Advanced Data Modelling
Date:
07/07/2015 - 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 topics beyond basic analysis techniques including building statistical/predictive models involving covariates and confounding factors. It also covers the analysis of variables which are binary, categorical and ordered categories.
It is aimed at those with a working knowledge of statistics who wish to learn about or improve their competence and confidence in using more advanced methods of analysing data, including psychologists, behavioural, health and social scientists. It is particularly suitable for those who have participated in our Intermediate/Refresher Course in Statistics. You are encouraged to bring your own data for discussion/analysis.
The topics covered in this course are ANCOVA/MANOVA/MANCOVA, binary logistic regression, multinomial logistic regression, ordered multinomial logistic regression. These topics will be demonstrated using SPSS.
Prior knowledge of hypothesis testing, ANOVA and regression is essential.
Topics on this course are also available as part of our “Pick & Mix” range. Please note that by doing this course, you are obtaining a discount on the fees for undertaking the individual “Pick & Mix” elements.
See our full range of courses (including our “Pick & Mix” selection) at http://go.herts.ac.uk/sscu.
Cost:
£499
Website and registration:
Region:
East of England
Keywords:
Regression Methods, Ordinary least squares (OLS), Generalized liner model (GLM), ANOVA, ANCOVA, Linear regression, Logistic regression, Ordinal regression, SPSS, Creating graphs and charts, Statistics
Related publications and presentations:
Regression Methods
Ordinary least squares (OLS)
Generalized liner model (GLM)
ANOVA
ANCOVA
Linear regression
Logistic regression
Ordinal regression
SPSS
Creating graphs and charts