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Marion, Russ; Richardson, Michael D. – 1991
Chaos theory describes the way systems change over time. It proposes that systems governed by physical laws can undergo transitions to a highly irregular form of behavior and that although chaotic behavior appears random, it is governed by strict mathematical conditions. This paper applies chaos theory to administrative and organizational issues.…
Descriptors: Chaos Theory, Information Theory, Mathematical Models, Organizational Theories
Algina, James; And Others – 1993
Type I error rates were estimated for three tests that compare means by using data from two independent samples: the independent samples t test, Welch's approximate degrees of freedom test, and James's second order test. Type I error rates were estimated for skewed distributions, equal and unequal variances, equal and unequal sample sizes, and a…
Descriptors: Comparative Analysis, Equations (Mathematics), Estimation (Mathematics), Mathematical Models
Rowell, R. Kevin – 1991
In multiple regression analysis, where resulting predictive equation effectiveness is subject to shrinkage, it is especially important to evaluate result replicability. Double cross-validation is an empirical method by which an estimate of invariance or stability can be obtained from research data. A procedure for double cross-validation is…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Heuristics, Mathematical Models
Peer reviewed Peer reviewed
Schulman, Robert S.; Haden, Richard L. – Psychometrika, 1975
A model is proposed for the description of ordinal test scores based on the definition of true score as expected rank; its deviations are compared with results from classical test theory. An unbiased estimator of population true score from sample data is calculated. Score variance and population reliability are examined. (Author/BJG)
Descriptors: Career Development, Mathematical Models, Test Reliability, Test Theory
Peer reviewed Peer reviewed
Hardy, Roy – American Educational Research Journal, 1975
Interval Shift Analysis (ISA) is an adaptation of the linear programming model used to determine maximum benefits or minimal losses in quantifiable economics problems. ISA is applied to pre and posttest score distributions for 43 classes of second graders. (RC)
Descriptors: Academic Achievement, Educational Research, Mathematical Models, Program Evaluation
Grace, M.; And Others – Journal of Educational Data Processing, 1975
A Markov process is used to project student enrollment for grades 1-12 for the school years 1971-1986. Absorbing Markov chain theory is used to estimate grade times, the time spent in each grade, and probabilities of eventual graduation or dropout for each grade level. (Author)
Descriptors: Elementary Secondary Education, Enrollment, Enrollment Projections, Mathematical Models
Ghose, J. K.; Ogborn, Jon – Mathematics Teaching, 1975
Descriptors: Algebra, Geometric Concepts, Geometry, Logic
Peer reviewed Peer reviewed
Rouse, William B. – Journal of the American Society for Information Science, 1974
A mathematical model is presented that can be used to predict a library's circulation. (Author)
Descriptors: Library Circulation, Library Collections, Library Planning, Mathematical Models
Peer reviewed Peer reviewed
Bookstein, Abraham – Journal of Documentation, 1974
A model for an information retrieval system in which recall and precision are inversely related is described, and then the anomaly is resolved. (PF)
Descriptors: Information Retrieval, Mathematical Models, Models, Recall (Psychology)
Kim, Gyenam; Edwards, Lynne K. – 1990
An integrated overview is provided of selected multiple comparison methods, with an emphasis on the sequentially rejective Bonferroni (SRB) test and its modifications. Multiple comparisons of means is a frequently used, and yet confusing, method in educational and psychological research. Seven multiple comparison methods are reviewed: (1) the…
Descriptors: Comparative Analysis, Equations (Mathematics), Mathematical Models, Research Methodology
Flournoy, Nancy – 1989
Designs for sequential sampling procedures that adapt to cumulative information are discussed. A familiar illustration is the play-the-winner rule in which there are two treatments; after a random start, the same treatment is continued as long as each successive subject registers a success. When a failure occurs, the other treatment is used until…
Descriptors: Algorithms, Evaluation Methods, Mathematical Models, Research Design
Raudenbush, Stephen W.; Bryk, Anthony S. – 1984
The purpose of this paper is to demonstrate in detail how the Empirical Bayes (EB) statistical estimation strategy can be applied to an important class of educational research contexts. EB methods are tailored specifically to the analysis of data with a hierarchical structure. For instance, investigators may be interested in discovering how…
Descriptors: Bayesian Statistics, Estimation (Mathematics), Mathematical Models, Research Methodology
Holland, Paul W.; Rubin, Donald B. – 1982
Lord's Paradox is analyzed in terms of a simple mathematical model for causal inference. The resolution of Lord's Paradox from this perspective has two aspects. First, the descriptive, non-causal conclusions of the two hypothetical statisticians are both correct. They appear contradictory only because they describe quite different aspects of the…
Descriptors: Estimation (Mathematics), Influences, Mathematical Models, Research Methodology
Ellett, Frederick S., Jr.; Ericson, David P. – 1983
Several steps are taken to develop methods for analyzing systems that involve probabilistic causation. The basic ideas and distinctions are illustrated for systems with dichotomous variables. It is shown that these basic ideas have analogous counterparts in causal systems with continuous variables. By using a generalized conditional probability…
Descriptors: Correlation, Mathematical Models, Measurement Techniques, Path Analysis
Teskey, F. N. – 1986
This paper identifies the need for a new theory of information and develops a mathematical model which distinguishes between: (1) data, as directly observable facts; (2) information, as structured collections of data; and (3) knowledge, as methods of using information. The model is based on the ideas of the binary relational model and uses the…
Descriptors: Cognitive Psychology, Information Retrieval, Information Science, Information Theory
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