Binary Outcomes in GAMLJ3 - No way to pick reference group

[nickschweitzer]

I've been doing some work with generalized linear models (in the GAMLJ3 module). I noticed that the module seems to pick the reference group for a binary outcome using some method that is impossible to change, and somehow persists even when recoding the variables. For example, in a DV of 1s and 0s, I would want the model to predict the likelihood of 1s (p1/p0), but it does the opposite (p0/p1). As there is no way that I can see to change the reference group in the options, I simply reverse coded the variable. I don't know how, but now the model has adjusted itself so that it is suddenly predicting 1s (which is again the opposite of what I want). No matter what I code the DV as -- numbers, text, etc -- the model chooses one specific group as its reference. So I guess I'm wondering a) what's going on, and b) can it be changed so that the user can choose a reference group (similar to what is implemented in the logistic regression menu)?

[Pius]

In the https://gamlj.github.io/book/

In section 3.2.3 Model Recap
"GAMLj models the probability of being in the group with the “largest” label value, after ordering the value labels. In our case, it models the probability of being in group ybin=1 over the probability of being in group ybin=0. This is indicated in the direction row of the table."

From the https://gamlj.github.io/book/gzlm.html#logistic