Forward, backward, and hierarchical binary logistic regression in SPSS

This video provides a demonstration of several variable selection procedures in the context of binary logistic regression. I begin by discussing the concept of nested models and then move to a presentation on how to carry out and interpret models where variables are entered using either an empirical approach (i.e., forward and backward) or a hierarchical approach (i.e., based on the researcher's conceptual frame). A copy of the data can be downloaded here: https://drive.google.com/open?id=1p1H92YaBWGtHyBovKSb4YnNNZpYl8Pps For more instructional videos and other materials on various statistics topics, be sure to my webpages at the links below: Introductory statistics: https://sites.google.com/view/statisticsfortherealworldagent/home Multivariate statistics: https://sites.google.com/view/statistics-for-the-real-world/home