Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Polytomní Raschův model× | Konfirmační faktorová analýza (CFA)× | |
|---|---|---|
| Obor | Psychometrika | Psychometrika |
| Rodina | Latent structure | Latent structure |
| Rok vzniku≠ | 1978–1982 | 1969 |
| Tvůrce≠ | Gerhard N. Masters (Partial Credit Model); David Andrich (Rating Scale Model) | Karl Gustav Jöreskog |
| Typ≠ | Item response model | Hypothesis-testing latent variable model |
| Původní zdroj≠ | Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149–174. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Další názvy | PRM, Rating Scale Model, Partial Credit Model, Polytomous IRT Rasch | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Příbuzné≠ | 6 | 4 |
| Shrnutí≠ | 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. | 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. |
| ScholarGateDatová sada ↗ |
|
|