Strategies to Approximate Random Sampling and Assignment

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.

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