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Buri, Olga Elizabeth Minchala; Stefos, Efstathios – International Education Studies, 2017
The objective of this study is to examine the social profile of students who are enrolled in Basic General Education in Ecuador. Both a descriptive and multidimensional statistical analysis was carried out based on the data provided by the National Survey of Employment, Unemployment and Underemployment in 2015. The descriptive analysis shows the…
Descriptors: Foreign Countries, Profiles, Data Analysis, General Education
Parpala, Anna; Lindblom-Ylanne, Sari; Rytkonen, Henna – Assessment & Evaluation in Higher Education, 2011
This paper explores students' conceptions of good teaching in three different disciplines. Moreover, the aim is to explore the relation between these conceptions and students' approaches to learning by combining qualitative and quantitative methods. A total of 695 students from the Faculties of Behavioural Sciences, Law and Veterinary Medicine…
Descriptors: Student Evaluation, Student Attitudes, Veterinary Medicine, Content Analysis

Tzeng, Oliver C. S.; May, William H. – Educational and Psychological Measurement, 1979
A strategy for reordering the hierarchical tree structure is presented. While the order of terminal nodes of Johnson's procedure is arbitrary, this procedure will rearrange every triad of nodes under a common least upper node so that the middle node is nonarbitrarily closest to the anchored node. (Author/CTM)
Descriptors: Cluster Analysis, Cluster Grouping, Matrices, Multidimensional Scaling

Roussos, Louis A.; Stout, William F.; Marden, John I. – Journal of Educational Measurement, 1998
Introduces a new approach for partitioning test items into dimensionally distinct item clusters. The core of this approach is a new item-pair conditional-covariance-based proximity measure that can be used with hierarchical cluster analysis. The procedure can correctly classify, on average, over 90% of the items for correlations as high as 0.9.…
Descriptors: Cluster Analysis, Cluster Grouping, Correlation, Multidimensional Scaling
Morris, Theodore Allan – Proceedings of the ASIS Annual Meeting, 2000
Examines the structure of medical informatics and the relationship between biomedicine and information science and information technology. Uses co-occurrence analysis of subject headings assigned to items indexed for MEDLINE as well as multidimensional scaling to show seven to eight broad multidisciplinary subject clusters. (Contains 28…
Descriptors: Biomedicine, Cluster Grouping, Indexing, Information Science

Meulman, Jacqueline J.; Verboon, Peter – Psychometrika, 1993
Points of view analysis, as a way to deal with individual differences in multidimensional scaling, was largely supplanted by the weighted Euclidean model. It is argued that the approach deserves new attention, especially as a technique to analyze group differences. A streamlined and integrated process is proposed. (SLD)
Descriptors: Cluster Grouping, Equations (Mathematics), Graphs, Groups

Bayer, Alan E.; And Others – Journal of the American Society for Information Science, 1990
Discusses the intellectual structure of the sciences and describes a study that was conducted to test the usefulness of author cocitation analysis for empirically deriving groupings of intellectual leaders in the field of sociology. Results are contrasted with traditional subjective methods of codification of a field. (35 references) (LRW)
Descriptors: Authors, Citation Analysis, Cluster Grouping, Codification

Noma, 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

McCain, 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

Miyamoto, S.; Nakayama, K. – Journal of the American Society for Information Science, 1983
A method of two-stage clustering of literature based on citation frequency is applied to 5,065 articles from 57 journals in environmental and civil engineering. Results of related methods of citation analysis (hierarchical graph, clustering of journals, multidimensional scaling) applied to same set of articles are compared. Ten references are…
Descriptors: Algorithms, Citations (References), Civil Engineering, Cluster Analysis

He, Yulan; Hui, Siu Cheung – Information Processing & Management, 2002
Proposes a mining process to automate author co-citation analysis based on the Web Citation Database, a data warehouse for storing citation indices of Web publications. Describes the use of agglomerative hierarchical clustering for author clustering and multidimensional scaling for displaying author cluster maps, and explains PubSearch, a…
Descriptors: Authors, Citation Analysis, Citation Indexes, Citations (References)
Gierl, Mark J.; Leighton, Jacqueline P.; Tan, Xuan – Journal of Educational Measurement, 2006
DETECT, the acronym for Dimensionality Evaluation To Enumerate Contributing Traits, is an innovative and relatively new nonparametric dimensionality assessment procedure used to identify mutually exclusive, dimensionally homogeneous clusters of items using a genetic algorithm ( Zhang & Stout, 1999). Because the clusters of items are mutually…
Descriptors: Program Evaluation, Cluster Grouping, Evaluation Methods, Multivariate Analysis

McGrath, William E. – Journal of Academic Librarianship, 1986
Discusses the issue of centralization or decentralization of academic library collections, and describes a statistical analysis of book circulation at the University of Southwestern Louisiana that yielded subject area clusters as a compromise solution to the problem. Applications of the cluster model for all types of library catalogs are…
Descriptors: Academic Libraries, Centralization, Cluster Analysis, Cluster Grouping
Brown, Jason D. – Journal of Offender Rehabilitation, 2004
The purpose of the study was to describe the needs of newly released Canadian federal offenders as perceived by community parole supervisors. Seventy-four Canadian parole supervisors were asked to answer the following question: "What challenges do parolees face in the first 90 days after release?" The data were analyzed using…
Descriptors: Concept Mapping, Multidimensional Scaling, Foreign Countries, Federal Programs