Table 9.

Fit indices in the multi-group analysis across dental and mental health patients for the second revision of the hypothetical model (R2).

Fit Indices		UC	MW	SW	SC	SR	MR
χ2		12.889	12.896	14.361	15.107	17.983	26.182
df		18	20	22	23	25	28
p		0.798	0.882	0.888	0.891	0.843	0.563
χ2/df		0.716	0.645	0.653	0.657	0.719	0.935
BS p		0.902	0.945	0.942	0.935	0.918	0.800
GFI		0.932	0.932	0.927	0.924	0.909	0.878
IFI		1	1	1	1	1	1
CFI		1	1	1	1	1	1
RMSEA (90% CI)	Point value	0	0	0	0	0	0
	LB	0	0	0	0	0	0
	UB	0.078	0.057	0.053	0.052	0.063	0.095
	p-close	0.883	0.939	0.945	0.947	0.923	0.737
SRMR		0.079	0.079	0.097	0.090	0.092	0.077

Note. Nested models in constrains for multi-group analysis: UC = Unconstrained model, MW = model with constraints on the measurement weights, SW = model with constraints on the structural weights, SC = model with constrains on the structural covariances, SR = model with constrains on the structural residuals, and MR = model 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 at the likelihood-ratio chi-square test, 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.