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| Ordinal Rasch Model× | Confirmatory factor analysis× | |
|---|---|---|
| Campo | Psicometria | Psicometria |
| Famiglia | Latent structure | Latent structure |
| Anno di origine≠ | 1978–1982 | 1969 |
| Ideatore≠ | David Andrich (RSM, 1978); Geoff Masters (PCM, 1982) | Karl Gustav Jöreskog |
| Tipo≠ | Item response model for ordered categories | Hypothesis-testing latent variable model |
| Fonte seminale≠ | Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43(4), 561–573. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Alias | Rating Scale Model, Partial Credit Model, RSM, PCM | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Correlati≠ | 6 | 4 |
| Sintesi≠ | 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. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
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