Analysis of Longitudinal Dyadic Data
June 7 - June 9, 2010
Niall Bolger, Ph.D. and Jean-Philippe Laurenceau, Ph.D.
The 15th Summer Institute on Longitudinal Methods was sponsored by The Pennsylvania State University and the National Institute on Drug Abuse. It provided researchers who have varying levels of methodological training the opportunity to familiarize themselves with longitudinal data analysis. In addition, the Institute is designed to facilitate the exchange of ideas among substantive and methodological researchers. 2010's three-day Institute featured a workshop on analysis of longitudinal dyadic data by experts Niall Bolger of Columbia University and Jean-Philippe Laurenceau of University of Delaware.
Videos from 2010 Summer Institute Available
If you weren't able to make it to Institute, you can now benefit from the training through professional videos of the workshop. Videos of the first two days of the Institute, divided into 15 sessions, can be viewed online at http://methodology.psu.edu/training/mcsi10media. Videos include an introduction to dyadic data, Kenny's actor-partner interdependence model, Gonzalez & Griffin's model for cross-sectional dyadic data and extensions to two-wave panel data. Further sessions cover the analysis of repeated measure dyadic data using both growth curve models and multilevel models that capture both autocorrelated and within-couple correlated errors.
2010 Community: http://methodology.psu.edu/summerinstitute/community
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This workshop showed participants how to answer research questions using longitudinal dyadic data. These data present analytic challenges stemming from their various sources of interdependence. Not only is there non-independence between members of the dyad, there is also non-independence of observations within each dyad member. The multilevel or hierarchical linear model is a flexible analytic tool that can accommodate these complexities.
The workshop began by considering the core features of a dyadic design and the resulting dyadic data. It then covered Kenny’s Actor-Partner Interdependence Model and Gonzalez & Griffin’s model for cross-sectional dyadic data as well as extensions to two-wave panel data. The focus then shifted to the analysis of repeated measure dyadic data using both growth curve models and multilevel models that capture both autocorrelated and within-couple correlated errors. Attention was paid to visualization of longitudinal dyadic data. Finally, mediation in longitudinal dyadic diary designs was covered.
Workshop time consisted of lecture, discussion, software demonstrations, and hands-on exercises. In addition, participants were encouraged to bring their own laptops and data to the workshop to analyze on the final day of the workshop. Software used included SAS 9.2 (PROC MIXED and SG graphics procedures) and Mplus.
Dr. Niall Bolger is Professor of Psychology at Columbia University. Currently he has three research interests. He studies adjustment processes in close relationships using intensive longitudinal diary studies and lab-based studies of dyadic behavior, emotion and physiology. He also studies personality processes as they are revealed in patterns of behavior, emotion, and physiology in daily life. Finally, he is interested in statistical methods for analyzing longitudinal and multilevel data. He teaches courses in adult relationships, research methods, and longitudinal data analysis. He is a Charter Member and Fellow of the Association for Psychological Science, a member of the Society for Multivariate Experimental Psychology and of the Society of Experimental Social Psychology. He has served on the Social and Group Processes grant review panel of the National Institute of Mental Health and as Associate Editor of the Journal of Personality and Social Psychology: Interpersonal Relations and Group Processes.
Dr. Jean-Philippe Laurenceau is Associate Professor of Psychology at the University of Delaware. He completed a B.A. cum laude in Psychology from Cornell University and received his Ph.D. from The Pennsylvania State University. His research interests focus on understanding the processes by which partners in marital and romantic relationships develop and maintain intimacy. His methodological interests include diary methods for studying close relationship processes and applications of modern methods for the analysis of change. Dr. Laurenceau has authored numerous national and international research conference presentations and has published in such venues as the Journal of Consulting and Clinical Psychology, the Journal of Personality and Social Psychology, Personality and Social Psychology Bulletin, the Journal of Family Psychology, and Health Psychology. He is also consulting editor for two of these: Journal of Consulting and Clinical Psychology and Journal of Family Psychology. Dr. Laurenceau is principal investigator or co-investigator on research projects funded by the National Institute of Mental Health, National Institute of Child Health and Human Development, and the National Cancer Institute. His is also currently finishing work on a book titled Diary Methods with Dr. Bolger.