Mediation and Moderation Seminar

Session 2: June 8 – 12, 2020
Albuquerque, NM – Embassy Suites

FAQVenue Info – Hotel Booking
$1,895 Faculty/Professional or $1,145 Student/Post-Doc

Payment Options
Details Per Course Select Option
Professionalshow details + $1,895 (USD)  
Studentshow details + $1,145 (USD)  

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Seminar Syllabus

Summer Stats Camp 2020: Mediation Moderation
Monday June 8, 2020
9:00-10:45 Welcome and software review
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Review of regression
12:30-1:30 Lunch
1:30-3:15 Introduction to mediation
3:15-3:30 Snack and Refreshment Break
3:30-5:00 Computing, testing and interpreting mediation in regression
5:30~7:30 Social “hour” for all Stats Campers
Tuesday June 9, 2020
9:00-10:45 Mediation with four or more variables
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Latent variable mediation
12:30-1:30 Lunch
1:30-3:15 Advanced topics in mediation: Mulilevel modeling
3:15-3:30 Snack and Refreshment Break
3:30-5:00 Advanced topics in mediation: Longitudinal mediation
Wednesday June 10, 2020
9:00-10:45 Introduction to moderation
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Computing omderation
12:30-1:30 Lunch
1:30-3:15 Graphing and interpreting moderation
3:15-3:30 Snack and Refreshment Break
3:30-5:00 Graphing and interpreting moderation in regression / Individual Consultations
Thursday June 11, 2020
9:00-10:45 Advanced topics in moderation: Multilevel modeling, SEM
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Advanced topics in Moderation: Longitudinal designs
12:30-1:30 Lunch
1:30-3:15 Advance topics in moderation
3:15-3:30 Snack and Refreshment Break
3:30-5:00 Continue Advanced topics / Individual Consultations
Friday June 12, 2020
9:00-10:45 Combining mediation and moderation
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Testing and interpreting conditional indirect effects
12:30-1:30 Lunch
1:30-~3:30 Individual Consultations

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources
  • Breakfast (Embassy guests), Lunches, & Snacks Daily

Statistical Methods Seminar Description

Overview: 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.

Instructor: Mwarumba Mwavita Ph.D.

Mwarumba Mwavita is the Director of the Center for Educational Research and Evaluation (CERE) at Oklahoma State University. In addition, he is an Assistant Professor in the Research, Evaluation, Measurement and Statistics (REMS) program in the School of Educational Studies (SES). He received his Bachelor’s Degree in Physics and Education at Kenyatta University, Master’s at University of Central Oklahoma, and Ph.D. in Research, Evaluation, Measurement, and Statistics from Oklahoma State University in 2005. He teaches general linear model (ANOVA, Regression, Multivariate), Mixed Models, and Program Evaluation seminars.

Software and Computer Support

Participants need to bring a laptop computer with Wi-Fi capabilities.

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.

Instruction will be provided for the methods using the most current version of the PROCESS macro ( PROCESS is freely available as a macro for SPSS and SAS. SPSS and SAS are available for Windows, Mac, and Linux environments.

We shall use SPSS software for this seminar.

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.

Statistics 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.

Seminar Files

Seminar files will be emailed to participants on the first day of the seminar.  The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it.

Mediation and Moderation Course on Statistics