Authors show how the use of modern multidimensional scaling techniques, which have long been employed in the behavioral sciences for the measurement of subjective values, can be profitably applied to the study of the latent structure of students' perceptions of literature. (Authors/CB)

Structural equation modeling is applied in conjunction with constrained monotone distance analysis. These alternative methods are used in an evaluation of a social-psychological model derived from Likert's theory of organizational behavior. (Author/JKS)

Multidimensional Scaling (MDS) is proposed as a viable research methodology for use by organizational scientists. Presents a brief description of the method and discusses past uses of the methodology. Describes possible uses for MDS in the areas of construct development and schema recovery. (Author)

Restricted multidimensional scaling models, allowing constraints on parameters, are extended to the case of asymmetric data. Examples of several models are provided, using journal citation data. Possible extensions of the models are considered. (Author/JKS)

A review of existing techniques for the analysis of three-way data revealed that none were appropriate to the wide variety of data usually encountered in psychological research, and few were capable of both isolating common information and systematically describing individual differences. Such a model is developed and evaluated. (Author/JKS)

A new method to estimate the parameters of Tucker's three mode principal component model is discussed, and the convergence properties of the alternating least squares algorithm to solve the estimation problem are considered. An example is presented. (Author/JKS)

In studies involving judgments of similarity or dissimilarity, a variety of other variables may also be measured. In such cases, there are important advantages to joint analyses of the dissimilarity and collateral variables. A variety of models are described for relating these and algorithms are described for fitting these to data. (Author/JKS)

A new computing algorithm, MAPCLUS (Mathematical Programming Clustering), for fitting the Shephard-Arabie ADCLUS (Additive Clustering) model is presented. Details and benefits of the algorithm are discussed. (Author/JKS)

Two revisions of computer-interactive multidimensional scaling data selection procedures are presented. One revision--based on randomly ordering the list of stimuli--improves the estimates of the multidimensional scaling parameters and the other permits more efficient data designs. (Author/JKS)

Examines fit of the correlations among the SCII General Occupational Theme scales to Holland's RIASEC hexagon model. Results suggest the SCII General Occupational Themes may be interpreted in the context of Holland's hexagon model for males but that further study is needed to support the scales for females. (Author)

Multidimensional scaling and factor analysis were applied to Rest's objective test of Kohlbergian moral development. The responses of 160 junior high, senior high, college undergraduate, and graduate students were analyzed in order to investigate whether stage and item scores displayed a hierarchial sequential structure. (Author/SS)

Three different methods of data collection were examined in which subjects judged proximity between object pairs. Significant differences in accuracy were found among the three methods, presumably due to differences in the extent to which subjects are able to describe their perceptions under the various methods. (Author/RC)

A method for multidimensional scaling that is highly resistant to the effects of outliers is described. Some Monte Carlo simulations illustrate the efficacy of the procedure, which performs well with or without outliers. (SLD)

Ideal point discriminant analysis (IPDA) is proposed for the analysis of contingency tables of cross-classified data. Several data sets illustrate IPDA, which combines log-linear and dual scaling models to provide a spatial representation of row and column categories and allow statistical evaluation of various structural hypotheses about…

A numerical taxonomy of evaluation theory and practice is presented, based on responses by 14 leading evaluators to a two-page questionnaire. A multidimensional scaling analysis of results indicated that differences between evaluation theories are more complex and more divisive than are differences in evaluation practice. (TJH)