Table 2: Gender Result of Likelihood ratio test of multinomial regression.
|
Likelihood Ratio Tests |
||||
|
|
Model Fitting Criteria |
Likelihood Ratio Tests |
||
|
Effect |
-2 Log Likelihood of Reduced Model |
Chi-Square |
df |
Sig. |
|
Intercept |
54.933a |
.000 |
0 |
0.0 |
|
Recoded Gender |
1155.239 |
1100.307 |
10 |
0.000 |
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.
aThis reduced model is equivalent to the final model because omitting the effect does not increase the degrees of freedom.