380.712.01
Methods in Analysis of Large Population Surveys
Location
East Baltimore
Term
4th Term
Department
Population, Family and Reproductive Health
Credit(s)
3
Academic Year
2012 - 2013
Instruction Method
TBD
Monday, 3:30 - 5:20pm
Lab Times
Wednesday, 3:30 - 4:20pm
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Frequency Schedule
Every Year
Resources
Prerequisite
140.640 or consent of instructor
Introduces the practical aspects of design and analysis of large sample surveys. Covers statistical issues of complex surveys involving stratification and clustering, methods of handling missing data, weighting, sample size estimation and allocation, design-based analysis of frequency tables and multivariate methods for complex surveys. Emphasizes applied, rather than theoretical derivation.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Take survey design into consideration during analysis and perform design-based analyses of data from complex surveys, such as multistage national surveys
- Estimate variances with Taylor linearizations, jacknife, and bootstrapping methods in univariate and multivariate statistics
- Explain advantages and disadvantages and apply design weights
- Examine data missingness patterns and use appropriate imputation methods for missing data
- Compare and contrast design-based analyses to multilevel and marginal models for addressing intraclass correlation and design-effects