from a noxious fume, “the neurons in the nose tell the brain that there is something dangerous to avoid,” tenOever said. “And when there is a pleasant smell, the brain tells the nose to increase the amount of air inhaled. It’s not something that’s done consciously, but instead, the brain is hardwired to do it.”

Linda Carroll is a regular health contributor to NBC News. She is coauthor of "The Concussion Crisis: Anatomy of a Silent Epidemic" and "Out of the Clouds: The Unlikely Horseman and the Unwanted Colt Who Conquered the Sport of Kings."