September 25, 2014
Head Start is the largest federally funded preschool program for disadvantaged children. Some people have questioned its worth because research has shown relatively small impacts on cognitive and social skills. In a forthcoming article in Child Development, Methodology Center Affiliate Brittany Rhoades Cooper and Methodology Center Scientific Director Stephanie Lanza perform latent class analysis (LCA) on the Head Start Impact Study dataset to identify subgroups of children who have similar home environments and caregivers.
The authors then examine cognitive, behavioral, and relationship skills measured two years later to determine whether the effects of Head Start vary across these subgroups. Their approach could have broad application by researchers interested in using latent class analysis to understand differential effects of an intervention by simultaneously considering multiple potential moderators.