Experimental Analysis of Behavior Commons^™

The Effect Of Model Size On The Root Mean Square Error Of Approximation (Rmsea): The Nonnormal Case, Yunhang Yin

Theses and Dissertations

This study aimed to understand the effect of model size on the Root Mean Square Error of Approximation (RMSEA) under nonnormal data. We considered three methods for computing the sample RMSEA and the associated confidence intervals (i.e., the normal theory method [Browne & Cudeck, 1993], the BSL method [Brosseau-Liard, Savalei & Li, 2012], and the Lai method [Lai, 2020]). The performance of the three methods was compared across various model sizes, sample sizes, levels of misspecification, and levels of nonnormality. Results indicated that the normal theory RMSEA should not be used under nonnormal data unless the model size is very …