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Peer reviewedDonoghue, Eileen F. – School Science and Mathematics, 1999
Introduces a schema for classifying research in mathematics education that deepens and extends the Romberg/Bourne Model. Employs dual hierarchical systems, one related to the research task and the other to research technique. (Author/CCM)
Descriptors: Classification, Higher Education, Mathematics Education, Matrices
Peer reviewedMcQuitty, Louis L.; Koch, Valerie L. – Educational and Psychological Measurement, 1975
Develops and illustrates a method for clustering hierarchically the interrelationships between many persons, as represented in a matrix of a thousand by a thousand. (RC)
Descriptors: Classification, Cluster Grouping, Matrices, Measurement Techniques
Hubert, Lawrence; Schultz, James – 1975
An empirical assesssment of the space distortion properties of two prototypic hierarchical clustering procedures is given in terms of an occupancy model developed from combinatorics. Using one simple example, the single-link and complete-link clustering strategies now in common use in the behavioral sciences are empirically shown to be space…
Descriptors: Behavioral Sciences, Classification, Cluster Analysis, Cluster Grouping
Peer reviewedHarding, Alan F.; Willett, Peter – Journal of the American Society for Information Science, 1980
Demonstrates that the process of comparing each document in an automated system with all others during the classification procedure may be avoided by the use of an inverted file. (FM)
Descriptors: Automatic Indexing, Classification, Cluster Grouping, Information Retrieval
Peer reviewedZielman, Berrie; Heiser, Willem J. – Psychometrika, 1993
An algorithm based on the majorization theory of J. de Leeuw and W. J. Heiser is presented for fitting the slide-vector model. It views the model as a constrained version of the unfolding model. A three-way variant is proposed, and two examples from market structure analysis are presented. (SLD)
Descriptors: Algorithms, Classification, Equations (Mathematics), Estimation (Mathematics)
Young, Brian – 1993
Either linear or quadratic rules may be used to derive classification equations in discriminant analysis for the purpose of predicting group membership. Generally, the decision about which rule to use is governed by the degree to which the separate group covariance matrices are unequal. An example is presented that supports the superior internal…
Descriptors: Classification, Discriminant Analysis, Equations (Mathematics), Group Membership
Spearing, Debra; Woehlke, Paula – 1989
To assess the effect on discriminant analysis in terms of correct classification into two groups, the following parameters were systematically altered using Monte Carlo techniques: sample sizes; proportions of one group to the other; number of independent variables; and covariance matrices. The pairing of the off diagonals (or covariances) with…
Descriptors: Classification, Correlation, Discriminant Analysis, Matrices
Peer reviewedLevin, Joseph – Multivariate Behavioral Research, 1974
Descriptors: Classification, Correlation, Factor Analysis, Mathematical Models
Schneider, John H. – Drexel Library Quarterly, 1974
Discusses the role of certain types of classifications in a modern automated environment. (Author/PF)
Descriptors: Automatic Indexing, Automation, Classification, Computers
Clark, Ruth Colvin – Performance and Instruction, 1986
Describes Merrill's content performance matrix in terms of content (facts, concepts, processes, procedures, and principles); levels of performance (recall and applying content in job-like context); and instructional methods that support each task on the matrix (information displays and practice exercises). (MBR)
Descriptors: Classification, Concept Teaching, Course Content, Job Training
Tripp, Steven D. – Performance and Instruction, 1992
Discusses skills development and presents a matrix that combines two skills classifications: closed and open skills, and discrete and continuous skills. Examples of each type of skill are given, implications for instructional design are considered, and the creation of a museum of examples of open-skilled products and performances for instructional…
Descriptors: Classification, Industrial Training, Instructional Design, Matrices
Peer reviewedPeay, Edmund R. – Psychometrika, 1975
A class of closely related hierarchical grouping methods are discussed and a procedure which implements them in an integrated fashion is presented. These methods avoid some theoretical anomalies inherent in clustering and provide a framework for viewing partitioning and nonpartitioning grouping. Significant relationships between these methods and…
Descriptors: Classification, Cluster Grouping, Computer Programs, Data Analysis
Peer reviewedHaynes, Jack R. – Educational and Psychological Measurement, 1975
Descriptors: Classification, Comparative Analysis, Factor Analysis, Factor Structure
Peer reviewedLivneh, Hanoch – Journal of Applied Rehabilitation Counseling, 1988
Rehabilitation goals are analyzed from a hierarchical, multifaceted perspective, illustrating reduction of the ultimate goal of life adjustment to smaller goals. Addressed are: the contexts within which rehabilitation takes place, the activity levels defining human performance, and the functional levels achieved. A matrix of 12 sets of goals is…
Descriptors: Adjustment (to Environment), Classification, Disabilities, Matrices
WILLIAMS, J.H., JR. – 1967
CLASSIFICATION OF DOCUMENTS INVOLVES THREE DISTINCT PROCESSES-- (1) DEFINING A STRUCTURE OF CATEGORIES, (2) DETERMINING A BASIS FOR A CLASSIFICATION DECISION, AND (3) CLASSIFYING DOCUMENTS INTO CATEGORIES. OF THE THREE COMPUTER TECHNIQUES ARE DISCUSSED FOR THE LAST TWO. A WORD SELECTION MEASURE IS USED TO DELETE THOSE TERMS IN THE DOCUMENT THAT…
Descriptors: Classification, Correlation, Discriminant Analysis, Information Processing


