Table 2.
Multinomial logistic regressions between explanatory variables and perception of risk of contracting HIV/AIDS
No | Model components | LR Chi-Square | df | P values | Pseudo R-Square | N | Explanatory power of model |
---|---|---|---|---|---|---|---|
1 | Perceived susceptibility to HIV/AIDS. | 13.782 | 18 | 0.743 | 0.070 | 190 | 7.0% |
2 | Perceived severity of HIV/AIDS. | 39.256 | 36 | 0.326 | 0.191 | 185 | 19.1% |
3 | Perceived Benefit of condom use. | 7.668 | 9 | 0.568 | 0.039 | 193 | 3.9% |
4 | Perceived Barriers to condom use. | 46.300 | 36 | 0.117 | 0.327 | 117 | 32.7% |
5 | Perceived condom use self-efficacy. | 16.639 | 18 | 0.548 | 0.085 | 187 | 8.5% |
6 | Socio-Demographic variables. | 89.919 | 75 | 0.115 | 0.447 | 152 | 44.7% |
7 | Sexual risk behaviors | 85.553 | 45 | 0.000 | 0.365 | 184 | 36.5% |
8 | Integrated value mapping (IVM): combination of components 1, 2, 3 and 6. | 203.305 | 138 | 0.000 | 0.816 | 120 | 81.6% |
9 | Integrated value mapping (IVM): combination of components 1, 2, 3, 4 and 5. | 161.060 | 117 | 0.004 | 0.800 | 100 | 80.0% |