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Bayesiansk konvergent validitet

Bayesiansk konvergent validitet anvender Bayesiansk statistisk inferens til at vurdere, om forskellige mål for samme konstrukt konvergerer, som teorien forudsiger. Frem for et enkelt korrelationsestimat giver den en fuld posterior fordeling over den konvergente korrelation, hvilket muliggør sandsynlighedsudtalelser om størrelsen af delt varians mellem teoretisk relaterede mål.

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Kilder

  1. Levy, R. & Mislevy, R. J. (2016). Bayesian Psychometric Modeling. CRC Press. ISBN: 978-1466500952
  2. Van de Schoot, R., Depaoli, S., King, R., Kramer, B., Märtens, K., Tadesse, M. G., Vannucci, M., Gelman, A., Veen, D., Willemsen, J. & Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1), 1. DOI: 10.1038/s43586-020-00001-2

Sådan citerer du denne side

ScholarGate. (2026, June 3). Bayesian Convergent Validity Assessment. ScholarGate. https://scholargate.app/da/psychometrics/bayesian-convergent-validity

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ScholarGateBayesian Convergent Validity (Bayesian Convergent Validity Assessment). Hentet 2026-06-15 fra https://scholargate.app/da/psychometrics/bayesian-convergent-validity · Datasæt: https://doi.org/10.5281/zenodo.20539026