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| Messinvarianz bei computergestützten adaptiven Tests× | Testung der Messinvariantheit× | |
|---|---|---|
| Fachgebiet | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Entstehungsjahr≠ | 1990s–2000s | 2000 |
| Urheber≠ | Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing | Vandenberg & Lance |
| Typ≠ | Measurement equivalence testing in adaptive testing contexts | Multi-group confirmatory factor analysis procedure |
| Wegweisende Quelle≠ | Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946 | Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗ |
| Aliasnamen | CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT | Factorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği |
| Verwandt≠ | 6 | 3 |
| Zusammenfassung≠ | Computerized adaptive test measurement invariance evaluates whether a CAT instrument measures the same latent construct with the same psychometric properties across different groups (e.g., gender, language, clinical vs. community) or time points. It combines IRT-based adaptive test frameworks with measurement equivalence testing to ensure fair and comparable score interpretation. | Measurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means. |
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