Intermediate/Refresher Course in Statistics
Statistical Services and Consultancy Unit
University of Hertfordshire, Hatfield
Contact: Neil Spencer (statistics@herts.ac.uk)
Tuesday 26th – Thursday 28th June 2012
This course takes place on the University's state-of-the-art de Havilland campus.
Who is it for?
Created with psychologists, behavioural, health and social researchers in mind, this is a course aimed at those who wish to improve their competence and confidence in analysing data from surveys and experiments. 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 and hypothesis testing. 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 Essential Data Analysis course or both of our Comparing Groups and Relationships in Data
courses should have appropriate prior knowledge.
What does the course cover?
The topics covered in the course are:
- SPSS
- revision of hypothesis testing
- analysis of Variance (ANOVA)
- non-parametric alternatives to ANOVA
- simple & multiple regression, focussing on building a model
- sample size and power
- detecting patterns and outliers in data
Course fee: £660 (£550 excl VAT) including teas/coffees, and lunch
Discounts are available for those attending more than one course (such as the preceding Essential Data Analysis or follow-on Higher 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 hypothesis testing
11:30 SPSS Introduction/Refresher
12:45 Lunch
13:45 Revision of correlation and simple linear regression
14:30 Correlation and simple linear regression in SPSS
15:15 Tea/Coffee
15:30 Multiple regression
16:15 Multiple regression in SPSS
17:00 End of day
Day Two
09:30 One-way analysis of variance
10:15 One-way analysis of variance in SPSS
11:00 Tea/Coffee
11:15 Two-way analysis of variance
12:00 Two-way analysis of variance in SPSS
12:45 Lunch
13:45 Non-parametric alternatives to analysis of variance
14:30 Non-parametric alternatives to analysis of variance in SPSS
15:15 Tea/Coffee
15:30 Choosing the right analysis
16:00 End of day
Day Three
09:30 Sample size and power
11:00 Tea/Coffee
11:15 Detecting patterns and outliers in data
12:00 Detecting patterns and outliers in data in SPSS and Excel
12:45 Lunch
13:45 Discussion of delegates' research/data
14:45 Tea/Coffee
15:00 Further 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.