Repeated measures using a logit link function in spss 12
![repeated measures using a logit link function in spss 12 repeated measures using a logit link function in spss 12](https://sites.education.miami.edu/statsu/wp-content/uploads/sites/4/2020/10/Screen-Shot-2020-10-12-at-6.02.01-PM.png)
That’s a mouthful, but just comes down to models for categorical outcomes with more than two ordered categories. PLUM stands for Polytomous Universal Model. (But don’t forget to Paste your syntax, so you have a record of what you did)! PLUM The Logistic Regression command is invoked through the menus under Regression–>Binary Logistic, as seen above. It allows an easy comparison of how model fit and coefficients change as you add predictors. This is called “ Hierarchical Regression” (not to be confused with Hierarchical Linear Models or HLM). The second model has four independent variables: Factor, Covariate1, Covariate2, and Covariate3. So for example, using this syntax, I’m actually simultaneously running two models, one with only two independent variables, (cleverly) named Factor and Covariate1. One big advantage of this procedure is it allows you to build successive models by entering a group of predictors at a time. If you specify a variable with more than two, you’ll get an error. The dependent variable must have only two values. Invoke it using the menu choices at right or through the LOGISTIC REGRESSION syntax command. Logistic Regression can be used only for binary dependent variables. So it’s helpful to be able to use more than one. For some unknown reason, some procedures produce output others don’t. Some types of logistic regression can be run in more than one procedure. Need to run a logistic regression in SPSS? Turns out, SPSS has a number of procedures for running different types of logistic regression.