Logistic regression analysis of socio-demographic factors influencing respondents' participation in the implementation activities of FLEGT-VPA
| Predictor factor | B | SE | Wald | df | p-value | Exp(B) |
|---|---|---|---|---|---|---|
| Sex of respondents | −1.546 | 1.157 | 1.784 | 1 | 0.182 | 0.213 |
| Age of respondents | 1.043 | 0.565 | 3.410 | 1 | 0.065 | 2.839 |
| Duration of stay | −0.279 | 0.535 | 0.272 | 1 | 0.602 | 0.757 |
| Educational level (no education; reference category) | 4.208 | 2 | 0.122 | |||
| Educational level (basic or secondary education) | 1.996 | 0.994 | 4.038 | 1 | 0.44 | 7.363 |
| Educational level (tertiary education) | 1.162 | 1.216 | 0.913 | 1 | 0.339 | 3.196 |
| Leadership status (traditional leader; reference category) | 16.595 | 3 | 0.001 | |||
| Leadership status (religious leader) | −1.762 | 8.51 | 4.285 | 1 | 0.38 | 0.172 |
| Leadership status (political leader) | 0.209 | 0.997 | 0.44 | 1 | 0.834 | 1.232 |
| Leadership status (not a leader) | −2.867 | 0.797 | 12.932 | 1 | 0.000 | 0.57 |
| Constant | −1.773 | 2.149 | 0.681 | 1 | 0.409 | 0.170 |
| Predictor factor | SE | Wald | df | Exp( | ||
|---|---|---|---|---|---|---|
| Sex of respondents | −1.546 | 1.157 | 1.784 | 1 | 0.182 | 0.213 |
| Age of respondents | 1.043 | 0.565 | 3.410 | 1 | 0.065 | 2.839 |
| Duration of stay | −0.279 | 0.535 | 0.272 | 1 | 0.602 | 0.757 |
| Educational level (no education; reference category) | 4.208 | 2 | 0.122 | |||
| Educational level (basic or secondary education) | 1.996 | 0.994 | 4.038 | 1 | 0.44 | 7.363 |
| Educational level (tertiary education) | 1.162 | 1.216 | 0.913 | 1 | 0.339 | 3.196 |
| Leadership status (traditional leader; reference category) | 16.595 | 3 | 0.001 | |||
| Leadership status (religious leader) | −1.762 | 8.51 | 4.285 | 1 | 0.38 | 0.172 |
| Leadership status (political leader) | 0.209 | 0.997 | 0.44 | 1 | 0.834 | 1.232 |
| Leadership status (not a leader) | −2.867 | 0.797 | 12.932 | 1 | 0.000 | 0.57 |
| Constant | −1.773 | 2.149 | 0.681 | 1 | 0.409 | 0.170 |
Note(s): Cox and Snell R2 = 0.340; Nagelkerke R2 = 0.505; Predictive accuracy = 83.8%
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