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Psychology: Research and Review

Table 8 Models’ comparison for invariance tests for URS for sociocultural level invariance (joining samples 2 and 3, N = 1084)

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

1717.985

807

   

.92

.032

   

Metric invariance

Same factor structure and factor loadings

M2-M1

1777.097

851

59.111

44

.064

.92

.032

− .002

0

.001

Scalar invariance

Same factor structure, factor loadings, and intercepts

M3-M2

1876.510

901

99.413

50

< .001

.92

.032

− .004

0

.000

Error variance invariance

Same factor structure, factor loadings, and error variances

M4-M3

1888.243

913

11.734

12

.467

.92

.031

0

− .001

.007

Structural invariance

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

M5-M4

2001.239

969

112.996

56

< .001

.91

.031

− .005

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