Logistic regression: Analyzing binary outcomes
August 20, 2024 2024-11-07 12:22Logistic regression: Analyzing binary outcomes
An overview of our binary logistic regression workshop
Many outcomes in education are binary in nature: accept or decline an offer of admission, pass or fail a course, persist to another year or stop out. Binary logistic regression, rather than multiple regression, is the standard approach to analyzing discrete outcomes. This workshop will train participants in applying binary logistic regression to their research, focusing on 1) the parallels with multiple regression, and 2) how to interpret model results for a wide audience.
Expected outcomes of our binary logistic regression workshop
By the end of the workshop, participants should understand binary logistic regression well enough to begin using it in their research. They will understand when to use binary logistic regression, how to interpret binary logistic regression coefficients, and how to calculate and discuss model fit.
Who should attend?
The target audience is researchers who are familiar with multiple regression but are not familiar with binary logistic regression, and wish to begin using it in their research (or those researchers looking for a quick refresher). This is an applied course, so no advanced math skills are required; however, you should understand how to interpret a multiple regression coefficient. If you need a refresher on multiple regression, check out our regression workshop. Software demonstrations will use Stata, but output from SAS and SPSS will be included and reviewed so that participants can understand and interpret binary logistic regression models estimated using these software. If you are interested in propensity score matching, this is an excellent workshop to attend prior to our matching workshop.
SPSS users: You must have the SPSS Regression Module to be able to run a logistic regression model.
There was an appropriate amount of information. The instructor communicated clearly, invited interaction, and kept on schedule. The overarching example was very helpful.
This is an excellent workshop for evaluators who are interested in learning techniques that can be applied to their work. The pace was just right. I was able to acquire skills that could be applied immediately to my work.
