Pick & Mix: Ordered Multinomial Logistic Regression
Date:
08/07/2015
Organised by:
University of Hertfordshire
Presenter:
Dr Neil H. Spencer
Level:
Intermediate (some prior knowledge)
Contact:
Dr Neil H. Spencer
01707 285574
statistics@herts.ac.uk
Map:
View in Google Maps (AL10 9EU)
Venue:
de Havilland campus,
University of Hertfordshire,
Hatfield,
Herts.
Description:
This course is about undertaking regression modelling when the outcome variable is an ordered category (e.g. level of education), focusing on the practical application of the technique rather than its mathematical complexities.
It is aimed at all who need to analyse data from studies where the outcome of interest is an ordered categorical variable.
The topics covered in this course are ordered multinomial logistic regression and its relationship to binary, multinomial and classical linear regression. These topics will be demonstrated using SPSS.
Prior knowledge of hypothesis testing, ANOVA and regression is essential. Knowledge of binary and multinomial logistic regression would be useful.
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 at http://go.herts.ac.uk/sscu.
Cost:
£90
Website and registration:
Region:
East of England
Keywords:
Regression Methods, Ordinal regression, Quantitative Software, SPSS, Statistics
Related publications and presentations:
Regression Methods
Ordinal regression
Quantitative Software
SPSS