(734) 615-3908
Applications: Life-span Development, Longitudinal Analyses in Developmental Sciences Methodologies: Hierarchical Linear Modeling, Missing Imputation, Multivariate Statistics, Structural Equation Modeling Relevant Projects: CDC, NIDA

Kai S. Cortina

Professor, Psychology

My major research revolve around the understanding of children’s and adolescents’ pathways into adulthood and the role of the educational system in this process. The academic and psycho-social development is analyzed from a life-span perspective exclusively analyzing longitudinal data over longer periods of time (e.g., from middle school to young adulthood). The hierarchical structure of the school system (student/classroom/school/district/state/nations) requires the use of statistical tools that can handle these kind of nested data.