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"Understanding When and For Whom: Moderation Analysis for Two-Instance Repeated-Measures Designs"
Moderation analysis is a statistical approach to investigating under what conditions an effect occurs. In psychological science this approach is typically used to evaluate when an effect occurs or for whom the effect occurs. Two-instance repeated-measures designs, where the causal factor of interest varies across the two repeated measurements (think paired t-test) are incredibly common in psychology, and frequently used for the benefit of increased statistical power with smaller samples. However, testing and probing moderation in these designs is not as immediately apparent as in the between-subject design. In this talk we will discuss how to estimate, probe, and present moderation analyses for these designs. Additionally, we'll discuss handling multiple moderators.