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Peer reviewedVegelius, Jan – Educational and Psychological Measurement, 1975
The program can compute a great number of different correlation and other statistical measures. The user is free to select among the measures and also among the variables that are read by the program. When a particular set of variables has been treated in the prescribed way, a new set may follow together with new measure definitions. (Author)
Descriptors: Computer Programs, Correlation, Matrices, Statistical Analysis
Peer reviewedHubert, L. J.; Golledge, R. G. – Psychometrika, 1981
A recursive dynamic programing strategy for reorganizing the rows and columns of square proximity matrices is discussed. The strategy is used when the objective function measuring the adequacy of the reorganization has a fairly simple additive structure. (Author/JKS)
Descriptors: Computer Programs, Mathematical Models, Matrices, Statistical Analysis
Peer reviewedMcClelland, Gary; Coombs, Clyde H. – Psychometrika, 1975
ORDMET is applicable to structures obtained from additive conjoint measurement designs, unfolding theory, general Fechnerian scaling, types of multidimensional scaling, and ordinal multiple regression. A description is obtained of the space containing all possible numerical representations which can satisfy the structure, size, and shape of which…
Descriptors: Algorithms, Computer Programs, Data Analysis, Matrices
Peer reviewedHakstian, A. Ralph – Multivariate Behavioral Research, 1975
Descriptors: Computer Programs, Factor Analysis, Factor Structure, Matrices
Peer reviewedDreger, Ralph Mason – Educational and Psychological Measurement, 1979
A program is described utilizing a microcomputer and tape drive with any contingency or chi-square table from 2x2 to 8x8. It requires only the entering of the number of rows and number of columns, plus one-time entry of cell frequencies. (Author/JKS)
Descriptors: Analysis of Variance, Computer Programs, Computers, Matrices
Peer reviewedMcDonald, R. P. – Psychometrika, 1974
Maximum likelihood estimates of the free parameters, and an asymptotic likelihood-ratio test, are given for the hypothesis that one or more elements of a covariance matric are zero, and/or that two or more of its elements are equal. (Author/RC)
Descriptors: Analysis of Covariance, Computer Programs, Hypothesis Testing, Matrices
Peer reviewedGames, Paul A. – Educational and Psychological Measurement, 1975
Describes a set of five programs providing robust techniques that work well when the assumption of conventional analysis of variance have been violated. (Author/RC)
Descriptors: Analysis of Variance, Computer Programs, Matrices, Research Design
Peer reviewedPolson, Peter G.; Huizinga, David – Psychometrika, 1974
Descriptors: Algorithms, Computer Programs, Goodness of Fit, Learning Processes
PDF pending restorationvan Thillo, Marielle – 1973
Two computer subroutine packages for the analytic rotation of a factor matrix, A(p x m), are described. The first program uses the Flectcher (1970) gradient method, and the second uses the Polak-Ribiere (Polak, 1971) gradient method. The calculations in both programs involve the optimization of a function of free parameters. The result is a…
Descriptors: Comparative Analysis, Computer Programs, Factor Analysis, Matrices
Peer reviewedSteiger, James H. – Educational and Psychological Measurement, 1979
The program presented computes a chi-square statistic for testing pattern hypotheses on correlation matrices. The statistic is based on a multivariate generalization of the Fisher r-to-z transformation. This statistic has small sample performance which is superior to an analogous likelihood ratio statistic obtained via the analysis of covariance…
Descriptors: Analysis of Covariance, Computer Programs, Correlation, Matrices
Timm, Neil H.; Carlson, James E. – 1975
Part and bi-partial canonical correlations were developed by extending the definitions of part and bi-partial correlation to sets of variates. These coefficients may be used to help researchers explore relationships which exist among several sets of normally distributed variates. (Author)
Descriptors: Computer Programs, Correlation, Data Analysis, Hypothesis Testing
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1975
A Computer program written in FORTRAN IV is presented which will create a population of desired size with marginally normal score vectors manifesting any desired centroid and covariance matrix. Uses and documentation are provided. (Author)
Descriptors: Analysis of Covariance, Computer Programs, Correlation, Data Analysis
Peer reviewedPeay, Edmund R. – Psychometrika, 1975
A class of closely related hierarchical grouping methods are discussed and a procedure which implements them in an integrated fashion is presented. These methods avoid some theoretical anomalies inherent in clustering and provide a framework for viewing partitioning and nonpartitioning grouping. Significant relationships between these methods and…
Descriptors: Classification, Cluster Grouping, Computer Programs, Data Analysis
Peer reviewedKatz, Jeffrey Owen; Rohlf, F. James – Psychometrika, 1974
Descriptors: Computer Programs, Criteria, Factor Analysis, Factor Structure
Myerberg, N. James – 1975
The effect of stratified sampling of items on the estimation of test score distribution parameters by multiple matrix sampling was studied. Item difficulty and/or interitem correlations were the bases of stratification. Various item iniverses were created by computer simulation and sampled according to several plans. The results indicate that…
Descriptors: Computer Programs, Item Analysis, Item Sampling, Matrices
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