SPSS - Training

Statistical Methods 3a: Logistic Regression

Course Description

This one-day course provides advanced training for those who have attended either “Statistical Methods 2a: Correlation and Regression” or “Statistical Methods for Health Care Research”. In this session you will build on your knowledge of Linear Regression and be introduced to Logistic Regression (available in IBM^® SPSS^® Regression Module*). We will include categorical predictors in Regression models via dummy variables, discuss variable selection methods, model building philosophies and learn how to run and interpret Logistic Regression in IBM SPSS Statistics*.

Who Should Attend

Survey and Market Researchers, Business and Health Care Professionals who want to analyse binary outcome data using logistic regression methods

Prerequisites

Knowledge of the basics of IBM SPSS Statistics and statistical knowledge equivalent to the course: Statistical Methods for Health Care Research
or
Knowledge of the basics of IBM SPSS Statistics equivalent to the course: Level 1: Introduction
and
Statistical knowledge equivalent to the level of the courses: Statistical Methods 1: Essentials
and
Statistical Methods 2a: Correlation and Regression

Course Content

Review of Multiple Linear Regression
Influential points and multicollinearity
Including categorical predictors in regression models via dummy variables
Running Logistic Regression in IBM SPSS Statistics
ROC Curves
Interpreting Logistic Regression output

Products Used

IBM SPSS Statistics Base and IBM SPSS Regression

Duration

1 day

*IBM SPSS Statistics formerly known as PASW Statistics.
IBM SPSS Regression formerly known as PASW Regression.