About this course
Page last updated 1 September 2016
We offer one-day courses covering different aspects of applied statistics. Courses are non-credit bearing and are designed for quick learning of the material covered.
Fees for external candidates include refreshments and lunch. Fees for internal candidates include refreshments only. Any course materials, including pre-reading, are included in the fee.
We would expect you to have completed the courses 'Introduction to SPSS' and 'Introduction to Inference' or to be familiar with SPSS and have an understanding of statistical inference.
Overseas students need to have, in advance of application, either a valid student visa or evidence of residency status in the UK.
This one-day course will provide hands-on experience of using regression modelling in SPSS. The start of the course will be devoted to modelling a quantitative outcome with respect to a variety of different types of independent variables (factors, covariates, interactions) and different types of model selection procedures as well as considering the statistical validity of regression models. The course will then progress on to modelling binary outcome variables using the very popular approach known as logistic regression. This course is ideally suited to any researcher working with multiple variables which may be related to a dependent variable. SPSS will be used throughout the day with tutor lead examples to explain concepts. This is a practical hands-on course avoiding a mathematical exposition.
This is a non-credit bearing course and no assessment will be undertaken. You will receive a certificate of attendance on completion of the course.
Supplementary fee information
External participants - £195
UWE Alumni and NHS staff - £150
UWE Staff (including those registered as PhD students) - £100
UWE PhD and Masters students - £60
How to apply
For all enquiries please complete our online enquiry form.
For enquiries relating to course content or its suitability for you, please e-mail <a href="mailto:email@example.com">Dr Paul White </a> or telephone on 0117 32 83145.
For further information
- Email: FET.firstname.lastname@example.org
- Telephone: +44 (0)117 32 83210