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| Teoria della Generalizzabilità per Test Adattivi Computerizzati× | Analisi di Affidabilità Multilivello× | |
|---|---|---|
| Campo | Psicometria | Psicometria |
| Famiglia | Latent structure | Latent structure |
| Anno di origine≠ | 1972 (G-theory); CAT application 1990s–2000s | 2014 |
| Ideatore≠ | Lee J. Cronbach (G-theory); applied to CAT by Brennan and others | Geldhof, Preacher & Zyphur |
| Tipo≠ | Reliability / generalizability analysis | Reliability estimation / psychometric modeling |
| Fonte seminale≠ | 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 | CAT G-theory, adaptive test generalizability, G-theory in CAT, computerized adaptive generalizability analysis | multilevel omega, within-group reliability, between-group reliability, hierarchical reliability |
| Correlati≠ | 6 | 3 |
| Sintesi≠ | Generalizability theory (G-theory) applied to computerized adaptive testing (CAT) evaluates the dependability of adaptive test scores by decomposing score variance across measurement facets such as persons, items, and occasions. Unlike classical test theory, G-theory quantifies multiple simultaneous sources of measurement error, offering a richer reliability picture for adaptively administered assessments. | 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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