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Table 2

Summary of hierarchical multiple regression (random effects)

VarianceStandard deviation
Locality (Intercept)a 0.10938 0.3307 
Reliability of water source 3.14175 1.7725 
Non-educated persons in the household 0.01216 0.1103 
Residual 3.12064 1.7665 
VarianceStandard deviation
Locality (Intercept)a 0.10938 0.3307 
Reliability of water source 3.14175 1.7725 
Non-educated persons in the household 0.01216 0.1103 
Residual 3.12064 1.7665 

N = 171; Groups (Locality) = 3 REML criterion at convergence: 804.

aThe constant in the regression model is called the intercept. It represents the ‘baseline’ effect on the dependent variable when all the other variables are taken to have value 0. In this case, the random intercept represents the variation in the baseline effect across systems irrespective of the additional effects of other variables.

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