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mediation

Member Training: Mediation

by Karen Grace-Martin 1 Comment

Mediation indicates that a mediator M is the causal link in the effect between an independent variable X and a dependent variable Y.

How to test mediation has become a very hot topic of statistical research in the past 10 years, and there are many new advances.

In this webinar, we’ll discuss a number of issues, new and old, in mediation, including the Baron & Kenny 4-step approach, the difference between mediation and moderation, Sobel and bootstrap tests for indirect effects. (And of course, what all these terms mean.)


Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.

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About the Instructor

Karen Grace-Martin helps statistics practitioners gain an intuitive understanding of how statistics is applied to real data in research studies.

She has guided and trained researchers through their statistical analysis for over 15 years as a statistical consultant at Cornell University and through The Analysis Factor. She has master’s degrees in both applied statistics and social psychology and is an expert in SPSS and SAS.

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It’s never too early to set yourself up for successful analysis with support and training from expert statisticians. Just head over and sign up for Statistically Speaking. You'll get access to this training webinar, 100+ other stats trainings, a pathway to work through the trainings that you need — plus the expert guidance you need to build statistical skill with live Q&A sessions and an ask-a-mentor forum.

Tagged With: mediation, Path Analysis

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  • Member Training: Mediated Moderation and Moderated Mediation
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Mediators, Moderators, and Suppressors: What IS the difference?

by Karen Grace-Martin 2 Comments

One of the biggest questions I get is about the difference between mediators, moderators, and how they both differ from control variables.Stage 2

I recently found a fabulous free video tutorial on the difference between mediators, moderators, and suppressor variables, by Jeremy Taylor at Stats Make Me Cry.   The witty example is about the different types of variables–talent, practice, etc.–that explain the relationship between having a guitar and making lots of $$.


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Tagged With: mediation, Moderation, Path Analysis, suppressor variable

Related Posts

  • Five Common Relationships Among Three Variables in a Statistical Model
  • To Moderate or to Mediate?
  • Member Training: Mediated Moderation and Moderated Mediation
  • The Four Models You Meet in Structural Equation Modeling

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