Installing and loading psychmeta | Data import | Data conversion and cleaning | Computing meta-analyses | ma_r() is the general-purpose meta-analysis function for correlations | Bare-bones meta-analyses | Moderator analyses | Multi-construct analyses | Individual-correction meta-analyses | Artifact-distribution meta-analyses | Handling dependency | Navigating meta-analysis output objects | Follow-up analyses | sensitivity() | metareg() | heterogeneity() | Results presentation | Writing formatted results tables to Word, PDF, Markdown, or other formats | Generating plots | Generating reference lists | Supplemental tools | Computing meta-analyses with pre-existing artifact distributions | Simulations | Psychometric data sets | Psychometric correlations | Psychometric d values | Multivariate range-restriction corrections | Composites | Spearman-Brown reliability estimates | Correlations between a variable and a composite or between two composites | d values of composites | Reliability of composites | Matrix regression | Matrix regression applied to meta-analytic correlations | Best practices for publishing with psychmeta: | Bibliography

Getting Started | Estimating a Barebones Meta-Analysis | Modeling Options | The psychmeta Meta-Analysis Object | Viewing Results Summaries | Moderator Analyses | Correcting for Statistical Artifacts | Outputting Results | Follow-Up Analyses | Plotting | Heterogeneity Analyses | Publication Bias and Sensitivity Analyses