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| Multigrupps generaliserbarhetsteori× | Multigrupps-Raschmodell× | |
|---|---|---|
| Ämnesområde | Psykometri | Psykometri |
| Familj | Latent structure | Latent structure |
| Ursprungsår≠ | 1963–2001 | 1960 (Rasch); 1980s–1990s (multi-group extensions) |
| Upphovsperson≠ | Lee J. Cronbach and colleagues (Cronbach, Gleser, Nanda, Rajaratnam), extended to multi-group contexts by Brennan and others | Georg Rasch (single-group); extended to multi-group applications by Fischer, Molenaar, and others |
| Typ≠ | Variance component / reliability generalization | Item response model / measurement invariance test |
| Ursprungskälla≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826 | Fischer, G. H. & Molenaar, I. W. (Eds.) (1995). Rasch Models: Foundations, Recent Developments, and Applications. Springer. ISBN: 978-0387944296 |
| Alias | MG G-theory, multi-group G-theory, generalizability theory across groups, cross-group G-study | MG-Rasch, Rasch measurement invariance, multi-group 1PL IRT, cross-group Rasch analysis |
| Närliggande | 6 | 6 |
| Sammanfattning≠ | Multi-group generalizability theory (MG G-theory) extends classical generalizability theory to estimate and compare variance components — attributable to persons, items, raters, occasions, and their interactions — simultaneously across two or more defined groups. It reveals whether a measurement procedure is equally reliable and generalizable for every group studied, supporting fair and equitable score interpretation. | The multi-group Rasch model fits the one-parameter logistic item response model simultaneously across two or more distinct groups, testing whether item difficulty parameters are invariant across groups. It is the primary psychometric tool for establishing that a scale measures the same latent trait with the same metric in each group, a prerequisite for meaningful score comparisons. |
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