ACADEMIC WRITING GUIDE

How to Write the Significance of the Study in a Dissertation (With Examples)

By Acadelyra Editorial TeamPublished 8 October 2026

You may have a clear research problem and a well-defined purpose, yet still face a supervisor’s question: “Why does this study matter?” The significance of the study answers that question. It explains what your investigation could contribute, who could use the knowledge, and why the contribution is worth pursuing. A convincing section is specific, evidence-aware and realistic—not a promise to transform an entire field.

What is the significance of the study?

The significance of the study is the reasoned explanation of the value of a proposed or completed investigation. It connects an evidence-supported problem or gap to a plausible contribution: new understanding, useful evidence, improved methods, or information that could guide decisions. In a proposal, describe potential contributions (“may help”, “could inform”). In a completed dissertation, explain what the findings actually support.

Significance, problem, purpose and implications: what is different?

Element	Question it answers
Research problem	What is uncertain or concerning, and what evidence supports it?
Research purpose	What exactly will this study investigate?
Significance	Why would answering that question matter, and to whom?
Implications	Given the actual findings, what might follow for knowledge or practice?

For example, “students may struggle to apply written feedback” is a proposed problem; “explore how first-year students use feedback” is a purpose; “the findings could help tutors identify which feedback explanations students find usable” is a significance claim. These statements work together but are not interchangeable.

What makes a study significant?

Scholarly significance: The investigation may clarify a disputed relationship, describe an overlooked experience, test whether existing explanations apply in a different context, or offer evidence that later researchers can examine. A new location alone is not automatically an important contribution: explain why that setting could change what is known.

Practical significance: Findings may help an identifiable group understand a challenge or assess a possible response. For example, a university teaching team could use students’ reported experiences to review feedback guidance. Such use is possible, not guaranteed.

Methodological or policy relevance: A study may assess a measurement approach or provide local evidence relevant to policy discussions. Claim this only when the design actually supports it. You do not need every category; one defensible contribution can be enough.

How to write the significance of the study: six steps

1. Start with a verified problem

Summarize the particular uncertainty in one or two sentences. Cite the studies or records establishing it. Do not claim “no research exists” without a defensible search.

2. Name the knowledge your study can produce

Ask what a reader will understand, compare or assess after the study. Be as concrete as your research question.

3. Identify realistic beneficiaries

Choose groups directly connected to the research, such as students, lecturers, clinicians, managers or researchers. Avoid generic claims that everyone benefits.

4. Explain the pathway to value

For each group, finish the sentence: “They could use the findings to…” A benefit without a plausible use is just a label.

5. Match the claims to the design

An interview study may deepen understanding of experiences but cannot estimate population prevalence without appropriate sampling and analysis. A correlational survey may examine association but cannot alone prove causation.

6. Draft, then test alignment

Read your problem, purpose, research question, method and significance in order. They should refer to the same phenomenon, population and realistic contribution.

Three complete significance-of-the-study examples

All three examples below are invented for teaching. They are not evidence of verified research gaps, existing findings or guaranteed impacts. Before using a similar passage, support the problem with credible literature and adapt it to your actual study.

Example 1 — Education: qualitative dissertation

Study context (hypothetical): A proposed interview study explores how first-year university students interpret written assignment feedback and decide whether to apply it in later coursework.

Weak significance statement: This study is important because feedback is very important to all students.

Stronger, proposal-stage significance section: This study may contribute a more detailed understanding of how first-year undergraduates at the selected university interpret written assignment feedback and describe using it in later coursework. By identifying the explanations students report finding clear or confusing, the findings could help lecturers and academic-support staff reflect on how they communicate feedback. The study may also suggest questions for subsequent research on feedback use in other settings. Because the evidence comes from interviews with a defined group, the findings will illuminate participants’ experiences rather than establish how common those experiences are across all universities.

Why it works: It names the specific insight, plausible users and a realistic application, while acknowledging the limits of interview evidence.

Example 2 — Business: quantitative dissertation

Study context (hypothetical): A cross-sectional survey examines the association between perceived schedule flexibility and self-reported employee engagement among staff at selected small firms.

Weak significance statement: This study will prove flexible schedules increase productivity everywhere.

Stronger, proposal-stage significance section: This study could add context-specific evidence about whether employees who report greater schedule flexibility also report different levels of engagement in the participating small firms. The results may help managers decide which workplace questions warrant closer assessment, rather than assuming flexibility has the same relationship with engagement in every team. For researchers, the estimates and limitations may inform comparisons with other employment settings. Because the proposed design measures variables at one point in time, it cannot by itself show that flexibility causes higher engagement or productivity.

