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
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