410.686.81
Advanced Quantitative Methods in the Social and Behavioral Sciences: A Practical Introduction
Location
Internet
Term
4th Term
Department
Health, Behavior and Society
Credit(s)
4
Academic Year
2023 - 2024
Instruction Method
Asynchronous Online
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
140.621-623 or 140.651-653, or consent of instructor
Presents advanced analytic methods relevant to the social ecological model and other theoretical frameworks common in the social and behavioral sciences. Emphasizes multilevel analyses, longitudinal analyses, and propensity score methods. Introduces factor analysis, analysis of experimental studies, structural equation modeling, and complex surveys. Explores the suitability of these methods to address different research questions and study designs. Provides discussions of underlying concepts and assumptions and presents key issues in their application. Illustrates methods through critical review of published articles and by working through examples in Stata. Presents resources for continued advanced study, including methods courses offered through the school.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Describe statistical methods which can address the challenges of conducting social and behavioral public health research
- Critically evaluate the use of advanced statistical methods in the literature
- Propose appropriate methods for addressing complex research questions
- Develop graphic representations of causal models and measurement models for specific hypotheses
- Analyze data using advanced methods
- Identify resources for continued training in advanced statistical methods
Methods of Assessment
This course is evaluated as follows:
- 10% Participation
- 40% Paper(s)
- 50% Assignments