Let's say that I have a full and a restricted model that looks like this:
Full<- polr(Y ~ X1+X2+X3+X4, data=data, Hess = TRUE, method="logistic") Restricted<- polr(Y ~ X1+X2+X3, data=data, Hess = TRUE, method="logistic")
I want to conduct F-tests to determine whether the information from the
X4variable statistically improves our understanding of Y.
What command is convenient for carrying out this test for logistic regression? Is it
summary(aov(Y ~ X1+X2+X3+X4)) #Full model summary(aov(Y ~ X1+X2+X3)) #Restricted model
In linear regression case this would be the way to do it, I am not sure for ordered logistic regression...