Table 2.

Fit statistics for exploratory factor analyses (ESEM) and CFA of pre-test and post-test heiQ data separately.

Model	${\chi }_{\mathrm{WLSMV}}^2$	d.f.	p	CFI	TLI	RMSEA (90% CI)
ESEM Pre-test 6 Factors	5616.48	555	<0.0000	0.961	0.945	0.053 (0.52–0.54)
ESEM Pre-test 7 Factors	3776.87	521	<0.0000	0.975	0.962	0.044 (0.43–0.45)
ESEM Pre-test 8 Factors	2602.28	488	<0.0000	0.984	0.974	0.037 (0.035–0.038)
ESEM Post-test 6 Factors	4759.79	555	<0.0000	0.969	0.956	0.048 (0.47–0.50)
ESEM Post-test 7 Factors	3086.12	521	<0.0000	0.981	0.971	0.039 (0.38–0.40)
ESEM Post-test 8 Factors	2357.36	488	<0.0000	0.986	0.978	0.034 (0.033–0.036)
CFA Pre-test 8 Factors	8391.71	712	<0.0000	0.940	0.935	0.058 (0.057–0.059)
CFA Post-test 8 Factors	6935.57	712	<0.0000	0.953	0.949	0.052 (0.051–0.053)

ESEM: exploratory structural equation modelling; CFA: confirmatory factor analysis; heiQ: Health Education Impact Questionnaire; d.f.: degrees of freedom; CFI: comparative fit index; TLI: Tucker-Lewis index; RMSEA: root mean square error of approximation; CI: confidence interval.