Related Experiment Video
Updated: Jul 12, 2026

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
Published on: June 25, 2019
Effect size and power in assessing moderating effects of categorical variables using multiple regression: a 30-year
Herman Aguinis1, James C Beaty, Robert J Boik
1The Business School, University of Colorado at Denver, Denver, CO 80217, USA. herman.aguinis@cudenver.edu
Abstract:
The authors conducted a 30-year review (1969-1998) of the size of moderating effects of categorical variables as assessed using multiple regression. The median observed effect size (f(2)) is only .002, but 72% of the moderator tests reviewed had power of .80 or greater to detect a targeted effect conventionally defined as small. Results suggest the need to minimize the influence of artifacts that produce a downward bias in the observed effect size and put into question the use of conventional definitions of moderating effect sizes. As long as an effect has a meaningful impact, the authors advise researchers to conduct a power analysis and plan future research designs on the basis of smaller and more realistic targeted effect sizes.
More Related Videos
Related Concept Videos
Factorial Design
Regression Toward the Mean
One-Way ANOVA: Unequal Sample Sizes
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the means for...
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Friedman Two-way Analysis of Variance by Ranks

