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

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Multivariate Unbalanced Designs,re challenging in unbalanced situations. Recall that a covariance components design is called . in this book if either of the corresponding variance components designs is unbalanced. Many real-data applications of multivariate generalizability theory involve unbalanced situations..

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978-1-4419-2938-9Springer Science+Business Media New York 2001

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Generalizability Theory978-1-4757-3456-0Series ISSN 2199-7357 Series E-ISSN 2199-7365

Inclement

Zusammenfassende SchlussbetrachtungThis chapter provides several examples of generalizability analyses that involve estimating random effects variance components for unbalanced designs. Largely, these examples are applications of the theoretical results discussed in Chapter 7. Some additional topics related to unbalanced de signs are introduced as well.

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EWE

https://doi.org/10.1007/978-1-4757-3456-0Generalizability Theory; Variance; analysis of variance; statistics; test theory

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GORGE

Christel Kumbruck,Wibke Derbovenralizability theory. The basic equation is .where p stands for an object of measurement. The principal way in which univariate generalizability theory extends Kelley’s work is through the many different D study designs and universes of generalization that may be employed to characterize .. and arrive at an estimate of it.