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Table 3 Unstandardized and standardized loading for measurement models of HIV knowledge scale and NPEP knowledge scale among Chinese MSM, 2018 (N = 419)

From: Examining potential effects of non-occupational post-exposure prophylaxis (nPEP) on sexual behaviors of Chinese men who have sex with men: a cross-sectional study

Parameter estimate Unstandardized loading (SE) Standardized loading (SE)
HIV Knowledge Scale confirmatory factor analysis model
Fit indices: CFI = 0.970, TLI = 0.958, RMSEA = 0.043, 90% CI: 0.017–0.065
 HIV → B1 1.000 0.483 (0.080) ***
 HIV → B2 1.136 (0.219) *** 0.548 (0.075) ***
 HIV → B3 1.208 (0.261) *** 0.583 (0.074) ***
 HIV → B4 1.321 (0.248) *** 0.638 (0.058) ***
 HIV → B5 1.711 (0.329) *** 0.826 (0.090) ***
 HIV → B6 1.667 (0.290) *** 0.805 (0.051) ***
 HIV → B7 1.874 (0.316) *** 0.905 (0.051) ***
 HIV → B8 1.366 (0.271) *** 0.659 (0.074) ***
NPEP Knowledge Scale confirmatory factor analysis model
Fit indices: CFI = 0.998, TLI = 0.997, RMSEA = 0.056, 90% CI 0.038–0.074
 NPEP → A 1.000 0.875 (0.019) ***
 NPEP → B 1.102 (0.025) *** 0.965 (0.013) ***
 NPEP → D 1.141 (0.029) *** 0.999 (0.014) ***
 NPEP → E 0.835 (0.036) *** 0.731 (0.032) ***
 NPEP → F 0.988 (0.028) *** 0.865 (0.022) ***
 NPEP → G 0.874 (0.035) *** 0.765 (0.030) ***
 NPEP → H 1.041 (0.023) *** 0.911 (0.016) ***
 NPEP → I 1.107 (0.026) *** 0.969 (0.013) ***
 NPEP → K 0.905 (0.032) *** 0.793 (0.026) ***
  1. Note. As suggested by the modification indices, adjustment of the confirmatory factor analysis model is not needed. Standard errors are in the parenthesis. * p < 0.05 ** p < 0.01 *** p < 0.001