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Moderation, Mediation, and the PROCESS Macro - Part 1

Two Part Seminar:
 
Friday, October 30, 12:00 - 1:30 pm
Friday, November 13, 12:00 - 1:30 pm
 
Many research questions go beyond 'Is there a relationship between two variables?' to become questions such as 'Under what conditions is there a relationship?' or 'Can I explain the relationship between those variables?'. Moderation and mediation models that can answer these questions are increasingly prevalent in many disciplines, and are becoming easier to run as well. This two-part workshop will focus on the PROCESS macro developed by Andrew Hayes, which facilitates mediation and moderation analyses in SPSS and provides useful features such as generating significance tests for simple slopes in moderation models and providing bootstrapped confidence intervals to test indirect effects in mediational models.
 
Join CRF Methodology Staff Consultant, Joel Ginn, for this two-part seminar open to graduate students, post-docs and faculty. During the seminar series we will cover:
 
  • conceptual and statistical basics of these two models
  • introduce PROCESS (a macro to run these models in SPSS and SAS)
  • demonstrate the macro with a real data-example in SPSS
 
*A computer with SPSS installed is suggested for the second session for participants who would like to practice with a real data example.
 

Joel Ginn

Joel joined CRF in Spring 2018 as a methodology consultant, working with clients to conduct and interpret analyses and developing plans for data analysis. He has training in ANOVA, regression, and multil-level modeling and works primarily with SPSS (with some training in HLM, MPlus, and R). In his own work he studies the underlying psychology of climate change motivations, specifically why people do, or do not, choose to reduce their meat consumption for environmental reasons.

Fees: 

Free and open to the public

Date: 

Friday, October 30, 2020 -
12:00 to 13:30

Location: 

Virtual via Zoom