About the course

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This course 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.

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 or contact the course organiser, Dr Neil Spencer, on 01707 285529, statistics@herts.ac.uk.

Why choose this course?

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.

See our full range of courses (including our “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.

Entry requirements...

Prior knowledge of hypothesis testing, ANOVA and regression is essential.

Course fees

Dates for 2019/20 to be announced.

£TBA