APA Acredited Statistics Training
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LIVE STREAM – 3-day Statistics Short Course

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Seminar Overview:

A comprehensive 3-day Stats Camp seminar on Mediation and 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:

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).

Instructor: Mwarumba Mwavita, Ph.D.

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).

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APA Continuing Education Credits:

This course offers 16 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:

This comprehensive 3-day statistics training institute on Mediation and Moderation will enable participants 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:

  • At least limited experience (e.g., graduate-level course) path analysis or SEM

Instructor Bio: Mwarumba Mwavita is an Associate Professor in the Research, Evaluation, Measurement and Statistics (REMS) and Founding Director of the Center for Educational Research and Evaluation (CERE) at Oklahoma State University. He teaches  graduate courses in Multiple Regression, Multivariate,  Mediation and Moderation , Multilevel and Program Evaluation and Cost Benefit analysis. His research focus is in the application of GLM methods in investigating  education policy, equity, and access in addition to STEM education. As the director CERE he plans and conduct program evaluation for funded projects.

Software and Computer Support:

Participants need a laptop computer with Wi-Fi and webcam 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.

Friday February TBD 2023
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
Saturday February TBD 2023
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
Sunday February TBD 2023
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 effectsOne-on-one Consultations with instructor

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