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Hu, Ming-xiu; Salvucci, Sameena – 2001
Many imputation techniques and imputation software packages have been developed over the years to deal with missing data. Different methods may work well under different circumstances, and it is advisable to conduct a sensitivity analysis when choosing an imputation method for a particular survey. This study reviewed about 30 imputation methods…
Descriptors: Algorithms, Computer Simulation, Data Analysis, Longitudinal Studies
Peer reviewedSrinivasan, V.; Shocker, Allan D. – Psychometrika, 1973
This paper offers a new methodology for analyzing individual differences in preference judgments with regard to a set of stimuli. (Author)
Descriptors: Algorithms, Goodness of Fit, Models, Multidimensional Scaling
Peer reviewedSherzer, Laurence – Arithmetic Teacher, 1974
Descriptors: Algorithms, Elementary School Mathematics, Induction, Instruction
Peer reviewedStrong, Suzanne M. – Journal of the American Society for Information Science, 1974
Describes the development and application of an algorithm that generates non-linear representations of English text. It appears that the representation it produces could be quite useful in automatic language processing. (JB)
Descriptors: Algorithms, Automatic Indexing, Automation, Computational Linguistics
Heller, Bruno – Linguistik und Didaktik, 1973
Descriptors: Algorithms, German, Grammar, Language Instruction
Scandura, Joseph M. – Journal of Structural Learning, 1971
Descriptors: Algorithms, Behavior Patterns, Behavior Theories, Educational Theories
Peer reviewedZweng, Marilyn J. – Arithmetic Teacher, 1972
The role of division of whole numbers in problem solving and the implications for teaching division computation are examined. Deleting the teaching of division facts, and obtaining solutions by using multiplication facts, is advocated. (DT)
Descriptors: Algorithms, Division, Elementary School Mathematics, Instruction
Peer reviewedMaier, Bruce – School Science and Mathematics, 1972
Descriptors: Algorithms, Computer Oriented Programs, Computer Programs, Geometric Concepts
Peer reviewedClason, Robert G. – Mathematics Teacher, 1973
Descriptors: Algorithms, History, Mathematics, Mathematics Education
Peer reviewedHostetler, Robert P. – Journal for Research in Mathematics Education, 1973
Descriptors: Algorithms, Curriculum, Elementary School Mathematics, Instruction
Peer reviewedKessler, Bernard M. – Arithmetic Teacher, 1971
Descriptors: Algorithms, Discovery Learning, Induction, Learning
Peer reviewedHamilton, E. W. – Arithmetic Teacher, 1971
Descriptors: Algorithms, Arithmetic, Elementary School Mathematics, Instruction
Peer reviewedStanic, George M. A. – Arithmetic Teacher, 1983
This response to Usiskin's editorial comment on calculator use in the May 1983 issue considers why arithmetic is taught. The belief that mathematics improves thinking and the humanist position that it is part of our cultural heritage are noted. The role of mathematics in the curriculum should be reconsidered. (MNS)
Descriptors: Algorithms, Arithmetic, Calculators, Editorials
Cardinet, Jean; Allal, Linda – New Directions for Testing and Measurement, 1983
A general framework for conducting generalizability analyses is presented. Generalizability theory is extended to situations in which the objects of measurement are not persons but other factors, such as instructional objectives, stages of learning, and treatments. (Author/PN)
Descriptors: Algorithms, Analysis of Variance, Estimation (Mathematics), Mathematical Formulas
Peer reviewedYannakoudakis, E. J.; Fawthrop, D. – Information Processing and Management, 1983
This paper describes an intelligent spelling error correction system for use in a word processing environment. The system employs a dictionary of 93,769 words and, provided the intended word is in the dictionary, it identifies 80 percent to 90 percent of spelling and typing errors. Nine references are cited. (Author/EJS)
Descriptors: Algorithms, Artificial Intelligence, Computer Programs, Dictionaries


