Table 6 Parameter estimates for multi-level ordinal logistic regression model
Estimates for fixed effects | ||||||
Variable | Categories | \(\widehat{{\varvec{\beta}}}\)( Exp\(\left(\widehat{{\varvec{\beta}}}\right)\)) | SE | Pr >|t| | Lower | Upper |
Intercept | No education | -0.4241(0.65) | 0.0201 | < .0001 | -0.4635 | -0.3845 |
Intercept | Primary | -1.0542(0.35) | 0.0201 | < .0001 | -1.0936 | -1.0148 |
Intercept | Secondary | -2.4058(0.09) | 0.0202 | < .0001 | -2.4453 | -2.3662 |
Place of residence | Urban | 1.9254(6.86) | 0.0345 | < .0001 | 1.8578 | 1.9930 |
Rural | 0 | |||||
Religion | Orthodox | -0.1449(0.86) | 0.1996 | 0.4678 | -0.5363 | 0.2464 |
Catholic | -0.4220(0.66) | 0.2708 | 0.1192 | -0.9529 | 0.1089 | |
Protestant | -0.2279(0.80) | 0.2015 | 0.2581 | -0.6228 | 0.1670 | |
Muslim | -0.1529(0.86) | 0.1997 | 0.4439 | -0.5444 | 0.2386 | |
Others | -0.5768(0.56) | 0.2601 | 0.0266 | -1.0866 | -0.0669 | |
Traditional | 0 | |||||
Wealth index | poorest | -0.4883(0.61) | 0.0457 | < .0001 | -0.5779 | -0.3987 |
Poorer | -0.9213(0.40) | 0.0464 | < .0001 | -1.0122 | -0.8304 | |
middle | -1.2761(0.28) | 0.0490 | < .0001 | -1.3721 | -1.1801 | |
Richer | -1.8117(0.16) | 0.0470 | < .0001 | -1.9038 | -1.7196 | |
Richest | 0 | |||||
Marriage | In year | 0.1272(1.14) | 0.0033 | < .0001 | 0.1206 | 0.1337 |
Estimates for Random effects | ||||||
Covariance parameter | Estimate | SE | ||||
Intercept(Uoj) | 0.5253 | 0.07744 | ||||
Residence(U1j) | 0.3834 | 0.0215 | ||||
Residual(eij) | 0.2166 | 0.01021 | ||||