Lecture Notes: Introduction to Memory Version 3 by Amanda Montoya
About the Speaker
- Name: Amanda Montoya
- Position: Assistant Professor of Quantitative Psychology at UCLA
Purpose of the Video Series
- Created for beta testers of Memory Version 3.
- Aims to provide a fun, interesting way to learn about Memory through video format instead of just documentation.
Video Series Overview
- General Introduction
- Overview of Memory and changes in Version 3.
- Installation Guides
- How to install Memory in SPSS, SAS, or using the dialog box.
- Model Templates
- Explanation of model templates, expanded since Version 2.
- Moderated Mediation Models
- New feature in Version 3.
- Conditional Effects Plots
- Detailed explanation not commonly found in papers.
- Wrap-up Video
- Additional details and resources if certain aspects are not of interest.
Introduction to Memory
- Definition: Macro for SPSS and SAS for mediation and moderation in repeated measures designs.
- Name Origin: Mediation and Moderation for Repeated Measures designs.
- Functionality:
- Allows mediation and moderation analyses in repeated measures.
- Works with continuous mediators and continuous outcome variables.
- Not suitable for dichotomous outcomes (a student is working on this).
- Utilizes different scores to model the effect of repeated measures factors on outcomes.
- Appropriateness:
- Memory is used when the causal variable is a repeated measures factor.
- Not suitable for cases with measured X variables.
What's New in Version 3
- Development History:
- Version 1: Mediation.
- Version 2: Added Moderation.
- Version 3: Adds Moderated Mediation.
- New Additions:
- Models 4-18: Incorporate one moderator into simple or parallel mediation models.
- Smarter mean centering:
- Center = 0: No centering.
- Center = 1: Centers all moderators, including dichotomous ones.
- Center = 2: Centers only non-dichotomous moderators.
Changes in Version 3
- Bias Corrected Bootstrap Confidence Interval:
- Removed due to inflated Type I error rates.
- Default is now Percentile Bootstrap Confidence Interval.
- Monte Carlo Confidence Interval remains available.
- Standard Error Calculation Error:
- Discovered error in normal standard error estimates for serial mediation models.
- Affected users of the normal = 1 option.
- Corrections made; parallel mediation models unaffected.
This concludes the introduction video. Further details will be available in the subsequent videos.