5th Annual Statistics Workshop

Dyadic Data Analysis for Cross-Sectional and Longitudinal Data 

featuring Dr. Robert A. Ackerman

May 15-16  8:30am-4:30pm

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This workshop will focus on analyses for designs in which the same variables are measured for both members of a dyad at a single time point or repeatedly over time. Attendees will learn about basic terminology in dyadic data analysis (e.g., distinguishability) as well as how to restructure their data into formats that are appropriate for the analyses to be discussed. The remainder of the workshop will focus on how to use Multilevel Modeling to estimate the Actor-Partner Interdependence Model (APIM) for indistinguishable and distinguishable dyads in cross-sectional data, as well as the Dyadic Growth-Curve Model and the Cross-Lagged APIM for distinguishable dyads in longitudinal data. 

 

This workshop is intended for researchers who possess a strong familiarity with multiple regression and some familiarity with multilevel modeling. The SPSS software will be used to illustrate analyses.

 

Additional Information

• Outline of Topics
  • Introduction to Terminology and Data Structures in Dyadic Data Analysis
    • Definitions and Types of Dyadic Designs
    • Data Structures and Data Restructuring
    • Introduction to Multilevel Modeling
  • Cross-Sectional Dyadic Data Analysis
    • Introduction to the Actor-Partner Interdependence Model (APIM)
    • Estimation of the APIM for Indistinguishable Dyads
    • Estimation of the APIM for Distinguishable Dyads
  • Longitudinal Dyadic Data Analysis
    • Data Structures and Data Restructuring
    • Estimation of Dyadic Growth-Curve Model for Distinguishable Dyads
    • Estimation of Cross-Lagged APIM for Distinguishable Dyads
• Presenter: Dr. Robert A. Ackerman

  Dr. Robert A. Ackerman is an Associate Professor of Psychological Sciences at the University of Texas at Dallas. His research program investigates how the quality of interpersonal relationships (e.g., roommate relationships, romantic relationships) is impacted by the characteristics of the individuals that comprise them. Because his substantive interests involve processes that occur within relationships and therefore often involve non-independent data, Dr. Ackerman is particularly interested in analytic models for both cross-sectional and longitudinal dyadic data. He teaches graduate courses on quantitative methods at his university, and has taught workshops on dyadic data analysis for several years.

• Intended Audience

  This workshop is intended for researchers who work with data in which the same variables are measured for both members of a dyad at a single time point or repeatedly over time. Attendees are expected to possess a strong familiarity with multiple regression and some familiarity with multilevel modeling. The SPSS software will be used to illustrate analyses. Attendees would benefit from reviewing Chapters 1, 2, 4, 7, and 13 of Dyadic Data Analysis (Kenny, Kashy, & Cook, 2006) for preparation. This workshop will expand upon the topics in these chapters and provide concrete suggestions for estimating dyadic models and writing up the results for publication. Additional suggested readings and course materials will be provided.

• Hotel Information

  The Atherton Hotel on the Oklahoma State campus is providing a discounted rate ($98 per night) for attendees who reserved their room by April 14^th, while discounted rooms remain available. To qualify, please reserve your room by phone at 405-744-6835 and request the discounted rate for the Statistics Workshop. Let hotel know beforehand to get the free shuttle from the Stillwater airport (SWO).