jcp-methods
Use when designing or stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations, controls and confounds, manipulation checks, power, the multi-study chain, and pre-registration. Designs the studies that test the process; it does not analyze them (jcp-data-analysis).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-methods --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.
# Experimental Design & Methods (jcp-methods) ## When to trigger - You have a mechanism but are unsure which experiments can actually isolate it - A reviewer questions whether your manipulation moves the construct it claims to - Mediation rests on a single measured mediator and you need stronger process evidence - Sample sizes were chosen by convention, not by an a priori power analysis - You are deciding whether to pre-register, or whether to take the Registered Report route (待核实) ## JCP's design bar: causal isolation of a psychological process JCP is an **experimental journal**: random assignment, manipulated independent variables, and measured (or manipulated) mediators are the default. The design must do more than show an effect — it must **rule out that the effect is anything other than the proposed process**. Since the rigor reforms of the 2010s, JCP reviewers expect adequately powered cells, clean manipulations with checks, pre-registered confirmatory studies where feasible, and a multi-study package whose studies each test a different link in the causal chain rather than re-running the same demonstration. ## The multi-study chain A persuasive JCP package walks the mechanism
- When to trigger
- JCP's design bar: causal isolation of a psychological process
- The multi-study chain
- Manipulations, controls, and confounds
- Power and samples
- Pre-registration and transparency as design choices
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the jcp-methods skill do?
Use when designing or stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations, controls and confounds, manipulation checks, power, the multi-study chain, and pre-registration. Designs the studies that test the process; it does not analyze them (jcp-data-analysis).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-methods --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.