Hotspots of female genital mutilation/cutting and associated factors among girls in Ethiopia: a spatial and multilevel analysis

Table 6 Results from random intercept model (measures of variation) for daughters’ circumcision at cluster level by multilevel logistic regression analysis

Measures of variation	Model 1^a	Model 2^b	Model 3^c	Model 4^d
Community level
Variance (SE)	5.863 (0.129)*	3.189 (0.103)*	1.577 (0.084)*	0.988 (0.076)*
Explained variation (PCV)	Reference	45.6	73.1	83.1
ICC (%)	64.1	49.2	32.4	23.1
MOR^e	9.98	5.45	3.30	2.57
Model fit statistics
DIC (−2log likelihood)	5197	4626	4736	4272

*p-value < 0.001
SE: Standard Error; PCV: Proportional Change in Variance; ICC: Intraclass Correlation Coefficient; MOR: Median Odds Ratio; DIC: Deviance Information Criterion.^aModel 1 is the null model, a baseline model without any predictor variable^bModel 2 is the model fitted with individual level factors^cModel 3 is the model fitted with community level factors^dModel 4 is the final model fitted with both individual and community level factors
^eIncreased risk (in median) that one would have if moving to a neighborhood/cluster with a higher risk

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