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Hubert, 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
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Young, Forrest W.; Null, Cynthia H. – Psychometrika, 1978
Multidimensional scaling has recently been enhanced so that data defined at only the nominal level of measurement can be analyzed. The efficacy of ALSCAL, an individual differences multidimensional scaling program which can analyze nominal, ordinal, interval and ratio data is presented. (Author/JKS)
Descriptors: Computer Programs, Hypothesis Testing, Multidimensional Scaling, Psychometrics
Peer reviewed Peer reviewed
Fleishman, Allen I. – Psychometrika, 1978
A method of introducing a controlled degree of skew and kurtosis for Monte Carlo studies was derived. The form of such a transformation on normal deviates is given. Analytic and empirical validation of the method is demonstrated. (Author/JKS)
Descriptors: Computer Programs, Monte Carlo Methods, Statistical Analysis, Technical Reports
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McClelland, 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
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Kirk, David B. – Psychometrika, 1973
In this paper a rapid and reliable method is found for estimating the value of the Bivariate Normal Correlation Coefficient, p, given values of the joint probability and the normal deviates, h and k, or the related areas. (Editor)
Descriptors: Computer Programs, Correlation, Measurement, Psychological Studies
Peer reviewed Peer reviewed
Gebhardt, Friedrich – Psychometrika, 1971
Descriptors: Computer Programs, Factor Analysis, Goodness of Fit, Mathematical Models
Peer reviewed Peer reviewed
McDonald, 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 reviewed Peer reviewed
Hubert, Lawrence J.; Baker, Frank B. – Psychometrika, 1978
The "Traveling Salesman" and similar combinatorial programming tasks encountered in operations research are discussed as possible data analysis models in psychology, for example, in developmental scaling, Guttman scaling, profile smoothing, and data array clustering. A short overview of various computational approaches from this area of…
Descriptors: Computer Programs, Computer Science, Mathematical Models, Measurement
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Polson, Peter G.; Huizinga, David – Psychometrika, 1974
Descriptors: Algorithms, Computer Programs, Goodness of Fit, Learning Processes
Peer reviewed Peer reviewed
Froemel, Ernest C. – Psychometrika, 1971
Saunder's routine, Buhler's empirical approximation, and Castellan's series expansion are compared. Saunder's routine was identified as an acceptably accurate method. (PR)
Descriptors: Comparative Analysis, Computer Programs, Correlation, Factor Analysis
Peer reviewed Peer reviewed
Ramsay, J. O. – Psychometrika, 1980
Some aspects of the small sample behavior of maximum likelihood estimates in multidimensional scaling are investigated with Monte Carlo techniques. In particular, the chi square test for dimensionality is examined and a correction for bias is proposed and evaluated. (Author/JKS)
Descriptors: Computer Programs, Goodness of Fit, Maximum Likelihood Statistics, Multidimensional Scaling
Peer reviewed Peer reviewed
Peay, 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 reviewed Peer reviewed
Katz, Jeffrey Owen; Rohlf, F. James – Psychometrika, 1974
Descriptors: Computer Programs, Criteria, Factor Analysis, Factor Structure
Peer reviewed Peer reviewed
Cooper, Lee G. – Psychometrika, 1972
Descriptors: Computer Programs, Goodness of Fit, Mathematical Applications, Multidimensional Scaling
Peer reviewed Peer reviewed
Joreskog, K. G. – Psychometrika, 1971
Considers the study of similarities and differences in factor structures between different groups. (AG)
Descriptors: Computer Programs, Factor Analysis, Goodness of Fit, Hypothesis Testing
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