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Peer reviewedMorris, Jeffrey – Review of Economics and Statistics, 1976
(Available from North-Holland Publishing Company, P.O. Box 211, Amsterdam, the Netherlands; $21.00 annually, plus $4.00 postage)
Descriptors: Educational Background, Educational Economics, Human Capital, Mathematical Models
Peer reviewedRitzen, Jo M. – Socio-Economic Planning Sciences, 1976
Discusses the use of quadratic programming to calculate the optimal distribution of educational investments required to closely approach manpower targets when financial resources are insufficient to meet manpower targets completely. Demonstrates use of the quadratic programming approach by applying it to the training of supervisory technicians in…
Descriptors: Educational Economics, Educational Planning, Investment, Labor Force Development
Peer reviewedWerts, C. E.; And Others – Educational and Psychological Measurement, 1978
A procedure for estimating the reliability of a factorially complex composite is considered. An application of its use with Scholastic Aptitude Test data is provided. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Mathematical Models, Matrices
Peer reviewedKrus, David J. – Applied Psychological Measurement, 1978
The Cartesian theory of dimensionality (defined in terms of geometric distances between points in the test space) and Leibnitzian theory (defined in terms of order-generative connected, transitive, and asymmetric relations) are contrasted in terms of the difference between a factor analysis and an order analysis of the same data. (Author/CTM)
Descriptors: Factor Analysis, Mathematical Models, Matrices, Multidimensional Scaling
Peer reviewedBart, William M. – Applied Psychological Measurement, 1978
Two sets of five items each from the Law School Admission Test were analyzed by two methods of factor analysis, and by the Krus-Bart ordering theoretic method of multidimensional scaling. The results indicated a conceptual gap between latent trait theoretic procedures and order theoretic procedures. (Author/CTM)
Descriptors: Factor Analysis, Higher Education, Mathematical Models, Matrices
Peer reviewedChen, T. W. – American Journal of Physics, 1979
An approximate method is developed for elastic scattering at large angle in the framework of classical mechanics. A simple formula for differential cross-section is obtained. (Author/BB)
Descriptors: Energy, Force, Mathematical Models, Mathematics
Peer reviewedRegal, Ronald R.; Larntz, Kinley – Psychometrika, 1978
Models relating individual and group problem solving solution times under the condition of limited time (time limit censoring) are presented. Maximum likelihood estimation of parameters and a goodness of fit test are presented. (Author/JKS)
Descriptors: Goodness of Fit, Hypothesis Testing, Mathematical Models, Problem Solving
Peer reviewedRead, Campbell B. – Psychometrika, 1978
Three dimensional contingency tables in which one variable is considered to be a factor and the other two variables have a natural relationship (such as left and right eye vision) are analyzed. Models involving symmetry and proportional symmetry between the related variables are also presented. (Author/JKS)
Descriptors: Expectancy Tables, Hypothesis Testing, Mathematical Models, Nonparametric Statistics
Peer reviewedWolper, James; Trudell, Libby – Journal of Library Automation, 1978
A mathematical model of a regional interlibrary loan system was developed as a tool for the design and evaluation of a strategy to equalize the load of Interlibrary Loans (ILL) of libraries in the system. The load-leveling capability of several algorithms for representing each library's ILL activity was tested. (Author/VT)
Descriptors: Algorithms, Interlibrary Loans, Library Networks, Mathematical Models
Peer reviewedTreagust, David F.; Lunetta, Vincent N. – Journal of Research in Science Teaching, 1978
The purpose of this investigation was to test extensions of a model of concept learning. The investigators examined the applicability of a mathematical model to the learning of selected science concepts. Findings suggest that certain extensions of the model may apply for a complex concept identification task. (Author/MA)
Descriptors: College Students, Concept Formation, Educational Research, Mathematical Models
Peer reviewedWhitney, Douglas R. – Educational and Psychological Measurement, 1978
Statistical tests for determining whether one pole of an attitude scale is characteristic of a population are examined. A less restrictive procedure and the situations in which it might be used are discussed. (Author/JKS)
Descriptors: Attitude Measures, Bias, Hypothesis Testing, Mathematical Models
Peer reviewedMulaik, Stanley A.; McDonald, Roderick P. – Psychometrika, 1978
Solutions for the indeterminate common factor of a group of variables satisfying the single common factor model are not unique. This paper examines a number of thereoms concerning that problem and draws conclusions from them for factor analysis in general. (Author/JKS)
Descriptors: Data Analysis, Factor Analysis, Mathematical Models, Matrices
Peer reviewedDinero, Thomas E.; Haertel, Edward – Applied Psychological Measurement, 1977
This research simulated responses of 75 subjects to 30 items under the Birnbaum model and attempted a fit to the data using the Rasch model. When item discriminations varied from a variance of .05 to .25, there was only a slight increase in lack of fit as the variances increased. (Author/CTM)
Descriptors: Goodness of Fit, Item Analysis, Latent Trait Theory, Mathematical Models
Peer reviewedNicolaidis, Gregory C. – Environment and Behavior, 1977
Two studies are reviewed which concern the analysis and use of attitudinal data to further enhance the understanding of urban travel. Both studies employed multidimensional scaling techniques. (Author/MA)
Descriptors: Attitudes, Behavior, Environment, Life Style
Richards, Winston A. – MATYC Journal, 1978
The students in a basic course on probability and statistics in Trinidad demonstrated that the number of fatal highway accidents appeared to follow a Poisson distribution while the length of time between deaths followed exponential distribution. (MN)
Descriptors: College Mathematics, Data Analysis, Higher Education, Mathematical Models


