3.0

credits

Average Course Rating

This course will present quantitative approaches to theory construction in the context of multiple response variables, with models for both continuous and categorical data. Topics that will be covered over the three days include the statistical basis for causal inference; principles of path analysis; linear structural equation analysis incorporating measurement models; latent class regression; and analysis of panel data with observed and latent variable models. Examples from the social sciences, including the status attainment approach to intergenerational mobility, behavior genetics models of disease and environment, consumer satisfaction, functional impairment and disability, and quality of life will be presented. Students registered for this course are expected to have an advanced background in statistics or biostatistics.