What Is the Purpose of the Study in Research? (Definition and Purpose of Research)
Before you can write a strong problem statement in research, you need to understand what the purpose of the study actually means and why it matters so much to the research process.
- Definition of the purpose of the study: The purpose of the study is a clear, concise statement that explains why a research project exists and what the researcher hopes to achieve by conducting it. It answers the question “why am I doing this research?” and sets the direction for everything that follows, including the problem statement in research, the research question, and the research method.
- The purpose of research, broadly speaking: At its core, the purpose of research is discovering new knowledge, testing existing ideas, or solving practical problems. Whether you’re working on basic research that expands existing knowledge for its own sake, or applied research that targets real-world issues, the underlying purpose of the study is always tied back to a specific problem statement in research that needs answering.
- Why this matters for researchers: A well-articulated purpose of the study helps a researcher stay focused, keeps the research paper or dissertation on track, and makes it easier for an editor or peer review committee to evaluate whether the research objectives were met.
- Connection to the problem statement in research: You cannot write a meaningful purpose of the study without first identifying the research problem. The problem statement in research names the gap, issue, or challenge; the purpose of the study explains what you intend to do about it. Think of the problem statement in research as the “what’s wrong” and the purpose of the study as the “what I’ll do about it.”
- Purpose across different fields: In social science, the purpose of the study might be to understand human behavior; in the natural sciences, it might be to test a hypothesis; in organizational research, it might be to inform policy decisions. Regardless of the field, every strong problem statement in research needs a companion purpose statement that gives the project direction and relevance to everyday life.
In short, the purpose of the study is the compass of your research project — and it only works if it’s built on a solid, well-defined problem statement in research.
Topic: Remote work and employee retention in tech companies
Problem statement in research:
Many mid-sized technology companies have adopted permanent remote work policies, yet existing research offers little insight into how this shift affects long-term employee retention outside of large, well-resourced corporations.
Purpose of the study:
“The purpose of this quantitative study is to examine the relationship between remote work flexibility and employee retention rates among mid-sized technology companies, in order to help inform organizational policy decisions around hybrid and remote work models.”
Why this works:
- Names the method — “quantitative study” tells the reader upfront how the research will be conducted.
- Names the variables — “remote work flexibility” and “employee retention rates” are specific, not vague.
- Names the population — “mid-sized technology companies,” rather than a broad, unfocused group.
- States the goal, not the outcome — it says what the researcher will examine, not what they expect to find (avoiding unsubstantiated claims about results before the data collection stage).
- Ties back to real-world relevance — ends with the practical application (informing policy decisions), which connects the purpose statement to why the study matters.
A qualitative variation of the same topic, for comparison:
“The purpose of this qualitative study is to explore how remote employees at mid-sized technology companies describe their sense of loyalty and connection to their organization.”
Notice the shift in verb (“explore” vs. “examine”) and focus (lived experience vs. measurable rates) — that’s the wording signal that tells a reader which research design is being used before they even reach the methodology section.
A 6-Step Guide for Researchers to Write a Purpose Statement (Using the Scientific Method)
Writing a purpose statement isn’t guesswork — it follows a systematic process rooted in the scientific method. Here’s a 6-step guide researchers can follow to move from a rough idea to a polished, publishable purpose statement grounded in a clear problem statement in research.
- Identify the research problem first
- Before you write a single word of your purpose statement, you need to identify the research method and pinpoint the exact problem statement in research you’re addressing.
- Ask yourself: what gap in existing research or existing knowledge am I trying to fill? Is this a practical problem affecting organizations, or a theoretical gap in a research paper’s literature review?
- A vague problem statement in research leads to a vague purpose statement, so spend real time here. Read broadly, look at recent research findings, and make sure your problem hasn’t already been solved by additional research.
- Review existing research and existing knowledge
- Conduct a literature review to see what’s already known. This step prevents you from duplicating work and helps you understand where your problem statement in research fits within the bigger conversation.
- Look specifically for unanswered questions, contradictory findings, or outdated data — these are goldmines for a compelling problem statement in research.
- This is also where doctoral students and researchers often discover that their initial idea needs revision, because someone else has already addressed part of the problem.
- Draft your research question and hypothesis
- Once your problem statement in research is solid, translate it into one or more specific research questions.
- If you’re conducting quantitative research, you’ll likely also draft a hypothesis — a testable prediction about the relationship between variables.
- If you’re doing qualitative research, your research question might be more open-ended, aimed at exploring experiences, perceptions, or social phenomena rather than proving a hypothesis.
- Your research question should map directly back to the problem statement in research; if it doesn’t, revise one or the other until they align.
- Determine your research design and research method
- Decide whether your study will be descriptive research, explanatory research, or exploratory research, and whether you’ll collect data using quantitative, qualitative, or mixed methods.
