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Peer reviewedTzelgov, Joseph; Stern, Iris – Educational and Psychological Measurement, 1978
Following Conger's revised definition of suppressor variables, the universe relationships among two predictors and a criterion is analyzed. A simple mapping of relationships, based on the correlation between two predictors and the ratio of their validities, is provided. The relation between suppressor and part correlation is also discussed.…
Descriptors: Correlation, Mathematical Models, Multiple Regression Analysis, Predictor Variables
Peer reviewedCeurvorst, Robert, W.; Stock, William A. – Multivariate Behavioral Research, 1978
The univariate and multivariate models for the analysis of covariance are compared for the case where an experimental design contains between and within subject factors, one dependent variable, and one observation per subject. (Author/JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Mathematical Models, Statistical Analysis
Peer reviewedDworkin, Nancy E.; Dworkin, Yehoash S. – Journal of Educational Thought, 1978
Suggests an alternative universe in which failure is identified as a systems concern, instead of a human breakdown. The model presents successful behavior in terms of growth in process efficiency, rather than the +/- (right/wrong) matrix associated with achievement orientation. (Editor)
Descriptors: Academic Failure, Educational Research, Failure, Human Development
Peer reviewedGames, Paul A. – American Educational Research Journal, 1978
Marascuilo's and Levin's use of the term "nesting" to describe a statistical model, and application of the Scheffe tests on restricted sets of contrasts, is opposed. Changing the model during analysis of a complex set of data is both necessary and desirable. (Author/CP)
Descriptors: Data Analysis, Factor Analysis, Hypothesis Testing, Mathematical Models
Peer reviewedRamsay, J. O. – Psychometrika, 1978
Techniques are developed for constructing confidence regions for each of the points in a multidimensional scaling solution. Bayesian credibility regions are discussed, and a technique for displaying these regions is described. (Author/JKS)
Descriptors: Bayesian Statistics, Hypothesis Testing, Mathematical Models, Measurement Techniques
Peer reviewedTzeng, Oliver C. S.; Landis, Dan – Multivariate Behavioral Research, 1978
Two popular models for performing multidimensional scaling, Tucker and Messick's points-of-view model, and Tucker's three mode model, are combined into a single analytic procedure, the 3M-POV model. The procedure is described and its strengths are discussed. Carroll and Chang's INDSCAL model is also mentioned. (JKS)
Descriptors: Correlation, Item Analysis, Mathematical Models, Multidimensional Scaling
Peer reviewedRouse, William B.; Rouse, Sandra H. – Journal of the American Society for Information Science, 1978
A library network model is reviewed and a derivation is presented that requires fewer assumptions and allows more robust representations of library networks. (Author)
Descriptors: Data Analysis, Library Networks, Mathematical Models, Performance
Peer reviewedLong, Cliff – Two-Year College Mathematics Journal, 1976
Instructions are given for building a flexible model used for illustrating an elliptic paraboloid, a parabolic cylinder, and a hyperbolic paraboloid. (DT)
Descriptors: College Mathematics, Geometry, Higher Education, Instruction
Peer reviewedChemical and Engineering News, 1978
A simple formula and accompanying set of factors has been developed to estimate the average salary of groups of chemists with common characteristics. Five major characteristics in determining salaries are presented: years of experience, highest degree, type of employer, work function, and sex. Tables and a sample problem are included. (MA)
Descriptors: Chemistry, Degrees (Academic), Employment, Mathematical Models
Peer reviewedGuy, Louis-Gavet – Information Processing and Management, 1977
A new method for concentrating keywords of a thesaurus, based on a mathematical study of the distribution of characters in a defined natural language. (Author/KP)
Descriptors: Computer Programs, Databases, Information Retrieval, Information Storage
Peer reviewedMarney, John – Journal of the Chinese Language Teachers Association, 1977
This article presents some alternative formulae for Chinese-Western conversion of dates. (CHK)
Descriptors: Chinese, Chinese Culture, Mathematical Models, Number Concepts
Peer reviewedHawkins, Vincent J. – School Science and Mathematics, 1985
A model, easily constructed by students, is used to assist in seeking basic Pythagorean identities used to prove more complex ones. (MNS)
Descriptors: Mathematical Models, Mathematics Instruction, Secondary Education, Secondary School Mathematics
Peer reviewedEgghe, L. – Journal of Documentation, 1988
Reviews the bibliometric laws of Bradford, Leimkuhler, Mandelbrot, Lotka, Brookes, and Zipf, and classifies them in two groups, based on the use of mathematical logic and equivalency. (8 references) (CLB)
Descriptors: Bibliometrics, Classification, Mathematical Logic, Mathematical Models
Peer reviewedNicholls, Paul Travis – Journal of the American Society for Information Science, 1987
Describes and compares eight methods of estimating the parameters of the Zipf distribution. (CLB)
Descriptors: Comparative Analysis, Estimation (Mathematics), Mathematical Models, Predictive Measurement
Peer reviewedAkaike, Hirotugu – Psychometrika, 1987
The Akaike Information Criterion (AIC) was introduced to extend the method of maximum likelihood to the multimodel situation. Use of the AIC in factor analysis is interesting when it is viewed as the choice of a Bayesian model; thus, wider applications of AIC are possible. (Author/GDC)
Descriptors: Bayesian Statistics, Factor Analysis, Mathematical Models, Maximum Likelihood Statistics


