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poq-data-analysis

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Use when executing and reporting the analysis for a Public Opinion Quarterly (POQ) manuscript so it survives expert, double-blind review — design-based inference that respects survey weights, strata, and clusters, honest uncertainty, robustness, and reproducibility. POQ verifies that code reproduces every table and figure. Guides analysis norms; it does not fabricate results.

When to use

• Running main and supporting analyses
• Building the results section
• Reconciling preregistered vs. exploratory analyses
• Making the analysis reproducible before deposit
• Handling design-based standard errors
• Conducting robustness checks
• Managing missing data and nonresponse
• Generating reproducible tables and figures

When not to use

• Fabricating results
• Causal or experimental claims
• Survey design and measurement decisions

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