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Kaufman, Kenneth Roland; And Others – Journal of Child Psychology and Psychiatry and Allied Disciplines, 1980
The authors conclude that previously reported neuropsychiatric correlations based upon "pure" electroencephalographs (EEGs) may be the result of chance finding only. (Author/DB)
Descriptors: Adolescents, Children, Classification, Clinical Diagnosis
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Antonak, Richard F. – Journal of Special Education, 1980
The responses of 122 university students to 24 statements expressing attitudes toward the school integration and community integration of 11 groups of exceptionality and the normal were submitted to an ordering-theoretic data analysis procedure. (Author)
Descriptors: Attitudes, Classification, Disabilities, Higher Education
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Kendler, Howard H.; Guenther, Kim – Child Development, 1980
One hundred and sixty subjects from five age levels ranging from 3 to 20 years compared photographs of dogs (e.g., two different Great Danes or a Great Dane and a Doberman pinscher) and judged whether they were similar or different. (Author/MP)
Descriptors: Adolescents, Adults, Age Differences, Children
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Magowan, S. A. – Scottish Educational Review, 1980
This brief overview on dyslexia notes the problems of defining this syndrome, presents a profile of a "typical" dyslexic child, and describes the three sub-types of dyslexia which have been identified. (SJL)
Descriptors: Auditory Perception, Children, Classification, Dyslexia
Anderson, Stephen R.; Spradlin, Joseph E. – Journal of the Association for the Severely Handicapped (JASH), 1980
It was concluded that automatic generalization within or across response modalities is not necessarily an inevitable result and therefore may require explicit programing. (Author)
Descriptors: Adolescents, Classification, Exceptional Child Research, Generalization
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Harding, 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
Gomez-Mejia, Luis R.; Balkin, David B. – Personnel Administrator, 1980
Summarizes the results of research conducted on the nature of work-related and personal problems afflicting employee assistance program users. Based on a sample of 14,000 cases, the project sought to identify problems that seem to cluster together and the demographic profile of employees experiencing the cluster. (Author/MLF)
Descriptors: Business, Classification, Employment Problems, Interpersonal Relationship
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Bridwell, Lillian S. – Research in the Teaching of English, 1980
Reports the results of analysis of revisions in 100 randomly selected sets of 12th-grade students' essay drafts. Findings revealed that there are patterns of revising strategies among the students and that these differences are associated with the quality of their writing. (HOD)
Descriptors: Classification, Discourse Analysis, Grade 12, Secondary Education
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Adelman, Howard S. – Learning Disability Quarterly, 1979
In the first of two articles, the author discusses purposes of and problems involved in diagnosing learning disabilities (LD). Sections focus on three topics: the relationship between LD diagnosis and other assessment activity, the objectives of diagnostic classification, and specific conceptual concerns regarding the LD label. (Author/SBH)
Descriptors: Classification, Educational Diagnosis, Evaluation Methods, Labeling (of Persons)
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Neuringer, Charles – Educational and Psychological Measurement, 1979
CUTOFF is a program to identify the most efficient classification prediction cutting score. It ranks the scores of a criterion and a comparison group and organizes them into cumulative frequency tables allowing for immediate display of an index of correct identifications associated with each score. (Author/JKS)
Descriptors: Classification, Computer Programs, Control Groups, Cutting Scores
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Hutchinson, C. S. – School Science Review, 1979
Outlined and described is Whittaker's five-kingdom system of classifying all living organisms. Advantages of this classification scheme are discussed. (CS)
Descriptors: Biology, Classification, Instructional Materials, Science Education
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Gifford, Charles S.; And Others – Reading Improvement, 1980
Presents an overview of a process that has been used at the University of Georgia to identify educational trends through a systematic analysis of selected professional journals. Describes the 10 steps in the process. (FL)
Descriptors: Classification, Educational Trends, Identification, Long Range Planning
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Robinson, Evelyn E. – Educational Leadership, 1980
Discusses the type of fragmentation taking place in the curriculum, examines some of the forces causing it, and considers the educational effects. (Author/MLF)
Descriptors: Classification, Curriculum Design, Curriculum Development, Curriculum Evaluation
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Elijah, David; Legenza, Alice – Reading Improvement, 1979
Presents changes in the original comprehension taxonomy that make it more functional for teachers to use. Changes include regrouping and renaming the evaluation components. (FL)
Descriptors: Classification, Comprehension, Elementary Secondary Education, Evaluation Methods
McCallan, Norma J. – Drexel Library Quarterly, 1978
Suggests ways that Adult Basic Education materials might be organized in libraries. Appendices provide categories for bookmobiles, sample major categories, and coping skills categories used in the Appalachian Adult Education Center's Library/ABE Project in Tennessee. (JD)
Descriptors: Adult Basic Education, Bookmobiles, Classification, Essays
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