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Blashfield, Roger – 1975
This paper briefly summarizes the characteristics of 14 of the currently most popular computer pragrams for cluster analysis. Also provided is a subjective ranking of the programs in terms of their versatility and usability. (Author)
Descriptors: Classification, Cluster Analysis, Computer Programs, Programing Languages
CASE, C. MARSTON – 1966
THIS NOTE IS CONCERNED WITH IDEAS AND PROBLEMS INVOLVED IN CROSS-CLASSIFICATION OF OBSERVATIONS ON A GIVEN POPULATION, ESPECIALLY TWO-DIMENSIONAL CROSS-CLASSIFICATIONS. MAIN OBJECTIVES OF THE NOTE INCLUDE--(1) ESTABLISHMENT OF A CONCEPTUAL FRAMEWORK FOR CHARACTERIZATION AND COMPARISON OF CROSS-CLASSIFICATIONS, (2) DISCUSSION OF EXISTING METHODS…
Descriptors: Charts, Classification, Models, Probability
Doyle, L. B. – 1966
A low-cost automatic classification method is reported that uses computer time in proportion to NlogN, where N is the number of information items and the base is a parameter, some barriers besides cost are treated briefly in the opening section, including types of intellectual resistance to the idea of doing classification by content-word…
Descriptors: Automation, Classification, Computers, Content Analysis
Lufkin, Richard C. – 1968
This report describes a quantitative study of subject-indexing as it is being performed by catalogers who are developing an augmented catalog as part of Project Intrex. Learning curves for the average time taken to index technical documents on a per-page basis were derived for a group of indexers. The average indexing times per page were also…
Descriptors: Cataloging, Classification, Indexing, Performance Factors
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Halff, Henry M. – 1975
Graphical methods for evaluating the fit of Johnson's hierarchical clustering schemes are presented together with an example. These evaluation methods examine the extent to which the clustering algorithm can minimize the overlap of the distributions of intracluster and intercluster distances. (Author)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Graphs
Peer reviewed Peer reviewed
Huberty, Carl J. – Review of Educational Research, 1975
The process of discriminant analysis is reviewed in four different aspects: focusing on formulations, interpretations, and uses of discrimination, estimation and classification. Other issues, problems, and recent developments in discriminant analysis are also reviewed. (Author/DEP)
Descriptors: Classification, Discriminant Analysis, Literature Reviews, Research Methodology
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Henschke, C. I.; Chen, M. M. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Classification, Cluster Grouping, Multiple Regression Analysis, Selection
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Overall, John E. – Educational and Psychological Measurement, 1973
In the present investigation, the MMPI profile classification program was used to compare the representatives'' of three different sets of diagnostic prototypes. (Author)
Descriptors: Classification, Individual Characteristics, Personality Assessment, Statistical Analysis
McQuitty, Louis L. – Educ Psychol Meas, 1970
A method is described for bifurcating a matrix of objects into two submatrices such that the sum of average deviations of the members from the central tendencies of the two submatrices is minimized. Illustrations of the procedure are included. (DG)
Descriptors: Classification, Cluster Grouping, Groups, Organization
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Tomizawa, Sadao – Journal of Educational and Behavioral Statistics, 1995
An extended marginal homogeneity model is introduced for the analysis of square contingency tables with the same ordinal row and column classifications. The model hypothesizes that the ratio in each column of table delta will exhibit an exponential function of the column. (SLD)
Descriptors: Classification, Equations (Mathematics), Mathematical Models, Statistical Analysis
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Henderson, Stacey; Skelton, Heather; Rosenbaum, Peter – Developmental Medicine & Child Neurology, 2008
Functional impairments can limit a child's ability to participate in the experiences of childhood. This "deprivation" can, in turn, have a negative effect on such children's development, academic performance, and quality of life, as well as on the lives of their caregivers and families. Many adults use assistive devices to overcome functional…
Descriptors: Quality of Life, Caregivers, Statistical Analysis, Assistive Technology
Johnson, Lynda – ProQuest LLC, 2010
No Child Left Behind (NCLB) legislation and public pressure to prepare students for the twenty-first century has put increasing demands on schools to improve student performance. This action research study examined the efforts of an elementary school principal and her third and fourth grade teachers to improve students' performance in math. The…
Descriptors: Quasiexperimental Design, Intervention, Teacher Evaluation, Action Research
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Lienert, G. A.; Krauth, J. – Educational and Psychological Measurement, 1975
Configural frequency analysis (CFA), a new method for identifying types, is illustrated numerically. Relations to latent class analysis and to factor analysis are discussed. It is suggested to use CFA as a type-defining method instead of factor analysis if the variables are linked not only by first but also by higher-order associations. (RC)
Descriptors: Classification, Factor Analysis, Hypothesis Testing, Mathematical Models
Jamison, Wesley – 1980
The richness of the information available in cross-classification tables, compared to the information conveyed in the typical correlation coefficient, is emphasized in this paper. The kinds of information to be found in cross-classification tables are described, and several examples of the use of cross-classification patterns in research are…
Descriptors: Behavior Patterns, Classification, Correlation, Development
Dubin, Robert; Champoux, Joseph E. – 1970
Dissimilarity Linkage Analysis (DLA) is an extremely simple procedure for developing a typology from empirical attributes that permits the clustering of entities. First the procedure develops a taxonomy of types from empirical attributes possessed by entities in the sample. Second, the procedure assigns entities to one, and only one, type in the…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Matched Groups
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