Table 2 Measurement model fit statistics...

Table 2

Measurement model fit statistics

Model	df	Chi square	BIC	RMSEA	SRMR	CFI
4 Factor	183	2382.36, p < 0.01	58769.20	0.105	0.082	0.76
5 Factor	179	1792.85, p < 0.01	58207.68	0.091	0.075	0.84
Second order	183	2167.18, p < 0.01	58554.03	0.100	0.114	0.81
Bifactor	169	1010.68, p < 0.01	57231.86	0.067	0.054	0.92

Model	df	Chi square	BIC	RMSEA	SRMR	CFI
4 Factor	183	2382.36, p < 0.01	58769.20	0.105	0.082	0.76
5 Factor	179	1792.85, p < 0.01	58207.68	0.091	0.075	0.84
Second order	183	2167.18, p < 0.01	58554.03	0.100	0.114	0.81
Bifactor	169	1010.68, p < 0.01	57231.86	0.067	0.054	0.92

Note(s): BIC is the sample-size adjusted Bayesian Information Criterion. RMSEA = root mean square error of approximation, SRMR = standardized root mean square residual, CFI = comparative fit index. The 4-factor model is the hypothesized model. The 5-factor model divides the Dependence items into two factors

Source(s): Authors’ own work

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