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
Enables 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).
HBS doctoral and MHS students
Methods of Assessment
Grading Policy: 50% final paper, 30% class participation, 20% presentation
Grading Restrictions: Letter grade
140.621-140.623 or higher level sequence of biostatistics
Academic Ethics Code
The code, discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class:
Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.
Disability Support Services
If you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Student Life Services: email@example.com, 410-955-3034, or 2017 E. Monument Street.