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Bock, R. Darrell; Aitkin, Murray – Psychometrika, 1981
The practicality of using the EM algorithm for maximum likelihood estimation of item parameters in the marginal distribution is presented. The EM procedure is shown to apply to general item-response models. (Author/JKS)
Descriptors: Algorithms, Factor Analysis, Goodness of Fit, Item Analysis
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McGraw, Kenneth O.; Mallory, Lee H. – Journal of Research in Personality, 1981
Studies how monetary-incentive effects might be mediated by anxiety. College students (N=52) were administered six backward digit trails in a preexperimental, baseline phase and six trials in an experimental, test phase. Results showed the offer of reward did not elevate state anxiety scores and did improve performance. (Author)
Descriptors: Adults, Algorithms, Anxiety, Compensation (Remuneration)
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Journal of Reading, 1982
Reports on a study that found people could follow instructions from flowcharts or lists more quickly and accurately than from prose. (HOD)
Descriptors: Algorithms, Instructional Design, Mathematical Logic, Reading Research
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Zimmerman, Donald W.; Williams, Richard H. – Psychometrika, 1982
Formulas for the standard error of measurement of three measures of change (simple differences; residualized difference scores; and a measure introduced by Tucker, Damarin, and Messick) are derived. A practical guide for determining the relative error of the three measures is developed. (Author/JKS)
Descriptors: Achievement Gains, Algorithms, Differences, Error of Measurement
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Norton, Robert W. – Small Group Behavior, 1979
Maintains that coalitions form as a function of the popularity of an individual and the reciprocation between individuals. An algorithm is introduced, incorporating both popularity and reciprocation components, to generate units of analysis for coalition identification. The algorithm reflects aspects of the whole group and intensity of dyads.…
Descriptors: Algorithms, Group Behavior, Group Dynamics, Interaction Process Analysis
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Bell, C. L. M.; Jones, K. P. – Information Processing and Management, 1980
Explains, with supporting figures and flowcharts of programing logic, two search strategies introduced to the MORPHS System since 1976: one that employs the normal Boolean operators in strings without bracketing or in the form of marked steps, and one that treats a string of keywords as a compound word. (Author/JD)
Descriptors: Algorithms, Flow Charts, Information Retrieval, Minicomputers
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Clarkson, D. B.; Jennrich, R. I. – Psychometrika, 1980
A jackknife-like procedure is developed for producing standard errors of estimate in maximum likelihood factor analysis. Unlike earlier methods based on information theory, the procedure developed is computationally feasible on larger problems. Examples are given to demonstrate the feasibility of the method. (Author/JKS)
Descriptors: Algorithms, Data Analysis, Error of Measurement, Factor Analysis
Braun, Peter – Journal of Computer-Based Instruction, 1976
Teaching methods which emphasize understanding and insight can be effectively supported and expanded by using A Programming Language (APL) as a notation for both writing the algorithms of a discipline and then exploring the behavior of these algorithms by computer. (Author/LS)
Descriptors: Algorithms, Behavioral Objectives, Computer Oriented Programs, Programing Languages
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Baffes, Paul; Mooney, Raymond – Journal of Artificial Intelligence in Education, 1996
Discussion of student modeling and intelligent tutoring systems focuses on the development of the ASSERT algorithm (Acquiring Stereotypical Student Errors by Refining Theories). Topics include overlay modeling; bug libraries (databases of student misconceptions); dynamic modeling; refinement-based modeling; and experimental results from tests at…
Descriptors: Algorithms, Databases, Error Correction, Higher Education
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Miyamoto, Sadaaki – Information Processing & Management, 2003
Proposes a fuzzy multiset model for information clustering with application to information retrieval on the World Wide Web. Highlights include search engines; term clustering; document clustering; algorithms for calculating cluster centers; theoretical properties concerning clustering algorithms; and examples to show how the algorithms work.…
Descriptors: Algorithms, Information Retrieval, Mathematical Formulas, Models
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Datta, Anindya; Viguier, Igor R. – Information Systems, 1997
In environments where the state of the system changes rapidly, such as stock trading, air traffic control, network management, and process control, databases have been proposed as the platform to develop automated control systems. Information in such systems consists of "updates," reporting on the state of the environment and…
Descriptors: Air Traffic Control, Algorithms, Automation, Database Management Systems
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Pinchback, C. L.; Tomer, Damber S. – Mathematics Teacher, 2002
Discusses an algorithm from Vedic mathematics that has similarities to FOIL and the standard algorithm for multiplication. (Author/NB)
Descriptors: Algorithms, Computation, Mathematical Applications, Mathematics Education
Mtetwa, David; Garofalo, Joe – Academic Therapy, 1989
The article identifies five incorrect beliefs about mathematics often held by students who have difficulty with mathematics. They include: the relative size of numbers is more important than the relationships between quantities; computation problems must be solved by using a step-by-step algorithm; mathematics problems have only one correct…
Descriptors: Algorithms, Arithmetic, Beliefs, Computation
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Sharma, Ravi – Information Processing and Management, 1989
Introduces two distribution schemes that partition documents over multiple processors and the corresponding multiprocessor retrieval algorithms that match relevant documents to user queries. The suggested framework is based on a general purpose hypercube multicomputer architecture with a dedicated disk for each node. A timing analysis for the…
Descriptors: Algorithms, Cost Effectiveness, Efficiency, Information Retrieval
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Hjerppe, Roland; Olander, Birgitta – Journal of the American Society for Information Science, 1989
Describes a project that developed two expert systems for library cataloging using the second edition of the Anglo American Cataloging Rules (AACR2) as a knowledge base. The discussion covers cataloging as interpretation, the structure of AACR2, and the feasibility of using expert systems for cataloging in traditional library settings. (26…
Descriptors: Algorithms, Cataloging, Expert Systems, Library Automation
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