Introduction to Dyadic Data Analysis
This virtual workshop will cover an introduction to conducting dyadic data analysis using a structural equation modeling framework in Mplus. The workshop will introduce the conceptual and statistical background for dyadic data analysis. Common applications of dyadic modeling, including the Actor-Partner Interdependence Model (APIM), decomposition of interdependence effects in APIM, and power analysis for APIM will be introduced. Longitudinal applications will also be covered with a light touch. Example datasets and associated Mplus syntax will be provided.
Niall Bolger, Columbia University 
Prof. Bolger has three areas of research. He studies adjustment processes in close relationships using intensive longitudinal research designs that include diary based reports and physiological measurements. 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.
J.P. L
aurenceau, University of Delaware Areas of extertise:
- Research focuses on committed romantic relationships. Laurenceau's work examines marriage, newlyweds, couples therapy and divorce.
- A clinical psychologist, Laurenceau is currently conducting research on couples coping with cancer. He monitors the daily lives of women dealing with breast cancer and their partners, through the use of electronic diaries.
- Other research interests include psychotherapy and applying statistics to assess change and change processes.