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Strategies to Approximate Random Sampling and Assignment

Publication Year:
2009
Edition:
1st
Author:
Dattalo, Patrick
Publisher:
Oxford University Press
ISBN:
978-0-19-537835-1
Doody's Star Rating®:
Score:
92
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Description
Random sampling and random assignment are considered by many researchers to be the definitive methodological procedures for maximizing external and internal validity. However, there is a daunting list of legal, ethical, and practical barriers to implementing random sampling and random assignment. While there are no easy ways to overcome these barriers, social workers should seek and utilize strategies that minimize sampling and assignment bias. These methodological and statistical strategies form the book's core.
In step-by-step chapters Dattalo guides readers in selecting and implementing an appropriate strategy. Readers will gain confidence in using such techniques as exemplar sampling, sequential sampling, randomization tests, multiple imputation, mean-score logistic regression, partial randomization, constructed comparison groups, instrumental variables methods, and propensity scores. Each approach will be cataloged in such a way as to highlight its underlying assumptions, implementation strategies, and strengths and weaknesses.

Annotated resources make this a valuable tool for students, teachers, and researchers seeking a single source that provides a diverse set of tools that will maximize a study's validity when random sampling and random assignment are neither possible nor practical.
Details
Platform:
OvidSP
Publisher:
Oxford University Press
Product Type:
Book
Author:
Dattalo, Patrick
ISBN:
978-0-19-537835-1
Specialty:
  • Social Work
Language:
English
Edition:
1st
Pages:
216
Publication Year:
2009
Doody's Star Rating®:
Score:
92

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