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Keselman, H. J. – Educational and Psychological Measurement, 1976
Investigates the Tukey statistic for the empirical probability of a Type II error under numerous parametric specifications defined by Cohen (1969) as being representative of behavioral research data. For unequal numbers of observations per treatment group and for unequal population variancies, the Tukey test was simulated when sampling from a…
Descriptors: Analysis of Variance, Hypothesis Testing, Power (Statistics), Probability

Woodward, J. Arthur; Overall, John E. – Educational and Psychological Measurement, 1976
Describes a computer program for calculating the power of the F-test. Approach is based upon two independent approximations-- a normalization of the non-central F distribution and an integration of the normal distribution. Comparison of the calculated values of power with exact values revealed a high degree of accuracy. (Author/RC)
Descriptors: Analysis of Variance, Computer Programs, Power (Statistics), Probability

Yates, J. Frank; Zukowski, Lisa G. – Behavioral Science, 1976
Describes a psychology experiment that investigated the effect of ambiguity on human decision-making behavior. (Available from Behavioral Science, University of Louisville, P.O. Box 1055, Louisville, KY 40201; $3.50 single copy.) (JG)
Descriptors: Ambiguity, Decision Making, Experimental Psychology, Game Theory

Honsberger, Ross A. – Two-Year College Mathematics Journal, 1979
Two mathematical brainteasers, with solutions depending on involved trial-and-error processes, are shown to have ingenious solutions. (MP)
Descriptors: College Mathematics, Graphs, Higher Education, Mathematics

Kreith, Kurt – International Journal of Mathematical Education in Science and Technology, 1976
The application of mathematics, especially probability theory to law and social decision theory, is discussed. (SD)
Descriptors: Decision Making, Higher Education, Laws, Mathematical Applications

Neuhaus, Georg – Journal of Multivariate Analysis, 1976
The asymptotic power of the Cramer-von Mises test when parameters are estimated from the data is studied under certain local (contiguous) alternatives. Notion of (asymptotic) direction and distance from the null hypothesis of alternatives is introduced, and it is shown that there exist directions with maximum, minimum, and arbitrary intermediate…
Descriptors: Goodness of Fit, Hypothesis Testing, Nonparametric Statistics, Probability

Burnam, M. Audrey; Koegel, Paul – Evaluation Review, 1988
Drawing a probability sample of homeless adults in Los Angeles' Skid Row resulted in a sampling design meeting statistical criteria. The design uses data from meal centers, bed counts, and outdoor congregations; and allows unbiased estimates of prevalence of mental disorders and assessment of service needs of the homeless. (TJH)
Descriptors: Estimation (Mathematics), Homeless People, Inner City, Probability
Burns, Marilyn – Instructor, 1988
Simple, classroom-tested probability activities that capture students' interest, develop critical thinking skills, and reinforce addition facts are suggested. All activities involve investigating the probabilities of the sums that come up when two dice are tossed. (MT)
Descriptors: Elementary Education, Elementary School Mathematics, Manipulative Materials, Mathematical Concepts

Tversky, Amos; Kahneman, Daniel – Psychological Review, 1983
Judgments under uncertainty are often mediated by intuitive heuristics that are not bound by the conjunction rule of probability. Representativeness and availability heuristics can make a conjunction appear more probable than one of its constituents. Alternative interpretations of this conjunction fallacy are discussed and attempts to combat it…
Descriptors: Cognitive Processes, Error Patterns, Evaluative Thinking, Heuristics

Markel, William D. – School Science and Mathematics, 1985
The concept of statistical significance is explained, with specific numerical illustrations. (MNS)
Descriptors: Educational Research, Mathematical Concepts, Probability, Research Methodology

Pao, Miranda Lee; McCreery, Laurie – Information Processing and Management, 1986
A rudimentary description of Markov Chains is presented in order to introduce its use to describe and to predict authors' movements among subareas of the discipline of ethnomusicology. Other possible applications are suggested. (Author)
Descriptors: Authors, Models, Predictive Measurement, Probability

Harrison, J. Richard; March, James G. – Administrative Science Quarterly, 1984
Making use of statistical analytical methods, the authors examine the systematic tendency toward disappointment that results from decision making generally and argue that such disappointment is built in structurally to the process of decision making itself. (Author/JBM)
Descriptors: Decision Making, Norms, Probability, Regression (Statistics)

Mulaik, Stanley A. – Psychometrika, 1976
Discusses Guttman's index of indeterminacy in light of alternative solutions which are equally likely to be correct and alternative solutions for the factor which are not equally likely to be chosen. Offers index which measures a different aspect of the same indeterminacy problem. (ROF)
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices
Yu, Chong Ho – 2002
This paper asserts that causality is an intriguing but controversial topic in philosophy, statistics, and educational and psychological research. By supporting the Causal Markov Condition and the faithfulness condition, Clark Glymour attempted to draw causal inferences from structural equation modeling. According to Glymour, in order to make…
Descriptors: Causal Models, Markov Processes, Probability, Statistical Inference
van der Linden, Wim J.; Vos, Hans J.; Chang, Lei – 2000
In judgmental standard setting experiments, it may be difficult to specify subjective probabilities that adequately take the properties of the items into account. As a result, these probabilities are not consistent with each other in the sense that they do not refer to the same borderline level of performance. Methods to check standard setting…
Descriptors: Interrater Reliability, Judges, Probability, Standard Setting