Strategies to Approximate Random Sampling and Assignment

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Strategies to Approximate Random Sampling and Assignment (Pocket Guide to Social Work Research Methods)

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 liberally illustrated with examples using a variety of software packages, 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.

Screen shots, annotated resources, and a companion website 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.

Country	USA
Author	Patrick Dattalo
Binding	Kindle Edition
Edition	1
EISBN	9780199702930
Format	Kindle eBook
Label	Oxford University Press
Manufacturer	Oxford University Press
NumberOfPages	216
PublicationDate	2009-10-29
Publisher	Oxford University Press
ReleaseDate	2009-10-29
Studio	Oxford University Press

Strategies to Approximate Random Sampling and Assignment (Pocket Guide to Social Work Research Methods)

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