psychbull-moderators-and-bias
Use when explaining heterogeneity and probing robustness in a Psychological Bulletin meta-analysis — moderator/subgroup analysis, meta-regression, and publication-bias diagnostics (funnel, Egger, trim-and-fill, PET-PEESE, p-curve, selection models) plus sensitivity analyses. Extends the core model; estimation lives in psychbull-meta-analysis-methods.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychbull-moderators-and-bias --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.
# Moderators & Publication Bias (psychbull-moderators-and-bias) Once a pooled effect and its heterogeneity exist, two questions decide the paper's credibility: **what explains the variation** (moderators), and **is the effect an artifact of selective reporting** (publication bias). Psychological Bulletin reviewers scrutinize both, and **MARS** requires reporting bias assessment. This skill extends the core model in `psychbull-meta-analysis-methods`. ## When to trigger - Testing pre-specified moderators / meta-regression to explain heterogeneity - Running publication-bias diagnostics - A reviewer asks for sensitivity / robustness analyses - Reconciling conflicting signals across bias tests ## Moderators & meta-regression - **Pre-specify** moderators in the protocol; treat unplanned ones as **exploratory** and label them. - Use **mixed-effects meta-regression** (categorical subgroups and continuous moderators); report the moderator coefficient, its CI, **residual heterogeneity**, and **R² analog** (variance explained). - Beware **ecological/aggregation** bias (study-level moderators ≠ individual-level), **multiple testing** across many moderators, and **confounded** moderators; inter
- When to trigger
- Moderators & meta-regression
- Publication-bias diagnostics (run several, not one)
- Sensitivity & robustness
- Anti-patterns
- What Psychological Bulletin referees demand here
- Worked vignette — bias and moderators on an intervention synthesis
- Referee pushback → venue-specific fix
- Output format
- Supplementary resources
What does the psychbull-moderators-and-bias skill do?
Use when explaining heterogeneity and probing robustness in a Psychological Bulletin meta-analysis — moderator/subgroup analysis, meta-regression, and publication-bias diagnostics (funnel, Egger, trim-and-fill, PET-PEESE, p-curve, selection models) plus sensitivity analyses. Extends the core model; estimation lives in psychbull-meta-analysis-methods.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychbull-moderators-and-bias --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.