Effect sizes (ES) are usually required by journal editors to help readers to better understand research outcomes. However, ES should be understood and, when reported, researcher must provide not only which ES metric is used (Hedge’s g, Cohen’s d, and the Glass Δ,  η2 and ηp2 …) but also additional information such as sample sizes and statistical …

Continue reading ‘Worth reading: A Critical Perspective on Effect Sizes (Quentin A., 2022)’ »