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Waheed, Olowa Olatomide – Electronic Journal of Research in Educational Psychology, 2009
Introduction: Increasing Awareness of the importance of vocational agricultural education has driven various regimes in government and Educators to embark on several review of agricultural curriculum at both secondary and tertiary institutions and as well provided policies and incentives towards motivating young ones to study and take agriculture…
Descriptors: Agricultural Education, Predictor Variables, Program Effectiveness, Foreign Countries
Fan, Xitao; Wang, Lin – 1998
The Monte Carlo study compared the performance of predictive discriminant analysis (PDA) and that of logistic regression (LR) for the two-group classification problem. Prior probabilities were used for classification, but the cost of misclassification was assumed to be equal. The study used a fully crossed three-factor experimental design (with…
Descriptors: Classification, Comparative Analysis, Monte Carlo Methods, Probability
Peer reviewedHofmann, Richard J. – Educational and Psychological Measurement, 1975
A new item analysis index, e, is derived as a function of difficulty and discrimination to represent item efficiency. (Author/RC)
Descriptors: Item Analysis, Probability, Response Style (Tests), Statistical Analysis
Peer reviewedZinnes, Joseph L.; Griggs, Richard A. – Psychometrika, 1974
Probabilistic assumptions are added to single and multidimensional versions of the Coombs unfolding model for preferential choice (Coombs, 1950) and practical ways of obtaining maximum likelihood estimates of the scale parameters and goodness-of-fit tests of the model are presented. A Monte Carlo experiment is discussed. (Author/RC)
Descriptors: Goodness of Fit, Multidimensional Scaling, Probability, Statistical Analysis
Lad, F. R.; And Others – 1987
B. De Finetti's "Fundamental Theorem of Probability" is reformulated as a computable linear programming problem. The theorem is substantially extended, and shown to have fundamental implications for the theory and practice of statistics. It supports an operational meaning for the partial assertion of prevision via asserted bounds. The…
Descriptors: Linear Programing, Mathematical Models, Probability, Statistical Analysis
Peer reviewedHenschke, Claudia I.; And Others – Multivariate Behavioral Research, 1974
The technique presented accomodates multiple populations and a mixture of variable types. It is based on the linear discriminant function and the sequential concept. Also presented is an example in which the technique is used to obtain the classification rule to predict the career choices of individuals based upon a mixture of variable types.…
Descriptors: Classification, Measurement Techniques, Predictor Variables, Probability
Peer reviewedHeine, M. H. – Journal of the American Society for Information Science, 1974
Swets' theory of information retrieval allows the threads of document weighting formulae, probabilistic measures of effectiveness, and management theory, to be woven into a coherent pattern. Benefits are: the beginnings of a quantitative description of retrieval languages; destinction between retrieval systems and language; and question generality…
Descriptors: Documentation, Information Retrieval, Mathematical Models, Probability
Peer reviewedGebhardt, Friedrich – Information Processing and Management, 1975
The model assumes that the relevance assigned to a document by a juror is a random variable. (PF)
Descriptors: Information Retrieval, Mathematical Models, Probability, Relevance (Information Retrieval)
Peer reviewedBraver, Sanford L. – Educational and Psychological Measurement, 1975
The controversy regarding the admissibility of one-tailed tests of hypotheses was examined. Rather than taking a stand with regard to whether the one-or the two-tailed test is the most seriously flawed, a procedure is developed which can capitalize on the advantages of each. (RC)
Descriptors: Comparative Analysis, Hypothesis Testing, Prediction, Probability
Humphries, Joanna M.; Stabler, John R. – J Genet Psychol, 1969
Based on a PhD dissertation (Humphries) submitted to the Louisiana State University.
Descriptors: Children, Learning Motivation, Prediction, Probability
Hendrick, Clyde – Percept Mot Skills, 1969
Descriptors: Attitudes, College Students, Personality Theories, Probability
Seabrook, Richard H. C. – 1980
Understanding of the communications process centers generally around the conduct of the process rather than the content, and particularly the establishment of communication channels. The communications model has three generally agreed upon components: source, channel, and destination. Destination may include questions about the nature of things,…
Descriptors: Communications, Information Retrieval, Information Theory, Models
Davis, R. – 1969
These materials were written with the aim of reflecting the thinking of the Cambridge Conference on School Mathematics (CCSM) regarding the goals and objectives for school mathematics. They represent a practical response to a proposal by CCSM that some elements of probability be introduced in the elementary grades. These materials provide children…
Descriptors: Elementary School Mathematics, Instruction, Instructional Materials, Mathematics
Kohr, Richard L.; Games, Paul A. – 1974
An empirical sampling study investigated six procedures for testing differences between means in the presence of unequal n's and variances. Support was obtained for previous research which found t robust to heterogeneous variances only when n's are equal and of moderate size. The procedure which emerged as providing the best control over Type I…
Descriptors: Hypothesis Testing, Probability, Sampling, Statistical Analysis
Helmer, Olaf – 1971
The design of a series of planning games is outlined. The purpose of the games is to convey an appreciation of the variety of possible futures and to indicate both how the occurrence of some events may affect the probability of occurrence of others and how much of a role chance may play, as opposed to deliberate intervention by the players, in…
Descriptors: Educational Games, Games, Planning, Probability

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