Poverty, neighborhoods, families and parenting, child well-being. Program evaluation. Advanced statistical models such as models for multilevel and longitudinal data, and models for categorical outcomes.
Andrew Grogan-Kaylor's current research focuses on the way in which parenting behaviors, like the use of physical punishment, or parental expressions of emotional warmth, have an effect on child outcomes like aggression, antisocial behavior, anxiety and depression, and how these dynamics play out across contexts, neighborhoods, and cultures. A lot of his work is done with international samples. In his work he uses advanced statistical models, like multilevel models and some econometric models, and software like Stata, R, HLM and ArcGIS, to examine things like growth and change over time, or community, school or parent effects on children and families.
He has a growing interest in developing interventions for underserved populations, particularly among Spanish speaking people, and much of his current work is focused on evaluating interventions for underserved and Spanish speaking populations.