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Overview of Memory Version 3 Features

May 24, 2025

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

  1. General Introduction
    • Overview of Memory and changes in Version 3.
  2. Installation Guides
    • How to install Memory in SPSS, SAS, or using the dialog box.
  3. Model Templates
    • Explanation of model templates, expanded since Version 2.
  4. Moderated Mediation Models
    • New feature in Version 3.
  5. Conditional Effects Plots
    • Detailed explanation not commonly found in papers.
  6. 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.