DATA ANALYSIS AND PRESENTATION IN SOCIAL AND BEHAVIORAL SCIENCES RESEARCH Syllabus
Course Learning Objectives
Upon successfully completing this course, students will be able to:
- Explain the importance of measurement theory in social and behavioral sciences
- Construct and validate measures of their data using hands-on exercises
- Develop skills in the application of psychometric theory to social and behavioral sciences research
- Discuss conceptual motivation for mediating variables
- Perform and evaluate mediation analysis in regression analysis
- Explore concept of moderation in the social and behavioral sciences
- Demonstrate improved skills and basic competence in professional writing and presentation
Course DescriptionEnables students to synthesize theories and methodologies from the social and behavioral sciences. Examines the process of conducting social and behavioral sciences research. Presents an overview of available statistical methods that address the challenges of conducting social and behavioral public health research (such as measurement issues, mediation and moderation, latent variables). Develops skills for evaluating research, and presenting and disseminating original research. Integrates and consolidates the first year coursework in theory, measurement, and applied social science methods in research. Prepares students to better understand the modern measurement theory (e.g., CFA) and SEM in second-year coursework (e.g., Statistics for Psychosocial Research).
Intended AudienceHBS doctoral and MHS students
Methods of Assessment50% final paper, 30% class participation, 20% presentation
Prerequisites140.621-140.623 or higher level sequence of biostatistics
Please see the course Session for a full list of dates and items for this course.
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