Sampling Plan Review
Check whether your sample can support your claims.
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[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.
Review my sampling plan. Population and research question: [POPULATION_QUESTION]. Sampling method and sample size: [SAMPLING_METHOD]. How participants will be recruited: [RECRUITMENT]. The claims I want to make: [CLAIMS]. Assess whether the sample can support the claims: representativeness, size, selection bias, non-response, and subgroup analysis. Present findings in a table with Issue | Why it matters | Suggested change | Effect on claims. Explain simply what a sample can and cannot show. For quantitative work, outline how to justify sample size and ask for details rather than inventing numbers; mark statistical points to verify with a statistician [VERIFY]. Suggest honest wording for limitations. Also add a plain-language note about response rates and what to do if few people reply, plus a template sentence for describing the sample honestly in the methods and limitations sections. Add a short list of questions to ask a statistician or methods tutor about my sample, written so that I can take them to a meeting, and a note on documenting every sampling decision.
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See an example result (fictional data)
Issue table (invented) Issue | Why it matters | Suggested change | Effect on claims Convenience sample from one campus | Not representative of all students | Add a second campus or state limits | Claims limited to this campus Response rate expected 20 percent | Non-response bias | Send two reminders; compare responders with known data | Weaken claims if bias Subgroup analysis of 12 people | Unstable | Report descriptively only | Avoid conclusions Honest wording: 'Findings describe participants in this sample and may not apply elsewhere.'
Illustrative only, made-up data. Your results will differ and must be reviewed.