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Peer reviewedZimmerman, Donald W. – Psychological Reports, 1971
Descriptors: Error of Measurement, Mathematical Concepts, Measurement, Models
Peer reviewedKeller, Harold R. – Journal of Experimental Child Psychology, 1971
Descriptors: Behavior Patterns, Elementary School Students, Extinction (Psychology), Learning
Peer reviewedHansen, Richard – Journal of Educational Measurement, 1971
The relationship between certain personality variables and the degree to which examines display certainty in their responses was investigated. (Author)
Descriptors: Guessing (Tests), Individual Characteristics, Multiple Choice Tests, Personality Assessment
Martin, David W.; Gettys, Charles F. – J Appl Psychol, 1969
Descriptors: Bayesian Statistics, Behavioral Science Research, College Students, Decision Making
Peer reviewedRoss, Steven M. – Journal of Educational Psychology, 1983
The focus of the present experiments was to examine the effect of adapting the context of a presentation to a student's background. The results showed familiarity of context to be an influential factor in learning quantitative material. (Author/PN)
Descriptors: Context Effect, Higher Education, Individual Differences, Learning Strategies
Peer reviewedSchroeder, Thomas L. – Arithmetic Teacher, 1983
"Capture" is a game that requires players to perform several computations on each turn and to choose an optimal move, thus promoting higher-order thinking and probability notions. Rules are given, playing is described, and extension activities are noted. (MNS)
Descriptors: Cognitive Processes, Computation, Educational Games, Elementary Education
Peer reviewedGinther, John L.; Ewbank, William A. – Mathematics Teacher, 1982
The problem deals with calculating the probability that two or more students in a given class have the same birthday. A sample of an experiment that can be carried out by hand in a class is first noted. A program written in BASIC and a sample run is then presented. (MP)
Descriptors: Computer Programs, Mathematical Applications, Mathematical Enrichment, Mathematics Instruction
Peer reviewedWheeler, Kenneth G.; Mahoney, Thomas A. – Journal of Vocational Behavior, 1981
Explored differences between factors related to occupational preference and occupational choice for college students. Results supported the model indicating occupational preference was primarily a function of pure attraction; occupational choice was a function of attraction, expectancy of attaining an occupation, and consideration of expected…
Descriptors: Career Choice, College Students, Cost Effectiveness, Expectation
Peer reviewedCollis, Betty – Mathematics Teacher, 1982
Details of an 18-lesson unit of instruction that has been used successfully with eighth-, ninth-, and tenth-grade classes are presented. Each lesson centers around individual computer programs written in Applesoft BASIC. Copies of two programs are provided, and ways to acquire the other 16 are noted. (MP)
Descriptors: Computer Programs, Mathematical Enrichment, Mathematics Instruction, Microcomputers
Lowry, Pat G. – Creative Computing, 1981
A program designed to calculate pi using a Monte Carlo simulation based on "throwing darts" at a quarter circle of unit radius inscribed in a unit square is presented. (MP)
Descriptors: Computer Programs, Computer Science Education, Geometric Concepts, Instructional Materials
Peer reviewedGreen, D. R. – Mathematics in School, 1981
The history of probability from ancient times is presented. The relationship between the mathematical and experimental definitions of probability are detailed. (MP)
Descriptors: Elementary Secondary Education, Higher Education, Mathematical Applications, Mathematical Concepts
Peer reviewedWilson, Thomas P. – Sociological Methods and Research, 1979
A recent recommendation by Holt (EJ 200 576) that coefficients resulting from estimating log-linear and similar models should not be interpreted is argued to be based on lack of clarity about the substantive and theoretical importance of the choice between dummy and effect coding for categorical variables. (Author/GDC)
Descriptors: Expectancy Tables, Goodness of Fit, Mathematical Models, Probability
Peer reviewedvan Rijsbergen, C. J.; And Others – Information Processing and Management, 1981
Describes the use of relevance feedback to select additional search terms and discusses the extraction of these terms from a maximum spanning tree connecting all terms in the index term vocabulary; retrieval effectiveness for different spanning trees is shown to be similar. Eight references are included. (Author/BK)
Descriptors: Cluster Grouping, Feedback, Information Retrieval, Mathematical Formulas
Peer reviewedRichbart, Lynn A. – Mathematics Teacher, 1981
The probability and statistics portion of an optional comprehensive mathematics sequence offered at the secondary level in New York public schools is presented. (MP)
Descriptors: Curriculum Development, Mathematics Curriculum, Mathematics Instruction, Probability
Peer reviewedWinefield, A. H.; Mullins, G. P. – Journal of Genetic Psychology, 1980
Examines the relationship between probability learning and aging by studying the performance of 48 young and 48 old adults in a probability learning task which used different reinforcement procedures and material rewards. (CM)
Descriptors: Adults, Age Differences, Learning Readiness, Older Adults


