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Examining The Type I Error And Power Of 18 Common Post-Hoc Comparison Tests, Derek Sauder
Examining The Type I Error And Power Of 18 Common Post-Hoc Comparison Tests, Derek Sauder
Masters Theses, 2010-2019
Researchers utilizing either experimental or quasi-experimental research often want to compare group means. However, with more than two groups, comparing group means may result in an inflated Type I error rate, the probability of wrongly rejecting a null hypothesis. Researchers often employ analysis of variance (ANOVA) methodology to compare more than two group means. Post-hoc comparison procedures (PCPs) are utilized to indicate which group means differ following a significant ANOVA. SPSS provides 18 options for PCPs. The purpose of this study was to determine which PCP provides the best power while maintaining Type I error control when assumptions of ANOVA …