. Author manuscript; available in PMC: 2018 Apr 1.

Published in final edited form as: Psychopharmacology (Berl). 2017 Jan 27;234(8):1209–1216. doi: 10.1007/s00213-017-4535-7

Table 3.

Evaluation of measurement invariance by AUC_NET1, AUC_NET2 and AUC_NET3 on the exploratory factor analysis solution for combined AUC_NETS.

	X² (df)	TLI	CFI	RMSEA [90% CI]	SRMR
Configurai invariance
Model 1	363.6 (207)	.886	.914	.049 [.041–.058]	.082
Metric invariance
Model 2	416.9 (237)	.886	.901	.050 [.042–.057]	.102
Δ in fit from model 1	53.3 (30)	.000	−.013	.001	.020

Scalar Invariance
Model 3	469.8 (265)	.884	.887	.050 [.043–.057]	.105
Δ in fit from model 2	52.2 (28)	−.002	−.014	.000	.003

TLI: Tucker-Lewis Index; CFI: Comparative Fit Index; RMSEA: root mean square error of approximation; SRMR: standardize root mean square residual