Factor structure and sex invariance of the temporal experience of pleasure scale (TEPS) in Chinese university students and clinical population

Table 6 Measurement invariance across sex based on CFA

Model	X²	df	CFI	BIC	SRMR	RMSEA (90%CI)	ΔCFI	ΔRMSEA
Non-clinical
configural	2338.801	224	0.904	400,015.917	0.044	0.050 (0.049 0.052)
metric	2381.928	237	0.902	399,935.042	0.045	0.049 (0.048 0.051)	−0.002	−0.001
scalar	2983.313	250	0.876	400,540.587	0.051	0.054 (0.053 0.056)	−0.026	+ 0.005
Partial scalar	2450.741	246	0.900	399,918.960	0.045	0.049 (0.047 0.051)	−0.002	0.000
clinical
configural	341.598	226	0.924	18,797.268	0.060	0.057 (0.044 0.069)
metric	365.170	239	0.917	18,746.046	0.072	0.058 (0.046 0.070)	−0.007	+ 0.001
scalar	393.436	252	0.907	18,700.746	0.074	0.060 (0.048 0.071)	−0.010	+ 0.002
strict	397.285	269	0.907	18,262.298	0.075	0.056 (0.044 0.067)	0.000	−0.004

Note: Measurement invariance across sex analysis based on our newly explored structure (17 items and four factor structure).configural, configural invariance; metric, metric invariance; scalar, scalar invariance; partial scalar, partial scalar invariance; strict, error variance invariance; X², Chi-square; df, degrees of freedom; CFI, comparative fit index; RMSEA, root-mean-square error of approximation; SRMR, standardized root mean squared residual; BIC, Bayesian information criterion

ISSN: 1471-244X