Conceptually, a moderator is a variable that modifies the effect of a predictor on a response. Analytically, a common approach as used in most moderation analyses is to add analytic interactions involving the predictor and moderator in the form of cross-variable products and to test the significance of such terms. The narrow scope of such a procedure is inconsistent with the broader conceptual definition of moderation, leading to confusion in interpretation of study findings. 

In this seminar, Dr Daniel Boduszek will show a procedure that is consistent with the concept of moderation. The proposed framework defines moderation as a process that modifies an existing relationship between the predictor and the outcome, rather than simply a test of a predictor by moderator interaction. 

The seminar uses SPSS and ModGraph to demonstrate the moderation effects. The Modgraph can be downloaded for free. The course is run by Dr Daniel Boduszek who has applied moderation analysis in his numerous psychological, social science, and medical research publications.

Course outline

  1. Why and when moderation analysis is used
  2. Theoretical Introduction to moderation and regression analysis
  3. Introduction to SPSS and ModGraph environment 
  4. Simple and Hierarchical Multiple Regression 
  5. Simple and Hierarchical Logistic Regression
  6. Multinomial Logistic Regression
  7. Moderation Analysis (unstandardized and standardized solution) using continuous and categorical moderators (SPSS)
  8. The use of ModGraph
  9. Interpretation and reporting of results for publication purpose
  10. Practical session

Who should attend?

The course is designed for researchers and postgraduate students with some experience of data analysis and who are comfortable using SPSS and who want to expand their understanding of more sophisticated techniques. The prerequisite for taking this seminar is basic knowledge of correlation analysis. Researchers from economics, public health, epidemiology, psychology, sociology, social work, medical research, education, and similar disciplines are welcome.

Why Quantitative Research Methods Training Unit?

  • We know that learning statistical analysis can be a daunting and unpleasant experience at times. This is why we present complicated procedures in a simple way, avoiding jargon and confusing mathematical formulas at all costs! We teach researchers everything they need to know in order to finish their projects in a relaxed and friendly atmosphere where they are helped and encouraged every step of the way.
  • The uniqueness of Quantitative Research Methods Training Unit is the focus on the practical application of Moderation Analysis, not mathematical procedures.
  • Dr Daniel Boduszek has an extensive experience in the application of moderation analysis techniques which is documented in his numerous publications.
  • The course is delivered by means of lectures and practical sessions. All analyses are conducted under supervision of Dr Daniel Boduszek and three tutors (Dr Susie Kola, Dr Katie Dhingra, and Ms Kathryn Sharratt) to maximise learning outcomes (we offer a 1:5 instructor student ratio). Each course concludes with a question and answer session, and there is always the opportunity for participants to discuss their own studies with the tutors.


The Quantitative Research Methods Training Unit (QRM-TU), Ramsden Building, University of Huddersfield.

Book now

To find out when the next training session will be held, please visit our online store where you can also book your place.