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Psychology: Research and Review

Table 7 Models’ comparison for invariance tests for URS for gender invariance (subsample from samples CFA1 and CFA2: N = 520; 268 females; 252 males)

From: Factorial validity and measurement invariance of the uncertainty response scale

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

1050.663

538

   

.90

.043

   

Metric invariance

Same factor structure and factor loadings

M2-M1

1077.083

560

26.420

22

.234

.90

.042

− .001

− .001

.002

Scalar invariance

Same factor structure, factor loadings, and intercepts

M3-M2

1167.271

585

90.189

25

< .001

.89

.044

− .012

.002

.000

Error variance invariance

Same factor structure, factor loadings, and error variances

M4-M3

1169.948

591

2.676

6

.848

.89

.043

.001

− .001

.001

Structural invariance

Same factor structure, factor loadings, error variances, and factors’ covariance

M5-M4

1211.157

616

41.209

25

.022

.89

.043

− .003

0

.001

  1. 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