Statistical Alternatives and Supplements to Random Sampling
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
Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
If you think you should have access to this title, please contact your librarian.