Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Ordinale Generalisatietheorie× | Betrouwbaarheidsanalyse voor ordinale data× | |
|---|---|---|
| Vakgebied | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Jaar van ontstaan≠ | 1963–2001 | 2007 |
| Grondlegger≠ | Lee J. Cronbach and Robert L. Brennan | Bruno D. Zumbo and colleagues |
| Type≠ | Reliability / generalizability analysis | Internal consistency reliability estimation |
| Oorspronkelijke bron≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826 | Zumbo, B. D., Gadermann, A. M. & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta as measures of internal consistency for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI ↗ |
| Aliassen | Ordinal G-theory, G-theory for ordinal data, ordinal variance component analysis, G-study for ordered categorical data | ordinal alpha, polychoric reliability, reliability for ordinal scales, ORA |
| Verwant | 5 | 5 |
| Samenvatting≠ | Ordinal generalizability theory extends classical G-theory to the analysis of reliability and measurement error when item responses are ordered categorical (e.g., Likert-type) rather than continuous. It partitions score variance into components attributable to persons, facets, and their interactions, while accounting for the discrete, bounded nature of ordinal rating scales. | Ordinal reliability analysis estimates the internal consistency of scales whose items are measured on ordered-category (Likert-type) response formats. By basing computations on polychoric correlations rather than Pearson correlations, it corrects for the attenuation that standard Cronbach's alpha produces when responses are discrete and non-normal. |
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