I am using proc glimmix to fit a multilevel logistical model. Den df in the parameter estimates of gender*TE*item is 0 so there is no p value. What might be the reason?
I am guessing you have unbalanced data, with a lot of cells with no observations (in the three-way table). I usually see this problem with the default ddf method (ddfm=containment). You could use ddfm=kr (for Kenward-Roger method). This will work for the default estimation method. However, the default estimation method is probably not the best choice for binary data because of bias of parameter estimates. I would suggest you use the option method=laplace on the procedure statement. But if you do that, you cannot use ddfm=kr. If you felt you had enough observations, you could use chi-squared wald statistics instead of F statistics for hypothesis testing and confidence intervals. Just put CHISQ as an option in the model statement.
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.