Professional course

Regression Modelling

About this course

Course code:
Z41000012
Applications:
University
Level:
Professional/Short Course
Department:
Engineering Design and Mathematics
Campus:
Frenchay
Duration:
One day
Course director:
Dr. Paul White

Page last updated 18 September 2018

Introduction

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.

Entry requirements

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.

Structure

Content

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. 

Assessment

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.

Prices and dates

Supplementary fee information

Please see the table below for current fees and discounts available. All prices are VAT exempt.

Discounts can not be used in conjunction with each other. The greatest discount available will be applied at your booking confirmation.

CohortFull FeeEarly Bird DiscountUWE Alumni/Student DiscountUWE Staff Discount
May 2019£240£216£204£120
Payment Deadline 14 March 201925 April 201925 April 2019

(Fees include car parking, lunch and refreshments)

Course Dates

CohortDateTime

May 2019

Session 1

 

Thursday 9 May 2019

 

10.00 - 16.00

How to apply

How to apply

To make a full or provisional booking for this course, please complete the relevant online booking form below:

Cohort  
May 2019Book NowEnquire Now

 

For further information

  • Email: For all course queries, please complete the online enquiry form above.
  • Telephone: +44 (0)117 32 83649

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