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Advanced Quantitative Methods in the Social and Behavioral Sciences: a Practical Introduction


East Baltimore
4th term
Health Behavior and Society
4 credits
Academic Year:
2022 - 2023
Instruction Method:
Hybrid In-person and Asynchronous Online
Class Times:
  • M W,  1:30 - 3:20pm
Auditors Allowed:
Yes, with instructor consent
Undergrads Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Brian Weir

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:

  1. Describe statistical methods which can address the challenges of conducting social and behavioral public health research
  2. Critically evaluate the use of advanced statistical methods in the literature
  3. Propose appropriate methods for addressing complex research questions
  4. Develop graphic representations of causal models and measurement models for specific hypotheses
  5. Analyze data using advanced methods
  6. 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

Instructor Consent:

No consent required