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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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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 11 December 2019

Basic Concepts and Assumptions

Basic Concepts and Assumptions

Chapter:
(p.3) 1 Basic Concepts and Assumptions
Source:
Strategies to Approximate Random Sampling and Assignment
Author(s):

Patrick Dattalo

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195378351.003.0001

This chapter defines important terms and concepts. It is assumed that readers are familiar with issues related to the appropriate application of each statistical procedure in terms of assumptions and purpose. Interested readers should refer to the appendix for an annotated bibliography of additional resources. The chapter summarizes the books organization as follows: 1. Methodological Alternatives and Supplements to Random Sampling a. Deliberate Sampling for Diversity and Typical Instances b. Sequential Sampling 2. Statistical Alternatives and Supplements to Random Sampling a. Randomization Tests b. Multiple Imputation c. Mean-Score Logistic Regression 3. Methodological Alternatives and Supplements to Random Assignment a. Sequential Assignment and Treatment-As-Usual Combined b. Partially Randomized Preference Trials 4. Statistical Alternatives and Supplements to Random Assignment a. Constructed Comparison Groups b. Propensity Score Matching c. Instrumental Variables Methods 5. Summary and Conclusions

Keywords:   random, selection bias, random sampling, external validity, random assignment, external validity, random sampling model, random assignment model, general linear model

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