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Robust Rasch-modell

Den robuste Rasch-modellen anvender det standardiserte en-parameter logistiske Rasch-rammeverket med estimeringsprosedyrer designet for å begrense innflytelsen fra uteliggende svar på en oppgave, avvikende respondenter eller milde modellbrudd, og produserer stabile estimater for oppgave- og personparametere som er mindre følsomme for datakontaminering enn ordinær maksimum likelihood- eller betinget maksimum likelihood-estimering i Rasch-modellen.

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  1. Strobl, C., Wickelmaier, F., & Zeileis, A. (2011). Accounting for individual differences in Bradley-Terry models by means of recursive partitioning. Journal of Educational and Behavioral Statistics, 36(2), 135–153. DOI: 10.3102/1076998609359791
  2. Mislevy, R. J., & Bock, R. D. (1982). Biweight estimates of latent ability. Educational and Psychological Measurement, 42(3), 725–737. DOI: 10.1177/001316448204200302

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ScholarGate. (2026, June 3). Robust Rasch Model. ScholarGate. https://scholargate.app/no/psychometrics/robust-rasch-model

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ScholarGateRobust Rasch Model (Robust Rasch Model). Hentet 2026-06-15 fra https://scholargate.app/no/psychometrics/robust-rasch-model · Datasett: https://doi.org/10.5281/zenodo.20539026