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Bayesiansk test af måleinvarians×Differential Item Functioning (DIF)×
FagområdePsykometriPsykometri
FamilieLatent structureLatent structure
Oprindelsesår20131970s–1993
OphavspersonBengt Muthen, Tihomir Asparouhov, Rens Van de SchootWilliam H. Angoff and colleagues (ETS); systematized by Holland & Wainer
TypeBayesian multigroup latent variable testItem-level bias detection
Oprindelig kildeVan de Schoot, R., Kluytmans, A., Tummers, L., Lugtig, P., Hox, J., & Muthen, B. (2013). Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance. Frontiers in Psychology, 4, 770. DOI ↗Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589
AliasserBayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invarianceDIF, item bias analysis, measurement non-equivalence, item-level measurement bias
Relaterede65
ResuméBayesian measurement invariance testing evaluates whether a scale's factor loadings and item intercepts are equivalent across groups, using a Bayesian framework that allows parameters to deviate from strict equality by a small, probabilistically specified amount rather than imposing an exact constraint.Differential item functioning identifies test or survey items that behave differently for examinees from different groups — such as gender, ethnicity, or language background — after controlling for the underlying ability or trait being measured. DIF analysis is essential for fairness evaluation in educational testing and psychological scale development.
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ScholarGateSammenlign metoder: Bayesian Measurement Invariance · Differential Item Functioning. Hentet 2026-06-17 fra https://scholargate.app/da/compare