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

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rods366

infarct

Single-Facet Designs, single facet, usually referred to as an item facet. Also, it is usually assumed that the population consists of persons. For a single-faceted universe, there are two designs that might be employed in a G study: the . × . or the .:. design, where the letter . is used to index persons (or examinees),

Expurgate

Multifacet Universes of Admissible Observations and G Study Designs,study 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

书法

Multifacet Universes of Generalization and D Study Designs,tudy variance components have been estimated for a . model. Given these assumptions, this chapter provides procedures, equations, and rules for estimating universe score variance, error variances, generalizability coefficients, and other quantities for random and mixed model D studies with any numbe

cushion

Advanced Topics in Univariate Generalizability Theory, 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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Memorial

Unbalanced Random Effects Designs,ical complexities, and even some conceptual ones. In practice, however, generalizability analyses with real data are often characterized by unbalanced designs. Unbalanced random effects designs are the subject of this chapter. Unbalanced mixed effects designs are treated using multivariate generaliz

Cryptic

Multivariate G Studies,n developing multivariate generalizability theory, which they regard as the principal novel contribution of their work. In multivariate generalizability theory, each object of measurement has multiple universe scores, each of which is associated with a condition of one or more fixed facets, and ther

Epidural-Space

Multivariate D Studies,f generalization and D studies. Section 10.2 treats a selected set of other issues that, in most cases, are probably less central than the issues covered in Section 10.1. All of the issues, and most of the results and procedures, discussed in this chapter apply to both balanced and unbalanced multiv