Intermediate: Logistic Regression
Course description
This course builds on the skills taught in the introductory courses as well as on the workshop about correlation and regression. It covers a regression technique that is appropriate for statistical analyses when the dependent variable of interest is dichotomous. Theoretical considerations related to logistic regression, as well as assumptions involved, are addressed.
The course is aimed to be practically oriented with extensive use of the IBM SPSS and Stata statistical packages.
The details of the connection to the Web Conference will be emailed to enrolled participants a day before the course and again an hour before the event. Please contact stats.consultant@flinders.edu.au if you have any questions relating to this course.
Type of course
Web conference
Presenters
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Pawel Skuza
Library
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Who should attend
Staff and Research Higher Degree Students
What you will learn
- Logistic Regression
- Assumptions related to listed above statistical techniques
Prerequisites / assumed knowledge
Preferably participants should attend Introduction to SPSS, Introduction to Stata, Introduction to Statistical Analysis, Intermediate: Understanding Your Data and Checking Assumptions, Intermediate: Correlation and Intermediate: Multiple Regression (or have an understanding of concepts/skills covered in the listed above courses) before enrolling in this workshop.