Charmaine Wah has completed
Intro to Statistics with R: Moderation and Mediation
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Course Description
Moderation and mediation sound alike, but in reality they are quite different. This course will get you acquainted with these complex analytical techniques based on multiple regression. Special attention will go to centering predictors as a way to improve interpretability of results.
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An introduction to moderation
FreeIn this chapter professor Conway will give an introduction to the concepts behind moderation while you will walk through an example. You will define models with and without moderation, and study the difference in performance between these. Furthermore, it will be illustrated how you can visualize the effects of moderation.
Introduction to moderation50 xpData exploration100 xpConclusion results50 xpUse of moderation50 xpCalculate correlations100 xpWhat do the correlations tell you?50 xpModeration model50 xpModel with and without moderation100 xpModel without moderation50 xpModel with moderation50 xpHow to test for moderation50 xpModel comparison100 xpConclusion model comparison50 xpScatterplot100 xpScatterplot: Interpretation50 xp - 2
An introduction to centering predictors
FreeCentering predictors means to take your predictor variable and to put it in deviation form. Centering predictors makes the interpretation of a moderation analysis much simpler, but unfortunately it often is a tedious work. The chapter will focus on the conceptual part behind centering, as well as doing the calculations in R.
Introduction to centering50 xpCentering data100 xpThe mean of centered data50 xpConceptional reasons for centering50 xpCentering versus no centering100 xpChange between the models?50 xpCentering versus no centering: interpretation results50 xpCentering versus no centering with moderation100 xpChange between the two models?50 xpModel comparison100 xpCentered data or not?50 xpStatistical reason50 xpSome correlations100 xpStatistical reason: interpretation results50 xpSummary50 xpWhat are the reasons for centering?50 xpWhat is your conclusion?50 xp - 3
An introduction to mediation
FreeJust like moderation, mediation is a multivariate approach as well. The mediator variable is designed to account for, or to explain the relationship between a predictor and an outcome. You will learn how to do a mediation analysis via a series of multiple regressions, which is the standard approach. The techniques to conduct a mediation analysis in R are illustrated as well.
Introduction to mediation50 xpDifference between moderation and mediation50 xpData exploration100 xpThe basic principles of mediation50 xpWhat will be the approach to test for mediation?50 xpRun 3 regression models on the data100 xpCan you conclude that there is mediation and why or why not?50 xpPartial and full mediation50 xpIs there partial or full mediation in the example?50 xpSobel test100 xp
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