Webinar
Event Materials
Event Series
FLASHE
Niall Bolger, Ph.D. 
, and Jean-Philippe (J-P) Laurenceau, Ph.D. , introduce viewers to cross-sectional, dyadic analysis using data from the Family Life, Activity, Sun, Health, and Eating (FLASHE) study. Dyadic data present analytic challenges because they have various sources of interdependence (e.g. non-independence between members of the dyad such as a parent and a child). Flexible analytic tools (e.g. path modeling, multilevel modeling) can accommodate these complexities. Viewers will gain introductory-level understanding of dyadic data analysis. Additional resources, such as sample code for preparing data files and conducting dyadic analyses are available on the FLASHE dyadic resources page.
Speakers
Professor of Psychology,
Columbia University
Professor, Psychological and Brain Sciences,
University of Delaware