This seminar introduces methods of analyzing interactions (moderated effects) in regression models: calculating, comparing and graphing simple effects and slopes. Specifically, we emphasize the use of proc plm and the lsmeans and estimates statements in SAS in conjunction with a solid understanding of the regression equation. Examples include two- and three-way interactions in linear regression and two-way interactions in logistic regression. Although the concepts of moderation and interaction are reviewed in the seminar, some background in regression and moderation is recommended.

Note: Non-UCLA researchers may attend this workshop if space is available for all interested UCLA researchers. There is no online component to this workshop, and this workshop will not be recorded.