- Your research design should be the natural extension of your problem statement in research — a cause-and-effect question calls for an explanatory, often quantitative approach; a “how do people experience X” question calls for qualitative, often exploratory approaches.
- At this stage, you also decide how you’ll collect data: surveys, interviews, experiments, observations, or secondary data analysis.
- Write the purpose statement itself
- Now you’re ready to write. A strong purpose statement typically follows a template: “The purpose of this study is to [explore/examine/determine/describe] [the central phenomenon] for [participants] at [research site] in order to [reason/goal tied to the problem statement in research].”
- For example: “The purpose of this quantitative study is to examine the relationship between remote work flexibility and employee retention in mid-sized technology companies, in order to inform organizational policy decisions.”
- Keep it concise, use plain language, and avoid unsubstantiated claims about what your findings will show — the purpose statement describes intent, not results.
- Refine, integrate, and align with your research objectives
- Reread your purpose statement alongside your problem statement in research and research objectives to check they all point in the same direction.
- Integrate feedback from advisors, an editor, or peer review before finalizing.
- Treat this as an iterative process — it’s normal to go through several rounds of revision as your research design gets sharper and your problem statement in research becomes more focused.
Following this systematic, six-step process — grounded in the scientific method — ensures your purpose statement isn’t just well-written, but genuinely useful for guiding your research paper, thesis, or dissertation from a well-defined problem statement in research through to your final research findings.
Purpose of the Study vs. Significance of a Study vs. Purpose Statement: Key Differences, with Examples
These three terms get confused constantly, even among experienced researchers, so it’s worth breaking down exactly how they differ — and how each one relates back to your problem statement in research.
Purpose of the study
- This explains why the research is being conducted and what the researcher intends to do. It’s forward-looking and action-oriented, describing the goal of the research project.
- Example: “The purpose of this study is to explore how small business owners in rural communities adapt their marketing strategies during economic downturns.”
- The purpose of the study is always anchored to a specific problem statement in research — in this case, the problem might be that existing research on small business marketing focuses almost exclusively on urban settings, leaving a gap in understanding rural adaptation.
Purpose statement
- This is the actual sentence or short paragraph, usually placed near the end of the introduction, that formally states the purpose of the study. It’s the written expression of the purpose, not the underlying intent itself.
- Example: “This dissertation aims to identify the research method most effective for measuring customer loyalty in the subscription-based software industry.”
- A purpose statement is more narrowly about phrasing and placement, while “purpose of the study” refers to the broader concept. Every research paper needs a purpose statement, and it should be traceable directly to the problem statement in research described earlier in the paper.
Significance of a study (also called significance of the study)
- This explains why the research matters — who benefits, what practical applications it has, and how it contributes to advancing knowledge in the field.
- Example: “The significance of this study lies in its potential to inform public policy around small business grants, offering policymakers evidence-based recommendations grounded in real-world data.”
- Where the purpose of the study describes what the researcher will do, the significance of a study describes the impact of doing it — for society, for a specific industry, or for advancing knowledge and future research projects.
Key distinctions at a glance
- The purpose of the study answers “what will I do?” The significance of a study answers “why should anyone care?” The purpose statement is simply the written form of the purpose, formatted for a research paper, thesis, or dissertation.
- The problem statement in research always comes first — it identifies the issue. The purpose of the study follows, describing the response. The significance of a study comes last, explaining the broader value once the problem statement in research and the purpose have been established.
A combined example showing the flow
- Problem statement in research: “Despite growing interest in remote work, little existing research examines its effects on employee mental health in the manufacturing sector, where remote work is less common but increasingly relevant to hybrid roles.”
- Purpose of the study / purpose statement: “The purpose of this quantitative study is to evaluate the relationship between hybrid work arrangements and reported stress levels among manufacturing sector employees.”
- Significance of the study: “This research is significant because it could shape organizational wellness programs and inform policy decisions about hybrid work eligibility in industries historically excluded from remote work research.”
Why the distinction matters
- Confusing these three elements is one of the most common mistakes doctoral students make when drafting a thesis or dissertation. An editor or peer reviewer will often flag a research paper where the purpose statement simply restates the problem statement in research without adding anything new, or where the significance of a study section drifts into describing the research method instead of the impact.
- Getting the distinction right makes your entire research paper read as more analytical, more systematic, and more credible — because each section is doing distinct work instead of repeating the same idea in different words.
Understanding these differences isn’t just academic nitpicking — it directly affects how clearly your problem statement in research, your purpose of the study, and your significance of the study communicate the value of your research to readers, reviewers, and future researchers building on your work.
Characteristics of a Strong Purpose of the Study in Research
Not every purpose statement is created equal. Here are the characteristics that separate a strong purpose of the study from a weak, vague one — and how each trait connects back to a well-defined problem statement in research.
