Effect Size

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Authors: Tim Powers
Cited by: 0

Abstract

This fact sheet provides an applied introduction to effect size, explaining how effect-size measures complement p-values by quantifying the magnitude and practical importance of observed effects. It outlines commonly used effect-size metrics across statistical tests, discusses interpretation conventions, and highlights the role of study design and confidence intervals in meaningful reporting. The document is intended as methodological guidance for researchers, HDR students, and applied analysts across disciplines.

Fields of Study & Subjects

Meta-analysis and systematic reviews Statistical Methods in Epidemiology Statistical Methods and Bayesian Inference

Publication details

Journal / source
Monash University
Publication date
1 January 2026