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R. G. Almond, R. J. Mislevy L. S. Steinberg D. Yan & D. M. Williamson (2015). Bayesian Networks in Educational Assessment. NY: Springer. ISBN: 1493921258. DOI: 10.1007/978-0-387-98138-3

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R. G. Almond, R. J. Mislevy L. S. Steinberg D. Yan & D. M. Williamson (2015). Bayesian Networks in Educational Assessment. NY: Springer. ISBN: 1493921258. DOI: 10.1007/978-0-387-98138-3

Published online by Cambridge University Press:  01 January 2025

Nikky van Buuren
Affiliation:
University of Twente/CITO Ex:Plain
Sebastiaan de Klerk
Affiliation:
University of Twente
Bernard P. Veldkamp
Affiliation:
University of Twente/CITO

Abstract

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Type
Book Review
Copyright
Copyright © 2017 The Psychometric Society

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References

Aguilera, P. A. Fernández, A. Fernández, R. Rumí, R. & Salmerón, A. (2011). Bayesian networks in environmental modelling. Environmental Modelling & Software 26, 13761388CrossRefGoogle Scholar
De Klerk, S. Veldkamp, B. P. Eggen, TJHM (2015). Psychometric analysis of the performance data of simulation-based assessment: A systematic review and a Bayesian network example. Computers & Education 85, 2334CrossRefGoogle Scholar
Lucas, P. (2001). Bayesian networks in medicine: A model-based approach to medical decision making. In Proceedings of the EUNITE Workshop on Intelligent Systems in Patient Care, Vienna, pp. 73–97.Google Scholar
Mislevy, R. J., Almond, R. G., & Lukas, J. (2004). A brief introduction to evidence-centered design. CSE Technical Report. Los Angeles: The National Center for Research on Evaluation, Standards, and Student Testing (CRESST). http://www.cse.ucla.edu/products/reports/r632.pdf.Google Scholar
Mislevy, R. J., Almond, R. G., Yan, D., & Steinberg, L. S. (2000). Bayes nets in educational assessment: Where do the numbers come from? CSE Technical Report, 518.CrossRefGoogle Scholar
Neapolitan, R. E. (2003). Learning Bayesian networks New York, NY: Prentice-HallGoogle Scholar
Pearl, J. (1988). Probabilistic reasoning in intelligent systems: Networks of plausible inference San Francisco, CA: Morgan KaufmannGoogle Scholar
Schneiderman, H. (2004). Learning a restricted Bayesian network for object detection. In Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on IEEE (Vol. 2, pp. II–II).CrossRefGoogle Scholar
Tatsuoka, K. K. (1983). Rule-space: An approach for dealing with misconceptions based on item response theory. Journal of Educational Measurement 20, 3438CrossRefGoogle Scholar