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Krus, David J.; Liang, Kun-Hsia T. – Educational and Psychological Measurement, 1984
An algorithm for estimation of means and standard deviations or raw scores underlying table values of standard test scores is presented. An application of a computer program, operationalizing the suggested algorithm, is discussed within the framework of a comparison of estimated and known table values for sample Minnesota Multiphasic Personality…
Descriptors: Algorithms, Estimation (Mathematics), Scores, Standardized Tests
Case, Jennifer; Gunstone, Richard; Lewis, Alison – 2000
Previous findings from the study within which this research is located had uncovered students' approaches to learning in the context of a second year chemical engineering course. Using an analysis of students' reflections on their experience, the study has shown the existence of three approaches to learning in this context: an 'information-based'…
Descriptors: Algorithms, Chemistry, Engineering Education, Higher Education
Finch, Holmes; Huynh, Huynh – 2000
One set of approaches to the problem of clustering with dichotomous data in cluster analysis (CA) was studied. The techniques developed for clustering with binary data involve calculating distances between observations based on the variables and then applying one of the standard CA algorithms to these distances. One of the groups of distances that…
Descriptors: Algorithms, Cluster Analysis, Monte Carlo Methods, Responses
Veldkamp, Bernard P. – 2000
A mathematical programming approach is presented for computer adaptive testing (CAT) with many constraints on the item and test attributes. Because mathematical programming problems have to be solved while the examinee waits for the next item, a fast implementation of the Branch-and-Bound algorithm is needed for this approach. Eight modifications…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Test Construction
Peer reviewed Peer reviewed
Palagi, George H. – Mathematics Teacher, 1973
Descriptors: Algebra, Algorithms, Instruction, Mathematics Education
Borillo, A.; And Others – Information Storage and Retrieval, 1973
An English summary is provided for the article which gives the opportunity to solve original problems in linguistics, mathematics and computing science as well as to design descriptive and typological methods in archaeology. (6 references) (Author/SJ)
Descriptors: Algorithms, Archaeology, Computer Science, Information Processing
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Kundell, Frederick A. – College and University, 1973
Descriptors: Algorithms, Computer Programs, Computers, Higher Education
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Rogosinski, H. P. – Mathematical Spectrum, 1972
A brief history of the development of our present day Gregorian calendar is given. Methods are then given, based on congruences, to determine such things as the week-day for any given date and the date for Easter in any year. (LS)
Descriptors: Algorithms, Congruence, Enrichment Activities, Mathematical Applications
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Johnson, Paul B. – Arithmetic Teacher, 1972
Descriptors: Algorithms, Elementary School Mathematics, Instruction, Mathematical Enrichment
Robin, Anthony C. – Mathematics Teaching, 1972
Descriptors: Algebra, Algorithms, Calculus, Manipulative Materials
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Hatcher, Robert S. – Mathematics Teacher, 1973
Descriptors: Algorithms, Computation, Instruction, Mathematics
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Holmes, P. – Mathematics in School, 1973
Four algorithms for subtraction are described: borrow and pay back,'' equal additiions, shopkeepers' subtraction,'' and decomposition. (DT)
Descriptors: Algorithms, Elementary School Mathematics, Instruction, Mathematics Education
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Wahlstom, M. W.; Hunka, S. M. – Journal of Experimental Education, 1972
An algorithm, based upon factor analytic theory, is presented to illustrate one solution to the problem of selecting items for a test. (Authors)
Descriptors: Algorithms, Criteria, Factor Analysis, Item Analysis
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King, Irv – Arithmetic Teacher, 1972
Descriptors: Addition, Algorithms, Arithmetic, Elementary School Mathematics
Peer reviewed Peer reviewed
Goldberger, Arthur S.; Joreskog, Karl G. – Psychometrika, 1972
Descriptors: Algorithms, Factor Analysis, Least Squares Statistics, Mathematical Models
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