Binomial Logistic Regression

A binomial logistic regression (often referred to simply as logistic regression), predicts the probability that an observation falls into one of two categories of a dichotomous dependent variable based on one or more independent variables that can be either continuous or categorical. In this session, Dr. Taylor discusses (1) the four scales of measurement, (2) describes the conditions for using binomial logistic regression (with all continuous predictor variables), (3) identifies data assumptions surrounding binary logistic regression, (4) shows how to conduct binary logistic regression using SPSS, (5) explains SPSS output/results, and (6) shows how to write an APA-compliant results section based on the SPSS output, including appropriate tables and figures.