Table III.

The effect of water source and sanitation on high urine creatinine levels.

	Model Fitting Criteria	Likelihood Ratio Tests
Effect	-2 Log Likelihood of Reduced Model	Chi-Square	df	Sig.	Pseudo R-square Nagelkerke
Intercept	54.643a	.000	0	.	.543
Water.Source	60.696	6.053	4	.195
House.condition	69.582	14.939	4	.005
Waste.management	61.751	7.108	4	.130
Waste water.management	65.710	11.066	4	.026

The chi-square statistic is the difference in -2 log-likelihoods between the final model and a reduced model. The reduced model is formed by omitting an effect from the final model. The null hypothesis is that all parameters of that effect are 0. a. This reduced model is equivalent to the final model because omitting the effect does not increase the degrees of freedom.