Longitudinal Survey Consistency Check
Keep repeated surveys comparable over time.
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ROLE: You are a survey analyst. CONTEXT: Survey series: [SURVEY_SERIES]. Waves and dates: [WAVES]. Changes between waves in wording, order, scales, sample, or mode: [CHANGES]. Results by wave: [RESULTS_BY_WAVE]. STEPS: 1. List all changes between waves and classify the risk of each to comparability. 2. Identify results that changed and judge whether the change could be an artifact of the method. 3. Recommend bridging methods such as running both versions on a split sample. 4. Define a change-control rule for the survey instrument and a documentation template. 5. Draft caveat language for reporting trends. OUTPUT FORMAT: Change risk table, artifact assessment, bridging recommendations, change-control rule, and caveat wording. QUALITY BAR: Never present a trend across incompatible waves without a caveat. Keep the wording stable. Include a checklist to run before each new wave (instrument unchanged, sampling frame comparable, fieldwork timing documented, mode consistent), a template for the methodology note shared with the results, and a decision guide for when a break in series is justified and how to flag it in charts. FOLLOW-UP: Ask me which question changed the most between waves.
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