Learning Outcomes
Explore ways to deal with data not meeting assumptions or data that has been not correctly acquired. Topics include interpenetrating subsamples, estimating means and totals over subpopulations, random-response models, use of weights in sample surveys, adjusting for nonresponse, imputation, selecting the number of callbacks, and the bootstrap procedure. Summary and comparison of designs and methods Readings
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Key Concepts/Questions
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