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Subkoviak, Michael J. – 1973
When Torgerson's multidimensional scaling model is used in conjunction with the method of tetrads, derived coordinates are based on data which is assumed to be distributed normally. The object of this study was to determine the amount of error contained in derived coordinates when the normality assumption is violated. Torgerson coordinates were…
Descriptors: Comparative Analysis, Correlation, Error Patterns, Models
Peer reviewed Peer reviewed
Nishisato, Shizuhiko – Psychometrika, 1978
An alternative formulation for Guttman scaling is presented. The new formulation is described, and advantages over Guttman's formulation are detailed. The method is assumption-free and capable of multidimensional analysis. (Author/JKS)
Descriptors: Individual Differences, Mathematical Models, Measurement Techniques, Multidimensional Scaling
Peer reviewed Peer reviewed
Arabie, Phipps – Psychometrika, 1978
An examination is made concerning the utility and design of studies comparing nonmetric multidimensional scaling algorithms and their initial configurations, as well as the agreement between the results of such studies. Various practical details of nonmetric scaling are also considered. (Author/JKS)
Descriptors: Correlation, Goodness of Fit, Matrices, Monte Carlo Methods
Peer reviewed Peer reviewed
Spence, Ian; Young, Forrest W. – Psychometrika, 1978
Several nonmetric multidimensional scaling random ranking studies are discussed in response to the preceding article (TM 503 490). The choice of a starting configuration is discussed and the use of principal component analysis in obtaining such a configuration is recommended over a randomly chosen one. (JKS)
Descriptors: Correlation, Factor Analysis, Goodness of Fit, Matrices
Peer reviewed Peer reviewed
Redelheim, Paul S. – Reading Teacher, 1976
Descriptors: Elementary Education, Multidimensional Scaling, Reading Research, Reading Tests
Peer reviewed Peer reviewed
Garling, Tommy – Environment and Behavior, 1976
In order to perform structural analysis of environmental perception and cognition, multidimensional scaling based on similarity and preference ratings were compared to the semantic differential technique in a study employing perspective drawings of urban and suburban views sampled from a medium-sized Swedish city. (BT)
Descriptors: Behavior, Cognitive Processes, Environment, Evaluation Methods
Streveler, Ruth A.; Miller, Ronald L.; Boyd, Thomas M. – 2001
In this study, multidimensional scaling (MDS) was used to measure how 23 chemical engineering seniors categorized key design terms at the beginning and end of a capstone design course. An on-line method was developed to collect the MDS data. The results suggest that some important design concepts were not well understood, even at the end of the…
Descriptors: College Seniors, Design, Engineering, Higher Education
Neumann, Craig S.; Shafer, Michael E.; Kaminski, Patricia L.; Ramos, Vincent – 2002
Although investigators have developed valid and reliable multidimensional scales for assessing self-concept, little research has examined the potential associations between internalizing and externalizing disorders in children and adolescents with the multiple dimensions of self-concept. The authors hypothesized that specific dimensions of…
Descriptors: Adolescents, Behavior Problems, Children, Hispanic Americans
Peer reviewed Peer reviewed
Schonemann, Peter H. – Psychometrika, 1972
Paper shows that an obvious generalization of the subjective metrics model by Bloxom, Horan, Carroll and Chang has a very simple algebraic solution which was previously considered by Meredith in a different context. (Author)
Descriptors: Algebra, Analytic Geometry, Mathematical Models, Measurement Techniques
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Holman, Eric W. – Psychometrika, 1972
Two models for psychological distances, the hierarchical clustering model and the multidimensional Euclidean model, are compared to see how they relate to each other. (Author/RK)
Descriptors: Geometric Concepts, Mathematical Applications, Mathematical Models, Multidimensional Scaling
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Bloxom, Bruce – Psychometrika, 1972
Paper develops a model which expresses pair comparisons as a function of (a) affective values which form a perfect simplex, (b) systematic (constant over replications) deviations from the simplex-structured affective values, and (c) errors of measurement for the pair comparisons. (Author)
Descriptors: Analysis of Covariance, Factor Structure, Goodness of Fit, Mathematical Models
Peer reviewed Peer reviewed
Wainer, Howard; Berg, William – American Educational Research Journal, 1972
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)
Descriptors: College Students, Data Analysis, Literary Discrimination, Literature
Peer reviewed Peer reviewed
Denison, Daniel R. – Multivariate Behavioral Research, 1982
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)
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Models, Multidimensional Scaling
Peer reviewed Peer reviewed
Blackburn, Richard S. – Journal of Management, 1982
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)
Descriptors: Multidimensional Scaling, Organizational Development, Organizational Theories, Research Methodology
Peer reviewed Peer reviewed
Weeks, David G.; Bentler, P.M. – Psychometrika, 1982
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)
Descriptors: Bibliographic Coupling, Data Analysis, Mathematical Models, Matrices
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