spq-data-analysis
Use when executing and reporting the analysis for a Social Psychology Quarterly (SPQ) manuscript so it survives expert, masked review — honest uncertainty, robustness, sound measurement, and reporting appropriate to experiments, surveys/secondary data, or interpretive analysis in sociological social psychology. Guides analysis norms; it does not fabricate results.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill spq-data-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Analysis (spq-data-analysis) SPQ reviewers are sophisticated about both social-psychological measurement and the methods of each tradition. Analyze and report so an expert can trust the result and see the **structure–individual link** in the numbers (or the interpretation). This skill covers execution and reporting norms; design decisions live in `spq-research-design`. ## When to trigger - Running main and supporting analyses; building the results section - A reviewer asked for robustness, heterogeneity, alternative measures, or model checks - Reconciling preregistered (where used) vs. exploratory analyses - Reporting measurement quality for latent social-psychological constructs ## Analysis norms SPQ expects 1. **Report uncertainty honestly.** Confidence/credible intervals, not just stars; the **magnitude** and substantive meaning of the estimate, in the metric of the construct, not just significance. 2. **Measurement quality up front.** For identity salience, mastery, sentiment, status, etc.: report reliability (alpha/omega), and where relevant CFA/SEM fit; show the result is not a scaling artifact. 3. **Robustness that probes, not decorates.** Alternative measures, sample
- When to trigger
- Analysis norms SPQ expects
- Interpretive / qualitative specifics
- Structure-individual reporting check
- Reproducibility while you work (good practice, not a gate)
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output format
- Supplementary resources
What does the spq-data-analysis skill do?
Use when executing and reporting the analysis for a Social Psychology Quarterly (SPQ) manuscript so it survives expert, masked review — honest uncertainty, robustness, sound measurement, and reporting appropriate to experiments, surveys/secondary data, or interpretive analysis in sociological social psychology. Guides analysis norms; it does not fabricate results.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill spq-data-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.