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Dynamic Bayesian Networks in Educational Measurement: Reviewing and Advancing the State of the Field
Peer reviewed
Direct linkReichenberg, Ray – Applied Measurement in Education, 2018
As the popularity of rich assessment scenarios increases so must the availability of psychometric models capable of handling the resulting data. Dynamic Bayesian networks (DBNs) offer a fast, flexible option for characterizing student ability across time under psychometrically complex conditions. In this article, a brief introduction to DBNs is…
Descriptors: Bayesian Statistics, Measurement, Student Evaluation, Psychometrics
