The Adequacy of Repeated-Measures Regression for Multilevel Research: Comparisons With Repeated-Measures ANOVA, Multivariate Repeated-Measures ANOVA, and Multilevel Modeling Across Various Multilevel Research Designs

摘要

The authors assess the suitability of repeated-measures regression (RMR) to analyze multilevel data in four popular multilevel research designs by comparing results of RMR analyses to results of analyses using techniques known to produce correct results in these designs. The findings indicate that RMR may be suitable for only a small number of situations and that repeated-measures ANOVA, multivariate repeated-measures ANOVA, and multilevel modeling may be better suited to analyze multilevel data under most circumstances. The authors conclude by offering recommendations regarding the appropriateness of the different techniques given the different research designs.