Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Graded Response Model (GRM)× | Latent Class Analysis (LCA)× | |
|---|---|---|
| Vakgebied≠ | Psychometrie | Statistiek |
| Familie | Latent structure | Latent structure |
| Jaar van ontstaan≠ | 1969 | 1950 |
| Grondlegger≠ | Fumiko Samejima | Paul F. Lazarsfeld |
| Type≠ | Item response theory / polytomous IRT model | Latent variable / probabilistic clustering |
| Oorspronkelijke bron≠ | Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometrika Monograph Supplement, No. 17. link ↗ | Hagenaars, J. A. & McCutcheon, A. L. (Eds.) (2002). Applied Latent Class Analysis. Cambridge University Press. ISBN: 978-0521594516 |
| Aliassen | Samejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model | Gizil Sınıf Analizi (LCA), latent class model, latent structure analysis |
| Verwant≠ | 7 | 3 |
| Samenvatting≠ | The Graded Response Model is an item response theory model developed by Fumiko Samejima in 1969 for ordered polytomous items such as Likert-type scales. It estimates both the discriminating power of each item and a set of threshold parameters marking the boundaries between adjacent response categories, while simultaneously placing persons on a continuous latent trait scale. | Latent class analysis is a probabilistic model-based clustering technique that identifies unobserved subgroups — latent classes — within a population on the basis of patterns of categorical, binary, or ordinal indicator responses. Originating in sociological measurement theory with Lazarsfeld's latent structure work around 1950 and formalised computationally by Goodman in the 1970s, it is widely used in the social, health, and behavioural sciences to reveal hidden population heterogeneity. |
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