Mediation and Moderation Analysis for Simple Within-Subject Designs – September 2024
Event Phone: 1-610-715-0115
Upcoming Dates
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12SepApplied Bayesian Data Analysis10:30 AM-3:00 PM
Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).
In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.
An 8-Hour Livestream Seminar Taught by Amanda Montoya, Ph.D.
Mediation and moderation analysis is ubiquitous in social-behavioral sciences; however, most resources for these analytic approaches only cover between-subject designs – where individuals are randomly assigned to a condition or observed once on all variables of interest.
This mini seminar focuses on how to apply these analyses in simple within-subject designs: 1) within-subject experiments where individuals are observed under multiple conditions, 2) pre-post designs where individuals are observed before and after an event/treatment/training and may also be randomly assigned to conditions. Development of within-subject mediation and moderation has been relatively recent, and this workshop will teach students how to use a new analytic tool for this purpose: the MEMORE macro (freely available for SPSS and SAS).
Taught by the creator of this macro, students will learn to estimate and interpret mediation and moderation analyses for simple within-subjects designs. They will learn to conduct power analysis for these designs, how to properly preregister these analyses, describe causal limitations of these analyses, and how to write up results and create graphics to support analyses. Finally, we will describe extensions of these approaches to more complex within-subject designs (e.g., multilevel and longitudinal models), and where to learn more about these approaches.
Venue: Livestream Seminar