Table 2 Multilevel binary logistic regression permutation models with special reference to the wing length and the sex variables
Logistic model | Predictor | Coefficient | P value | AIC |
|---|---|---|---|---|
1.0 whole data set | ||||
 Full model (n  =  2195) | Trap method | − 0.1 | 0.562 | 2100.9 |
Hot season | 0.2 | 0.317 | ||
Rainy season | − 0.1 | 0.673 | ||
Male sex | − 0.2 | 0.090 | ||
Wing length | 0.1 | 0.370 | ||
 Model without wing length predictor | Trap method | 0.0 | 0.799 | 2099.7 |
Hot season | 0.2 | 0.348 | ||
Rainy season | 0.0 | 0.701 | ||
Male sex | − 0.3 | 0.010* | ||
 Model without sex predictor | Trap method | − 0.1 | 0.526 | 2101.8 |
Hot season | 0.2 | 0.311 | ||
Rainy season | − 0.1 | 0.631 | ||
Wing length | 0.1 | 0.032* | ||
2.0 one-method data set: fly round | ||||
 Full model (n  =  1971) | Hot season | 0.2 | 0.273 | 1863.7 |
Rainy season | − 0.1 | 0.478 | ||
Male sex | − 0.2 | 0.146 | ||
Wing length | 0.1 | 0.545 | ||
 Model without wing length predictor | Hot season | 0.2 | 0.296 | 1862.1 |
Rainy season | − 0.1 | 0.467 | ||
Male sex | − 0.3 | 0.024* | ||
 Model without sex variable | Hot season | 0.2 | 0.256 | 1863.8 |
Rainy season | − 0.1 | 0.482 | ||
Wing length | 0.1 | 0.069 | ||