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. 2018 Mar 24;27(6):1647–1659. doi: 10.1007/s11136-018-1841-4

Table 2.

Assessment of unidimensionality for all subscales in the 32-item HIV Stigma Scale

Subscale Fit measures from CFAa
All data combined Indian cohort Swedish cohort US cohort
Personalized stigma
 n 960 244 157 559
 Chi-square(df = 44) 148.37* 75.0544* 67.12* 150.40*
 CFI 0.998 0.995 0.999 0.998
 TLI 0.998 0.993 0.999 0.997
 RMSEA 0.050 0.054 0.058 0.066
Disclosure concerns
 n 992 250 168 574
 Chi-square(df = 20) 134.66* 24.74, ns 51.87* 90.50*
 CFI 0.991 0.996 0.992 0.992
 TLI 0.997 0.994 0.989 0.989
 RMSEA 0.076 0.031 0.098 0.078
Concerns about public attitudes
 n 965 246 159 560
 Chi-square(df = 9) 39.48* 4.38, ns 38.38* 34.63*
 CFI 0.997 1.000 0.987 0.997
 TLI 0.995 1.008 0.979 0.995
 RMSEA 0.059 < 0.001 0.114 0.071
Negative self-image
 n 1010 248 180 582
 Chi-square(df = 14) 45.65* 35.79* 9.72, ns 38.28*
 CFI 0.997 0.981 1.000 0.996
 TLI 0.995 0.972 1.003 0.994
 RMSEA 0.047 0.079 < 0.001 0.055
Number of factors proposed to retain by EKCb
 Personalized stigma 1 1 1 1
 Disclosure concerns 1 2 2 1
 Concerns about public attitudes 1 1 1 1
 Negative self-image 1 2 1 1

Figures in bold indicate that the subscale was not unidimensional according to EKC

*p < 0.001

aConfirmatory factor analysis of unidimensional models, fitted using the weighted least squares mean and variance (WLSMV)

bThe Empirical Kaiser Criterion