Comparar métodos

	Equiparación de Pruebas	Teoría de la Generalizabilidad (G-Theory)
Campo	Psicometría	Psicometría
Familia	Latent structure	Latent structure
Año de origen	1984 (modern statistical treatment)	1963–1972
Autor original	Kolen & Brennan (foundational treatise, 2004/2014); Holland & Dorans (2006)	Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam
Tipo	Score transformation / latent-scale calibration	Variance-components reliability model
Fuente seminal	Kolen, M.J. & Brennan, R.L. (2014). Test Equating, Scaling, and Linking: Methods and Practices (3rd ed.). Springer. ISBN: 978-1-4939-0316-6	Cronbach, L. J., Gleser, G. C., Nanda, H. & Rajaratnam, N. (1972). The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. Wiley.
Alias	Test Eşitleme (Test Equating), score equating, equipercentile equating, IRT true-score equating	G-theory, G-study / D-study framework, variance components reliability
Relacionados	4	4
Resumen	Test equating is a family of statistical methods that converts scores earned on one test form onto the score scale of another form, so that scores from different administrations or versions can be compared and reported on a common metric. The foundational modern treatment is Kolen and Brennan (2004/2014); Holland and Dorans (2006) provide the authoritative chapter-length overview within the field of educational measurement.	Generalizability Theory is a psychometric framework that decomposes observed score variance into multiple sources — persons, items, raters, occasions, and their interactions — using analysis of variance. It replaces the single reliability coefficient of classical test theory with a family of coefficients that tell researchers how well scores generalize across different measurement conditions.