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Ceurvorst, Robert W.; Krus, David J. – Applied Psychological Measurement, 1979
A method for computation of dominance relations and for construction of their corresponding hierarchical structures is presented. The link between dominance and variance allows integration of the mathematical theory of information with least squares statistical procedures without recourse to logarithmic transformations of the data. (Author/CTM)
Descriptors: Analysis of Variance, Information Theory, Least Squares Statistics, Mathematical Models
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Heilbron, J. L. – American Journal of Physics, 1981
Discusses the development of the Rutherford-Bohr atom. Indicates how the objectives of the historian may differ from those of the retrospecting or historicizing physicist. (Author/SK)
Descriptors: Atomic Structure, Atomic Theory, Mathematical Models, Mechanics (Physics)
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Gilbert, R. – Journal of Geological Education, 1979
Describes a simple hydraulic simulator based on more complex models long used by engineers to develop approximate solutions. It allows students to visualize non-steady transfer, to apply a model to solve a problem, and to compare experimentally simulated information with calculated values. (Author/MA)
Descriptors: Earth Science, Energy, Geology, Laboratory Equipment
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Gross, Alan L.; Shulman, Vivian – Journal of Educational Measurement, 1980
The suitability of the beta binomial test model for criterion referenced testing was investigated, first by considering whether underlying assumptions are realistic, and second, by examining the robustness of the model. Results suggest that the model may have practical value. (Author/RD)
Descriptors: Criterion Referenced Tests, Goodness of Fit, Higher Education, Item Sampling
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Bergan, John R. – Contemporary Educational Psychology, 1980
This study illustrates a process for selecting a preferred model in the validation of hierarchical learning scales. The test performance of 100 8-to 11-year-old children on subtraction tasks involving variations in borrowing are examined. Goodman's response scaling technique is illustrated. (Author/GDC)
Descriptors: Elementary Education, Learning Theories, Mathematical Models, Problem Solving
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Bleau, Barbara Lee – Higher Education, 1981
Planning model literature from its earliest use to the present, emphasizing the generalized resource allocation models, is summarized. Several examples of categories of models are cited. An in-depth analysis of six resource allocation models (e.g., CAMPUS Simulation Model, TRADES Financial Planning Model) is presented. (Author/MLW)
Descriptors: College Planning, Computer Oriented Programs, Costs, Higher Education
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Simon, Sheridan A.; Hurley, Donna – American Journal of Physics, 1981
Describes a technique whereby qualitatively correct models of differentially rotating degenerate stars may be constructed by simple methods available to undergraduate students. (Author/JN)
Descriptors: Astronomy, College Science, Higher Education, Mathematical Formulas
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Bellemans, A. – American Journal of Physics, 1981
Presents an elementary formulation of the work expenditure corresponding to walking, the most common physical exercise. The model described is included in a physics course for freshmen in physical education and physical therapy. (Author/JN)
Descriptors: Biomechanics, Biophysics, College Science, Exercise
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Bintig, Arnfried – Educational and Psychological Measurement, 1980
Twelve variance-analytical and nonparametrical coefficients of reliability for rating scales designed for rating persons were compared to each other theoretically and empirically. Preference for two coefficients was established. The intraclass correlation coefficient appeared to be useful for the estimation of reliability as well. (Author/RL)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Mathematical Models
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Sachar, Jane; Suppes, Patrick – Educational and Psychological Measurement, 1980
The present study compared six methods, two of which utilize the content structure of items, to estimate total-test scores using 450 students and 60 items of the 110-item Stanford Mental Arithmetic Test. Three methods yielded fairly good estimates of the total-test score. (Author/RL)
Descriptors: Content Analysis, Correlation, Item Analysis, Item Sampling
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Cohn, Elchanan; And Others – Journal of Education Finance, 1980
Describes and provides a simulation of an input-output, goal-programing technique that uses efficiency criteria as prerequisites for state aid payments and provides for the sharing of managerial know-how between the state and local school districts. (Author/IRT)
Descriptors: Elementary Secondary Education, Equalization Aid, Input Output Analysis, Mathematical Models
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Levine, Joel H. – Psychometrika, 1979
Social and naturally occurring choice phenomena are often of the "pick any" type in which the number of choices made by a subject as well as the set of alternatives from which they are chosen is unconstrained. A model and scaling method for these data are introduced. (Author/JKS)
Descriptors: Data Analysis, Item Analysis, Mathematical Models, Multidimensional Scaling
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Werts, C. E.; And Others – Multivariate Behavioral Research, 1980
This paper demonstrates how the problem of calibrating measures can be formulated in terms of confirmatory factor analysis. The relationships between traditional approaches and a confirmatory factor approach are specified. (Author/CTM)
Descriptors: Achievement Tests, Equated Scores, Factor Analysis, Intermediate Grades
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Mazur, Zygmunt – Information Processing and Management, 1979
Describes a model of an information retrieval system based on a thesaurus with weights. Appropriate terms are defined, and inclusiveness and two other fundamental properties of the system are presented. (CWM)
Descriptors: Information Retrieval, Information Systems, Mathematical Models, Relevance (Information Retrieval)
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Lazear, Edward – Review of Economics and Statistics, 1980
Examines whether variations in the levels of attained schooling across groups can be explained by a model that assumes that captial markets are perfect and that individuals maximize wealth. Available from Editorial Office, Review of Economics and Statistics, M-8 Littauer Center, Cambridge, MA 02138. (Author/IRT)
Descriptors: Costs, Education, Educational Attainment, Educational Benefits
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