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