gtheory-package: Apply generalizability theory with R.

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gtheory provides functions for estimating variance components, generalizability coefficients, universe scores, and standard errors when observed scores contain variation from one or more measurement facets (e.g., items and raters).


gtheory was designed to apply univariate and multivariate generalizability (G). Use it to conduct G and decision (D) studies with balanced or unbalanced data. Future releases will provide the means for calculating universe scores under univariate G theory or within strata, as well as universe-score profiles (a.k.a. augmented true scores) and composite scores under multivariate G theory. Functions to find an optimal study design and to calculate conditional error variance are also in the works.


Christopher T. Moore

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gtheory documentation built on May 2, 2019, 6:59 a.m.