Accessible to any professional or researcher who has a basic understanding of analysis of variance, Shavelson and Webb offer an intuitive development of generalizability theory, a technique for estimating the relative magnitudes of various components of error variation and for indicating the most ef
Generalizability Theory
β Scribed by Robert L. Brennan (auth.)
- Publisher
- Springer-Verlag New York
- Year
- 2001
- Tongue
- English
- Leaves
- 543
- Series
- Statistics for Social Sciences and Public Policy
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 proceΒ 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 conΒ 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 GenΒ 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 essenΒ 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.
β¦ Table of Contents
Front Matter....Pages i-xx
Introduction....Pages 1-20
Single-Facet Designs....Pages 21-51
Multifacet Universes of Admissible Observations and G Study Designs....Pages 53-94
Multifacet Universes of Generalization and D Study Designs....Pages 95-139
Advanced Topics in Univariate Generalizability Theory....Pages 141-177
Variability of Statistics in Generalizability Theory....Pages 179-213
Unbalanced Random Effects Designs....Pages 215-247
Unbalanced Random Effects DesignsβExamples....Pages 249-266
Multivariate G Studies....Pages 267-300
Multivariate D Studies....Pages 301-345
Multivariate Unbalanced Designs....Pages 347-390
Multivariate Regressed Scores....Pages 391-429
Back Matter....Pages 431-538
β¦ Subjects
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law; Assessment, Testing and Evaluation; Psychometrics
π SIMILAR VOLUMES
Explaining and comparing the various standard types of generalised functions which have been developed during the 20th Century, this text also contains accounts of recent non-standard theories of distributions, ultradistributions and Stato-hyperfunctions. The book could readily be used as a main tex
Introduction to distributions; Further properties of distributions; Generalised functions and fourier analysis; Analytic representation; Multiplication of generalised functions; Infinitesimal analysis; Non-standard theories; References and index
Explaining and comparing the various standard types of generalised functions which have been developed during the 20th Century, this text also contains accounts of recent non-standard theories of distributions, ultradistributions and Stato-hyperfunctions. The book could readily be used as a main tex