I can't help with a generalized linear model, but I have some basic comments. If you have basic understanding of statistics you should stick with the simplest method usable. For one thing there are nuances, particularly in assumptions of advanced methods that you may miss with serious consequences. And less advanced models are generally better covered in the literature. And they may well work well enough for your analysis. I have worked with regression for years now and still try to use the simplest method I can for this reason.

What is the dependent variable that you feel you need to use general linear models for? That is, is it an ordinal or nominal variable and how many distinct levels does it have? Why is linear or logistic regression inappropriate for it?