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Can I read Bayesian Networks in Educational Assessment (Statistics for Social and Behavioral Sciences) on EtoBox?
Bayesian Networks in Educational Assessment (Statistics for Social and Behavioral Sciences) by Russell G. Almond, Robert J. Mislevy, Linda S. Steinberg, Duanli Yan, David M. Williamson (auth.) is a nonfiction available to read on EtoBox.
What is Bayesian Networks in Educational Assessment (Statistics for Social and Behavioral Sciences) about?
Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments. Part I develops Bayes netsℓ́ℓ foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking techniques, and estimation with the EM algorithm and Markov chain Monte Carlo (MCMC). A unique feature is the volumeℓ́ℓs grounding in Evidence-Centered Design (ECD) framework for assessment design. This ℓ́ℓdesign forwardℓ́ℓ approach enables designers to take full advantage of Bayes netsℓ́ℓ modularity and ability to model complex evidentiary relationships that arise from performance in interactive, technology-rich assessments such as simulations. Part III describes ECD, situates Bayes nets as an integral component of a principled design process, and illustrates the ideas with an in-depth look at the BioMass project: An interactive, standards-based, web-delivered dem
Who reads Bayesian Networks in Educational Assessment (Statistics for Social and Behavioral Sciences)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Russell G. Almond, Robert J. Mislevy, Linda S. Steinberg, Duanli Yan, David M. Williamson (auth.)
- Publisher
- Springer-Verlag New York
- Published
- 2015
- Language
- EN
- ISBN
- 9781493921256
- Category
- nonfiction
- Subjects
- Science, Mathematics, Sociology
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