Why Mixed Models are Harder in Repeated Measures Designs: G-Side and R-Side Modeling

February 25th, 2015 by

I have recently worked with two clients who were running generalized linear mixed models in SPSS.

Both had repeated measures experiments with a binary outcome.

The details of the designs were quite different, of course. But both had pretty complicated combinations of within-subjects factors.

Fortunately, both clients are intelligent, have a good background in statistical modeling, and are willing to do the work to learn how to do this. So in both cases, we made a lot of progress in just a couple meetings.

I found it interesting, through, that both were getting stuck on the same subtle point. It’s the same point I was missing for a long time in my own learning of mixed models.

Once I finally got it, a huge light bulb turned on. (more…)