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Strategies to Approximate Random Sampling and Assignment$
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Patrick Dattalo

Print publication date: 2009

Print ISBN-13: 9780195378351

Published to Oxford Scholarship Online: February 2010

DOI: 10.1093/acprof:oso/9780195378351.001.0001

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Statistical Alternatives and Supplements to Random Sampling

Statistical Alternatives and Supplements to Random Sampling

(p.55) 3 Statistical Alternatives and Supplements to Random Sampling
Strategies to Approximate Random Sampling and Assignment

Patrick Dattalo

Oxford University Press

This chapter describes the following alternatives and complements to RS in terms of their assumptions, implementations, strengths, and weaknesses: (1) randomization tests; (2) multiple imputation; and (3) mean-score logistic regression. Randomization tests are statistical alternatives to RS. Multiple imputation is a statistical supplement RS. Mean-score logistic regression is a statistical alternative or supplement to RS.

Keywords:   quasi-experiment, true experiment, relative efficiency of a test, nonparametric test, randomization test, multiple imputation, missing completely at random (MCAR), missing at random (MAR), missing not at random (MNAR), listwise deletion, pairwise deletion, mean substitution, hot-deck imputation, regression imputation, maximum likelihood, expectation maximization, mean-score logistic regression, auxiliary data

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