Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Convergente Validiteit voor Gecomputeriseerde Adaptieve Tests× | Discriminante Validiteit× | |
|---|---|---|
| Vakgebied | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Jaar van ontstaan≠ | 1989–2000 | 1959 |
| Grondlegger≠ | Samuel Messick (validity framework); Wainer and colleagues (CAT context) | Donald T. Campbell and Donald W. Fiske |
| Type≠ | Validity evidence / construct validation | Validity evidence / psychometric evaluation |
| Oorspronkelijke bron≠ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| Aliassen | CAT convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT | discriminant validity evidence, divergent validity, DV, AVE-based discriminant validity |
| Verwant | 5 | 5 |
| Samenvatting≠ | Convergent validity assessment for computerized adaptive tests (CATs) examines whether the ability or trait estimates produced by an adaptive algorithm correlate substantially with scores from other measures of the same construct. Because each examinee receives a different subset of items in a CAT, demonstrating that the resulting scores still converge with theoretically related external measures is a critical step in establishing construct validity evidence. | Discriminant validity is evidence that a latent construct is empirically distinct from other constructs it should differ from. Originating in Campbell and Fiske's multitrait-multimethod framework (1959), it is a core component of construct validity and a mandatory check in scale development and structural equation modeling. |
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