Table 6. Model fit indices for the multigroup measurement invariance models of the Faux Pas Recognition Test.

Model	χ2 (df)	p	RMSEA	Δ χ2 (df)	p	RMSEA 90% CI	CFI	TLI
			Subscale 1 –stories with faux pas
Configurala	23.516(15)	0.073	0.047	-	-	0.000–0.082	0.988	0.975
Scalarb	28.633(21)	0.123	0.038	6.177(6)	0.403	0.000–0.070	0.989	0.984
Strictd	46.41(31)	0.037	0.044	17.896(10)	0.056	0.011–0.069	0.978	0.978
			Subscale 2 –stories without faux pas
Configurala	17.272(15)	0.303	0.024	-	-	0.000–0.067	0.994	0.988
Scalarb	32.784(21)	0.048	0.047	14.284(6)	0.026	0.004–0.077	0.968	0.954
Scalarc	20.310(19)	0.376	0.016	3.393(4)	0.494	0.000–0.058	0.996	0.994
Strictd	36.522(27)	0.104	0.037	4.952(6)	0.550	0.000–0.066	0.974	0.971

Note. χ2 = chi-square goodness-of-fit statistic; df = degrees of freedom; TLI = Tucker–Lewis Index; CFI = comparative fit index; RMSEA = root mean square error of approximation; CI = confidence interval

^a Factor loadings and thresholds freely estimated

^b Factor loadings and thresholds constrained (without modifications).

^c Factor loadings and thresholds constrained (after modification)

^d Factor loadings, thresholds and residual variances constrained.