|
Model
|
H0
|
−2LL*
|
P£
|
|---|
|
Locality + Education + Breeding site knowledge + Preventive measures knowledge + Int**
| |
70.51
|
----
|
|
Locality + Education + Breeding site knowledge + Preventive measures knowledge
|
βInt = 0
|
71.78
|
0.866
|
|
Education + Breeding site knowledge + Preventive measures knowledge
|
βLocality = 0
|
74.74
|
0.261
|
|
Education + Breeding site knowledge
|
βPreventive measures knowledge = 0
|
76.76
|
0.043
|
- *-2 log likelihood, ** All possible 2 way interactions, £ p values based on chi square of −2 log likelihood difference between the reduced model and initial model. The predictors: locality, education level of the farmers, farmers’ knowledge about house flies breeding sites and preventive measures, had P values < 0.25 and were the potential predictors in univariate analysis (Table 6). These four potential predictors were then entered in the multivariate model by following the methodology of Hosmer and Lemeshow [17]. In succeeding steps, the predictors with a P > 0.05 in the previous step were removed from the model until complete loss of fit (P < 0.05) of the model was achieved.
