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Generalizability Theory

  • Book
  • © 2001

Overview

Authors:
  1. Robert L. Brennan

    1. Iowa Testing Programs, University of Iowa, Iowa City, USA

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  • This book provides the most comprehensive and up-to-date treatment of this theory
  • Professor Brennan is well known in the area of educational testing and the winner of a book award from the American Educational Research Association

Part of the book series: Statistics for Social and Behavioral Sciences (SSBS)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xx
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  2. Introduction

    • Robert L. Brennan
    Pages 1-20

  3. Single-Facet Designs

    • Robert L. Brennan
    Pages 21-51

  4. Multifacet Universes of Admissible Observations and G Study Designs

    • Robert L. Brennan
    Pages 53-94

  5. Multifacet Universes of Generalization and D Study Designs

    • Robert L. Brennan
    Pages 95-139

  6. Advanced Topics in Univariate Generalizability Theory

    • Robert L. Brennan
    Pages 141-177

  7. Variability of Statistics in Generalizability Theory

    • Robert L. Brennan
    Pages 179-213

  8. Unbalanced Random Effects Designs

    • Robert L. Brennan
    Pages 215-247

  9. Unbalanced Random Effects Designs—Examples

    • Robert L. Brennan
    Pages 249-266

  10. Multivariate G Studies

    • Robert L. Brennan
    Pages 267-300

  11. Multivariate D Studies

    • Robert L. Brennan
    Pages 301-345

  12. Multivariate Unbalanced Designs

    • Robert L. Brennan
    Pages 347-390

  13. Multivariate Regressed Scores

    • Robert L. Brennan
    Pages 391-429

  14. Back Matter

    Pages 431-538
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Keywords

About this book

In 1972 a monograph by Cronbach, Gleser, Nanda, and Rajaratnam was published entitled The Dependability of Behavioral Measurements. That book incorporated, systematized, and extended their previous research into what came to be called generalizability theory, which liberalizes classical test theory, in part through the application of analysis of variance proce­ dures that focus on variance components. Generalizability theory is perhaps the most broadly defined measurement model currently in existence, and the Cronbach et al. (1972) treatment of the theory represents a major con­ tribution to psychometrics. However, as Cronbach et al. (1972, p. 3) state, their book is "complexly organized and by no means simple to follow" and, of course, it is nearly 30 years old. In 1983, ACT, Inc. published my monograph entitled Elements of Gen­ eralizability Theory, with a slightly revised version appearing in 1992. That treatment is considerably less comprehensive than Cronbach et al. (1972) but still detailed enough to convey much ofthe richness of the theory and to facilitate its application. However, the 1983/1992 monograph is essen­ tially two decades old, it does not cover multivariate generalizability theory in depth, and it does not incorporate recent developments in statistics that bear upon the estimation of variance components. Also, of course, there have been numerous developments in generalizability theory in the last 20 years.

Reviews

From the reviews:

The book provides a comprehensive and up-to-date treatment of generalizability theory. It provides a synthesis of those parts of the statistical literature that are directly applicable to generalizability theory." Mathematical Reviews

"...This book belongs in every measurement specialist's reference collection, as a resource to which to turn for insight into virtually any question about GT, whether it deals with univariate or multivariate applications. There is simply nowhere else to get such a comprehensive presentation of the theory." Psychometrika

"This book fills a need for up-to-date presentation, critical review, and analysis of issues in generalizability theory, particularly in multivariate generalizability theory. Brennan has for many years been at the forefront of research and development in generalizability theory and he provides a well-written, thoughtful, focused analysis of recent issues. I would highly recommend this book to anyone seriously interested in learning about generalizability theory. It is an excellent resource for anyone wanting to use generalizability theory in research … ." (Laura L. B. Barnes, Journal of Education Measurement, 2002)

Authors and Affiliations

  • Iowa Testing Programs, University of Iowa, Iowa City, USA

    Robert L. Brennan

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