About the course

Back to course listing

This course is aimed at all who need to analyse data from studies where the outcome of interest is an unordered categorical variable.

The topics covered in this course are multinomial logistic regression and its relationship to binary and classical linear regression. These topics will be demonstrated using SPSS.

This pick & mix topic is also available as part of our “Advanced Data Modelling” course, alongside other pick & mix topics. Please note that by doing the combined course, you would be obtaining a discount on the fees for undertaking the individual pick & mix elements.

See our full range of courses (including our entire “Pick & Mix” selection) at http://go.herts.ac.uk/sscu or contact the course organiser, Dr Neil Spencer, on 01707 285529, statistics@herts.ac.uk.

Why choose this course?

This course is about undertaking regression modelling when the outcome variable is categorical (e.g. choice of occupation), focusing on the practical application of the technique rather than its mathematical complexities.

Entry requirements...

Prior knowledge of hypothesis testing, ANOVA and regression is essential. Knowledge of binary logistic regression would be useful.

Course fees

Dates for 2019/20 to be announced.