Likelihood Ratio Tests | ||||
Effect | Model Fitting Criteria | Likelihood Ratio Tests | ||
−2 Log Likelihood | Chi-Square | Df | Sig | |
Intercept | 109.357a | 0 | 0 | 0 |
Family Size | 109.582 | 0.225 | 1 | 0.635 |
House | 182.512 | 73.155 | 2 | 0 |
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. |