Table 2. Multilevel logistic regression models generated for understanding the overlapping use of modern medicine with medicinal plants.
| Fixed effect | Null model | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 |
|---|---|---|---|---|---|---|
| Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | |
| Intercept | -2.51 (0.37)* | -2.56 (0.37)* | -2.53 (0.37)* | -2.65 (0.38)* | -2.51 (0.37)* | -4.91 (0.57)* |
| Frequency | - | 0.29 (0.09)* | - | - | - | 0.25 (0.05)* |
| Severity | - | - | 0.24 (0.08)* | - | - | 0.13 (0.03)* |
| Disease (chronic) | - | - | - | 0.54 (0.20)* | - | 0.64 (0.25)* |
| MPK | - | - | - | - | 0.41 (0.21) | -0.01 (0.01) |
| Random effect | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) |
| Level 2 | ||||||
| Participants | 7.44 (2.73) | 7.39 (2.72) | 7.64 (2.77) | 7.71 (2.78) | 7.42 (2.72) | 8.05 (2.84) |
| Fit | ||||||
| AIC | 1184.7 | 1175.4 | 1178.5 | 1179.3 | 1186.6 | 1146 |
Model 1 –evaluates the effect of disease frequency; Model 2 –evaluates the effect of disease severity; Model 3 –evaluates the effect of the form of disease manifestation (chronic or acute); Model 4 –evaluates the effect of the number of medicinal plants known (MPK) to deal with the disease; Model 5 –evaluates the combined effect of the previous factors.
*p < 0.05