Comparar métodos
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| Modelo Rasch Ordinal (Modelos de Escala de Calificación y Crédito Parcial)× | Análisis de Ítems Ordinales× | |
|---|---|---|
| Campo | Psicometría | Psicometría |
| Familia | Latent structure | Latent structure |
| Año de origen≠ | 1978–1982 | 1950s–1980s |
| Autor original≠ | David Andrich (RSM, 1978); Geoff Masters (PCM, 1982) | Classical test theory tradition (Guilford, Nunnally, and others) |
| Tipo≠ | Item response model for ordered categories | Item-level diagnostic |
| Fuente seminal≠ | Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43(4), 561–573. DOI ↗ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070474659 |
| Alias | Rating Scale Model, Partial Credit Model, RSM, PCM | item analysis for ordinal data, polytomous item analysis, Likert item analysis, OIA |
| Relacionados | 6 | 6 |
| 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. | Ordinal item analysis evaluates each individual item in a rating-scale or Likert-type instrument using descriptive and correlational statistics suited to ordered categorical response formats. It guides item selection and refinement by flagging items with problematic difficulty, poor discrimination, or low corrected item-total correlations before reliability and validity studies proceed. |
| ScholarGateConjunto de datos ↗ |
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