- Clarity and conciseness: A strong purpose of the study is written in plain, direct language. It avoids jargon where possible and states, concisely, exactly what the researcher intends to examine, describe, or evaluate. If a reader can’t summarize your purpose statement in one sentence after reading it once, it’s probably too complicated.
- Direct alignment with the problem statement in research: The purpose of the study must clearly grow out of the problem statement in research. If there’s no obvious link between the two, readers (and reviewers) will question whether the research design actually addresses a real gap in existing knowledge. A useful test: read your problem statement in research and your purpose statement back-to-back. If the purpose statement doesn’t logically follow, revise it.
- Specificity over vagueness: Strong purpose statements name the population, variables, or phenomenon of interest, plus the setting or context — not broad, sweeping claims. Weak: “This study will look at technology in schools.” Strong: “This study examines how tablet-based learning tools affect reading comprehension among third-grade students in under-resourced public schools.”
- Reflects the research method and research design: A well-written purpose statement signals, often through its choice of verb, whether the study is quantitative, qualitative, or mixed-methods. Words like “examine,” “measure,” “test,” or “quantify” suggest quantitative research; words like “explore,” “understand,” or “describe” suggest qualitative research. This alignment helps readers immediately identify the research method being used before they even reach the methodology section.
- Feasibility and scope: A strong purpose of the study is realistic given the time, resources, and access available to the researcher. Overly ambitious purpose statements that promise to “solve” broad societal issues in a single research paper often collapse under peer review. Scope should be tight enough to be achievable, but meaningful enough to contribute to advancing knowledge in the field.
- Free of bias and unsubstantiated claims: The purpose statement should describe intent, not predetermined conclusions. Avoid language that assumes the outcome before data collection and data analysis have even begun. Objectivity here protects the credibility of the entire research process, from the initial problem statement in research through to final research findings.
- Practical relevance: The best purpose statements tie back to practical problems or practical applications in everyday life, whether that’s improving public policy, advancing a scientific field, or solving an organizational challenge.
A strong purpose of the study checks every one of these boxes, and in doing so, it reassures readers that the problem statement in research driving the project has been thoughtfully translated into an achievable, well-scoped research goal.
How Research Design Shapes Your Purpose Statement
Your research design isn’t just a methodology decision made after the fact — it actively shapes how you phrase, scope, and structure your purpose statement. Here’s how the two connect, and why matching them correctly matters for any problem statement in research.
- Quantitative research design and purpose statements: If your problem statement in research points toward measuring variables, testing cause-and-effect relationships, or generalizing findings to a larger population, you’ll likely choose a quantitative research design.
- Purpose statements for quantitative studies typically use verbs like “examine,” “test,” “measure,” or “quantify,” and often name specific variables.
- Example: “The purpose of this study is to quantify the relationship between sleep duration and academic performance among high school students using standardized test scores.”
- Qualitative research design and purpose statements: When your problem statement in research is about understanding lived experiences, perceptions, or social processes that can’t easily be reduced to numbers, a qualitative research design fits better.
- These purpose statements rely on open-ended, exploratory language and non-numerical data — words like “explore,” “understand,” or “describe” signal this approach.
- Example: “The purpose of this qualitative study is to explore how first-generation college students describe their experiences navigating financial aid systems.”
- Descriptive, explanatory, and exploratory research designs: Descriptive research aims to portray a phenomenon as it exists, so purpose statements here often focus on “describing” or “documenting” a situation without necessarily probing causes.
- Explanatory research digs into cause-and-effect relationships, so purpose statements use language like “determine the effect of” or “explain why.”
- Exploratory research is used when a problem statement in research is still emerging or under-studied, and purpose statements here tend to be broader, aimed at generating hypotheses for future, more targeted research projects.
- Mixed-methods designs: Some problem statements in research call for both numerical and non-numerical data to fully answer the question. In these cases, the purpose statement should reflect both dimensions — often stating that the study will first quantify a trend and then explore the reasons behind it through qualitative follow-up.
- Example: “The purpose of this mixed-methods study is to measure employee turnover rates and explore the underlying reasons employees give for leaving, in order to inform organizational retention strategies.”
- How data collection methods influence wording: Whether you plan to collect data via surveys, interviews, experiments, or existing datasets affects how specific your purpose statement can be. A study using pre-existing datasets can be more precise about statistical analysis methods upfront; a study relying on interviews may need to stay flexible since findings often emerge iteratively during data collection.
- Why this alignment matters: When your research design doesn’t match your purpose statement, readers and reviewers notice immediately — a purpose statement promising to “quantify” something isn’t credible if paired with an entirely qualitative research method.
- Getting this right from the outset saves researchers from major revision later and ensures the whole research process, from problem statement in research to research findings, reads as coherent and methodologically sound.
Ultimately, research design and purpose statement aren’t separate decisions — they’re two sides of the same coin, both dictated by how you’ve framed your original problem statement in research.
