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A Rasch Model and Rating System for Continuous Responses Collected in Large-Scale Learning Systems
An extension to a rating system for tracking the evolution of parameters over time using continuous variables is introduced. The proposed rating system assumes a distribution for the continuous responses, which is agnostic to the origin of the continuous scores and thus can be used for applications...
Autores principales: | Deonovic, Benjamin, Bolsinova, Maria, Bechger, Timo, Maris, Gunter |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775507/ https://www.ncbi.nlm.nih.gov/pubmed/33391063 http://dx.doi.org/10.3389/fpsyg.2020.500039 |
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