TY - DATA T1 - Assessing Fit in Structural Equation Models: A Monte-Carlo Evaluation of RMSEA Versus SRMR Confidence Intervals and Tests of Close Fit PY - 2017/11/14 AU - Alberto Maydeu-Olivares AU - Dexin Shi AU - Yves Rosseel UR - https://tandf.figshare.com/articles/journal_contribution/Assessing_Fit_in_Structural_Equation_Models_A_Monte-Carlo_Evaluation_of_RMSEA_Versus_SRMR_Confidence_Intervals_and_Tests_of_Close_Fit/5598964 DO - 10.6084/m9.figshare.5598964.v1 L4 - https://ndownloader.figshare.com/files/9742846 KW - goodness-of-fit indexes KW - model selection N2 - We compare the accuracy of confidence intervals (CIs) and tests of close fit based on the root mean square error of approximation (RMSEA) with those based on the standardized root mean square residual (SRMR). Investigations used normal and nonnormal data with models ranging from p = 10 to 60 observed variables. CIs and tests of close fit based on the SRMR are generally accurate across all conditions (even at p = 60 with nonnormal data). In contrast, CIs and tests of close fit based on the RMSEA are only accurate in small models. In larger models (p ≥ 30), they incorrectly suggest that models do not fit closely, particularly if sample size is less than 500. ER -