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Peer reviewedTrigg, Charles W. – Mathematics Teacher, 1972
Descriptors: Geometry, Instructional Materials, Manipulative Materials, Mathematical Models
Peer reviewedKrouse, Clement G. – Management Science, 1972
Descriptors: Budgeting, Capital, Decision Making, Financial Needs
Peer reviewedLamson, Robert D.; Powel, John H., Jr. – Socio-Economic Planning Sciences, 1972
Response to a recent article in this journal by Ewald and Kiker. Provides a costing methodology based on a similar application of input-output theory but one that is completely general with regard to possible program interrelationships. (Author/JH)
Descriptors: Cost Effectiveness, Educational Benefits, Higher Education, Input Output Analysis
Peer reviewedWerts, Charles E.; Linn, Robert L. – Educational and Psychological Measurement, 1972
Descriptors: Analysis of Variance, Correlation, Factor Analysis, Mathematical Models
Peer reviewedDudley, B. A. C. – Journal of Biological Education, 1971
Describes the usefulness of applying mathematical models to growth in one, two, or three dimensions to reveal the biological consequences of changes in the dimensions of organs or organisms. (AL)
Descriptors: Biology, College Science, Growth Patterns, Instruction
Peer reviewedBechtel, Gordon G.; And Others – Psychometrika, 1971
Contains a solution for the multidimensional scaling of pairwise choice when individuals are represented as dimensional weights. The analysis supplies an exact least squares solution and estimates of group unscalability parameters. (DG)
Descriptors: Data Analysis, Mathematical Models, Measurement Techniques, Multidimensional Scaling
Peer reviewedByrkit, Donald R. – School Science and Mathematics, 1972
Descriptors: Algebra, Instruction, Mathematical Models, Mathematics Education
Clarke, R. H. – Mathematics Teaching, 1971
This article describes how the arrival rate and service time distribution of a queue were investigated, and how a subsequent random-number simulation of the queue was carried out. (MM)
Descriptors: Charts, Mathematical Enrichment, Mathematical Models, Mathematics Education
Peer reviewedLord, Frederic M. – Psychometrika, 1971
A two-stage testing procedure, a routing test followed by one of several alternative second-stage tests, is studied in the situation where the purpose is measurement, not classification. Models are developed, examined, and compared with conventional tests and up-and-down procedures. (DG)
Descriptors: Guessing (Tests), Mathematical Models, Measurement Techniques, Scoring
Peer reviewedGoldberger, Arthur S. – Psychometrika, 1971
Several themes which are common to both econometrics and psychometrics are surveyed. The themes are illustrated by reference to permanent income hypotheses, simultaneous equation models, adaptive expectations and partial adjustment schemes, and by reference to test score theory, factor analysis, and time-series models. (Author)
Descriptors: Economics, Factor Analysis, Mathematical Models, Multiple Regression Analysis
Peer reviewedFroemel, Ernest C. – Psychometrika, 1971
Saunder's routine, Buhler's empirical approximation, and Castellan's series expansion are compared. Saunder's routine was identified as an acceptably accurate method. (PR)
Descriptors: Comparative Analysis, Computer Programs, Correlation, Factor Analysis
Peer reviewedGrinstein, Louise S. – Mathematics Teacher, 1971
Descriptors: Action Research, Management Systems, Mathematical Applications, Mathematical Models
Peer reviewedSowder, Larry – Arithmetic Teacher, 1971
Descriptors: Elementary School Mathematics, Fractions, Instruction, Mathematical Concepts
Peer reviewedLuftig, Jeffrey T. – Journal of Studies in Technical Careers, 1983
This article reviews some of the less well-known hypothesis tests for variance, how they are employed, and how the results may be interpreted. Tests include testing for a single variance and the T-test for correlated variances. (CT)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models
Peer reviewedCliff, Norman – Multivariate Behavioral Research, 1983
The dangers of overlooking time-honored cautions in the making causal interpretations of data analyses from correlational studies when using highly sophisticated computer programs and their associated techniques are discussed. (JKS)
Descriptors: Computer Programs, Goodness of Fit, Mathematical Models, Multivariate Analysis


