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380.712.01 METHODS IN ANALYSIS OF LARGE POPULATION SURVEYS

Term: 4th term
Credits: 3 credits
Academic Year: 2013 - 2014
Course Instructor:
Description:

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 Objective(s):
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, jackknife, 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

Location: East Baltimore
Class Times:
  • Monday 3:30 - 5:20
Lab Times:
  • Wednesday 3:30 - 4:20
Enrollment Minimum: 10
Instructor Consent: No consent required
Prerequisite:

140.640 or consent of instructor

Grading Restriction: Letter Grade or Pass/Fail
Jointly Offered With: