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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

Chapter:
(p.55) 3 Statistical Alternatives and Supplements to Random Sampling
Source:
Strategies to Approximate Random Sampling and Assignment
Author(s):

Patrick Dattalo

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195378351.003.0003

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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