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
![Niall Bolger, Ph.D.](/sites/default/files/2020-08/Niall.jpg)
Professor of Psychology,
Columbia University
![Jean-Philippe (J-P) Laurenceau, Ph.D.](/sites/default/files/2020-08/Laurenceau.jpg)
Professor, Psychological and Brain Sciences,
University of Delaware