Webcast Lecture Series

SEM with Experimental Data

Dr. Bert Weijters
Ghent University

Otcober 18th, 9:00 AM ET

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Lecture Abstract

Structural Equation Modeling is a popular analytic approach but remains underutilized when working with experimental data. This talk discusses some of the advantages of using SEM for experimental data and provides some recommendations on when and how to apply SEM for between-subject, within-subject and mixed designs using dependent variables that are measured with one or many indicators, and including mediation and/or moderation. Some hands-on examples are provided.

Meet the Presenter

Bert Weijters obtained a master in psychology and a PhD in Applied Business Economics. He is an associate professor of consumer research in the department of Work, Organization and Society at the Faculty of Psychology and Educational Sciences at Ghent University, Belgium. His research spans behavior research methods (focusing on survey methods and advanced data analysis and modelling) and applied consumer research on topics including sustainable consumption and consumer technology interaction; his work has been published in international journals in psychology, marketing and methodology, including Psychological Methods, Organization Research Methods, Sociological Methods and Research, Journal of Consumer Research, Journal of Consumer Psychology, Journal of Marketing Research, International Journal of Research in Marketing. Bert Weijters is a member of the editorial board of Organizational Research Methods, International Journal of Research in Marketing, and Journal of Business Research.