Descriptor
Source
Author
Publication Type
| Reports - Research | 47 |
| Journal Articles | 39 |
| Speeches/Meeting Papers | 16 |
| Reports - Evaluative | 12 |
| Information Analyses | 5 |
| Reports - Descriptive | 2 |
| Guides - Non-Classroom | 1 |
| Numerical/Quantitative Data | 1 |
| Reports - General | 1 |
Education Level
Audience
| Researchers | 5 |
| Practitioners | 2 |
| Media Staff | 1 |
| Teachers | 1 |
Laws, Policies, & Programs
| Elementary and Secondary… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedShepard, Roger N. – Science, 1980
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…
Descriptors: Cluster Analysis, Computer Programs, Illustrations, Multidimensional Scaling
Peer reviewedNoma, Elliot; Smith, D. Randall – Multivariate Behavioral Research, 1985
Correspondence analysis can provide spatial or clustering representations by assigning spatial coordinates minimizing the distance between individuals linked by a sociometric relationship. These scales may then be used to identify individuals' locations in a multidimensional representation of a group's structure or to reorder the rows and columns…
Descriptors: Cluster Analysis, Goodness of Fit, Matrices, Multidimensional Scaling
Peer reviewedRoss, Nancy C. M.; Wolfram, Dietmar – Journal of the American Society for Information Science, 2000
Analyzed queries submitted to the Excite search engine for subject content based on the cooccurrence of terms within multiterm queries; categorized the most frequently cooccurring term pairs into subject areas; used hierarchical cluster analysis and multidimensional scaling to tally subject area frequencies; and discusses implications for Internet…
Descriptors: Cluster Analysis, Internet, Multidimensional Scaling, Online Searching
McGrath, William E.; Hickey, Thomas B. – 1983
This report describes the multidimensional scaling (MDS) method for interpreting collection overlap based on the number of books held by pairs of libraries in large groups (as many as 100 libraries or more). MDS results for four groups of libraries sampled from the OCLC database are also presented. MDS is described as a class of data-analytic or…
Descriptors: Cluster Analysis, Databases, Library Acquisition, Library Collections
Reckase, Mark D. – 1981
The purpose of this paper is to examine the capabilities of various procedures for sorting dichotomously-scored items into unidimensional subjects. The procedures include: factor analysis, nonmetric multidimensional scaling, cluster analysis, and latent trait analysis. Both simulated and real data sets of known structure were used to evaluate the…
Descriptors: Cluster Analysis, Factor Analysis, Guessing (Tests), Latent Trait Theory
PDF pending restorationMiller, Brent C.; Olson, David H. – 1976
The present study focuses on multiple dimensions of face-to-face marriage interaction as the basis for identifying patterns or "types" of couple relating. The research assumes that it is possible to classify marriage relationships by criteria which are objective enough to allow replication and concensus. Particular emphasis is placed on the…
Descriptors: Classification, Cluster Analysis, Data Analysis, Interaction Process Analysis
Peer reviewedNussbaum, Nancy L.; And Others – Journal of Research and Development in Education, 1986
The relationship between personality traits of learning disabled children and their neuropsychological performance were examined in this study. Intellectual, academic, and neuropsychological measures were used to derive three subgroups. Personality and behavioral data were used to identify four dimensions, which are discussed in terms of…
Descriptors: Children, Cluster Analysis, Elementary Education, Learning Disabilities
Peer reviewedNoma, Elliot – Journal of the American Society for Information Science, 1984
Argues that co-citation methods combine citing behavior of authors by assuming they share common view of scientific literature which affects assessments of dimensionality and clustering of articles. Co-citation matrices, effects of shared point-of-view assumption, and co-citation compared with bibliographic coupling and centroid scaling are…
Descriptors: Bibliographic Coupling, Citations (References), Cluster Analysis, Cluster Grouping
Peer reviewedMcCain, Katherine W. – Journal of the American Society for Information Science, 1984
Author cocitation analysis was used to investigate changes in intellectual structure of macroeconomics over two consecutive time periods, 1972-1977 and 1978-1983. Profile analysis, nonmetric multidimensional scaling, and clustering techniques were used to create two-dimensional maps displaying changing relationships among 41 authors as perceived…
Descriptors: Authors, Citations (References), Cluster Analysis, Cluster Grouping
Peer reviewedLeitzman, David F.; And Others – Instructional Science, 1980
Reports research that utilized multidimensional scaling and related analytic procedures to validate the curricular goals of a graduate therapeutic recreation program. Data analysis includes the use of the two-dimensional KYST and PREFMAP spaces. (Author/JD)
Descriptors: Cluster Analysis, Curriculum Design, Curriculum Development, Evaluation Methods
Morris, Theodore Allan – Proceedings of the ASIST Annual Meeting, 2002
Uses co-occurrence analysis of INSPEC classification codes and thesaurus terms assigned to medical informatics (biomedical information) journal articles and proceedings papers to reveal a more complete perspective of how information science and information technology (IS/IT) authors view medical informatics. Discusses results of cluster analysis…
Descriptors: Biomedicine, Classification, Cluster Analysis, Information Science
Koch, William R. – 1983
The technique of nonmetric multidimensional scaling (MDS) was applied to real item response data obtained from a multiple-choice achievement test of unknown dimensionality. The goal was to classify the 50 items into the various subtests from which they were drawn originally, the latter being unknown to the investigator. Issues addressed in the…
Descriptors: Achievement Tests, Cluster Analysis, Latent Trait Theory, Multidimensional Scaling
Peer reviewedShepard, Roger N. – Psychometrika, 1974
Six major problems confronting attempts to use nonmetric multidimensional scaling to represent structures underlying similarity data are identified and the author's prospects for over-coming each of these problems are presented. (RC)
Descriptors: Cluster Analysis, Comparative Analysis, Data Analysis, Goodness of Fit
PDF pending restorationRudnitsky, Alan N. – 1977
Three approaches to the graphic representation of similarity and dissimilarity matrices are compared and contrasted. Specifically, Kruskal's multidimensional scaling, Johnson's hierarchical clustering, and Waern's graphing techniques are employed to depict, in two dimensions, data representing the structure of a set of botanical concepts. Each of…
Descriptors: Botany, Cluster Analysis, Cluster Grouping, Comparative Analysis
Peer reviewedHopper, Robert; Bell, Robert A. – Quarterly Journal of Speech, 1984
Argues for a broader conceptualization of deception, one that may lead to a fuller understanding of the phenomenon. Explores the concept by examining students' reaction to words denoting various aspects of deception. Concludes that deceptive communication involves a broad network of concepts and implies more than just lying. (PD)
Descriptors: Cluster Analysis, College Students, Communication (Thought Transfer), Communication Research


