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ten Berge, Jos M. F. – Multivariate Behavioral Research, 1996
H. F. Kaiser, S. Hunka, and J. Bianchini have presented a method (1971) to compare two matrices of factor loadings based on the same variables, but different groups of individuals. The optimal rotation involved is examined from a mathematical point of view, and the method is shown to be invalid. (SLD)
Descriptors: Comparative Analysis, Factor Structure, Groups, Matrices
Peer reviewed Peer reviewed
Gleason, Terry C.; Staelin, Richard – Psychometrika, 1975
Presents a new approach for estimating missing observations together with the results of a Monte Carlo study of the relative strengths and weaknesses of this technique and three other available methods. These techniques are then examined with respect to their ability to use incomplete data to estimate the correlation matrix obtained using a full…
Descriptors: Comparative Analysis, Correlation, Data Analysis, Matrices
Peer reviewed Peer reviewed
Shepard, Roger N. – Psychometrika, 1974
Six major problems confronting attempts to use nonmetric multidimensional scaling to represent structures underlying similarity data are identified and the author's prospects for over-coming each of these problems are presented. (RC)
Descriptors: Cluster Analysis, Comparative Analysis, Data Analysis, Goodness of Fit
Cooper, Ernest C. – 1990
For a number of years, the California community colleges have used data from annual statewide surveys conducted by the Kern Community College District and the California Community College Trustees (CCCT) for comparative faculty salary information. Both the Kern and CCCT studies rely upon the device of selecting benchmark points (such as the…
Descriptors: College Faculty, Community Colleges, Comparative Analysis, Computer Oriented Programs