Comparer des méthodes

	Théorie de la généralisabilité ordinale	Analyse de fiabilité ordinale
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1963–2001	2007
Auteur d'origine	Lee J. Cronbach and Robert L. Brennan	Bruno D. Zumbo and colleagues
Type	Reliability / generalizability analysis	Internal consistency reliability estimation
Source fondatrice	Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826	Zumbo, B. D., Gadermann, A. M. & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta as measures of internal consistency for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29.
Alias	Ordinal G-theory, G-theory for ordinal data, ordinal variance component analysis, G-study for ordered categorical data	ordinal alpha, polychoric reliability, reliability for ordinal scales, ORA
Apparentées	5	5
Résumé	Ordinal generalizability theory extends classical G-theory to the analysis of reliability and measurement error when item responses are ordered categorical (e.g., Likert-type) rather than continuous. It partitions score variance into components attributable to persons, facets, and their interactions, while accounting for the discrete, bounded nature of ordinal rating scales.	Ordinal reliability analysis estimates the internal consistency of scales whose items are measured on ordered-category (Likert-type) response formats. By basing computations on polychoric correlations rather than Pearson correlations, it corrects for the attenuation that standard Cronbach's alpha produces when responses are discrete and non-normal.