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Table 5 Measurement invariance across clinical and non-clinical samples based on CFA

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

 

X2

df

CFI

BIC

SRMR

RMSEA (90%CI)

ΔCFI

ΔRMSEA

configural

418.548

226

0.922

37,843.902

0.054

0.051 (0.043 0.059)

  

metric

444.234

239

0.917

37,785.676

0.061

0.051 (0.044 0.059)

−0.005

0.000

scalar

470.730

252

0.911

37,728.430

0.062

0.052 (0.044 0.059)

−0.006

+ 0.001

strict

508.677

269

0.903

37,661.713

0.065

0.052 (0.045 0.059)

−0.007

0.000

  1. Note: Measurement invariance across clinical and non-clinical samples analysis based on our newly explored structure (17 items and four factor structure). Model a, configural invariance; Model b, metric invariance; Model c, scalar invariance; Model d, 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