Table 4 Measurement Invariance analysis on CFA sample (n = 262) across native and non-native English speakers.

From: An inventory of human light exposure behaviour

 

\(\chi ^{2}\)

df

CFI

TLI

RMSEA

RMSEA 90% Lower CI

RMSEA 90% Upper

\(\Delta\) \(\chi ^{2}\)

\(\Delta\) df*

p

Configural

632.20

442

0.95

0.94

0.06

0.05

0.07

–

–

–

Metric

643.06

458

0.95

0.95

0.06

0.04

0.07

18.254a

16

0.309

Scalar

711.87

522

0.95

0.95

0.05

0.04

0.06

68.221b

64

0.336

Residual

711.87

522

0.95

0.95

0.05

0.04

0.06

0c

0

NA

  1. df degrees of freedom, CFI comparative fit index, TLI Tucker Lewis Index, RMSEA root mean square error of approximation, CI confidence interval, SRMR standardised root mean square.
  2. a = Metric vs Configural; b = Scalar vs Metric; c = Residual vs Scalar; * = df of model comparison.
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