Often a model is not a simple process from a treatment or intervention to the outcome. In essence, the value of X does not always directly predict the value of Y.
Mediators can affect the relationship between X and Y. Moderators can affect the scale and magnitude of that relationship. And sometimes the mediators and moderators affect each other.
Elaine Eisenbeisz will show you some of the different techniques that are used, explore some elements of good model specification, and share controversies and advances in the current methods of analysis.
Bring your knowledge of linear regression — and maybe even a cup of coffee — as Elaine walks you down the path of mediated moderation and moderated mediation.
Date and Time
Wednesday, June 21, 2017
3 pm – 4:30 pm (US EDT)
(In a different time zone?)
About the Instructor
Elaine Eisenbeisz is a private practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California.Elaine has over 30 years of experience in creating data and information solutions. She designs methodology and analyzes data for studies in the clinical, and biotechnology fields. Additionally, Elaine and Omega Statistics are the go-to resource for ABD students who require assistance with dissertation methodology and analysis.
Throughout her tenure as a private practice statistician, Elaine has published work with researchers and colleagues in peer-reviewed journals. Fitting of her eclectic tastes, her current interests include statistical genetics and psychometric survey development.
Elaine earned her B.S. in Statistics at UC Riverside and her Master’s Certification in Applied Statistics from Texas A&M. She is currently finishing her graduate studies at Rochester Institute of Technology. Elaine is a member in good standing with the American Statistical Association and a member of the Mensa High IQ Society.
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