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Bayesiansk konvergent validitet×Diskriminant validitet×
FagområdePsykometriPsykometri
FamilieLatent structureLatent structure
Oprindelsesår2000s–2010s1959
OphavspersonBuilding on Campbell & Fiske (1959) convergent validity; Bayesian extension developed in modern psychometrics literatureDonald T. Campbell and Donald W. Fiske
TypeValidity assessment / Bayesian inferenceValidity evidence / psychometric evaluation
Oprindelig kildeLevy, R. & Mislevy, R. J. (2016). Bayesian Psychometric Modeling. CRC Press. ISBN: 978-1466500952Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗
AliasserBayesian convergent validity analysis, Bayesian MTMM convergent validity, Bayesian multitrait convergent validity, BCVdiscriminant validity evidence, divergent validity, DV, AVE-based discriminant validity
Relaterede65
ResuméBayesian convergent validity applies Bayesian statistical inference to assess whether different measures of the same construct converge as theory predicts. Rather than a single-point correlation estimate, it yields a full posterior distribution over the convergent correlation, enabling probability statements about the magnitude of shared variance between theoretically related measures.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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ScholarGateSammenlign metoder: Bayesian Convergent Validity · Discriminant Validity. Hentet 2026-06-15 fra https://scholargate.app/da/compare