Scales to Assess Knowledge, Motivation, and Self-Efficacy for HIV PrEP in Colombian MSM: PrEP-COL Study
Table 4
The confirmatory factor analysis of the scales (CFA).
Model-PrEP scale
Items
CFA fit, confirmatory sample (n = 240)
Initial
Final
KMO
BTS ( value)
CFI
TLI
SRMR
RMSEA
Prob > chi2-excluding item
Cronbach’s alpha coefficients
PrEP attitudes
5
5
0.749
<0.001
1.00
1.01
0.03
0.00
LR test of model vs. saturated: chi2 (5) = 4.71, prob > chi2 = 0.4517
0.70
PrEP stigma
5
5
0.7814
<0.001
0.90
0.79
0.06
0.18
LR test of model vs. saturated: chi2 (5) = 26.18, prob > chi2 = 0.0001
0.81
PrEP stigma (excluding two items)
5
3
0.68
<0.001
1.00
1.00
0.00
0.00
LR test of model vs. saturated: chi2 (0) = 0.00, prob > chi2 =
0.81
PrEP descriptive norms
6
6
0.76
<0.001
0.94
0.90
0.05
0.15
LR test of model vs. saturated: chi2 (8) = 31.79, prob > chi2 = 0.0001
All: 0.8386 subitems: 0.8094; 0.8597
PrEP descriptive norms (excluding one item)
6
5
0.79
<0.001
1.00
1.02
0.01
0.00
R test of model vs. saturated: chi2 (4) = 1.56, prob > chi2 = 0.8158
All: 0.8259 subitems: 0.8094; 0.8597
PrEP subjective norms
6
6
0.78
<0.001
0.900
0.834
0.059
0.180
LR test of model vs. saturated: chi2 (9) = 47.19, prob > chi2 = 0.0000
0.864
PrEP subjective norms (excluding two items)
6
4
0.69
<0.001
0.997
0.990
0.020
0.049
LR test of model vs. saturated: chi2 (2) = 2.63, prob > chi2 = 0.2681
0.810
PrEP self-efficacy
8
8
0.65
<0.001
0.793
0.694
0.102
0.153
LR test of model vs. saturated: chi2 (19) = 78.46, prob > chi2 = 0.0000
All: 0.7423; subitems: 0.7290; 0.7601.
PrEP self-efficacy (excluding two items)
8
6
0.57
<0.001
0.948
0.903
0.069
0.078
LR test of model vs. saturated: chi2 (8) = 14.53, prob > chi2 = 0.0689
All: 0.6283 subitems: 0.5379; 0.7601
PrEP self-efficacy (excluding three items)
8
5
0.61
<0.001
1.000
1.091
0.033
0.000
LR test of model vs. saturated: chi2 (4) = 2.03, prob > chi2 = 0.7298
All: 0.5628; subitems: 0.5379;
Two factors were obtained. A good fit is indicated by CFI and TLI values greater than 0.95 and RMSEA values less than 0.05 and acceptable fit by CFI and TLI values over 0.90 and RMSEA values less than 0.06. #Chi2 cannot be estimated because the model fits three items.
