devpsych-data-analysis
Use when analyzing and reporting results for a Developmental Psychology (APA) manuscript. The journal expects analyses that model developmental change correctly — growth-curve/multilevel/SEM, mediation/moderation, measurement invariance — with effect sizes and confidence intervals, JARS-compliant disclosure, and a clear confirmatory/exploratory split. Guides analysis norms; it does not fabricate results.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill devpsych-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 (devpsych-data-analysis) Developmental Psychology holds analyses to a developmental and a credibility standard at once: the model must actually capture **change** (not just a cross-sectional snapshot), and reporting must meet **JARS** — **effect sizes with confidence intervals**, full disclosure, and a clean **confirmatory vs. exploratory** split. The most common fatal error is interpreting trajectories without first establishing that the construct is measured the same way across ages. ## When to trigger - Fitting growth-curve / multilevel / SEM models, or mediation/moderation of developmental effects - A reviewer asked for measurement invariance, effect sizes, intervals, or attrition handling - Reconciling preregistered developmental hypotheses with exploratory trajectory findings - Preparing analysis scripts and a data dictionary for deposit ## Reporting norms Developmental Psychology expects 1. **Model change correctly.** Use the method the claim requires: **latent growth / multilevel models** for trajectories, **SEM** for latent constructs, **cross-lagged / RI-CLPM** for reciprocal effects, **mediation/moderation** for mechanism and moderated change. State time
- When to trigger
- Reporting norms Developmental Psychology expects
- Worked micro-example (illustrative numbers)
- Analysis-stage reviewer pushback and the venue fix
- Calibration anchors
- Anti-patterns
- Output format
- Supplementary resources
What does the devpsych-data-analysis skill do?
Use when analyzing and reporting results for a Developmental Psychology (APA) manuscript. The journal expects analyses that model developmental change correctly — growth-curve/multilevel/SEM, mediation/moderation, measurement invariance — with effect sizes and confidence intervals, JARS-compliant disclosure, and a clear confirmatory/exploratory split. Guides analysis norms; it does not fabricate results.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill devpsych-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.