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Kruskal, Joseph B.; Shepard, Roger N. – Psychometrika, 1974
Descriptors: Comparative Analysis, Computer Programs, Factor Analysis, Matrices
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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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Frederiksen, Carl H. – Psychometrika, 1974
Descriptors: Analysis of Covariance, Computer Programs, Factor Analysis, Factor Structure
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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
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Bartholomew, R. B.; Podio, A. L. – Journal of Research in Science Teaching, 1978
There are two major points to this study. First, not all modeling protocals are equally effective in changing the investigative teaching behavior of teachers. Second, three-dimensional representation used in interpreting verbal interaction matrices should not replace the procedures of conventional analysis of such matrices. (Author/MA)
Descriptors: Behavior Change, Computer Programs, Educational Research, Interaction Process Analysis
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Christoffersson, Anders – Psychometrika, 1975
An approach for multiple factor analysis of dichotomized variables is presented based on distribution of first and second order joint probabilities of binary scored items. The estimator is based on the generalized least squares principle. Standard errors and a test of the fit of the model is given. (Author/RC)
Descriptors: Analysis of Covariance, Computer Programs, Correlation, Factor Analysis
Keller, Edward L. – 1980
This unit, which looks at applications of linear algebra to population studies, is designed to help pupils: (1) understand an application of matrix algebra to the study of populations; (2) see how knowledge of eigen values and eigen vectors is useful in studying powers of matrices; and (3) be briefly exposed to some difficult but interesting…
Descriptors: College Mathematics, Computer Programs, Higher Education, Instructional Materials