Table 3.

Goodness of fit indices for the two- and four-factorial A-C model.

Sample	N	χ2	df	CFI	TLI	RMSEA	SRMR	AIC	Sample-size adjusted BIC
TWO-FACTORIAL MODEL
Overall	1808	756.02	137	0.93	0.91	0.05	0.05	88235.55	88451.60
1 Germany	670	428.68	150	0.90	0.88	0.05	0.05	32731.10	32837.56
2 France	250	281.62	156	0.91	0.89	0.06	0.06	11636.57	11662.57
3 Australia	140	267.08	163	0.85	0.83	0.07	0.08	6671.54	6656.65
4 Poland	364	346.29	144	0.91	0.88	0.06	0.07	18353.89	18416.20
5 China	244	276.47	159	0.92	0.90	0.06	0.06	10802.78	10826.02
6 USA	140	316.81	163	0.84	0.81	0.08	0.09	6246.91	6232.02
FOUR-FACTORIAL MODEL
Overall	1808	606.94	132	0.95	0.93	0.05	0.04	88096.48	88324.14
1 Germany	670	384.16	145	0.92	0.89	0.05	0.05	32696.58	32809.69
2 France	250	269.69	151	0.91	0.89	0.06	0.06	11634.64	11662.39
3 Australia	140	230.44	158	0.90	0.88	0.06	0.07	6644.90	6628.90
4 Poland	364	313.10	139	0.92	0.90	0.06	0.06	18334.01	18396.63
5 China	244	262.00	154	0.93	0.91	0.05	0.06	10798.32	10823.19
6 USA	140	250.43	158	0.90	0.88	0.07	0.08	6190.53	6174.53

CFI = Comparative Fit Index; TLI = Tucker-Lewis Index; RMSEA = Root Mean Square Error of Approximation; SRMR = Standardized Root Mean Square Residual; AIC = Akaike Information Criterion; BIC = Bayesian Information Criterion. Modell comparison: Smaller respective AIC and BIC values presented in bold.