JMASM 47: ANOVA_HOV: A SAS Macro for Testing Homogeneity of Variance in One-Factor ANOVA Models (SAS)

Authors

Isaac Li, University of South Florida, Tampa, FLFollow
Yi-Hsin Chen, University of South Florida, Tampa, FL
Yan Wang, University of South Florida, Tampa, FL
Patricia Rodríguez de Gil, University of South Florida, Tampa, FL
Thanh Pham, University of South Florida, Tampa, FL
Diep Nguyen, University of South Florida, Tampa, FL
Eun Sook Kim, University of South Florida, Tampa, FL
Jeffrey D. Kromrey, University of South Florida, Tampa, FL

Abstract

Variance homogeneity (HOV) is a critical assumption for ANOVA whose violation may lead to perturbations in Type I error rates. Minimal consensus exists on selecting an appropriate test. This SAS macro implements 14 different HOV approaches in one-way ANOVA. Examples are given and practical issues discussed.

DOI

10.22237/jmasm/1509496080

Recommended Citation

Li, I., Chen, Y.-H., Wang, Y., de Gil, P. R., Pham, T., Nguyen, D., Kim, E. S., & Kromrey, J. D. (2017). JMASM 47: ANOVA_HOV: A SAS Macro for Testing Homogeneity of Variance in One-Factor ANOVA Models (SAS). Journal of Modern Applied Statistical Methods, 16(2), 506-539. doi: 10.22237/jmasm/1509496080