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LIVE STREAM – 4-day Statistics Short Course

Seminar Overview: Mediation and Moderation Training Course

Great! You have an idea you’re interested in, now what? You may even have a theory that X will predict Y, but the more important question, the question that we really what to know is, why does X predict Y, or when does X predict Y. Modeling these mechanisms of change are where Mediation and/or Moderation become your methodological hero!

Seminar Topics:

Our Mediation and Moderation seminar will teach you the fundamentals of framing the relationships between your observations, including how to:

  • Estimate, test, and interpret mediated (i.e., indirect) and moderated (i.e., interaction) effects using OLS regression.
  • Combine mediation and moderation models to test conditional indirect effects.
  • Use a macro called PROCESS for SPSS and SAS to test these models.
  • Apply the latest methods in moderation and mediation analysis using R software.

Seminar Description:

Are you ready to embark on a journey into the intricate world of understanding why and when certain variables predict specific outcomes? In this seminar, we will delve deep into the realms of mediation and moderation analysis, two powerful methodological tools that will unlock the secrets behind causal relationships. Whether you’re a seasoned researcher looking to refine your skills or a budding analyst seeking to grasp the fundamentals, this course promises to elevate your research game and make you a methodological hero!

Who Should Attend:

  • Researchers from various fields interested in enhancing their quantitative research skills.
  • Graduate students seeking to deepen their understanding of causal analysis.
  • Professionals looking to sharpen their data analysis techniques.
  • Anyone curious about unlocking the mysteries behind predictive relationships in data.

Join us on this exciting journey as we unravel the “why” and “when” behind predictive relationships, and become the methodological heroes of your research endeavors!

Instructor: Mwarumba Mwavita, Ph.D.

Mediation and Moderation Training

Mwarumba Mwavita is Director of the Center for Educational Research and Evaluation (CERE) at Oklahoma State University. In addition, he is a Professor in the Research, Evaluation, Measurement and Statistics (REMS) program in the College of Education and Human Sciences at Oklahoma State University where he teachers the GLM sequence of courses that includes ANOVA, Multiple Regression, MANOVA, and Multilevel Modeling.

APA Continuing Education Credits:

This course offers Continuing Education Credits. Yhat Enterprises, LLC is approved by the American Psychological Association to sponsor continuing education for psychologists. Yhat Enterprises, LLC maintains responsibility for this program and its content.

Seminar Includes:

Materials, downloads, recorded course video viewable for up to one year.

Learning Objectives:

At the end of the course, participants will be able to:

  • Compute, test, and interpret mediation models in an OLS regression framework.
  • Evaluate mediation models with four or more variables.
  • Compute, test, interpret, and graph moderation in an OLS regression framework.
  • Work examples using the PROCESS Macro in conducting Mediation, Mderation, and Mediated-Moderated Models
  • Implement moderation in a latent variable framework.
  • Implement moderation in a multilevel framework.
  • Evaluate advanced models that implement moderated mediators, or mediated moderation.

Seminar Audience:

This seminar will be helpful for researchers in any field—including psychology, sociology, education, business, human development, political science, public health, communication—and others who want to learn how to apply the latest methods in moderation and mediation analysis using freely-available R software. Participants should have a good working knowledge of the principles and practice of multiple regression and elementary statistical inference.

Seminar Prerequisites:


  • Intermediate proficiency in multiple linear regression
  • Intermediate proficiency with at least once statistical software package (knowledge of SPSS or SAS are preferred, but not required).
  • At least limited experience using syntax with statistical software.

Not required but advantageous:

  • At least limited experience (e.g., graduate-level seminar) with multivariate data analysis.
  • At least limited experience (e.g., graduate-level seminar) with investigating interactions (in r multiple linear regression or ANOVA)

No level of proficiency beyond basic awareness is assumed for skills related to:

  • Mediation and moderation
  • Advanced statistical techniques such as SEM, MLM, or logistic regression.
  • Advanced mathematical or statistical topics such as matrix algebra or likelihood theory.

Software and Computer Support:

All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.(statistical modeling on remote servers) system for the duration of camp.

Fall  Stats Camp 2023: Mediation Moderation
Monday October 16, 2023
3:00-3:45 Welcome and software review
3:45-4:00 Rest Break
4:00-5:30 Review of regression
5:30-6:30 Rest Break
6:30-8:15 Introduction to mediation
8:15-8:30 Rest Break
8:30-9:00 Computing, testing and interpreting mediation in regression
Tuesday October 17, 2023
3:00-3:45 Mediation with four or more variables
3:45-4:00 Rest Break
4:00-5:30 Latent variable mediation
5:30-6:30 Rest Break
6:30-8:15 Advanced topics in mediation: Multilevel modeling
8:15-8:30 Rest Break
8:30-9:00 Advanced topics in mediation: Longitudinal mediation
Wednesday October 18th, 2023
3:00-3:45 Introduction to moderation
3:45-4:00 Rest Break
4:00-5:30 Computing moderation
5:30-6:30 Rest Break
6:30-8:15 Graphing and interpreting moderation
8:15-8:30 Rest Break
8:30-9:00 Graphing and interpreting moderation in regression / Individual Consultations
Thursday October 19th , 2023
3:00-3:45 Advanced topics in moderation: Multilevel modeling, SEM
3:45-4:00 Rest Break
4:00-5:30 Advanced topics in Moderation: Longitudinal designs
5:30-6:30 Rest Break
6:30-8:15 Advance topics in moderation
8:15-8:30 Rest Break
8:30-9:00 Continue Advanced topics / Individual Consultations

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