Factorial validity and measurement invariance of the uncertainty response scale

Psicologia: Reflexão e Crítica

Psychology: Research and Review

Table 9 Models’ comparison for invariance tests for URS for students and professionals invariance (joining samples 2 and 3; N = 1084)

Invariance level	Definition	Model	χ²	df	Δ χ²	Δ df	p	CFI	RMSEA	Δ CFI	Δ RMSEA	Δ SRMR
Configural invariance	Same factor structure	M1	1345.358	538				.93	.037
Metric invariance	Same factor structure and factor loadings	M2-M1	1388.303	560	42.946	22	.005	.93	.037	− .002	0	.001
Scalar invariance	Same factor structure, factor loadings, and intercepts	M3-M2	1483.317	585	95.013	25	< .001	.92	.038	− .006	.001	.000
Error variance invariance	Same factor structure, factor loadings, and error variances	M4-M3	1486.278	591	2.962	6	.814	.92	.037	0	− .001	.000
Structural invariance	Same factor structure, factor loadings, error variances, and factors’ covariance	M5-M4	1576.363	619	90.085	28	< .001	.92	.038	− .005	.001	.000

χ² Chi-square, df degrees of freedom, Δ χ² difference between model’s χ², Δ df difference between models’ df, p p value, CFI comparative fit index, RMSEA root mean square error of approximation, Δ CFI difference between model’s CFI’s, Δ RMSEA difference between model’s RMSEA, Δ SRMR difference between model’s standardized root mean square residuals, M1 to M5 models tested