Reality Bending Lab › Publications › effectsize: Estimation of Effect Size Indices and Standardized Parameters

effectsize: Estimation of Effect Size Indices and Standardized Parameters

Ben-Shachar, M., Lüdecke, D., & Makowski, D.

Journal of Open Source Software, 2020

effectsize computes and converts effect size indices — Cohen's d, Hedges' g, eta-squared, odds ratios and the rest — and standardises model parameters, with interpretation rules attached so that a number does not have to be looked up in a textbook before it can be read.

• DOI: 10.21105/joss.02815
• Full text (PDF)

Keywords: Software Development · Statistical Methods

Cite

Ben-Shachar, M., Lüdecke, D., & Makowski, D. (2020). effectsize: Estimation of Effect Size Indices and Standardized Parameters. Journal of Open Source Software. https://doi.org/10.21105/joss.02815

See also

• Methods and Algorithms for Correlation Analysis in R — Makowski, D., Ben-Shachar, M., Patil, I., & Lüdecke, D. (2020)
• Extracting, Computing and Exploring the Parameters of Statistical Models using R — Lüdecke, D., Ben-Shachar, M., Patil, I., & Makowski, D. (2020)
• bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework — Makowski, D., Ben-Shachar, M., & Lüdecke, D. (2019)