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  • Strategies to Approximate Random Sampling and Assignment

    Strategies to Approximate Random Sampling and Assignment by Dattalo, Patrick;

    Series: Pocket Guides to Social Work Research Methods;

      • GET 10% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 35.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        16 249 Ft (15 475 Ft + 5% VAT)
      • Discount 10% (cc. 1 625 Ft off)
      • Discounted price 14 624 Ft (13 928 Ft + 5% VAT)

    16 249 Ft

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    printed on demand

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher OUP USA
    • Date of Publication 12 November 2009

    • ISBN 9780195378351
    • Binding Paperback
    • No. of pages216 pages
    • Size 140x208x12 mm
    • Weight 249 g
    • Language English
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    Long 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 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.

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    Table of Contents:

    Basic Concepts, Organization of Book, and Assumptions
    Methodological Alternatives and Supplements to Random Sampling
    Statistical Alternatives and Supplements to Random Sampling
    Methodological Alternatives and Supplements to Random Assignment
    Alternatives and Complementary Strategies to Random Assignment
    Summary and Conclusions
    Annotated Bibliography
    References

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