Mediation and Moderation Analysis for Simple Within-Subject Designs - Online Course
An 8-Hour Livestream Seminar Taught by
Amanda Montoya10:30am-12:30pm (convert to your local time)
1:30pm-3:30pm
Mediation and moderation analysis is ubiquitous in social-behavioral sciences; however, most resources for these analytic approaches only cover between-subject designs – where individuals are randomly assigned to a condition or observed once on all variables of interest.
This mini seminar focuses on how to apply these analyses in simple within-subject designs: 1) within-subject experiments where individuals are observed under multiple conditions, 2) pre-post designs where individuals are observed before and after an event/treatment/training and may also be randomly assigned to conditions. Development of within-subject mediation and moderation has been relatively recent, and this workshop will teach you how to use a new analytic tool for this purpose: the MEMORE macro (freely available for SPSS and SAS).
Taught by the creator of this macro, you will learn to estimate and interpret mediation and moderation analyses for simple within-subjects designs. You will learn to conduct power analysis for these designs, how to properly preregister these analyses, describe causal limitations of these analyses, and how to write up results and create graphics to support analyses. Finally, we will describe extensions of these approaches to more complex within-subject designs (e.g., multilevel and longitudinal models), and where to learn more about these approaches.
Starting November 20, this seminar will be presented as an 8-hour synchronous, livestream workshop via Zoom. Each day will feature two lecture sessions with hands-on exercises, separated by a 1-hour break. Live attendance is recommended for the best experience. But if you can’t join in real time, recordings will be available within 24 hours and can be accessed for four weeks after the seminar.
Closed captioning is available for all live and recorded sessions. Captions can be translated can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.
ECTS Equivalent Points: 1
More details about the course content
By the end of this class, you will be able to:
- Identify and describe designs for which within-subject mediation and moderation can be used.
- Conduct within-subject mediation and moderation analysis using the MEMORE macro.
- Estimate and interpret total, direct, and indirect effects estimated from within-subject designs.
- Estimate and interpret conditional effects and interactions in within-subject designs.
- Describe causal limitations of mediation and moderation analysis in within-subject designs.
- Conduct power analysis for within-subject mediation and moderation analysis to plan sample size for future studies or evaluate adequacy of sample size in existing studies.
- Write and evaluate reports (e.g., preregistrations, manuscripts, grant proposals) describing plans or results of within-subject mediation and moderation analysis.
- Generate graphs and visual diagrams to describe results of within-subject mediation and moderation analysis.
By the end of this class, you will be able to:
- Identify and describe designs for which within-subject mediation and moderation can be used.
- Conduct within-subject mediation and moderation analysis using the MEMORE macro.
- Estimate and interpret total, direct, and indirect effects estimated from within-subject designs.
- Estimate and interpret conditional effects and interactions in within-subject designs.
- Describe causal limitations of mediation and moderation analysis in within-subject designs.
- Conduct power analysis for within-subject mediation and moderation analysis to plan sample size for future studies or evaluate adequacy of sample size in existing studies.
- Write and evaluate reports (e.g., preregistrations, manuscripts, grant proposals) describing plans or results of within-subject mediation and moderation analysis.
- Generate graphs and visual diagrams to describe results of within-subject mediation and moderation analysis.
Computing
Because this is a hands-on course, you are strongly encouraged to use your own computer (Mac or Windows) with one of the following packages installed: SPSS Statistics (version 23 or later), SAS (release 9.2 or later, with PROC IML installed).
You can choose which statistics package you want to use while working through the course material. You should have good familiarity with the use of SPSS or SAS, including opening and executing data files and programs. You are also encouraged to have your own data available to apply what you’ve learned.
There is now a free version of SAS, called SAS OnDemand for Academics, that is available to anyone.
Because this is a hands-on course, you are strongly encouraged to use your own computer (Mac or Windows) with one of the following packages installed: SPSS Statistics (version 23 or later), SAS (release 9.2 or later, with PROC IML installed).
You can choose which statistics package you want to use while working through the course material. You should have good familiarity with the use of SPSS or SAS, including opening and executing data files and programs. You are also encouraged to have your own data available to apply what you’ve learned.
There is now a free version of SAS, called SAS OnDemand for Academics, that is available to anyone.
Who should register?
This mini-workshop would likely benefit individuals who already are familiar with mediation/moderation analysis in between-subject designs (e.g., with the PROCESS macro); however, individuals without this familiarity will learn the core concepts in the within-subject framework.
You should have a basic understanding of study design and linear regression analysis. You should also be familiar with SPSS or SAS (R users may benefit from this workshop conceptually, but no R code will be provided).
This mini-workshop would likely benefit individuals who already are familiar with mediation/moderation analysis in between-subject designs (e.g., with the PROCESS macro); however, individuals without this familiarity will learn the core concepts in the within-subject framework.
You should have a basic understanding of study design and linear regression analysis. You should also be familiar with SPSS or SAS (R users may benefit from this workshop conceptually, but no R code will be provided).
Seminar outline
Day 1: Introduction and within-subject mediation
- Introduction
- Compare and contrast within-subject and between-subject designs
- Brief overview of between-subject mediation
- Within-subject mediation
- Regression approach to estimating total, indirect, and direct effects in within-subject designs
- Inferential methods for indirect effects
- MEMORE macro for SPSS and SAS
- Causal limitations (within-subject experiment vs. pre-post designs)
- Power analysis
- Preregistration and writing guides
- Visuals for mediation analysis
Day 2: Within-subject moderation
- Within-subject moderation
- Regression approach to estimating conditional effects and interactions in within-subject designs
- Graphs for visualizing interactions
- Methods for probing interactions (simple-slopes and Johnson-Neyman)
- Using MEMORE for within-subject moderation analysis
- Power analysis
- Preregistration and writing guides
- Wrap up
- Moderated mediation: within-subject mediation with random assignment
- Multilevel mediation and moderation
- Longitudinal mediation and moderation
Day 1: Introduction and within-subject mediation
- Introduction
- Compare and contrast within-subject and between-subject designs
- Brief overview of between-subject mediation
- Within-subject mediation
- Regression approach to estimating total, indirect, and direct effects in within-subject designs
- Inferential methods for indirect effects
- MEMORE macro for SPSS and SAS
- Causal limitations (within-subject experiment vs. pre-post designs)
- Power analysis
- Preregistration and writing guides
- Visuals for mediation analysis
Day 2: Within-subject moderation
- Within-subject moderation
- Regression approach to estimating conditional effects and interactions in within-subject designs
- Graphs for visualizing interactions
- Methods for probing interactions (simple-slopes and Johnson-Neyman)
- Using MEMORE for within-subject moderation analysis
- Power analysis
- Preregistration and writing guides
- Wrap up
- Moderated mediation: within-subject mediation with random assignment
- Multilevel mediation and moderation
- Longitudinal mediation and moderation
Payment information
The fee of $695 USD includes all course materials.
PayPal and all major credit cards are accepted.
Our Tax ID number is 26-4576270.
The fee of $695 USD includes all course materials.
PayPal and all major credit cards are accepted.
Our Tax ID number is 26-4576270.