Skip to main content
. 2020 Feb 21;8(1):20. doi: 10.3390/dj8010020

Table 5.

Fit indices in the one-group analysis and the multi-group analysis across dental and mental health patients for the first revision of the hypothetical model (R1).

Fit Indices One-Group Multi-Group Analysis
UC MW SW SC SR MR
χ2 6.451 18.106 18.254 25.073 42.347 44.398 51.933
df 8 16 18 22 23 26 29
p 0.597 0.318 0.439 0.294 0.008 0.014 0.006
χ2/df 0.806 1.132 1.014 1.140 1.841 1.708 1.791
BS p 0.614 0.331 0.455 0.310 0.010 0.026 0.011
GFI 0.962 0.915 0.914 0.880 0.799 0.801 0.781
IFI 1 0.971 0.996 0.954 0.708 0.709 0.619
CFI 1 0.964 0.996 0.948 0.673 0.689 0.612
RMSEA (90% CI) Point value 0 0.048 0.016 0.050 0.123 0.112 0.119
LB 0 0 0 0 0.061 0.051 0.064
UB 0.134 0.137 0.120 0.126 0.180 0.168 0.170
p-close 0.689 0.462 0.593 0.461 0.030 0.048 0.025
SRMR 0.060 0.073 0.072 0.132 0.126 0.130 0.122

Note. Nested models in constrains for multi-group analysis: UC = Unconstrained model, MW = with constraints on the measurement weights, SW = with constraints on the structural weights, SC = with constraints on the structural covariances, SR = with constrains on the structural residuals, and MR = with constraints on measurement residuals. Fit indices: χ2 = likelihood ratio chi-square statistic, df = degrees of freedom for the likelihood ratio chi-square test, p = probability value under null hypothesis of goodness of fit for the likelihood ratio chi-square statistic, χ2/df = relative chi-square, BS p = Bollen–Stine bootstrap probability value (with the simulation of 1000 random samples), GFI = Jöreskog-Sörbom goodness-of-fit index, IFI = incremental fit index through Bollen’s coefficient delta-2, CFI = Bentler’s comparative fit index, RMSEA (90% CI) = point estimation and interval estimate with 90% confidence level for Steiger–Lind root mean square error of approximation, LB = lower boundary and UB = upper boundary of a two-sided 90% confidence interval for population RMSEA, p-close = probability value under null hypothesis of close fit: H0 = RMSEA ≤ 0.05, and SRMR = standardized root mean square residuals.