jmf-data-analysis
Use when executing and reporting the analysis for a Journal of Marriage and Family (JMF) manuscript so it survives expert double-blind review — honest uncertainty, robustness, attention to selection and non-independence, and correct handling of complex-survey, longitudinal, and dyadic data. Guides analysis norms; it does not fabricate results.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jmf-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 (jmf-data-analysis) JMF reviewers are methodologically sophisticated and family data are tricky: complex-survey weights, panel attrition, missingness, and the non-independence of partners and family members all bite. This skill covers execution and reporting norms; design decisions live in `jmf-research-design`. ## When to trigger - Running main and supporting analyses; building the results section - A reviewer asked for robustness, heterogeneity, selection checks, or alternative specifications - Reconciling preregistered vs. exploratory analyses - Making the analysis reproducible before deposit ## Analysis norms JMF expects 1. **Report uncertainty and magnitude honestly.** Confidence intervals and effect sizes (not stars alone); state the substantive size in family terms (months to divorce, percentage-point change in a transition, points on a relationship-quality scale). 2. **Address selection explicitly.** In observational family research, show what survives within-person/ couple fixed effects, sibling comparisons, propensity adjustment + sensitivity, or honest scoping. 3. **Respect the data structure.** Apply **complex-survey** weights/clusters/strata for PSID, N
- When to trigger
- Analysis norms JMF expects
- Family-data specifics
- Reproducibility while you work (not at the end)
- What JMF referees check in a results section
- Worked micro-example (illustrative)
- Referee-pushback patterns and the venue-specific fix
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output format
- Supplementary resources
What does the jmf-data-analysis skill do?
Use when executing and reporting the analysis for a Journal of Marriage and Family (JMF) manuscript so it survives expert double-blind review — honest uncertainty, robustness, attention to selection and non-independence, and correct handling of complex-survey, longitudinal, and dyadic data. Guides analysis norms; it does not fabricate results.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jmf-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.