Table 4. Multilevel logistic regression models with socioeconomical variables for understanding of the overlapping use of modern medicine with medicinal plants.
| Fixed effect | Model 6 | Model 7 | Model 8 | Model 9 | Model 10 | Model 11 |
|---|---|---|---|---|---|---|
| Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | |
| Intercept | -4.64 (2.03)* | -3.89 (0.56)* | -0.29 (1.95) | -2.10 (0.44)* | -2.54 (0.39)* | -6.39 (0.72)* |
| Education | 0.55 (0.20)* | 0.47 (0.13)* | - | - | - | 0.49 (0.13)* |
| Age | 0.01 (0.03) | - | -0.04 (0.02)* | - | - | - |
| Sex (male) | -0.67 (0.61) | - | - | 0.65 (0.15) | - | - |
| Prestige | 0.05 (0.09) | - | - | - | 0.02 (0.10) | - |
| Frequency | - | - | - | - | - | 0.22 (0.04)* |
| Severity | - | - | - | - | - | 0.14 (0.03)* |
| Disease (chronic) | - | - | - | - | - | 0.72 (0.23)* |
| Random effect | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) |
| Level 2 | ||||||
| Participants | 6.07 (2.46) | 6.16 (2.48) | 6.76 (2.60) | 7.18 (2.68) | 7.48 (2.73) | 6.70 (2.59) |
| Fit | ||||||
| AIC | 1176.1 | 1172.3 | 1181 | 1184.7 | 1186.6 | 1132.6 |
Model 6 –evaluates the effect of all socioeconomic variables; Model 7 –evaluates the effect of education; Model 8 –evaluates the effect of age; Model 9 –evaluates the effect of sex; Model 10 –evaluates the effect of local prestige as an expert on medicinal plants; Model 11 –evaluates the combined effect of education and disease characteristics.
*p < 0.05