MISSING DATA PROCEDURES FOR PSYCHOSOCIAL RESEARCH Syllabus
Course Learning Objectives
Upon successfully completing this course, students will be able to:
- List the types of missing data
- Explain the implications of missing data on study conclusions
- Implement the primary strategies for dealing with missing data, including weighting and imputation, and their pros and cons
- Implement weighting approaches to deal with attrition
- Implement multiple imputation approaches to deal with general missing data patterns
Since analyses that use just the individuals for whom data is observed can lead to bias and misleading results, students discuss types of missing data, and its implications on analyses. Covers solutions for dealing with both types of missing data. These solutions include weighting approaches for unit non-response and imputation approaches for item non-response. Emphasizes practical implementation of the proposed strategies, including discussion of software to implement imputation approaches. Focuses on recently developed software to implement multiple imputation, such as IVEware for SAS and ICE for Stata. Examples come from school-based prevention research as well as drug abuse and dependence.
Researchers from JHSPH and elsewhere interested in learning about methods to handle missing data.
Methods of Assessment
Grading Policy: Take home final
Grading Restrictions: Letter grade
Familiarity with linear and logistic regression models.
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.