Table 5.
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.