Repository for the online book "Guide to Effect Sizes and Confidence Intervals"
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Updated
Jan 16, 2024 - HTML
Repository for the online book "Guide to Effect Sizes and Confidence Intervals"
Effect size calculator within a number of contexts
Effect size measures
This program allows users to reproduce the meta-analysis results from [L. Gardy et al., 2021] and [S. Joubert et al., 2021], or to perform new meta-analyses on other data using the same process and code.
Functions related to standardized moderation effect
This is supplementary material for the manuscript: Tiwari, S. R., Vigotsky, A. D., & Apkarian, A. V. (2022). On the relationship between pain variability and relief in randomized clinical trials. Frontiers in Pain Research, 3.
A collection of functions for computing effect sizes of interactions for meta-analysis.
This repo implements scalable, reusable Python scripts to compute key effect size metrics—including Pearson’s r, Eta-squared, Partial Eta-squared, and Cohen’s d—to help quantify relationships and differences in data for statistical analysis.
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