psychbull-meta-analysis-methods
Use when computing effect sizes and fitting the meta-analytic model for a Psychological Bulletin manuscript — effect-size metrics, random-effects vs. fixed-effect choice, dependent effect sizes (RVE / multilevel), and heterogeneity (Q, I², τ², prediction interval). Guides the core synthesis; moderators and bias diagnostics live in psychbull-moderators-and-bias.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychbull-meta-analysis-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.
# Meta-Analysis Methods (psychbull-meta-analysis-methods) This is the quantitative core of a Psychological Bulletin meta-analysis: turning coded study statistics into **effect sizes**, pooling them under a defensible **model**, and characterizing **heterogeneity** honestly. Psychological Bulletin expects **MARS**-compliant methods. This skill covers estimation; moderators and publication-bias diag
What does the psychbull-meta-analysis-methods skill do?
Use when computing effect sizes and fitting the meta-analytic model for a Psychological Bulletin manuscript — effect-size metrics, random-effects vs. fixed-effect choice, dependent effect sizes (RVE / multilevel), and heterogeneity (Q, I², τ², prediction interval). Guides the core synthesis; moderators and bias diagnostics live in psychbull-moderators-and-bias.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychbull-meta-analysis-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.