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Novick, Melvin R. – 1971
An interactive computer-based system for assisting investigators in the use of Bayesian analysis using the two parameter normal model is described. An important feature of this program is that it interacts with the investigator in the English language; he need not be familiar with computer languages or with the internal workings of the computer.…
Descriptors: Bayesian Statistics, Computer Oriented Programs, Data Analysis, Interaction
Peer reviewed Peer reviewed
Chen, James J.; Novick, Melvin, R. – Journal of Educational Statistics, 1984
The Libby-Novick class of three-parameter generalized beta distributions is shown to provide a rich class of prior distributions for the binomial model that removes some restrictions of the standard beta class. A numerical example indicates the desirability of using these wider classes of densities for binomial models. (Author/BW)
Descriptors: Bayesian Statistics, Computer Oriented Programs, Generalization, Goodness of Fit
Peer reviewed Peer reviewed
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Wang, Xiaohui; Bradlow, Eric T.; Wainer, Howard – ETS Research Report Series, 2005
SCORIGHT is a very general computer program for scoring tests. It models tests that are made up of dichotomously or polytomously rated items or any kind of combination of the two through the use of a generalized item response theory (IRT) formulation. The items can be presented independently or grouped into clumps of allied items (testlets) or in…
Descriptors: Computer Assisted Testing, Statistical Analysis, Test Items, Bayesian Statistics
Novick, Melvin R. – 1973
This project is concerned with the development and implementation of some new statistical techniques that will facilitate a continuing input of information about the student to the instructional manager so that individualization of instruction can be managed effectively. The source of this informational input is typically a short…
Descriptors: Bayesian Statistics, Computer Oriented Programs, Computer Programs, Criterion Referenced Tests
Tennyson, Robert – 1978
Presented are variables and conditions for design of a computer-based adaptive instructional system. The design strategy uses Bayes' theory of conditional probability to determine an instructional sequence according to individual student characteristics and needs. The adaptive strategy uses prior estimates based on student pretask and on-task…
Descriptors: Aptitude Treatment Interaction, Bayesian Statistics, Computer Assisted Instruction, Computer Managed Instruction
Clark, Cynthia L., Ed. – 1976
The principal objectives of this conference were to exchange information, discuss theoretical and empirical developments, and to coordinate research efforts. The papers and their authors are: "The Graded Response Model of Latent Trait Theory and Tailored Testing" by Fumiko Samejima; (Incomplete Orders and Computerized Testing" by…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Branching