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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