Cliff's Index "c" derived from an item dominance matrix is utilized in a clustering approach, termed extracting Reliable Guttman Orders (ERGO), to isolate Guttman-type item hierarchies. A comparison of factor analysis to the ERGO is made on social distance data involving multiple ethnic groups. (Author/BW)

More than one correlation coefficient can be computed between two variables when the data can be organized into subsets determined by one of more grouping factors. Implications of this fact are discussed when the variables are items and the correlations are being computed for purposes of scale development. (Author/

A study of bullying, victimisation and the coping strategies employed to tackle it is presented in the first study of bullying in the workplace conducted in Iceland. Participants were 398 members of a union of store and office workers and members of a national organisation of bank-employees. A factor analysis of bullying items identified two…

This article describes the development and psychometric assessment of a multidimensional, domain-specific Career Locus of Control Scale (CLOC) designed for use with adolescent school pupils engaged in the career development and decision-making process. A 47-item version was administered to 743 school pupils, age 15 or 16 years evenly split between…

The usefulness of L. Guttman's partial order scalogram analysis is investigated in this study of the structure of a set of items that measure attitudes toward legal abortion. These items, drawn from the National Opinion Research Center's "General Social Survey," have been the focus of considerable applied research investigating…

Reports an exploratory study designed to describe the development of the scales, investigate concerns regarding student perceptions of a large university, and examine in a standard research situation the viability of a new method of multidimensional analysis (order analysis, proposed as an inferential alternative to factor analysis). (JT)

The Endler S-R Inventory of General Trait Anxiousness was analyzed employing Smallest Space Analysis (SSA) and factor analysis. The SSA yielded a two-dimensional lattice partitioning the space into regions corresponding to the situations specified in the inventory. The factor-analytic results were similar but not as informative. (Author/JAZ)

The interdistances between thirteen places situated in different parts of the world were estimated by 60 subjects. The estimates were analysed by Kruskal's multidimensional technique and, after a cosine transformation, by factor analysis. (Author)

A 21-item scale combining and modifying an environmental paradigm and a social paradigm was used in 2 surveys. This paper compares attitudinal dimensions resulting from factor analysis. Similarities in terms of relationships between scores on the scale and preferences for energy-related options were also assessed. (Author/CW)

This paper presents a new stochastic multidimensional scaling vector threshold model designed to analyze "pick any/n" choice data. A maximum likelihood procedure is formulated to estimate a joint space of both individuals and stimuli. The non-linear probit type model is described, and a Monte Carlo analysis is performed. (TJH)

The Self Description Questionnaire II (SDQ II) was administered to 901 students (11 to 18 years old) in grades 7 through 12 who attended one public coeducational high school. The 11 factors the SDQ II was designed to measure were clearly identified in a conventional/exploratory factor analysis and in a confirmatory factor analysis using LISREL.…

The usefulness of the general Rasch model for multidimensional data, from the most simple formulations to the more complex versions of the model, is explored. Also investigated was whether the parameters of the models could be readily interpreted. Models investigated included: (1) the vector model; (2) the product term model; (3) the vector and…

Evaluation of attributes of a subcompact car were combined in linear regressions predicting liking and purchase intention. Of two forms--raw scales and scales weighted by the importance attached to each attribute by each subject--unweighted evaluations proved more consistent and important predictors than those weighted by their saliency. (Author)

This paper reviews a variety of analytic procedures that can be applied to network data, discussing the assumptions and usefulness of each procedure when applied to the complexity of human communication. Special attention is paid to the network properties measured or implied by each procedure. Factor analysis and multidimensional scaling are among…

Concerned with another form of analysis of m sets of matrices, the Procrustes idea is generalized so that all m sets are simultaneously translated, rotated, reflected and scaled so that a goodness of fit criterion is optimised. A computational technique is given, results of which can be summarized in analysis of variance form. (RC)