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Cut-off Points for RMSEA and SRMR in Structural Equation Modeling Using ULS and RULS

Francisco Pablo Holgado-Tello et al.

Journal of Modern Applied Statistical Methods2026https://doi.org/10.53941/jmasm.2026.100001article
ABDC B
Weight
0.50

Abstract

By means of simulation studies manipulating four factors (number of factors, number of categories, skewness and sample size), the objectives are: To analyze the type I error and the power of the fit indices, such as RMSEA and SRMR obtained using the ULS and RULS methods; and, the ROC curve to review the cut-off points of RMSEA and SRMR.

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https://doi.org/https://doi.org/10.53941/jmasm.2026.100001

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@article{francisco2026,
  title        = {{Cut-off Points for RMSEA and SRMR in Structural Equation Modeling Using ULS and RULS}},
  author       = {Francisco Pablo Holgado-Tello et al.},
  journal      = {Journal of Modern Applied Statistical Methods},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.53941/jmasm.2026.100001},
}

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Cut-off Points for RMSEA and SRMR in Structural Equation Modeling Using ULS and RULS

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0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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