Abstract
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.
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ACKNOWLEDGMENTS
The authors acknowledge the Research Computing Center at the University of South Carolina and the High Performance Computing Center at Weifang University for providing the computing resources used to obtain the results reported in this article.
FUNDING
This research was supported by the National Science Foundation under Grant No. SES-1659936.
Supplemental Material
Supplemental data for this article can be accessed at http://www.tandfonline.com/HSEM