Examples of Purpose Statements for Dissertations and Various Fields
To make all of this concrete, here are examples of purpose statements across various fields, each paired with the underlying problem statement in research that drove it. Use these as templates for your own dissertation, thesis, or research paper.
Education (qualitative example)
- Problem statement in research: Existing research on classroom technology adoption rarely accounts for teacher confidence levels, despite confidence being a major barrier to implementation.
- Purpose statement: “The purpose of this qualitative study is to explore how elementary school teachers’ confidence with digital tools influences their willingness to integrate technology into daily lesson plans.”
Public health (quantitative example)
- Problem statement in research: Rural clinics report inconsistent vaccination rates, but little existing knowledge explains what drives this variation at the county level.
- Purpose statement: “The purpose of this quantitative study is to determine the relationship between clinic staffing levels and vaccination completion rates across rural counties in the Midwest.”
Business and management (dissertation example)
- Problem statement in research: Small and mid-sized manufacturers struggle to remain competitive against larger firms with greater access to automation technology, threatening their long-term competitiveness.
- Purpose statement: “This dissertation examines how selective automation investment affects the competitiveness of small and mid-sized manufacturers, in order to identify practical applications for firms with limited capital.”
Psychology (mixed-methods example)
- Problem statement in research: Current research findings on workplace burnout rely heavily on self-report surveys, offering limited insight into how burnout actually develops over time.
- Purpose statement: “The purpose of this mixed-methods study is to measure burnout indicators among healthcare workers over a six-month period and explore, through follow-up interviews, how employees describe the onset of burnout symptoms.”
Environmental science (explanatory example)
- Problem statement in research: Coastal erosion rates have accelerated in several regions, but the specific contribution of human infrastructure versus natural weather patterns remains unclear.
- Purpose statement: “The purpose of this study is to explain the relative contributions of coastal infrastructure and storm frequency to erosion rates along the Gulf Coast between 2010 and 2025.”
Social science / sociology (exploratory example)
- Problem statement in research: As remote work becomes permanent for many households, little is known about how it reshapes family roles and daily routines within dual-income families.
- Purpose statement: “The purpose of this exploratory qualitative study is to understand how dual-income families renegotiate household responsibilities when both partners work remotely full-time.”
Applied research example (organizational policy)
- Problem statement in research: Organizations frequently launch diversity training programs without a systematic way to evaluate whether they change workplace behavior.
- Purpose statement: “The purpose of this applied research study is to evaluate the effectiveness of diversity training programs in changing self-reported workplace behavior across three mid-sized organizations.”
Basic research example
- Problem statement in research: While the biological mechanisms of cellular stress response are well documented, existing research has not clarified how these mechanisms differ across environmental conditions.
- Purpose statement: “The purpose of this basic research study is to describe how cellular stress response mechanisms vary under differing temperature conditions in a controlled laboratory setting.”
Doctoral / thesis-level example
- Problem statement in research: Doctoral students in online programs report higher attrition rates than their in-person peers, yet the specific factors driving withdrawal remain underexplored in existing research.
- Purpose statement: “The purpose of this thesis is to identify the factors most strongly associated with attrition among doctoral students enrolled in fully online programs, using survey data collected across ten universities.”
Across every field — from public health to sociology to organizational research — the pattern holds: a specific, well-articulated problem statement in research leads naturally to a focused, achievable purpose statement. Whether you’re a first-time researcher or a seasoned academic preparing a dissertation for peer review, mastering this connection is what separates a forgettable research paper from one that genuinely contributes to advancing knowledge in your field.
How to Write the Introduction Chapter of a Dissertation or Thesis
A strong introduction chapter sets the foundation for the entire dissertation. Below is a summary of our guides from Best Dissertation Writers covering every section you need to write a clear, well-structured introduction.
More Guides and Examples to Explore
Dissertation Introduction Chapter
A complete overview of what the introduction chapter should include and how each section fits together.
How to frame the context of your research, explain why the topic matters, and lead the reader toward your problem statement.
A step-by-step guide to identifying the research gap and articulating the problem your study addresses, with examples.
How to state the overall aim of your research in one clear, concise statement tied to the problem identified.
How to explain the theoretical and practical contributions of your research to your field and future studies.
How to craft a clear, focused research question that aligns with your purpose and guides your entire study.
Guidance on turning your purpose into specific, measurable objectives that guide methodology and analysis.
A practical walkthrough of running hypothesis tests in SPSS and interpreting the results for your study.
How to select and explain the theory or model that underpins your research and connects it to existing literature.
How to define the boundaries of your study — what it covers and what it excludes — and why this matters.
How to acknowledge the constraints of your research design, data, or methodology honestly.
Real sample introductions to see how all the sections above come together in a finished chapter.
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