教学目的、要求
This course will expose students to the types of research and analytic techniques found in the field of social and behavioral sciences. The bases for learning will be reading, lectures, discussion, and final projects. Topics include the analysis of missing data, hierarchical (multilevel) modeling, exploratory and confirmative factor analysis, structural equation modeling, latent class modeling, causal inference, measurement issues in mental health, designs of group randomization, cost-effectiveness analysis, and correction of verification bias in assessment of Alzheimer’s disease.
预修课程

教材

主要内容
Lecture 1. The use of latent variables in social and behavioral health studies Lecture 2. Analysis of missing data in mental health studies Lecture 3. Hierarchical (multilevel) modeling for clustered data in mental health studies Lecture 4. Latent class models and Structural equation models with latent variables Lecture 5. Causal inferences in behavioral science trials Lecture 6. Cost-effectiveness analysis in mental health studies Lecture 7. Review and exam