Higher Course in Statistics
Statistical Services and Consultancy Unit
University of Hertfordshire, Hatfield
Contact: Neil Spencer (statistics@herts.ac.uk)
Wednesday 4th - Thursday 5th July 2012
Who is it for?
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 one of our Intermediate/Refresher Courses in Statistics (formerly known as Level 1 Refresher Courses in Statistics). You are encouraged to bring your own data for discussion/analysis.
What prior knowledge is assumed?
It is assumed that delegates on this course will have knowledge of probability, the Normal distribution, hypothesis testing, regression and ANOVA techniques. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully. Delegates who have been on our Intermediate/Refresher Course in Statistics should have appropriate prior knowledge.
What does the course cover?
The topics covered in the course are:
- SPSS
- revision of multiple regression
- the general linear model - ANOVA
- the general linear model - adjusting for confounding variables
- introduction to multilevel modelling
- logistic regression
- factor analysis
- introduction to structural equation modelling
Course fee: £560 (£466.67 excl VAT) including teas/coffees, and lunch
Discounts are available for those attending more than one course (such as the preceding Intermediate/Refresher Course in Statistics), research students, those on limited incomes and University of Hertfordshire staff and students.
Please see below for a draft programme and click here to see how to apply (and details of fees/discounts). For enquiries, please phone 01707 285574 or e-mail statistics@herts.ac.uk.
Please click for details of accommodation available and maps/travel information.
Draft Programme
Day One
10:00 Registration and tea/coffee (room M116)
10:30 Domestic announcements and introductions
10:45 Revision of regression
11:15 SPSS Introduction/Refresher
12:00 The general linear model: introduction and analysis of variance
13:00 Lunch
13:45 The general linear model in SPSS: analysis of variance
14:30 The general linear model: adjusting for confounding variables
15:15 Tea/Coffee
15:30 The general linear model in SPSS: adjusting for confounding variables
16:15 Introduction to multilevel modelling
17:00 End of day
Day Two
09:15 Tea/Coffee
09:30 Logistic regression
10:30 Logistic regression in SPSS
11:00 Tea/Coffee
11:15 Logistic regression in SPSS (continued)
11:45 Factor analysis
12:45 Lunch
13:30 Factor analysis in SPSS
14:15 Introduction to structural equation modelling
15:00 Tea/Coffee
15:15 Discussion of delegates' research/data
16:00 End of course
Please note that this programme is intended as a guide only and may be subject to change.