In loglinear analysis, the saturated model:
A)All of these are true.
B)Is a perfect fit of the data.
C)Gives a value of zero for the likelihood ratio.
D)Involves every possible source of variance.

Question

Quizplus · Accepted Answer

The saturated model in loglinear analysis is a model that includes all possible interactions and main effects for the variables involved. It is considered a perfect fit of the data because it accounts for every possible source of variance among the variables. Consequently, it gives a value of zero for the likelihood ratio, indicating no difference between the observed and expected frequencies under the model.

In Loglinear Analysis, the Saturated Model