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Titlebook: Generalizability Theory; Robert L. Brennan Book 2001 Springer Science+Business Media New York 2001 Generalizability Theory.Variance.analys

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书目名称Generalizability Theory
编辑Robert L. Brennan
视频video
概述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 Ed
丛书名称Statistics for Social and Behavioral Sciences
图书封面Titlebook: Generalizability Theory;  Robert L. Brennan Book 2001 Springer Science+Business Media New York 2001 Generalizability Theory.Variance.analys
描述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 gene
出版日期Book 2001
关键词Generalizability Theory; Variance; analysis of variance; statistics; test theory
版次1
doihttps://doi.org/10.1007/978-1-4757-3456-0
isbn_softcover978-1-4419-2938-9
isbn_ebook978-1-4757-3456-0Series ISSN 2199-7357 Series E-ISSN 2199-7365
issn_series 2199-7357
copyrightSpringer Science+Business Media New York 2001
The information of publication is updating

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Jean-Claude Usunier,Björn Walliserstudy design, given a universe of admissible observations. The second stage involves using these estimated variance components in the context of a D study design and universe of generalization to estimate quantities such as universe score variance, error variances, and coefficients. This dichotomy o
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Marketingmix im digitalen Wandel, for any model. By contrast, the D study procedures in Chapter 4 are based solely on using random effects G study estimated variance components. The obvious gap in these discussions is a consideration of general procedures for D studies. That is the subject of Section 5.1. Subsequent sections treat
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Grundlagen interkultureller Verhandlungen, Traditionally, such variability is quantified through estimated standard errors and/or confidence intervals. Cronbach et al. (1972) recognized the importance of this topic for generalizability analyses and gave it more than passing attention, although at that time statistical methodologies for addr
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