Order Analysis is a multidimensional scaling (MDS) technique for determining order among items. This paper reviews articles by different authors describing various components of ordering theory. A common nomenclature is constructed to link together the various ideas and is applied to a fairly simple set of data. Topics discussed include a more…

Many multidimensional item response theory (IRT) models have been proposed. A comparison is made between the so-called full information models and the models that use only pairwise information. Three multidimensional models described are: (1) the compensatory model of R. D. Bock and M. Aitken (1981) using the computer program TESTFACT; (2) a model…

One of the major assumptions of latent trait theory is that the items in a test measure a single dimension. This report describes an investigation of procedures for forming a set of items that meet this assumption. Factor analysis, nonmetric multidimensional scaling, cluster analysis and latent trait analysis were applied to simulated and real…

The question of whether test factor structure is indicative of the test item hierarchy was examined. Data from 1,000 subjects on two sets of five bivalued Law School Admission Test items, which were analyzed with latent trait methods of Bock and Lieberman and of Christoffersson in Psychometrika, were analyzed with an ordering-theoretic method to…

Multidimensional scaling (MDS) was used to derive the dimensions underlying student ratings of instruction. A weighted MDS revealed that departmental affiliation, course structure, and intensity of teaching were particularly salient to the raters. The findings are discussed in light of the current literature on student ratings of instruction.…

Examines the definition of journal coverage overlap in abstracting and indexing services during the past 30 years of research and expands the definition using a matrix of dissimilarity values. Multidimensional scaling analysis is applied to graphically demonstrate this definition and a naive secondary tool selection algorithm is presented. (43…

Summarizes findings from a study that used multidimensional scaling to examine the inherent complexity of vocational aspirations as a measurement construct. Uncovered the perceptual dimensions underlying college students' expressions of vocational aspirations when these aspirations were distinguished as preferences and as expectations.…

The structure of occupational values is investigated using several analytical techniques. Data from the U.S. Department of Labor's Occupational Information Network (O*NET) describing need reinforcers for 900 occupations are examined using exploratory factor analysis, cluster analysis, and multidimensional scaling. Results indicated broadly defined…

The following seven statistical procedures are compared in terms of the ability to recover a unidimensional latent trait from Likert-type data: (1) factor analysis based on Pearson correlations (FA-PR); (2) factor analysis based on polychoric correlations (FA-PL); (3) the graded response model in item response theory (IRT-GRM); (4) internal…

In order to determine the effectiveness of multidimensional scaling (MDS) in recovering the dimensionality of a set of dichotomously-scored items, data were simulated in one, two, and three dimensions for a variety of correlations with the underlying latent trait. Similarity matrices were constructed from these data using three margin-sensitive…

This study replicates and elaborates a three-dimensional, spherical model that integrates research findings concerning social and emotional behavior, psychopathology, and academic competence. Kindergarten teachers completed an extensive set of rating scales on 100 children, including the Classroom Behavior Inventory and the Child Adaptive Behavior…

The psychometric adequacy of three sex role instruments was determined by performing a factor analysis on the items in the Bem Sex Role Inventory, the Personal Attributes Questionnaire, and Heilbrun's Masculinity and Feminity Subscales. Subjects were 400 college students who responded to 116 bipolar items from the three instruments. The eleven…

Any theory of information processing must address both what is processed and how that processing takes place. Most studies investigating variables which alter physical dimension utilization have ignored the large individual differences in selective attention or cue utilization. A paradigm was developed using an individual focus on information…

Describes a new approach for analyzing an individual's responses made at multiple times. Proposes that three sources of variance determine a person's current standing on a variable: trait (term does not change), state (term changes), and error (random term). Shows how structural equation modeling can be used and presents an extended example. (RJM)

Little is known about environmental concerns and attitudes among people in former Soviet bloc countries in Eastern Europe despite widespread perceptions of severe environmental problems. The authors addressed this gap by examining Bulgarians' environmental concerns with a focus on whether the new environmental paradigm (NEP) scale can reliably…