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Peer reviewedPowell, Jay C. – Guidance & Counselling, 1992
This commentary praises the clustering technique of data gathering from clients described by Carney (1992). It also cautions that analyzing qualitative data by quantitative means must be done with care, so that a matrix analysis and resulting interpretation of data gathered through the clustering technique, as Carney suggests, is valid and…
Descriptors: Counseling Techniques, Data Analysis, Matrices, Probability
Peer reviewedScheiblechner, Hartmann – Psychometrika, 1995
The isotonic ordinal probabilistic model (ISOP) is introduced as a common nonparametric theoretical structure for unidimensional models for quantitative, ordinal, and dichotomous variables. Fundamental theorems on dichotomous and polytomous weakly independent ordered systems are derived, and testing at the observed empirical level is discussed.…
Descriptors: Equations (Mathematics), Nonparametric Statistics, Probability, Raw Scores
Peer reviewedMelucci, Massimo – Information Retrieval, 1999
Assesses the retrieval effectiveness of automatically constructed interdocument hypertext links in information retrieval (IR). Describes experiments using statistical and probabilistic techniques that were designed to obtain evidence concerning the usefulness of querying and browsing automatically constructed IR hypertexts. Results indicate a…
Descriptors: Automatic Indexing, Hypermedia, Information Retrieval, Probability
Peer reviewedFletcher, M. – Teaching Mathematics and Its Applications, 1999
Describes how bookmakers calculate the betting odds on each of the horses in a race. Explains how the theory of probability is related to oddsmaking. (Author/WRM)
Descriptors: Higher Education, Horses, Mathematical Concepts, Mathematics Instruction
Peer reviewedMay, E. Lee Jr. – Primus, 2000
Consists of a collection of observations about the teaching of the first course in elementary probability and statistics offered by many colleges and universities. Highlights the Goldberg Method for solving problems in probability and statistics. (Author/ASK)
Descriptors: Course Descriptions, Higher Education, Mathematics Instruction, Probability
Chao, Faith; Davis, James – Syllabus, 2000
Discusses the use of Microsoft Excel software and provides examples of its use in an online statistics course at Golden Gate University in the areas of randomness and probability, sampling distributions, confidence intervals, and regression analysis. (LRW)
Descriptors: Computer Assisted Instruction, Courseware, Online Courses, Probability
Peer reviewedBorg, Jeff – Australian Mathematics Teacher, 1998
Shares experiences of teaching probability from a constructivist perspective. Discusses the role of cognitive conflict, teaching the unit, and evaluation processes. (ASK)
Descriptors: Constructivism (Learning), Elementary Secondary Education, Mathematics Instruction, Probability
Peer reviewedQuinn, Robert J. – Australian Mathematics Teacher, 2000
Presents a probability activity addressing students' misconceptions regarding the Law of Large Numbers. Provides students with better conceptual understanding of the Law of Large Numbers. (ASK)
Descriptors: Elementary Secondary Education, Mathematics Activities, Mathematics Instruction, Number Concepts
Peer reviewedKellow, J. Thomas – American Journal of Evaluation, 1998
Many evaluation students are still being taught the use of tests of statistical significance without being warned about their limitations. This paper discusses other estimates of treatment effects necessary to interpret between-group differences correctly. Sources to improve evaluation practice are also suggested. (SLD)
Descriptors: Estimation (Mathematics), Evaluation Utilization, Groups, Probability
Peer reviewedKarabatsos, George – Journal of Outcome Measurement, 1998
A Rasch method is proposed to measure variables of nonadditive conjoint structures, where dichotomous response conditions are evaluated. In this framework, both the number of endorsed items and their latent positions are considered. The four steps of the method are explained and illustrated with simulated person responses. (SLD)
Descriptors: Item Response Theory, Probability, Research Methodology, Responses
Peer reviewedGreer, Brian – Educational Studies in Mathematics, 2001
Honors the contribution of Efraim Fischbein to the study and analysis of probabilistic thinking. Summarizes Fischbein's early work, then focuses on the role of intuition in mathematical and scientific thinking; the development of probabilistic thinking; and the influence of instruction on that development. (Author/MM)
Descriptors: Cognitive Processes, Elementary Secondary Education, Mathematics Education, Probability
Brahier, Daniel J. – Illinois Mathematics Teacher, 1998
Provides background information on genetics and presents a mathematics activity that uses genetics to study probability. (ASK)
Descriptors: Elementary Secondary Education, Genetics, Integrated Activities, Mathematics Instruction
Kopp, Jaine – Illinois Mathematics Teacher, 1999
Describes an activity that springs from the classic fable, The Tortoise and the Hare. Presents a game in which students simulate the race and use a die to move the animals in position. (CCM)
Descriptors: Educational Games, Elementary Education, Mathematics Education, Probability
Peer reviewedRobson, Thomas – Reports of the National Center for Science Education, 2000
Anti-evolutionists are fond of presenting their audiences with numbers of dizzying magnitude that they use to represent incredibly low probabilities for such events as the chance formation of a protein molecule or the origin of life by invoking beloved mathematical law by Borel. Presents an illustration to reveal what Borel really meant. (ASK)
Descriptors: Creationism, Elementary Secondary Education, Evolution, Mathematical Concepts
Peer reviewedBailey, David H. – Reports of the National Center for Science Education, 2000
Some of the most impressive-sounding criticisms of the conventional theory of biological evolution involve probability. Presents a few examples of how probability should and should not be used in discussing evolution. (ASK)
Descriptors: Creationism, Elementary Secondary Education, Evolution, Mathematical Concepts


