Discussion chapter by the numbers
- 3,000 to 5,000 words — typical taught master’s discussion chapter length.
- 10,000 to 15,000 words — typical PhD discussion chapter length.
- 17.5% — proportion of total dissertation word count typically allocated to discussion at master’s level.
- 52% of UK examiners cite the discussion chapter as the strongest indicator of student understanding (UKCGE, 2024).
- 40 to 60% of viva questions originate from the discussion chapter.
- 3 to 6 paragraphs per finding — typical depth of discussion at first-class level.
Discussion chapter structure
| Section | Purpose | Words (of 4,500) |
|---|---|---|
| 1. Introduction | Restate RQ; signpost what the chapter will do | 300 |
| 2. Discussion of finding 1 | IDR cycle: interpret, discuss vs lit, reflect | 800 |
| 3. Discussion of finding 2 | IDR cycle | 800 |
| 4. Discussion of finding 3 | IDR cycle | 800 |
| 5. Theoretical contribution | What the dissertation adds to theory | 600 |
| 6. Practical implications | For practice, policy, or industry | 500 |
| 7. Limitations | 3 to 5 honest limitations with mitigation | 450 |
| 8. Future research | 3 to 4 specific directions, not “more research is needed” | 250 |
The IDR formula for every finding paragraph
Each finding paragraph should follow this three-step structure:
| Step | Question to answer |
|---|---|
| I — Interpret | What does this finding mean? (Not just “we found X” — explain why X matters) |
| D — Discuss against literature | Does it confirm, extend, or contradict prior work? Cite specific authors. |
| R — Reflect | Why did you find this — methodological reasons, contextual reasons, sample reasons? |
Discussion chapter stuck?
PhD-qualified writers. IDR-formula structured. Theoretical contribution mapped. Viva-ready.
Worked example: a first-class IDR paragraph (business)
Finding being discussed: in a study of UK Gen Z consumers, perceived authenticity fully mediated the relationship between sustainability claims and purchase intention.
[Discuss] This contrasts with prior work by Smith and Patel (2021), who reported a direct sustainability-claim → intention path in older consumers, but aligns with Liu et al.’s (2023) finding that Gen Z consumers weigh source authenticity more heavily than message content. The current finding extends Source Credibility Theory (Hovland and Weiss, 1951; updated by Pornpitakpan, 2004) by specifying authenticity as the active mediator in this generational context, not credibility or expertise.
[Reflect] The full mediation may partly reflect this study’s sample of high-engagement followers, who by definition have already invested in the parasocial relationship with the influencer. A general-population sample might show partial mediation. Future research should test the model across engagement levels.”
Notice: each step is clearly labelled by content, the literature is engaged actively (not just “as Liu noted”), and the reflection acknowledges a sample-driven limitation without undermining the finding.
Stating theoretical contribution clearly
Examiners look for one of these contribution types — name yours explicitly:
- Confirmation in a new context — extends an existing theory to a new population, setting or time
- Refinement — adds boundary conditions, moderators or mediators
- Integration — links two previously separate theories
- Challenge — disconfirms a previously dominant view
- Novel framework — proposes a new model (rare at master’s level; expected at PhD)
Writing the limitations section that protects you at viva
Strong limitations sections share four features:
- Specific, not generic — “small sample size” is too generic. “Sample size of 41 was sufficient for thematic saturation per Guest et al. (2006), but limits generalisability of the quantitative items” is specific.
- Mitigated — every limitation should include “but this is mitigated by [X]” or “future research can address this by [Y]”.
- Honest, not defensive — examiners reward acknowledging real weaknesses; concealing them is worse than admitting them.
- Linked to future research — each limitation should generate a future research suggestion.
Future research that gets cited
Avoid: “Future research should explore other industries / larger samples / different populations.” (Generic; reviewers ignore this.)
Use instead specific, actionable directions tied to your findings:
- Methodological extension: “Future research could test the same model using longitudinal panel data to identify causal direction.”
- Population extension: “Replicating with UK consumers aged 35 to 55 would test whether authenticity mediation is age-bounded.”
- Theoretical extension: “Integrating the authenticity model with parasocial-relationship theory could specify under which conditions authenticity translates into loyalty.”
The eight most common discussion mistakes
- Repeating the findings chapter — discussion is not a recap. Cut every sentence that just restates a number.
- No engagement with literature — bringing the dissertation to a close without referring back to prior work caps marks at 60.
- Speculation without grounding — “this might be because of cultural differences” without evidence is hand-waving. Tie speculation to a specific theory or prior study.
- Ignoring counter-findings in your data — if a hypothesis was disconfirmed, discuss it openly. Pretending it didn’t happen is worse than addressing it.
- Vague contribution claim — “this study contributes to the literature on X” is too thin. Name the specific contribution type.
- Limitations buried at the end as a footnote — they should occupy 350 to 500 words at master’s; 1,500 at PhD.
- “More research is needed” as the future-research section. Always be specific.
- Discussing every finding equally — your most important finding deserves the most discussion. Allocate space accordingly.
Need a discussion chapter that defends at viva?
PhD-qualified writers in your field. Theoretical contribution mapped. Limitations honestly framed.
References
- Saunders, M., Lewis, P. and Thornhill, A. (2023) Research Methods for Business Students. 9th edn. Harlow: Pearson.
- Trafford, V. and Leshem, S. (2008) Stepping Stones to Achieving Your Doctorate. Maidenhead: Open University Press.
- UK Council for Graduate Education (2024) Examiner Reports on Postgraduate Research Degrees: 2023 to 2024. Lichfield: UKCGE.
- Hovland, C. I. and Weiss, W. (1951) “The influence of source credibility on communication effectiveness”, Public Opinion Quarterly, 15(4), pp. 635–650.
- Pornpitakpan, C. (2004) “The persuasiveness of source credibility: a critical review of five decades’ evidence”, Journal of Applied Social Psychology, 34(2), pp. 243–281.
- Hayes, A. F. (2022) Introduction to Mediation, Moderation, and Conditional Process Analysis. 3rd edn. New York: Guilford.
- Guest, G., Bunce, A. and Johnson, L. (2006) “How many interviews are enough?”, Field Methods, 18(1), pp. 59–82. https://doi.org/10.1177/1525822X05279903
- Phillips, E. M. and Pugh, D. S. (2015) How to Get a PhD. 6th edn. Maidenhead: Open University Press.
Make your discussion chapter viva-proof
PhD-qualified writers in your field. IDR-structured. Theoretical contribution mapped. Limitations honestly framed.