Table 1. Confirmatory factor analyses (CFA) testing different factorial assumptions (long version).

Model (id)	Factors	para	χ2b	CFIc	RMSEAd	SRMRe
1-dim (1)	1	485	12341.2	0.851	0.057	0.090
2-dim (2)	2	486	11584.6	0.865	0.054	0.087
4-dim (3)	4	491	11019.2	0.876	0.052	0.084
2+bifactor (4)	2	582	9286.3	0.907	0.046	0.070*
4+bifactor (5)	4	582	9099.5*	0.911*	0.045*	0.072
2-dim hierarchical (6a)i	(2)	(487)	(21882.8)	(0.667)	(0.085)	(0.087)
2-dim hierarchical (6b)	2	486	11584.6	0.865	0.054	0.087
4-dim hierarchical (7a)	4	489	11089.0	0.875	0.052	0.085
4-dim hierarchical (7b)	4	486	11397.4	0.869	0.054	0.086

^apar: number of estimated parameters.

^bchi-square statistic

^cCFI: Comparative Fit Index.

^dRMSEA: Root Mean Squared Error of Approximation.

^eSRMR: Standard Root Mean Residual.

*Best fit indices are highlighted with asterisks.

ⁱ For model 6a standard errors could not be computed and the information matrix could not be inverted. This may be a symptom of a non-identifiable model. Therefore, the parameters of this model are shown in parenthesis.