Description
APPLIED MULTIPLE REGRESSION ANALYSIS AND CAUSAL MODELING FOR THE BEHAVIORAL AND COMMUNITY HEALTH SCI
This course was designed to teach advanced graduate students how to use applied multivariate regression analysis to design, propose, and test complex research questions using a causal modeling framework. The course will include a brief review of simple linear regression, and quickly move to advanced multiple regression analysis topics including multiple predictor regression, stepwise regression approaches, the analysis of longitudinal data with regression, and examining mediators, moderators and confounding variables and their relationship to the independent and dependent variables of interest. The course will also include several other brief seminars on regression diagnostics, dichotomous predictors and outcome variables, power analysis, and an introduction to other multivariate analysis frameworks including structural equation modeling and longitudinal growth modeling. Students will be required to bring their own multivariate data set and research questions to use for class assignments, preferably data directly related to their dissertation project.
Details
Grading Basis
Grad Letter Grade
Units
3
Component
Lecture - Required
Offering
Course
BCHS 3707
Academic Group
Grad School of Public Health
Academic Organization
Behavioral & Communty Hlth Sci
Campus
Pittsburgh Campus
Enrollment Requirements
PLAN: Behavioral & Community Hlth Sc (DPH or PhD)
Typically Offered
Spring