Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Théorie de la généralisabilité ordinale× | Analyse de fiabilité multiniveau× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1963–2001 | 2014 |
| Auteur d'origine≠ | Lee J. Cronbach and Robert L. Brennan | Geldhof, Preacher & Zyphur |
| Type≠ | Reliability / generalizability analysis | Reliability estimation / psychometric modeling |
| Source fondatrice≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826 | Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. Psychological Methods, 19(1), 72–91. DOI ↗ |
| Alias | Ordinal G-theory, G-theory for ordinal data, ordinal variance component analysis, G-study for ordered categorical data | multilevel omega, within-group reliability, between-group reliability, hierarchical reliability |
| Apparentées≠ | 5 | 3 |
| 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. | Multilevel reliability analysis estimates the internal consistency of scale scores separately at the within-group (individual) and between-group (cluster) levels. It corrects the bias that arises when ordinary alpha or omega is applied to hierarchically nested data, such as employees within organizations or students within classrooms. |
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