Table 2.

Author(s), Best Fitting Model Reported, Sample Size, and Description for Confirmatory Factor-Analytic Studies (n = 8)

Study	Form	Best Fitting Model	Goodness-of-fit indices				N	Sample Description
			SRMRa	TLIb	CFIc	RMSEAd
Full scale
Original validation: Stefanis et al14	Greek CAPE-40	3 correlated factors	—	—	—	0.045	932	Greek young men undergoing compulsory military service aged 18–24
Brenner et al38	English & French	3 correlated factors, with 19 items deleted	—	—	0.739	—	Random half of 2275	Canadian general population (49.5% male; Mean age = 26)
Fonseca-Pedrero et al39	Spanish	3 correlated factors	1.803	0.885	0.825	0.079	660	Spanish university students (29.5% male; Mean age = 20.3)
Vleeschouwer et al37	Dutch P&P; O	3 correlated factors with 2 residual correlations	—	P&P: 0.95 O: 0.94	P&P: 0.86 O: 0.80	P&P/O: 0.05	P&P: 796; O: 21590	Dutch general population (38.5% male; Mean age = 41.0)
Positive dimension
Capra et al49	English	3 correlated factors, with 5 items deleted	—	0.938	0.976	0.027	1610	Australian university students (24% male; Mean age = 22.1)
Wigman et al67	English	5 correlated factors	—	—	0.92	0.038	2230	Dutch adolescents in the general population (49% male; Mean age = 11.1)
Wigman et al50	Language not specified	5 correlated factors (across T1, T2, T3)	—	—	T1: 0.959 T2: 0.987 T3: 0.990	T1: 0.030 T2: 0.019 T3: 0.016	566	Caucasian Belgian women (Mean age = 27.3)
Ziermans48	Swedish	4 correlated factors, allowing error terms of 3 item pairs to correlate	—	—	0.93	0.04	1012	Swedish adolescents and young adults (Mean age = 24.4)

Note: Figures in bold denote acceptable values for goodness of fit indices.

^aSRMR, Standardized root mean square residual; it is generally established that SRMR should be inferior to 0.08 for a good fit of the model data.

^bTLI, Tucker-Lewis Index; it is generally established that TLI should be superior to 0.95 for a good fit of the model data.

^cCFI, Comparative fit index; it is generally established that CFI should be superior to 0.95 for a good fit of the model data.

^dRMSEA, Root Mean Square Error of Approximation; it is generally established that RMSEA should be inferior to 0.06 for a good fit of the model data.