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Showing 1 to 15 of 16 results Save | Export
Popkewitz, Thomas S., Ed.; Pettersson, Daniel, Ed.; Hsiao, Kai-Jung, Ed. – Routledge Research in International and Comparative Education, 2020
The book brings together contributions from curriculum history, cultural studies, visual cultures, and science and technology studies to explore the international mobilizations of the sciences related to education during the post-World War Two years. Crossing the boundaries of education and science studies, it uniquely examines how the desires of…
Descriptors: Educational History, Global Approach, Higher Education, Educational Research
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Garvey, Jason C. – Journal of College Student Development, 2017
The purpose of this article is to clarify the discrepancy in the use of "queer" as a sexual identity classification in education survey research. This study extends the work completed by Dugan and Yurman (2011), who empirically demonstrated problems with treating LGB students as a homogenous population through collapsing all respondents…
Descriptors: Classification, Educational Research, Sexual Identity, Subcultures
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Henry, Kimberly L.; Muthen, Bengt – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Latent class analysis (LCA) is a statistical method used to identify subtypes of related cases using a set of categorical or continuous observed variables. Traditional LCA assumes that observations are independent. However, multilevel data structures are common in social and behavioral research and alternative strategies are needed. In this…
Descriptors: Statistical Analysis, Probability, Classification, Grade 9
Nieminen, Timo A.; Choi, Serene Hyun-Jin – International Journal of Research & Method in Education, 2008
Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. This can be challenging when the theoretical taxonomy does not match observational limitations, or if a theoretical taxonomy is unavailable. Binary keys allow qualitative observation to be used to modify a theoretical taxonomy to produce a practical…
Descriptors: Developmental Disabilities, Behavioral Science Research, Classification, Identification
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Speece, Deborah L. – Exceptionality, 1995
This article describes the strengths and weaknesses of different models of classification (primarily monothetic and polythetic) and then focuses on cluster analysis as a method of pursuing a polythetic model. Design features that need to be incorporated in a cluster analytic study are discussed in relation to theory formulation, internal validity,…
Descriptors: Classification, Cluster Analysis, Models, Research Design
Morris, John D.; Huberty, Carl J. – 1986
Formulas for estimating cross-validated hit-rates, the number of correct classifications into an a priori grouping structure, were examined. The following mathematical formulas were compared: McLachlan's formula estimator, two Snappin and Knoke smoothed formula estimators, and the analytic leave-one-out estimator. The R method was included as a…
Descriptors: Classification, Comparative Analysis, Correlation, Estimation (Mathematics)
Widaman, Keith F. – American Journal on Mental Retardation, 1991
This reaction paper criticizes the characterizations of clusters used in a study concerning a taxonomy of lifestyles of families with severely mentally retarded children, by I. T. Mink and others (EC 211 387). The criticism focuses on the use of cluster scores on criterion variables and use of cluster profiles across studies. (JDD)
Descriptors: Classification, Cluster Analysis, Family Relationship, Life Style
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van der Linden, Wim J. – 1984
The classification problem in educational testing is a decision problem. One must assign subjects to one of several available treatments on the basis of test scores, where the success of each treatment is measured by a different criterion. Examples of classification decisions include individualized instruction, counseling, and clinical settings.…
Descriptors: Bayesian Statistics, Classification, Cutting Scores, Decision Making
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Ross, Roslyn P. – Learning Disability Quarterly, 1990
When 43 experienced school psychologists were asked to evaluate discrepancy scores, it was found that they made inconsistent choices, failed to use standard statistical procedures for testing differences between scores, and tended to misinterpret percentile ranks as useful for discrepancy analysis. Implications for learning-disabilities…
Descriptors: Classification, Competence, Elementary Secondary Education, Handicap Identification
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Houser, Lloyd – Library and Information Science Research, 1986
Examines the literature on the myth of "hard science-soft science" as a means of defining scientific specialties and classifying science literature, and discusses some shortcomings of scholarship in library and information science. Use of Toulmin's categorization of sciences to organize the literature and provide access for scientists is…
Descriptors: Bibliometrics, Classification, Indexing, Information Retrieval
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Davies, Roy – Journal of Documentation, 1985
Introduces Q-analysis, a methodology for investigating a wide range of structural phenomena that defines structures in terms of relations between members of sets and reveals their salient features by using techniques of algebraic topology. Applications relevant to librarianship and information science are reviewed and present limitations…
Descriptors: Change Agents, Classification, Equations (Mathematics), Graphs
Katzer, Jeffrey; And Others – 1986
This project examines anaphora (the linguistic device of abbreviated subsequent reference to a concept) in information retrieval (IR) systems in order to develop procedures to recognize anaphors in text and distinguish between anaphoric and non-anaphoric uses of a given term, estimate the number of anaphors appearing in bibliographic records, and…
Descriptors: Abstracts, Algorithms, Classification, Comparative Analysis
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Sevin, Jay A.; And Others – Journal of Autism and Developmental Disorders, 1995
A cluster analytic study was conducted to derive behaviorally homogeneous subtypes of pervasive developmental disorders (PDD) based on a range of behavioral symptoms that characterize autism. Analysis of data on 34 children with PDD, 27 of whom met criteria for autism, indicated 4 distinct groups differing on independent measures of social,…
Descriptors: Behavior Patterns, Children, Classification, Cluster Analysis
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Veldhuis, G. Henry – Science Education, 1990
The nature of cluster analysis and dendograms, subjects, tasks, and results of this study are described. Categories for problems were based on assumptions about the methods used by novice and expert problem solvers in a physics context. (CW)
Descriptors: Classification, Cluster Analysis, Cognitive Structures, College Science
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Glutting, Joseph J.; And Others – Journal of Special Education, 1992
Three studies examined subtest profiles of the Kaufman Assessment Battery for Children: the first developed a normative taxonomy of subtest patterns using cluster analysis; the second compared subtest patterns of children with various disabilities; and the third used core patterns to identify children with unusual patterns. Results opposed the…
Descriptors: Classification, Clinical Diagnosis, Cluster Analysis, Cognitive Tests
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