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meta-analysis-psych

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Pool study effects with bias checks.

Education & Research#meta-analysis#random-effects#publication-bias#egger-test#forest-plot#hedges-g#p-curve
Authorxjtulyc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you combine effect sizes across multiple psychology studies into a single quantitative estimate while also measuring heterogeneity and probing publication bias.

Core Features & Use Cases

  • Effect size computation: Derive Cohen's d and small-sample corrected Hedges' g from common summary statistics (means/SDs and n, t, or F).
  • Random-effects meta-analysis: Perform DerSimonian-Laird pooling and report heterogeneity (Q, I², τ²) with confidence intervals and p-values.
  • Publication bias diagnostics: Run funnel-plot oriented tests and corrections including Egger test, trim-and-fill (mentioned), PET-PEESE regression correction, and p-curve analysis.
  • Visualization & sensitivity: Generate forest plots (with summary diamond) and support downstream robustness checks such as leave-one-out style workflows.

Quick Start

Use the meta-analysis-psych skill to run a random-effects meta-analysis from your study-level dataset and automatically produce the pooled Hedges' g estimate plus heterogeneity and publication-bias outputs.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: meta-analysis-psych
Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#meta-analysis-psych

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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