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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 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 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 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 reviewedRindskopf, David – New Directions for Program Evaluation, 1986
Modeling the process by which participants are selected into groups, rather than adjusting for preexisting group differences, provides the basis for several new approaches to the analysis of data from nonrandomized studies. Econometric approaches, the propensity scores approach, and the relative assignment variable approach to the modeling of…
Descriptors: Effect Size, Experimental Groups, Intelligence Quotient, Mathematical Models
Peer reviewedGelman, E.; Sichel, H. S. – Journal of the American Society for Information Science, 1987
Argues that library book circulation is a binomial rather than a Poisson process, and that individual book popularities are continuous beta distributions. Three examples demonstrate the superiority of beta over negative binomial distribution, and it is suggested that a bivariate-binomial process would be helpful in predicting future book…
Descriptors: Library Circulation, Library Statistics, Mathematical Models, Operations Research
Ven, A. H. G. S. van der – Tijdschrift Voor Onderwijs Research, 1976
A more generalized error model for time-limit tests is developed. Model estimates are derived for right-attempted and wrong-attempted correlations both within the same test and between different tests. A comparison is made between observed correlations and their model counterparts and a fair agreement is found between observed and expected…
Descriptors: Comparative Analysis, Correlation, Mathematical Models, Response Style (Tests)
Porter, Stephen R. – 2000
Annual funds face pressures to contact all alumni to maximize participation, but these efforts are costly. This paper uses a logistic regression model to predict likely donors among alumni from the College of Arts & Humanities at the University of Maryland, College Park. Alumni were grouped according to their predicted probability of donating…
Descriptors: Alumni, Donors, Fund Raising, Mathematical Models
Peer reviewedColumbus, Christopher – Journal for Research in Mathematics Education, 1974
Argues for increased usage of non-linear regression models which could account for a greater percentage of the variance in the data than do linear models in educational studies. (JP)
Descriptors: Educational Research, Mathematical Models, Mathematics Education, Research Methodology
Peer reviewedWiersma, William; Hall, Charles – Educational and Psychological Measurement, 1973
In the geometrical construct of the MANOVA, the dimensions of interest are primarily those of the significant canonical variates, rather than either those of the original n variables or even the total possible canonical variates. (Authors)
Descriptors: Analysis of Variance, Geometric Concepts, Mathematical Models, Measurement Techniques
Peer reviewedCohen, Jacob – Educational and Psychological Measurement, 1973
Comments based on J. J. Kennedy's The eta coefficient in complex ANOVA designs,'' EJ 031 388. (CB)
Descriptors: Analysis of Variance, Factor Analysis, Mathematical Models, Measurement Techniques
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
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


