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. 2022 Jan 5;10(1):104–120. doi: 10.1080/21642850.2021.2019585

Table 2.

Fit indexes of alternative measurement models of MBI-HSS-MP.

Model χ2 df p CFI TLI BIC RMSEA [90% CI] SRMR
Model 1. Three-factor 22 items 921 167 <0.001 0.96 0.95 1528 0.05 [0.05–0.06] 0.06
Model 2. Three-factor 20 items 1443 160 <0.001 0.87 0.85 1796 0.08 [0.08–0.09], 0.07
Model 3. Second-order three-factor 22 items 925 167 <0.001 0.93 0.93 1650 0.07 [0.06–0.07] 0.06
Model 4. Second-order three-factor 20 items 1464 161 <0.001 0.86 0.84 1810 0.08 [0.08–0.09] 0.07
Model 5. Bi-factor 22 items 938 167 <0.001 0.89 0.88 1700 0.07 [0.07–0.08] 0.06
Model 6. Bi-factor 20 items 1460 161 <0.001 0.88 0.88 1800 0.08 [0.08–0.09] 0.07

χ2 – normal theory weighted least squares chi-square; df – degrees of freedom; CFI – comparative fit index; TLI – Tucker–Lewis index; BIC – Bayesian information criteria; RMSEA – root mean square error of approximation; SRMR – standardized root mean square residual.