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LIVE STREAM – 3-day Statistics Short Course

Seminar Overview: Mediation and Moderation Training Course

Mediation and moderation analyses are commonly used in many instances. In many scientific fields research questions have become more complex. Researchers are no longer simply interested in if one variable (X) is related to another (Y). Instead, research questions such as: “Why is X related to Y?” and “When is X related to Y?” abound. This course addresses methods to test why two variables are related (mediation) and when two variables are related (moderation).

Seminar Topics:

  • Classic and contemporary approaches of Mediation and Moderation
  • Estimating mediation effects
  • Estimating Moderation
  • Path analysis
  • Indirect and direct effects
  • Testing intervening variable effects
  • Probing and plotting interactions
  • Combining moderation and mediation

Seminar Description:

This Mediation and Moderation course 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 SPSS with PROCESS MACRO. Participants should have a good working knowledge of the principles and practice of multiple regression and elementary statistical inference.

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 ? hours of 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:

  • Estimate, test, and interpret mediated (i.e., indirect) effects using PROCESS macro in SPSS
  • Estimate, test, and interpret moderated (i.e., interaction) effects using PROCESS macro in SPSS  and other advanced techniques
  • Combine mediation and moderation models to test conditional indirect effects.

Seminar Prerequisites:

Required:

·       Basic proficiency in multiple linear regression

  • Intermediate proficiency with at least one statistical software package (e.g., SPSS, Stata, SAS, R, etc.).

Not required but advantageous for Mediation and Moderation training:

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.

Day 1  Mediation and Moderation Training Course
9:00-9:30 Welcome and introductions
9:30-10:45 Review of Multiple Regression and Path analysis
10:45-11:00 Snack and refreshments break
11:00-12:30 Introduction to Mediation
12:30-13:30 Lunch break
13:30-15:00 Mediation using PROCESS macro with SPSS
15:00-15:15 Snack and refreshments break
15:15-17:00 Serial and Parallel Mediation
Day 2
9:00-10:45 Computing, testing and Interpreting Mediation using PROCESS
10:45-11:00 Snack and refreshments break
11:00-12:30 Introduction to Moderation
12:30-13:30 Lunch break
13:30-15:00 Categorical Moderators Using PROCESS
15:00-15:15 Snack and refreshments break
15:15-17:00 Continuous Moderators and Multiple Moderators
Day 3
9:00-10:45 Graphing and Interpreting Moderation in PROCESS
10:45-11:00 Snack and refreshments break
11:00-12:30 Combining mediation and moderation
12:30-13:30 Lunch break
13:30-17:00 Testing and interpreting conditional Indirect effects

One-on-one Consultations with instructor

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