Contains a solution for the multidimensional scaling of pairwise choice when individuals are represented as dimensional weights. The analysis supplies an exact least squares solution and estimates of group unscalability parameters. (DG)

The degree to which Procrustean Individual Differences Scaling can be extended to related topics such as target analysis is discussed and a Monte Carlo study investigating the fit of the model under various conditions is presented. (JKS)

A survey of online searchers' perceptions of seven database vendors over 13 service-related characteristics resulted in DIALOG being ranked first for all attributes. A statistically significant relationship between overall preference and frequency of use was demonstrated, with reliability, variety, and flexibility the most highly ranked…

This investigation analyzed the diagnostic utility of subtest scores in differentiating between underachieving children and children who were adequately achieving. The use of derived classification equations from group statistics in individual diagnosis led to dramatic levels of misclassification among underachieving students. (Author/CTM)

Describes the American mathematical psychologists' computer-based method of constructing representations of the psychological structure of a set of stimuli on the basis of pairwise measures of similarity on confusability. Psychological structure is represented utilizing multidimensional spatial configurations and nondimensional tree-structures or…

A data analysis model called CANDELINC performs a broad range of multidimensional data analyses. The model allows for the incorporation of general linear constraints. Several examples are presented. (JKS)

Results provide qualified support for the multidimensional approach to life satisfaction and for the independence of each dimension. Problems with activity theory and attendent measures may be responsible for this qualification. (BEF)

The computer program WEIGAN makes the weighted G analysis available for computer users. The input and output of the program are described. (Author/JKS)

An attempt was made to validate for sentence type items a mathematical model for inventory response. Data were gathered from subjects responding under candid and under faking sets. In the former case only limited support for the model was found, but in the latter it seemed highly relevant. (Author/RC)

Provides a nontechnical explanation of the family of multivariate statistical techniques known as multidimensional scaling (MDS). Explains the purpose of MDS, and the advantages of using these techniques in the study of musical perception. Discusses two approaches to the interpretation of MDS solutions. Lists examples of musical studies using MDS.…

Five married couples in counseling and five couples not in counseling rated family members on 25 attribute scales. Analyzed similarities derived from ratings through ordinal Euclidian multidimensional scaling, yielding family structure maps. Maps revealed that counseling subjects saw themselves as less similar to spouses and saw need for spousal…

A reparameterization of the general Euclidean model for the external analysis of preference data and a simple least squares method for fitting the model to metric single stimulus data are discussed. The reformulated model is less general than is the earlier formulation by J. D. Carroll (1972). (SLD)

A sample of 266 undergraduates expressed preferences among 229 occupations. Responses supported inclusion of a prestige component to vocational interest measures. Twenty-four subscales were created for geometrically defined combinations of interest components. Test of this spherical model with 223 college and 370 high school students supported…

A reanalysis of the intercorrelation matrix from a principal components analysis of the Life Styles Inventory was conducted using a Canadian sample. Using nonmetric multidimensional scaling, analyses show an almost perfect circumplex pattern. Results illustrate the inadequacy of factor analytic procedures for the analysis and representation of a…

A weighted Euclidean distance model is proposed that incorporates a latent class approach (CLASCAL). The contribution to the distance function between two stimuli is per dimension weighted identically by all subjects in the same latent class. A model selection strategy is proposed and illustrated. (SLD)