Statistical Procedures for Social and Clinical Sciences

Catalog description

This course will be an introduction to a variety of statistical perspectives pertinent to social and clinical sciences. The goal will be to introduce key concepts and provide R code for a variety of analytic frameworks such as moderation, mediation, measurement modeling (e.g., factor analysis, structural equation modeling, measurement invariance), hierarchical linear modeling/multilevel models (e.g., non-Gaussian adaptations using generalized linear models), network models, and idiographic modeling. At the end of this course, students will have sufficient experience in these techniques to run basic applications independently and have the knowledge necessary to determine relevant next steps in their statistical specializations.