Training and Events
Multiple Regression using SPSS
|University of Sheffield|
Dr Chris Stride
View in Google Maps (S10 2TN)
Dr Charlotte McClelland
|Multiple Regression Analysis using SPSS|
Monday 25th June, 2012; 9.30am to 5.30pm
at the Hicks Building, University of Sheffield
Who is the course aimed at?
This course is aimed at researchers and post-graduate students in the social sciences who want to use multiple regression to analyze their data.
It should appeal to those who have knowledge of basic statistical tests and a basic grasp of the ideas of multiple regression but want to gain practical experience in fitting regression models, and to those with experience of running simple multiple regression analysis who want to explore more complex scenarios, such as using dummy variables to include categorical predictors, or calculating and entering interaction terms to fit moderated regression models.
Some previous experience of using SPSS to perform basic statistical analysis is expected. No previous experience of running multiple regression analysis in SPSS is required, though a basic understanding of the principles/motivation for such analyses will be helpful.
Course content and aims:
The course will cover the following topics:
Standard multiple regression - the theory and assumptions behind least-squares fitting
Running simple regression models in SPSS
Test statistics and diagnostic plots
Hierarchical regression strategies; controlling for background variables
Hierarchical regression strategies; assessing intervening/mediation effects
Incorporating polynomial terms to model non-linear relationships
Incorporating categorical variables as predictors by using dummy variables
Testing for interaction ('moderation') effects between continuous and/or categorical predictors
The course comprises of a mixture of short lectures on the basic theory behind the statistical techniques listed above, teaching via examples worked through by the trainer on real data sets which participants can follow, and exercises to practice the skills just learned. You will also receive a 90-page coursebook containing all the notes and worked examples, providing an easy reference and reminder for the techniques you have learned.
Course schedule: The course will start at 9.30am, with a lunch break from 1pm-2pm, and short coffee breaks at 11.30am and 3.30pm. It will finish at around 5pm-5.30pm, though I will be willing to stay on for a while after this and to answer questions pertinent to participants' own data sets or any other regression queries you may have.
Intermediate (some prior knowledge)
Website and registration
Yorkshire and Humberside
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