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Wu, Haiyan – ProQuest LLC, 2013
General diagnostic models (GDMs) and Bayesian networks are mathematical frameworks that cover a wide variety of psychometric models. Both extend latent class models, and while GDMs also extend item response theory (IRT) models, Bayesian networks can be parameterized using discretized IRT. The purpose of this study is to examine similarities and…
Descriptors: Comparative Analysis, Bayesian Statistics, Middle School Students, Mathematics
Cousino, Andrew – ProQuest LLC, 2013
The goal of this work is to provide instructors with detailed information about their classes at each assignment during the term. The information is both on an individual level and at the aggregate level. We used the large number of grades, which are available online these days, along with data-mining techniques to build our models. This enabled…
Descriptors: Mathematics Instruction, Algebra, Probability, Mathematical Models
Peer reviewedShaughnessy, J. Michael; Dick, Thomas – Mathematics Teacher, 1991
Included are probability models for various strategies that contestants on the television game show, "Let's-Make-a-Deal," might use when given the option to stick with their original choice of three unopened doors or switch to the unopened door after one of the other two doors has been opened. (JJK)
Descriptors: Bayesian Statistics, Elementary Secondary Education, High Schools, Mathematical Models

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