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| Polytome Konstruktvalidität× | Polytomes Rasch-Modell× | |
|---|---|---|
| Fachgebiet | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Entstehungsjahr≠ | 1992–2000 | 1978–1982 |
| Urheber≠ | Building on Messick (1989) and IRT extensions by Masters, Muraki, and Samejima | Gerhard N. Masters (Partial Credit Model); David Andrich (Rating Scale Model) |
| Typ≠ | Psychometric validity framework | Item response model |
| Wegweisende Quelle≠ | Muraki, E. (1992). A generalized partial credit model: Application of an EM algorithm. Applied Psychological Measurement, 16(2), 159–176. DOI ↗ | Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149–174. DOI ↗ |
| Aliasnamen | polytomous item construct validity, ordered-category construct validity, polytomous measurement validity, multi-category scale validity | PRM, Rating Scale Model, Partial Credit Model, Polytomous IRT Rasch |
| Verwandt | 6 | 6 |
| Zusammenfassung≠ | Polytomous construct validity refers to the evaluation of whether a scale composed of ordered, multi-category items (e.g., Likert or rating-scale items) genuinely measures the intended latent construct. It extends classical validity frameworks to polytomous measurement models — such as the Graded Response Model or Generalized Partial Credit Model — ensuring that ordered response categories function as designed and that the resulting scores reflect the target construct. | The Polytomous Rasch Model extends the dichotomous Rasch framework to ordered response scales with three or more categories, such as Likert items or partial-credit tasks. It estimates person ability and item difficulty on the same interval-level logit scale, and it tests whether the response categories function as intended — prerequisites for rigorous ordinal measurement. |
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