TABLE 2.

Fit indexes of the models in Study 1 (general population)

	χ2 (df)	p	CMIN/DF	RMSEA	NFI	TLI	CFI
Hypothetical model: path analysis	5.484 (4)	.24	1.37	.03	.99	.99	.99
Measurement model	203.19 (105)	.00	1.93	.04	.94	.96	.97

Due to the sensitivity of chi‐square statistic to sample size (its value should be nonsignificant at p < .05 in order to indicate that the models fits the data well), other absolute fit indexes were employed. CMIN/DF, values lower than 2 indicate a good fit; RMSEA, values should be lower than .08 to indicate a good fit; NFI, TLI and CFI, values upper to .90 indicate that model has a good fit (Bagozzi & Yi, 1988).