Research Article
Modelling Determinants of Tree Planting and Retention on Farm for Improvement of Forest Cover in Central Kenya
Table 6
Likelihood ratio tests and model classification of tree retention determinants using binary and multinomial logistic regression.
| Determinants | −2log likelihood | d.f | value | % Model classification |
*Logt |
*Mult | Logistic | Multinomial | Logistic | Multinomial | Logistic | Multinomial |
| Site | 281 | 45.1 | 3 | 6 | 0.05 | 0.04 | 59 | 50 | Gender HH* | 273 | 24.8 | 1 | 2 | 0.12 | 0.03 | 55 | 51 | Occupation | 275 | 20.6 | 1 | 2 | 0.06 | 0.16 | 55 | 50 | Age | 262 | 238 | 1 | 126 | 0.93 | 0.06 | 52 | 67 | Education | 267 | 40.0 | 3 | 6 | 0.04 | 0.14 | 58 | 52 | Marital status | 279 | 18.7 | 1 | 2 | 0.38 | 0.32 | 53 | 51 | NMH* | 275 | 85 | 1 | 2 | 0.47 | 0.47 | 53 | 52 | Income | 220 | 168 | 1 | 80 | 0.00 | 0.00 | 60 | 53 | Land tenure | 276 | 43.9 | 2 | 10 | 0.76 | 0.15 | 52 | 51 | Land size | 231 | 130 | 1 | 6 | 0.00 | 0.00 | 68 | 68 | Tree use | 240 | 27.3 | 2 | 4 | 0.35 | 0.53 | 55 | 48 | Motivation | 225 | 27.5 | 1 | 2 | 0.20 | 0.01 | 56 | 52 | Technical skills | 262 | 21.1 | 1 | 2 | 0.05 | 0.13 | 56 | 49 | Skill effect | 71.8 | 16.6 | 1 | 2 | 0.05 | 0.14 | 66 | 66 | Labour and cost | 232 | 25.8 | 1 | 2 | 0.05 | 0.01 | 57 | 50 | Extension services | 263 | 18.8 | 1 | 2 | 0.07 | 0.06 | 53 | 50 | Harvest permission | 229 | 23.9 | 1 | 2 | 0.04 | 0.05 | 58 | 50 | Harvesting regulation | 208 | 25 | 1 | 2 | 0.22 | 0.02 | 55 | 50 | Forest associations | 234 | 22.1 | 1 | 2 | 0.83 | 0.11 | 51 | 50 | Membership | 253 | 18.1 | 1 | 2 | 0.70 | 0.79 | 51 | 49 | Ready market | 195 | 19.8 | 1 | 2 | 0.24 | 0.22 | 55 | 51 | Marketing problems | 203 | 21.7 | 1 | 2 | 0.16 | 0.07 | 55 | 50 |
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Logt: Logistic regression values; *Mult: multinomial logistic regression values; HH*: household head; NMH*: number of members in the household.
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