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Kazelskis, Richard – Southern Journal of Educational Research, 1977
Estimates of the internal consistency and reliability of the first principal component are provided through the use of the largest characteristic root and associated vector of the equicorrelation matrix. The estimate of the internal consistency is also shown to be a lower bound for the measure provided by Horn (1969). (Author)
Descriptors: Correlation, Equated Scores, Factor Analysis, Matrices
Peer reviewedKrus, David J.; Krus, Patricia H. – Educational and Psychological Measurement, 1977
Described is a Fortran computer program for an alternative algorithm for Thurstone's pair comparisons method. This algorithm provides an improved capacity for handling indeterminate proportions of one and zero as well as untruncated estimates of population scale values. (Author/JKS)
Descriptors: Algorithms, Attitude Measures, Comparative Analysis, Computer Programs
Peer reviewedKhan, Badrul H. – Performance Improvement, 1997
Discusses the redesign of educational systems and presents a designing matrix to help select boundaries of a new system. A conceptual framework for exploring educational system boundaries is described, systems models are discussed, and the three cells of the matrix are explained. (LRW)
Descriptors: Design Requirements, Educational Change, Educational Development, Matrices
Peer reviewedWright, Benjamin D. – Structural Equation Modeling, 1996
Rasch measurement is preferable to factor analysis for reducing complex data matrices to unidimensional variables because factor analysis can mistake ordinally labeled stochastic observations for linear measures, and it does not construct linear measurement. Guidelines and instructions on how to use Rasch measurement to replace factor analysis are…
Descriptors: Comparative Analysis, Factor Analysis, Item Response Theory, Matrices
Peer reviewedSchaffer, Catherine M.; Green, Paul E. – Multivariate Behavioral Research, 1996
The common marketing research practice of standardizing the columns of a persons-by-variables data matrix prior to clustering the entities corresponding to the rows was evaluated with 10 large-scale data sets. Results indicate that the column standardization practice may be problematic for some kinds of data that marketing researchers used for…
Descriptors: Cluster Analysis, Comparative Analysis, Marketing, Matrices
Peer reviewedWatkins, Will; And Others – Journal of Computers in Mathematics and Science Teaching, 1988
Examines the similarities and fundamental differences between procedural programing and logic programing by comparing LogoWriter and PROLOG. Suggests that PROLOG may be a good first programing language for students to learn. (MVL)
Descriptors: Instructional Materials, Mathematical Applications, Matrices, Programing
Peer reviewedSatorra, Albert – Psychometrika, 1989
Within covariance structural analysis, a unified approach to asymptotic theory of alternative test criteria for testing parametric restrictions is provided. More general statistics for addressing the case where the discrepancy function is not asymptotically optimal, and issues concerning power analysis and the asymptotic theory of testing-related…
Descriptors: Chi Square, Equations (Mathematics), Matrices, Psychometrics
Peer reviewedten Berge, Jos M. F.; Kiers, Henk A. L. – Psychometrika, 1989
The DEDICOM (decomposition into directional components) model provides a framework for analyzing square but asymmetric matrices of directional relationships among "n" objects or persons in terms of a small number of components. One version of DEDICOM ignores the diagonal entries of the matrices. A straightforward computational solution…
Descriptors: Algorithms, Factor Analysis, Goodness of Fit, Least Squares Statistics
Peer reviewedPowell, Jay C. – Guidance & Counselling, 1992
This commentary praises the clustering technique of data gathering from clients described by Carney (1992). It also cautions that analyzing qualitative data by quantitative means must be done with care, so that a matrix analysis and resulting interpretation of data gathered through the clustering technique, as Carney suggests, is valid and…
Descriptors: Counseling Techniques, Data Analysis, Matrices, Probability
Peer reviewedten Berge, Jos M. F. – Psychometrika, 1991
A globally optimal solution is presented for a class of functions composed of a linear regression function and a penalty function for the sums of squared regression weights. A completing-the-squares approach is used, rather than calculus, because it yields global minimality easily in two of three cases examined. (SLD)
Descriptors: Algorithms, Equations (Mathematics), Mathematical Models, Matrices
Peer reviewedDunlap, William P.; Cornwell, John M. – Multivariate Behavioral Research, 1994
The fundamental problems that ipsative measures impose for factor analysis are shown analytically. Normative and ipsative correlation matrices are used to show that the factor pattern induced by ipsativity will overwhelm any factor structure seen with normative factor analysis, making factor analysis not interpretable. (SLD)
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices
Peer reviewedRodgers, Joseph Lee; Thompson, Tony D. – Applied Psychological Measurement, 1992
A flexible data analysis approach is proposed that combines the psychometric procedures seriation and multidimensional scaling. The method, which is particularly appropriate for analysis of proximities containing temporal information, is illustrated using a matrix of cocitations in publications by 18 presidents of the Psychometric Society.…
Descriptors: Citations (References), Cluster Analysis, Mathematical Models, Matrices
Peer reviewedCarson, C. Herbert; Curtis, Ruth V. – Research Strategies, 1991
Describes instructional design theory at the micro level and offers practical examples that may be applied to bibliographic instruction. The Performance-Content Matrix, a classification scheme for categorizing learning objectives according to their specified level of performance and type of content, is explained; and Merrill's Component Display…
Descriptors: Behavioral Objectives, Classification, Instructional Design, Learning Theories
Peer reviewedGrayson, David; Marsh, Herbert W. – Psychometrika, 1994
In confirmatory factor analysis (CFA), models exist that are admissible and demonstrably identified where the factor loading matrix from latent to manifest variables is of less than full column rank, even though other models are not identified. Implications for CFA are discussed. (SLD)
Descriptors: Equations (Mathematics), Identification, Matrices, Models
Peer reviewedDonoghue, Eileen F. – School Science and Mathematics, 1999
Introduces a schema for classifying research in mathematics education that deepens and extends the Romberg/Bourne Model. Employs dual hierarchical systems, one related to the research task and the other to research technique. (Author/CCM)
Descriptors: Classification, Higher Education, Mathematics Education, Matrices


