. Author manuscript; available in PMC: 2024 Mar 25.

Published in final edited form as: Collabra Psychol. 2023 Jun 15;9(1):77837. doi: 10.1525/collabra.77837

Table 3.

Model fit statistics for measurement invariance tests including one wave from each of five samples

Model	χ²(df)	RMSEA [90% CI]	CFI	AIC	Model Comparisons Δχ² (Δdf)	p for Δχ²

1. Configural Invariance	551.96 (40)	0.077 [0.071, 0.083]	0.957	177424
2A. Metric Invariance	651.06 (56)	0.070 [0.065, 0.075]	0.950	177492	1 vs 2A = 99.10 (16)	<.001
2B. Partial Metric Invariance	582.70 (52)	0.069 [0.064, 0.074]	0.955	177431	1 vs 2B = 30.74 (12)	.002
3. Scalar Invariance ⁱ	1343.26 (68)	0.093 [0.089, 0.097]	0.892	178160	2B vs 3 = 760.57 (16)	<.001

ⁱ

The scalar invariance model allowed for partial metric invariance – i.e. factor loadings of the TV item were allowed to vary across groups. Retained models are in bold.