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. 2013 Dec 20;9:83. doi: 10.1186/1746-4269-9-83

Table 5.

Effects of socio-economic variables on uses within use-categories

Fixed effects con env fie fod food fuel med oth tool
Intercept
−0.994
−0.714
−2.356
−0.355
−2.881
−0.765
−1.853
−2.651
−2.537
age [a]
ns
ns
ns
ns
ns
ns
0.013**
0.014*
0.011**
sex(men)
ns
ns
ns
ns
ns
ns
ns
ns
ns
migration(yes)
−0.391**
ns
ns
−0.377**
ns
ns
ns
−0.975**
ns
age:sex(men)
ns
ns
ns
ns
ns
ns
ns
ns
ns
sex(men):migration(yes)
ns
ns
ns
ns
ns
ns
ns
ns
ns
age:migration(yes)
ns
ns
ns
ns
ns
ns
ns
ns
ns
age:sex(men):migration(yes) ns ns ns ns ns ns ns ns ns

Parameter estimates for the effects of the socio-economic variables of age (continuous), sex, migration, and all possible two-way-interactions on the number of use-types mentioned for 14 selected species (see Table 1) within nine use-categories: construction (con), environmental use (env), field use (fie), fodder (fod), food, fuel, medicine (med), other use (oth), tool. Results based on the minimal adequate generalised linear mixed models (GLMM) with count data as response variables, and species and participants as crossed random effects. Significance of main effects determined by likelihood ratio tests. Terms: ns, not significant; levels of significance: *, p<0.05; **, p<0.01.