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Johnson, Richard M. – Psychometrika, 1975
A simple method of monotone regression is described based on the principle of minimizing pairwise departures from monotonicity. (Author)
Descriptors: Analysis of Variance, Goodness of Fit, Matrices, Measurement Techniques
Peer reviewed Peer reviewed
Rule, Stanley J. – Psychometrika, 1979
A method to provide estimates of parameters of specified nonlinear equations from ordinal data generated from a crossed design is presented. The statistical basis for the method, called NOPE (nonmetric parameter estimation), as well as examples using artifical data, are presented. (Author/JKS)
Descriptors: Analysis of Variance, Goodness of Fit, Multidimensional Scaling, Multiple Regression Analysis
Peer reviewed Peer reviewed
Tenenhaus, Michel – Psychometrika, 1988
Canonical analysis of two convex polyhedral cones involves looking for two vectors whose square cosine is a maximum. New results about the properties of the optimal solution to this problem are presented. The convergence of an alternating least squares algorithm and properties of limits of calculated sequences are discussed. (SLD)
Descriptors: Algorithms, Analysis of Variance, Graphs, Least Squares Statistics
Peer reviewed Peer reviewed
Drosler, Jan – Psychometrika, 1978
A method for incorporating decline over time of the predictive validity of scores into mental test theory is presented. The procedure utilizes concepts from multiple regression and analysis of repeated measures. (JKS)
Descriptors: Analysis of Variance, Multiple Regression Analysis, Predictive Validity, Psychometrics