Use of the Extreme Groups Approach: A Critical Reexamination and New Recommendations.
University of North Carolina at Chapel Hill · The Ohio State University · +1 more institution
Abstract
Analysis of continuous variables sometimes proceeds by selecting individuals on the basis of extreme scores of a sample distribution and submitting only those extreme scores to further analysis. This sampling method is known as the extreme groups approach (EGA). EGA is often used to achieve greater statistical power in subsequent hypothesis tests. However, there are several largely unrecognized costs associated with EGA that must be considered. The authors illustrate the effects EGA can have on power, standardized effect size, reliability, model specification, and the interpretability of results. Finally, the authors discuss alternative procedures, as well as possible legitimate uses of EGA. The authors urge…
Citation impact
- FWCI
- 11.22
- Percentile
- 100%
- References
- 84
Authors
4Topics & keywords
- Interpretability
- Reliability (semiconductor)
- Sample size determination
- Sampling (signal processing)
- Sample (material)
- Statistical analysis
- Psychology
- Econometrics