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| Generalisierbarkeitstheorie für computergestützte adaptive Tests× | Retest-Reliabilität× | |
|---|---|---|
| Fachgebiet | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Entstehungsjahr≠ | 1972 (G-theory); CAT application 1990s–2000s | 1904 |
| Urheber≠ | Lee J. Cronbach (G-theory); applied to CAT by Brennan and others | Karl Pearson |
| Typ≠ | Reliability / generalizability analysis | Reliability estimate |
| Wegweisende Quelle≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826 | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497 |
| Aliasnamen | CAT G-theory, adaptive test generalizability, G-theory in CAT, computerized adaptive generalizability analysis | stability reliability, temporal stability, repeatability coefficient, TRT reliability |
| Verwandt≠ | 6 | 4 |
| Zusammenfassung≠ | 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. | Test-retest reliability quantifies the temporal consistency of a measure by correlating scores obtained from the same participants on two separate occasions. It is a cornerstone of psychometric validation, directly indicating whether a scale or instrument yields stable scores when the underlying construct has not changed. |
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