Evaluating your own investigation is one of the most intellectually demanding parts of the Extended Investigation — it requires you to step back from your own work and assess it with the same rigour you would apply to any external source. A high-quality self-evaluation is honest, specific and analytically substantive.
Self-evaluation serves multiple functions:
1. Academic integrity: Honest acknowledgement of limitations is a mark of intellectual honesty
2. Contribution to knowledge: Telling readers what your findings cannot tell them is as important as what they can
3. Assessment: VCAA assessors specifically look for evidence of critical self-reflection in the evaluation section
4. Research community value: Future researchers need to understand the limitations of your work before building on it
KEY TAKEAWAY: Evaluation is not a modesty exercise. It is a substantive analytical task. Vague statements (“the sample was small”) score poorly. Specific, analytical statements (“the convenience sample of 40 students from one school limits the generalisability of findings to diverse school environments”) score well.
EXAM TIP: Evaluation questions often ask: “Identify TWO limitations of the investigation and explain how each affects the conclusions.” This requires (1) naming the limitation, (2) explaining the specific mechanism by which it limits validity/reliability/generalisability, and (3) stating the consequence for the conclusions. Aim for at least three sentences per limitation.
Strong evaluation answers use these moves:
1. Identify: Name the limitation or strength specifically
2. Explain: Describe the mechanism — why is this a limitation?
3. Impact: How does this affect the reliability, validity or generalisability of findings?
4. Address: What was done to mitigate it, and/or what would stronger research look like?
Example of a weak evaluation statement:
“The sample size was small.”
Example of a strong evaluation statement:
“The survey sample comprised 35 students from a single metropolitan private school, limiting generalisability. This convenience sample likely overrepresents high-SES students with strong academic support structures, meaning findings about study habits may not apply to students in regional or lower-SES school contexts. A stratified random sample drawn from multiple school types would produce more generalisable findings.”
Evaluation is not only about weaknesses. Acknowledge genuine strengths:
- Methodological strengths that increase confidence in specific findings
- Areas where the investigation extends or adds to existing literature
- Parts of the process that worked effectively
- Aspects where you managed limitations successfully
APPLICATION: Complete an evaluation framework table before writing the evaluation section:
| Aspect | Strength | Limitation | Impact on Conclusions | Suggested Improvement |
|---|---|---|---|---|
| Research question | Specific and focused | May be too narrow | Findings only address X context | Broader comparative design |
| Method | Well-suited to question | Convenience sample | Limited generalisability | Random sample |
| Data | Rich qualitative data | Small n | Cannot quantify prevalence | Supplement with survey |
COMMON MISTAKE: Writing the evaluation section as a list of apologies rather than an analytical assessment. The tone should be confident and analytical — “this limitation means…” not “unfortunately my research wasn’t perfect because…”