Table 2. Model fit of alternative one-...

Table 2.

Model fit of alternative one- and two-factor models and the hypothesised three-factor model

Model	χ²	df	p	RMSEA (90%CI)	CFI	SRMR	AIC	BIC	Δχ²	Δdf
One-factor model	6,431.59	189	0.001	0.13 [0.12–0.13]	0.40	0.25	15,634.86	15,908.07	4,972.49^b	4
Gender–Age^a	3,236.51	188	0.001	0.09 [0.08–0.09]	0.71	0.09	12,441.74	12,719.18	1,777.41^b	3
Gender–Ethnicity^a	4,207.89	188	0.001	0.10 [0.10–0.11]	0.61	0.21	13,413.72	13,691.16	2,748.79^b	3
Age–Ethnicity^a	4,130.40	188	0.001	0.10 [0.10–0.11]	0.62	0.21	13,335.72	13,613.16	2,671.30^b	3
Three-factor model	1,459.10	185	0.001	0.05 [0.05–0.06]	0.90	0.05	10,670.34	10,960.79

Model	χ²	df	p	RMSEA (90%CI)	CFI	SRMR	AIC	BIC	Δχ²	Δdf
One-factor model	6,431.59	189	0.001	0.13 [0.12–0.13]	0.40	0.25	15,634.86	15,908.07	4,972.49^b	4
Gender–Age^a	3,236.51	188	0.001	0.09 [0.08–0.09]	0.71	0.09	12,441.74	12,719.18	1,777.41^b	3
Gender–Ethnicity^a	4,207.89	188	0.001	0.10 [0.10–0.11]	0.61	0.21	13,413.72	13,691.16	2,748.79^b	3
Age–Ethnicity^a	4,130.40	188	0.001	0.10 [0.10–0.11]	0.62	0.21	13,335.72	13,613.16	2,671.30^b	3
Three-factor model	1,459.10	185	0.001	0.05 [0.05–0.06]	0.90	0.05	10,670.34	10,960.79

Notes:

Items for these two factors were combined into a single latent factor;

Scaled Chi-square difference test against the hypothesised three-factor model. All comparisons were statistically significant at alpha = 0.001

Source: Authors’ own work

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