Generalizability Theory / Edition 1

Generalizability Theory / Edition 1

by Robert L. Brennan, R. L. Brennan
     
 

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ISBN-10: 0387952829

ISBN-13: 9780387952826

Pub. Date: 08/09/2001

Publisher: Springer New York

Generalizability theory offers an extensive conceptual framework and a powerful set of statistical procedures for characterizing and quantifying the fallibility of measurements. Robert Brennan, the author, has written the most comprehensive and up-to-date treatment of generalizability theory. The book provides a synthesis of those parts of the statistical

Overview

Generalizability theory offers an extensive conceptual framework and a powerful set of statistical procedures for characterizing and quantifying the fallibility of measurements. Robert Brennan, the author, has written the most comprehensive and up-to-date treatment of generalizability theory. The book provides a synthesis of those parts of the statistical literature that are directly applicable to generalizability theory. The principal intended audience is measurement practitioners and graduate students in the behavioral and social sciences, although a few examples and references are provided from other fields. Readers will benefit from some familiarity with classical test theory and analysis of variance, but the treatment of most topics does not presume specific background.

Product Details

ISBN-13:
9780387952826
Publisher:
Springer New York
Publication date:
08/09/2001
Series:
Statistics for Social and Behavioral Sciences Series
Edition description:
2001
Pages:
538
Product dimensions:
6.20(w) x 9.40(h) x 1.40(d)

Table of Contents

Introduction
• Single-facet Designs
• Multifacet Universes of Admissible Observations and G Study Designs
• Multifacet Universes of Generalization and D Study Designs
• Advanced Topics in Univariate Generalizability Theory
• Variability of Statistics in Generalizability Theory
• Unbalanced Random Effects Designs
• Unbalanced Random Effects Designs--Examples
• Multivariate G Studies
• Multivariate D Studies
• Multivariate Regressed Scores

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