Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Modèle de Rasch× | Modèle de Réponse Graduée (GRM)× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1960 | 1969 |
| Auteur d'origine≠ | Georg Rasch | Fumiko Samejima |
| Type≠ | Item Response Theory / Latent trait model | Item response theory / polytomous IRT model |
| Source fondatrice≠ | Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen. link ↗ | Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometrika Monograph Supplement, No. 17. link ↗ |
| Alias≠ | 1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model | Samejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model |
| Apparentées≠ | 6 | 7 |
| Résumé≠ | The Rasch model, introduced by Georg Rasch in 1960, is the simplest member of the Item Response Theory (IRT) family. It assigns a single difficulty parameter to each test item and places both item difficulties and person abilities on the same logit scale, enabling direct, sample-independent comparison of items and persons. | The Graded Response Model is an item response theory model developed by Fumiko Samejima in 1969 for ordered polytomous items such as Likert-type scales. It estimates both the discriminating power of each item and a set of threshold parameters marking the boundaries between adjacent response categories, while simultaneously placing persons on a continuous latent trait scale. |
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