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Haberman, Shelby J. – ETS Research Report Series, 2004
Criteria for prediction of multinomial responses are examined in terms of estimation bias. Logarithmic penalty and least squares are quite similar in behavior but quite different from maximum probability. The differences ultimately reflect deficiencies in the behavior of the criterion of maximum probability.
Descriptors: Probability, Prediction, Classification, Computation

Brandenburg, Dale C.; Forsyth, Robert A. – Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Goodness of Fit, Item Sampling, Models
Gibbons, Robert D.; And Others – 1990
The probability integral of the multivariate normal distribution (ND) has received considerable attention since W. F. Sheppard's (1900) and K. Pearson's (1901) seminal work on the bivariate ND. This paper evaluates the formula that represents the "n x n" correlation matrix of the "chi(sub i)" and the standardized multivariate…
Descriptors: Algorithms, Equations (Mathematics), Estimation (Mathematics), Generalizability Theory
Berry, Donald A. – 1989
The use of a Bayesian approach in evaluating data from clinical trials with many treatment centers and from many studies is discussed. The main distinction between a metaanalysis and an analysis of a multicenter trial is that different studies may have very different designs, while the centers in a multicenter trial usually follow the same…
Descriptors: Bayesian Statistics, Drug Use, Mathematical Models, Meta Analysis
Love, Gloria C. – 1988
The probability of experiment-wise error is explored. Overall, the experiment-wise error rate is directly related to the test-wise error rate--the alpha level set by researchers to curtail the existence of a Type I error. A Type I error occurs when a true null hypothesis is rejected in a given study or experiment. The experiment-wise error rate is…
Descriptors: Data Analysis, Error Patterns, Estimation (Mathematics), Experiments
McConnell, Susan – 1981
In an attempt to accommodate each of two perspectives (nature versus nurture) in the formulation of a developmental framework, two complementary approaches to developmental theory are presented. First, consideration is given to what is now known about the developmental process in general (thought out in terms of the question "Where is the…
Descriptors: Biological Influences, Environmental Influences, Genetics, Individual Development
Barzilay, Amos; Pople, Harry E., Jr. – 1984
SPIRIT is an Intelligent Tutoring System for tutoring probability theory which has evolved through a continuous process of experimentation and tuning. The system manages a unique flexible tutoring style. On one hand, the system may behave as a tutor who mostly observes the student without interference, intervening only when things are really going…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Courseware, Feedback

McGraw, Kenneth O.; McCullers, John C. – Journal of Experimental Child Psychology, 1974
To determine whether the distraction effect associated with material rewards in discrimination learning can account for the superior performance of reward groups in probability learning, the performance of 144 school children (preschool, second, and fifth grades) on a two-choice successive discrimination task was compared under three reinforcement…
Descriptors: Age Differences, Discrimination Learning, Elementary School Students, Motivation
Blakeslee, David W.; And Others – 1966
This teacher's guide provides background information, lists of needed equipment, suggestions for instruction, and answers to student exercises. The unit is designed for elementary school students as a supplement to other SMSG volumes; it can, however, be used in any program. It is designed to make mathematics enjoyable, promote systematic…
Descriptors: Arithmetic, Elementary Education, Elementary School Mathematics, Intermediate Grades

Fischoff, Baruch – Journal of Experimental Psychology: Human Perception and Performance, 1975
The studies reported here asked: (a) How does receipt of outcome knowledge affect judgment? (b) How aware are people of the effects that outcome knowledge has on their perceptions? Answers to these questions will shed light on how people do learn and might better learn from history. (Author/RK)
Descriptors: Decision Making, Experimental Psychology, Perception, Probability

Lewis, Charles; And Others – Psychometrika, 1975
A Bayesian Model II approach to the estimation of proportions in m groups is extended to obtain posterior marginal distributions for the proportions. The approach is extended to allow greater use of prior information than previously and the specification of this prior information is discussed. (Author/RC)
Descriptors: Bayesian Statistics, Data Analysis, Individualized Instruction, Models

Brown, Eric R.; Bane, Alice L. – Journal of Experimental Psychology: Human Perception and Performance, 1975
In two experiments the probabilistic properties of an internal (skill) task were simulated in an external (chance) task. (Editor)
Descriptors: Experimental Psychology, Flow Charts, Probability, Psychological Studies

Hamdan, M. A.; And Others – Psychometrika, 1975
Four different extensions to McNemar's problem concerning the hypothesis of equal probabilities for the unlike pairs of correlated binary variables are considered, each for testing simultaneous equality of proportions of unlike pairs in c independent populations of correlated binary variables, but each under different assumptions and/or additional…
Descriptors: Comparative Analysis, Criteria, Goodness of Fit, Hypothesis Testing

Bailey, William T. – Math Teacher, 1969
Descriptors: Algebra, Mathematical Concepts, Mathematics, Probability
Douglass, Harl R. – J Exp Educ, 1969
Descriptors: Analysis of Variance, Hypothesis Testing, Probability, Reliability