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Education and Human Sciences

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


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

Dr. Robert A. Ackerman

Dr. Ackerman's 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.
- Associate Professor of Psychological Sciences
University of Texas at Dallas