Table 6.
Results from random intercept model (measure of variation) for childhood stunting at cluster level by multilevel logistic regression analysis
| Measure of variation | Model 1a | P-value | Model 2b | p-value | Model 3c | p-value | Model 4d | p-value |
|---|---|---|---|---|---|---|---|---|
| Community level | ||||||||
| Variance (SE) | 0.363(0.043) | <0.001 | 0.323(0.050) | <0.001 | 0.159(0.046) | <0.001 | 0.230(0.041) | <0.01 |
| Explained variation(PCV) | Reference | 11.0 | 56.2 | 36.6 | ||||
| ICC (%) | 9.9 | 8.9 | 4.6 | 6.5 | ||||
| MOR | 2.10 | 1.93 | 1.59 | 1.75 | ||||
| Model fit statistics | ||||||||
| DIC (−2log likelihood) | 13256 | 8499 | 12733 | 8357 |
SE standard error, ICC intracluster correlation, MOR median odds ratio, DIC deviation information criterion
aModel 1 is the empty model, a baseline model without any determinant variable
bModel 2 is adjusted for individual-level factors
cModel 3 is adjusted for community-level factors
dModel 4 is final model adjusted for both individual and community-level factors