jpsp-study-design
Use when designing the multi-study package for a Journal of Personality and Social Psychology (JPSP) manuscript — sequencing studies, powering each one, choosing experimental / longitudinal / dyadic designs, and planning preregistration. Designs the study set; it does not collect or fabricate data.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpsp-study-design --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.
# Study Design — The Multi-Study Package (jpsp-study-design) This is the skill that most distinguishes JPSP from short-report journals. A JPSP paper is a **coherent set of related studies** built to test a theory, not a single experiment. The package must *converge*: each study should add something the previous one could not establish, and the set should withstand the question "could one study break the whole story?" ## When to trigger - Planning the sequence and roles of studies in the package - Powering each study and the package as a whole - Choosing designs (experiment, survey, longitudinal, dyadic/APIM, intensive-longitudinal, archival) - Deciding what to preregister and what is exploratory ## Designing the package 1. **Give every study a job.** A common arc: **establish** the effect → test the **mechanism** (mediation/process) → probe **boundary conditions / moderators** → demonstrate **generalization** (population, context, method). Avoid a pile of near-identical replications. 2. **Triangulate methods.** Combine, e.g., an experiment (causal) with a field/longitudinal study (external validity) so the package is robust to any single design's weaknesses. 3. **Mind the section's
- When to trigger
- Designing the package
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Post-credibility-revolution power calibration
- Worked vignette: powering a three-study ASC package
- Output format
- Supplementary resources
What does the jpsp-study-design skill do?
Use when designing the multi-study package for a Journal of Personality and Social Psychology (JPSP) manuscript — sequencing studies, powering each one, choosing experimental / longitudinal / dyadic designs, and planning preregistration. Designs the study set; it does not collect or fabricate data.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpsp-study-design --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.