Peer Review & Conclusions
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Learning Objectives
- 1Write a clear conclusion that uses evidence to support a claim
- 2Explain why peer review improves the quality of science
- 3Identify common conclusion mistakes such as overstating or ignoring data
- 4Give and receive peer feedback respectfully and usefully
Mini Lesson
A conclusion is where the experiment ends and the explanation begins. It is not the place for guesses or wishful thinking — it is where you state what your data actually shows. Real scientists then ask other scientists to check their work. That checking is called peer review, and it is what separates a careful conclusion from a rushed one.
A Strong Conclusion: Claim, Evidence, Reasoning
- Claim — one clear sentence answering your original question.
- Evidence — specific numbers and observations from your data.
- Reasoning — why the evidence supports the claim, using science ideas you already know.
- Next step — a new question or change you would make next time.
Common Conclusion Mistakes
- Overstating — saying "this proves" when one trial only suggests something.
- Ignoring data — skipping the trials that did not match your hypothesis.
- Restating the hypothesis — repeating what you predicted instead of explaining what you found.
- No numbers — writing "the plant grew a lot" instead of "the plant grew 4 cm (about 1.6 in) in 7 days".
- No reasoning — listing data without explaining why it answers the question.
How Peer Review Works
- Write — finish your conclusion using claim, evidence, and reasoning.
- Share — exchange your work with a partner or small group.
- Review — read carefully and give specific, kind feedback.
- Revise — use the feedback to fix unclear parts or weak evidence.
Giving Feedback Respectfully
- Comment on the work, not the person — say "this sentence is unclear", not "you are confusing".
- Be specific — point to the line or number you mean.
- Ask before you fix — "did you mean...?" works better than rewriting their sentence.
- Name one strength along with each suggestion.
Tip: when you review a partner's work, ask "what number in the data made you write that?" If they cannot point to one, the conclusion needs more evidence.
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