APA Acredited Statistics Training
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IN PERSON – 5-day Statistics Short Course

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Seminar 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!

Seminar Topics:

  • Coming Soon…

Seminar Description:

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 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 29 hours of Continuing Education Credits. Stats Camp Foundation is approved by the American Psychological Association to sponsor continuing education for psychologists. Stats Camp Foundation maintains responsibility for this program and its content.

Seminar Includes:

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

Learning Objectives:

The five-day training institute on Mediation and Moderation will enable participants to:

  • Compute, test, and interpret mediation models in an OLS regression framework.
  • Evaluate mediation models with four or more variables.
  • Implement latent variable mediation.
  • Implement mediation in a multilevel framework.
  • Evaluate mediation in a longitudinal framework.
  • Compute, test, interpret, and graph moderation in an OLS regression framework.
  • Implement moderation in a latent variable framework.
  • Implement moderation in a multilevel framework.
  • Evaluate advanced models that implement moderated mediators, or mediated moderation.

Seminar Prerequisites:

Required:

  • 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:

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 (processmacro.org). 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.

Seminar Files

Instructor will provide password on first day of seminar.

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.

 

Summer Stats Camp 2023: Mediation Moderation
Monday June 12, 2023
9:00-10:45 Welcome and software review
10:45-11:00 Rest Break
11:00-12:30 Review of regression
12:30-1:30 Rest Break
1:30-3:15 Introduction to mediation
3:15-3:30 Rest Break
3:30-5:00 Computing, testing and interpreting mediation in regression
Tuesday June 13, 2023
9:00-10:45 Mediation with four or more variables
10:45-11:00 Rest Break
11:00-12:30 Latent variable mediation
12:30-1:30 Rest Break
1:30-3:15 Advanced topics in mediation: Mulilevel modeling
3:15-3:30 Rest Break
3:30-5:00 Advanced topics in mediation: Longitudinal mediation
Wednesday June 14, 2023
9:00-10:45 Introduction to moderation
10:45-11:00 Rest Break
11:00-12:30 Computing moderation
12:30-1:30 Rest Break
1:30-3:15 Graphing and interpreting moderation
3:15-3:30 Rest Break
3:30-5:00 Graphing and interpreting moderation in regression / Individual Consultations
Thursday June 15, 2023
9:00-10:45 Advanced topics in moderation: Multilevel modeling, SEM
10:45-11:00 Rest Break
11:00-12:30 Advanced topics in Moderation: Longitudinal designs
12:30-1:30 Rest Break
1:30-3:15 Advance topics in moderation
3:15-3:30 Rest Break
3:30-5:00 Continue Advanced topics / Individual Consultations
Friday June 16, 2023
9:00-10:45 Combining mediation and moderation
10:45-11:00 Rest Break
11:00-12:30 Testing and interpreting conditional indirect effects
12:30-1:30 Rest Break
1:30-~3:30 Individual Consultations

 

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