2017
DOI: 10.1080/10705511.2017.1390394
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Examination of the Weighted Root Mean Square Residual: Evidence for Trustworthiness?

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Cited by 278 publications
(226 citation statements)
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“…Accordingly, the final model was selected based on the weighted root mean square residual (WRMR) as the fit index. According to Yu and Muthén () and DiStefano, Liu, Jiang, and Shi (), a good fitting model has WRMR values below 0.9. The current model had a WRMR value of 0.53, thus indicating a good fit.…”
Section: Resultsmentioning
confidence: 99%
“…Accordingly, the final model was selected based on the weighted root mean square residual (WRMR) as the fit index. According to Yu and Muthén () and DiStefano, Liu, Jiang, and Shi (), a good fitting model has WRMR values below 0.9. The current model had a WRMR value of 0.53, thus indicating a good fit.…”
Section: Resultsmentioning
confidence: 99%
“…RMSEA ranges from 0 to 1.0, with .08 or less indicating adequate model fit. WRMR ranges from 0 to 1, with lower values indicating better model fit (DiStefano, Liu, Jiang, & Shi, 2018). Although there is less simulation research on the WRMR, preliminary evaluation suggests a value of 1.0 or less indicates adequate model fit.…”
Section: Confirmatory Factor Analysesmentioning
confidence: 99%
“…Values ≥0.90 were seen as acceptable and values ≥0.95 as good model fit for the CFI and TLI, whereas RMSEA values ≤0.80 and ≤0.50 were considered as acceptable and good model fit, respectively (Browne & Cudeck, 1992;Hu & Bentler, 1999). For the WRMR, estimates around one were seen as good model fit (DiStefano, Liu, Jiang, & Shi, 2018;Yu, 2002). The difference in fit between the 3-factor and 2-factor models was statistically tested using the Mplus DIFFTEST procedure, which computes differences in χ 2 values of nested models.…”
Section: Statistical Analysesmentioning
confidence: 99%