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)

Quantitative and qualitative measures of patient satisfaction with psychiatric outpatient services were compared in interviews with 263 outpatients. Results indicate that expressions of dissatisfaction appear mainly in open-ended questions. Focus on the questions and acceptability of the data gathering procedure appears to influence responses…

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…

A method of factor extraction specific to a binary matrix, illustrated here as a person-by-item response matrix, is presented. The extraction procedure, termed ERGO, differs from the more commonly implemented dimensionalizing techniques, factor analysis and multidimensional scaling, by taking into consideration item difficulty. Utilized in the…

This special issues describes multidimensional scaling (MDS), with emphasis on proximity and preference models. An introduction and six papers review statistical developments in MDS study design and scrutinize MDS research in four areas of application (consumer, social, cognitive, and vocational psychology). (SLD)

Discusses the different strategies employed by three practical nonmetric multidimensional scaling algorithms using Monte Carlo techniques. (Author/RK)

In a series of three independent studies that focused on the classic sources of curriculum (the learner, society, and subject matter), data were gathered that might bear on the choices facing the curriculum developer. Learner data tentatively revealed what characteristics of pictures affected the deployment of third-grade children's visual…

Describes multidimensional scaling and cluster analysis and the type of problems they can help solve. Cites major literature sources concerning their use. Reviews applications of these methods in rehabilitation research. Discusses possible advantages of nonmetric data-reduction techniques over metric approaches, such as factor analysis. (Author)

Data from three subtests (language, mathematics, and social) scales of the Head Start Measures Battery (HSMB) were analyzed using principal components analysis (PCA) and non-metric multidimensional scaling (MDS). The HSMB measures preschool development in language, mathematics, nature and science, perception, reading, and social development. The…

It is believed by some that most tests are multidimensional, meaning that they measure more than one underlying construct. The primary objective of this study is to illustrate how variations in the secondary ability distribution affect the statistical detection of dimensionality and to demonstrate the difference between substantive and statistical…

The effects of varying degrees of correlation between abilities and of various correlation configurations between item parameters on ability and item parameter estimation using the three parameter logistic model were examined. Ten two-trait configurations and one unidimensional test configuration for 30 item tests were simulated. Each…

Marital satisfaction, involving 150 couples selected at-large and 40 couples in therapy, was investigated in two studies. An initial focus was the development of a 280-item Marital Satisfaction Inventory (MSI) including one validity scale, one global affective scale, and nine additional scales focusing on specific areas of marital interaction.…

Results provide a first step toward the establishment of guidelines for the experimenter who wishes to use nonmetric multidimensional scaling effectively, especially when an underlying configuration is hypothesized. (Author)

A copy of the computer program, which determines the transformation matrix used to rotate the configuration, the dilation factor, and the translation vector, is available from the first author. (CB)

Using a multidimensional scaling procedure, this study examined the fit of Holland's RIASEC hexagon model to the internal relationships among the Strong-Campbell Interest Inventory (SCII) General Occupational Theme scales. SCII intercorrelation matrices for both sexes as reported in the SCII Manual were submitted, separately for each sex, to…