Software & Data
Tools from my lab’s methods work, alongside the data and code behind individual papers.
R packages
metameta
Calculates and visualises study-level statistical power in meta-analyses across a range of hypothetical effect sizes. It can be used to reanalyse published meta-analyses from standard forest plot information, or applied to a new one. Key functions are mapower_se() and mapower_ul() for power estimates, and firepower() for plots comparing median power across several meta-analyses.
devtools::install_github("dsquintana/metameta")ESDist
Calculates and visualises field-specific effect size distributions from data extracted from meta-analyses, so that empirical benchmarks can replace generic rules of thumb. Includes publication-bias-adjusted variants, and esd_perc() for locating a given effect within its field’s distribution. Written by Bernt Glaser; I’m a co-author on the accompanying tutorial.
devtools::install_github("berntgl/ESDist")Data and code
Data, analysis scripts, and preregistrations for individual papers are linked directly from each entry on the Publications page, so they sit next to the study they belong to rather than in a separate index. Most live on OSF; some are on GitHub.