Effect Size and Power in Assessing Moderating Effects of Categorical Variables Using Multiple Regression: A 30-Year Review.
University of Colorado Denver · Midwest Orthopaedic Research Foundation · +1 more institution
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…
Citation impact
- FWCI
- 18.34
- Percentile
- 100%
- References
- 75
Authors
4Topics & keywords
- Moderation
- Categorical variable
- Psychology
- Statistics
- Sample size determination
- Econometrics
- Regression analysis
- Regression