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Peer reviewedAllen, Stuart J.; Hubbard, Raymond – Multivariate Behavioral Research, 1986
In order to make parallel analysis more accessible to researchers employing principal component techniques, regression equations are presented for the logarithms of the latent roots of random data correlation matrices with unities on the diagonal. (Author/LMO)
Descriptors: Correlation, Expectancy Tables, Factor Analysis, Matrices
Peer reviewedLevine, Marilyn M.; Levine, Leonard P. – Information Processing and Management, 1984
Presents system for automatic handling of ordered sets, states based on these sets, and differing points of view regarding Universe of Discourse. Aspects are represented by new logical "overlap" function with examples taken from Ranganathan's horse and carriage parable and several books involving four main concepts (history, geography,…
Descriptors: Cluster Analysis, Cluster Grouping, Diagrams, Information Retrieval
Peer reviewedTimm, Neil H.; Carlson, James E. – Psychometrika, 1976
Extending the definitions of part and bipartial correlation to sets of variates, the notion of part and bipartial canonical correlation analysis are developed and illustrated. (Author)
Descriptors: Correlation, Hypothesis Testing, Matrices, Multivariate Analysis
Peer reviewedMulaik, Stanley A. – Psychometrika, 1976
Discusses Guttman's index of indeterminacy in light of alternative solutions which are equally likely to be correct and alternative solutions for the factor which are not equally likely to be chosen. Offers index which measures a different aspect of the same indeterminacy problem. (ROF)
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices
Peer reviewedHakstian, A. Ralph – Psychometrika, 1976
Examples are presented in which it is either necessary or desirable to transform two sets of orthogonal axes to simple structure positions by means of the same transformation matrix. A solution is outlined which represents a two-matrix extension of the general "orthomax" orthogonal rotation criterion. (Author/RC)
Descriptors: Factor Analysis, Factor Structure, Matrices, Orthogonal Rotation
Peer reviewedHubert, Lawrence; Baker, Frank B. – Journal of Educational Statistics, 1976
Presents an exposition of two data reduction methods--single-link and complete-link hierarchical clustering. Emphasis is on statistical techniques for evaluating the adequacy of a completed partition hierarchy and the individual partitions within the sequence. A numerical reanalysis of data illustrates the methodology. (RC)
Descriptors: Cluster Grouping, Data Analysis, Evaluation, Hypothesis Testing
Peer reviewedMontanelli, Richard G.; Humphreys, Lloyd G. – Psychometrika, 1976
In order to make the parallel analysis criterion for determining the number of factors in factor analysis easy to use, regression equations for predicting the logarithms of the latent roots of random correlation matrices, with squared multiple correlations on the diagonal, are presented. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Matrices, Monte Carlo Methods
Peer reviewedCronbach, Lee J. – Journal of Educational Measurement, 1976
The Petersen-Novick paper dealing with culture fair selection (TM 502 259) is the basis for this article. The author proposes a perspective in which ideas can be lined up for comparison and suggests solutions to the problems of selection in employment. (DEP)
Descriptors: Bias, Employment Opportunities, Matrices, Models
Childs, Ruth A.; Jaciw, Andrew P. – 2003
Matrix sampling of test items, the division of a set of items into different versions of a test form, is used by several large-scale testing programs. This Digest discusses nine categories of costs associated with matrix sampling. These categories are: (1) development costs; (2) materials costs; (3) administration costs; (4) educational costs; (5)…
Descriptors: Costs, Matrices, Reliability, Sampling
Hayashi, Atsuhiro – 2003
Both the Rule Space Method (RSM) and the Neural Network Model (NNM) are techniques of statistical pattern recognition and classification approaches developed for applications from different fields. RSM was developed in the domain of educational statistics. It started from the use of an incidence matrix Q that characterizes the underlying cognitive…
Descriptors: Classification, Comparative Analysis, Matrices, Pattern Recognition
Peer reviewedWilliams, W. T – Australian Mathematics Teacher, 1972
The problem of developing numerical methods for classification in the sciences is examined, with a discussion of classification strategies included. (DT)
Descriptors: Biology, Classification, Mathematical Applications, Mathematics
Rose, David M. – Mathematical Gazette, 1973
Descriptors: Algebra, College Mathematics, Mathematical Enrichment, Mathematics
Peer reviewedten Berge, Jos M. F. – Psychometrika, 1979
Tucker's method of oblique congruence rotation is shown to be equivalent to a procedure by Meredith. This implies that Monte Carlo studies on congruence by Nesselroade, Baltes, and Labouvie and by Korth and Tucker are highly comparable. The problem of rotating two matrices orthogonally to maximal congruence is considered. (Author/CTM)
Descriptors: Factor Analysis, Factor Structure, Matrices, Oblique Rotation
Hall, Eleanor G. – G/C/T, 1980
The article proposes an evaluation plan for gifted and talented programs that includes effective evaluation of program objectives as well as a matrix approach to assemble evaluation data. (CL)
Descriptors: Elementary Secondary Education, Evaluation Methods, Gifted, Matrices
Peer reviewedLevin, Joseph – Multivariate Behavioral Research, 1979
Two applications of Kristof's theorem on traces of matrix products are presented in order to highlight their utility for psychometric theory and studies. (Author/JKS)
Descriptors: Mathematical Models, Matrices, Psychometrics, Statistical Analysis


