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Hubert, Lawrence J.; Baker, Frank B. – Journal of Educational Statistics, 1977
A statistical technique is proposed for comparing an empirically obtained matrix of the perceived similarity of paired stimuli against a set of distinctive features that supposedly characterize the stimuli on which the matrix is based. The statistical development of the technique and an example are presented. (Author/JKS)
Descriptors: Cues, Hypothesis Testing, Matrices, Nonparametric Statistics

Baker, Frank B. – Journal of Educational Statistics, 1981
The recently developed log-linear model technique for the analysis of contingency tables has many potential applications within educational research. This paper describes the two major models, log-linear and logit-linear, that are employed under this approach. (Author/JKS)
Descriptors: Data Analysis, Goodness of Fit, Nonparametric Statistics, Research Design

Hubert, Lawrence J.; Baker, Frank B. – Multivariate Behavioral Research, 1978
The strategy for investigating convergent and discriminant test validity, known as the multitrait-multimethod matrix, is investigated. A nonparametric significance testing procedure is suggested and demonstrated. (JKS)
Descriptors: Correlation, Hypothesis Testing, Mathematical Models, Matrices

Hubert, Lawrence J.; Baker, Frank B. – Psychometrika, 1978
The problem of comparing two sociometric matrices, as originally discussed by Katz and Powell in the early 1950's, is reconsidered and generalized using a different inference model. In particular, the proposed indices of conformity are justified by a regression argument similar to the one used by Somers. ( Author/JKS)
Descriptors: Goodness of Fit, Hypothesis Testing, Interpersonal Relationship, Mathematical Models

Baker, Frank B.; Hubert, Lawrence J. – Journal of Educational Statistics, 1977
Given a set of dichotomously scored items, ordering theory attempts to identify a hierarchy among those items. A graphic representation is presented for an empirically obtained hierarchy and a testing procedure to evaluate hypothesized hierarchical relationships. (Author/JKS)
Descriptors: Cluster Analysis, Graphs, Hypothesis Testing, Item Analysis