The Adequacy of Repeated-Measures Regression for Multilevel Research
评估重复测量回归在四种常见多层次研究设计中的适用性，发现其仅适用于少数情况，而重复测量方差分析、多元重复测量方差分析和多层次建模在大多数情况下更合适。
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.