Why it works: The contribution concerns a measurable association; beneficiaries and possible uses are clear, and causal overclaiming is avoided.

Example 3 — Public health: mixed-methods dissertation

Study context (hypothetical): A sequential study first surveys attendance at scheduled community health appointments, then interviews selected participants about reasons for missed visits.

Weak significance statement: The study will eliminate missed appointments and improve the national health system.

Stronger, proposal-stage significance section: This study may provide a clearer account of appointment attendance patterns in the participating clinics and of the barriers patients describe when explaining missed visits. The survey findings could help clinic administrators identify patterns that merit attention, while the interviews could help staff understand practical constraints that numbers alone do not explain. Integrating both forms of evidence may generate locally relevant questions for service improvement and future evaluation. The study will not establish that any proposed intervention reduces missed appointments; that would require further testing.

Why it works: It explains why both methods are needed, who could use each type of evidence, and what remains unproven.

Worked example: turn a weak paragraph into a useful significance section

Weak draft: “This research is significant because social media affects students. It will help students, teachers and society.” This does not say what will be learned, why the specific study is needed, or how each group might use the results.

Step 1 — Specify the study: A hypothetical survey will examine the association between late-night social-media use and self-reported sleep quality among undergraduates at one institution. First verify whether the literature establishes a meaningful unresolved question in that setting.

Step 2 — Identify the possible contribution: Context-specific evidence about the direction and strength of an association, not proof that one behavior causes the other.

Step 3 — Identify credible users: Student-wellbeing staff could use the evidence to decide what questions to explore further; researchers could compare the findings with other student populations.

Revised paragraph: “This study may contribute context-specific evidence about the association between late-night social-media use and self-reported sleep quality among undergraduates at the selected institution. The findings could help student-wellbeing teams identify patterns worth exploring in future guidance or needs assessments. They may also provide a point of comparison for researchers studying student sleep in other settings. Because the design is cross-sectional and relies on self-reported measures, the findings cannot establish that social-media use causes poor sleep.”

Notice what changed: The revised version identifies a concrete contribution, a plausible path to use, relevant beneficiaries and limits. It does not promise an outcome the research cannot demonstrate.

A practical template you can adapt

“This study seeks to address [specific, literature-supported uncertainty] by [what the study will investigate]. It may contribute [precise insight or evidence] to understanding [field or problem]. The findings could be useful to [specific group] by helping them [realistic use]. They may also inform [specific further research or practice], subject to [important design or scope limitation].”

Use this as a planning scaffold, not a paragraph to submit unchanged. Replace every bracket with details supported by your study and adjust the language to your department’s conventions.

How long should the significance section be?

There is no universal length. Some departments expect a concise paragraph; others want a longer discussion of scholarly and practical contributions. Follow your dissertation handbook and supervisor. Include enough detail to show what matters, to whom and why, without repeating your literature review or research aims.

Common mistakes and how to fix them

“The topic is important”

Specify the contribution that this particular study could make.

Listing every possible beneficiary

Keep only groups with a believable pathway from findings to use.

Treating a gap as proof of significance

Explain why resolving that gap would change understanding or a decision.

Claiming causation from association

Describe relationships accurately and acknowledge the study design.

Promising immediate policy change

Say findings may inform consideration, not guarantee adoption or results.

Writing expected findings as established facts

Use appropriately conditional wording in proposals; ground completed-study claims in results.

Repeating the purpose statement

Move beyond what you will do to why its results might matter.

Significance of the study checklist

Is the problem or gap supported by credible evidence?
Have I identified the precise knowledge or insight my study can offer?
Have I named realistic beneficiaries and explained how each could use the findings?
Do my claims match the research questions, design, sample and setting?
Have I avoided invented evidence, causal overclaims and guarantees?
Is the section distinct from the purpose statement and literature review?
Does the wording match proposal-stage expectations or completed findings?
Have I followed my institution’s required format and length?

Final takeaway

A strong significance section does not insist that your research will change the world. It shows why answering one carefully framed question is worthwhile. State the evidence-supported uncertainty, identify the contribution your study can realistically make, explain who could use that knowledge, and acknowledge the limits of the design. If readers can answer “What would we know or do differently because of this study?”, your significance is becoming clear.