WHY YOU SHOULD ATTEND
Have you considered using a secondary dataset instead of collecting your own information but didn’t know what was available and whether it contained variables of interest? Data collection for individual research projects can be time-consuming, expensive, and may result in sample sizes that are both too small for rigorous statistical analysis and raise issues around generalizability.
Established large nationally-representative datasets can solve many of these problems but are often underutilized due to lack of awareness. The purpose of this workshop is to introduce faculty and students in the social sciences, communications, public health, and education to ADD HEALTH, a data goldmine that explores the contextual effects of peer, school, neighborhood and family on health and health-related behaviors and outcomes. Come and see if this dataset has anything to offer you!!!
WHAT IS ADD HEALTH
The National Longitudinal Study of Adolescent and Adult Health data set is the largest longitudinal study of American adolescents publicly-available to qualified researchers. It is a nationally representative sample that includes four waves of data beginning in 1994-1995, when the participants were in 7-12th grade, to 2007-2008, when the participants were 24-34 years of age. It includes genetic and other biomarkers as well as over 9000 variables derived from questions on physical and mental health, education, work and social context, family and peer relationships, and sensitive topics such as substance use, sexuality, and gambling.
WHAT WILL YOU LEARN?
The orientation will describe what is in the dataset, what types of research has been conducted using the dataset, and how CRF can facilitate your work with the dataset. Several faculty who have used ADD HEALTH in their work will be present to describe their experience with the dataset and answer questions concerning access and feasibility. CRF staff will discuss plans to form a User’s Group of interested researchers that will continue after the workshop to investigate potential uses for the ADD HEALTH data.
VIEW THE SLIDES FROM THE LECTURE:
WATCH THE VIDEO OF THE LECTURE HERE: