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Multiple regression analyses to determine the factors that explain the three dependent variables |
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| Logistic analysis |
Ordinary least squares |
Logistic analyses |
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| Variables |
Ownership of untreated Nets |
Stated WTP for ITNS |
Purchase of ITNs @ 350 Naira |
| Coefficient (SE) |
Coefficient (SE) |
Coefficient (SE) |
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| ES weight |
.29 (.10)*** |
16.12 (4.64)*** |
.20 (.11)* |
| Status in the household |
-.17 (.35) |
29.38 (13.57)** |
.36 (.40) |
| No. of household residents |
.05 (.05) |
5.72 (2.40)** |
-.01 (.05) |
| Sex |
.02 (.33) |
35.69 (13.36)** |
-.41 (.33) |
| Age |
.01 (.01) |
.14 (.40) |
.02 (.01)** |
| Education |
.10(.02)*** |
5.70(1.25)*** |
.47 (.33) |
| Marital status |
.64 (.43) |
-51.90 (15.68)*** |
-.02 (.38) |
| Incidence of malaria |
.17 (.27) |
-20.19 (12.64) |
|
| Actual incidence of malaria |
.07 (.11) |
26.80 (5.68)*** |
.31 (.15)** |
| Occupational group 2: Farmers |
-.39 (.62) |
-15.06 (33.02) |
-.52 (.65) |
| Occupational group 3: Skilled labourers/trading/pensioners |
.18 (.61) |
-2.67 (33.04) |
-.19(.68) |
| Occupational group 4: Formally employed |
.11 (.66) |
-8.35 (36.10) |
-.18 (.79) |
| Occupational group 5: Professionals/mid & big business |
-1.00(.87) |
47.71 (39.66) |
-.13 (.84) |
| Stated WTP for ITNs |
NA |
NA |
.01 (.001)*** |
| Sales distance |
NA |
NA |
-.04 (.01)*** |
| Constant |
-3.67 (.82)*** |
132.35(40.08)*** |
-3.40 (.95)*** |
| No of observations |
788 |
788 |
449 |
| Chi2 (F statistic) |
80.80*** |
17.10*** |
94.89*** |
| Adjusted R-square |
NA |
0.21 |
NA |
| Correct predictions |
85.15% |
NA |
80.18% |
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Significance of parameters *<0.10, **<0.05, ***<0.01 NA = Not applicable | |||
Onwujekwe et al. Malaria Journal 2004 3:6 doi:10.1186/1475-2875-3-6 |
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