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.
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.
The Quantitative Research Methods Training Unit (QRM-TU), Ramsden Building, University of Huddersfield.
To find out when the next training session will be held, please visit our online store where you can also book your place.