Contrasting Classical and Machine Learning Approaches in the Estimation of Value-Added Scores in Large-Scale Educational Data

There is no consensus on which statistical model estimates school value-added (VA) most accurately. To date, the two most common statistical models used for the calculation of VA scores are two classical methods: linear regression and multilevel models. These models have the advantage of being relat...

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Detalles Bibliográficos
Autores principales: Levy, Jessica, Mussack, Dominic, Brunner, Martin, Keller, Ulrich, Cardoso-Leite, Pedro, Fischbach, Antoine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472739/
https://www.ncbi.nlm.nih.gov/pubmed/32973639
http://dx.doi.org/10.3389/fpsyg.2020.02190

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472739/
https://www.ncbi.nlm.nih.gov/pubmed/32973639
http://dx.doi.org/10.3389/fpsyg.2020.02190

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