Writing StudioResearch Writing

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Discussion

You will write a discussion that answers your research question first, explains what your findings mean against the literature, and states limitations honestly.

Do this first

Draft the first paragraph of your discussion in four sentences: your research question, your direct answer to it, the most important finding behind that answer, and what it means for your field. If you cannot write the second sentence, settle your answer before drafting anything else.

Steps

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  1. Answer the question in the first paragraph

    Restate the aim briefly and give your answer directly. Many readers go straight to the discussion, so they should not have to reconstruct your main finding from the results.

  2. Interpret rather than repeat

    For each main finding, say what it means and offer the most plausible explanations, ranked by how well your evidence supports them. Refer back to results in a phrase rather than restating the numbers.

  3. Return to the literature

    Go back to the debates and gap from your literature review. Say where your findings agree with earlier work, where they differ, and why they might differ (sample, setting, method or period). This is where you show what your study changes in the field.

  4. State limitations honestly and specifically

    Name the real limitations, say how each might affect your findings (in which direction and by how much, if you can), and what you did to reduce it. A specific limitation builds trust; a generic list such as “small sample, self-report” with no consequences does not.

  5. Keep implications within your evidence

    Separate implications for theory, for method, and for policy or practice, and keep each within what your design can support. Correlational data cannot justify causal recommendations, and a single case cannot support claims about a whole population.

  6. End with the contribution and a next step

    Close with a short conclusion that restates what your study adds and names the most useful next study, specifically enough that someone could design it. Do not introduce new results here.

Templates

Discussion outline

1. Answer: This study asked [question]. The findings show that [direct answer].
2. Explanation: [Finding] is most likely explained by [explanation], because [evidence]. An alternative explanation is [explanation], but [why it is less likely].
3. Relation to earlier work: This is consistent with [studies] and extends them by [contribution]. It differs from [studies], possibly because [difference in sample, method or setting].
4. Limitations: [Limitation] may have [overstated / understated / limited the transfer of] [result], because [reason]. We reduced this by [step].
5. Implications: For [theory / method / practice / policy], this suggests [implication within the limits of the design].
6. Conclusion: [Contribution in one sentence]. A useful next study would [specific design, population or question].

Hedging and limitation phrases

These findings suggest that [claim], although [condition].
One possible explanation is [explanation]; another is [explanation].
This result should be interpreted with caution because [specific reason].
Because [limitation], the findings may [overstate / understate / not transfer to] [result or group].
This does not mean that [overclaim a reader might make]; rather, [accurate claim].

Check your draft

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In your field

Discussions are tightly organised around the main findings, covering mechanisms, comparison with earlier results and limitations, and many journals want a short conclusion or a separate limitations paragraph. Overclaiming causality or generality is a common reason for reviewer pushback.

Read more about this stage

A discussion usually moves from specific to general: your answer, then what it means, then how it fits the field, then what follows. It mirrors the introduction, which moves from general to specific. If your discussion opens with a broad statement about why the topic matters, move that sentence to the introduction or cut it.

Honest limitations are about consequences. A small sample matters if it makes your estimates imprecise or leaves a subgroup too small to analyse; self-reported data matters if people had reasons to over or under report. Saying which way a limitation is likely to bias the result tells the reader how far to adjust your conclusions.