Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Modelo Rasch Ordinal (Modelos de Escala de Calificación y Crédito Parcial)× | Teoría de Respuesta al Ítem (TRI)× | |
|---|---|---|
| Campo | Psicometría | Psicometría |
| Familia | Latent structure | Latent structure |
| Año de origen≠ | 1978–1982 | 1952–1968 |
| Autor original≠ | David Andrich (RSM, 1978); Geoff Masters (PCM, 1982) | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Tipo≠ | Item response model for ordered categories | Probabilistic measurement model |
| Fuente seminal≠ | Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43(4), 561–573. DOI ↗ | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Alias | Rating Scale Model, Partial Credit Model, RSM, PCM | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Relacionados≠ | 6 | 5 |
| Resumen≠ | The ordinal Rasch model extends the dichotomous Rasch framework to items with ordered response categories such as Likert-type scales. It places both persons and items on a shared interval-level metric, enabling principled measurement from ordinal data while checking whether items function consistently across all response thresholds. | Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons. |
| ScholarGateConjunto de datos ↗ |
|
|