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Denney, Nancy Wadsworth; Ziobrowski, Martin – Journal of Experimental Child Psychology, 1972
Study suggests that, rather than being less able to organize information, young children simply organize according to different criteria than adults. (Authors)
Descriptors: Age Differences, Cluster Analysis, Cluster Grouping, College Students
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Frantz, Nevin R. – Journal of Industrial Teacher Education, 1971
Descriptors: Cluster Grouping, Curriculum Development, Educational Objectives, Entry Workers
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Gough, Harrison G. – Psychological Reports, 1971
Descriptors: Academic Achievement, Cluster Grouping, Cultural Influences, Factor Analysis
Nation's Schools, 1971
Descriptors: Classroom Design, Cluster Grouping, Flexible Schedules, Flexible Scheduling
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Yerkey, A. Neil – Journal of the American Society for Information Science, 1983
This study attempts to analyze descriptors taken from subject categories in ERIC thesaurus and used as search terms on CROSS database Bibliographic Retrieval Services. An expectation ratio was computed and cluster analysis was conducted to discover subject relationships among databases. A list of databases retrieved and 12 references are appended.…
Descriptors: Cluster Analysis, Cluster Grouping, Comparative Analysis, Data Analysis
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Bejar, Isaac I. – Journal of Educational Measurement, 1980
Two procedures are presented for detecting violations of the unidimensionality assumption made by latent trait models without requiring factor analysis of inter-item correlation matrices. Both procedures require that departures from unidimensionality be hypothesized beforehand. This is usually possible in achievement tests where several content…
Descriptors: Achievement Tests, Bayesian Statistics, Cluster Grouping, Content Analysis
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Engle, Randall W.; Nagle, Richard J. – Intelligence, 1979
Mildly retarded children were instructed in encoding strategies or rehearsal strategy. Performance was higher for semantic encoding strategies. Seven months later the semantic condition also showed greater improvement after strategies were prompted. Performance on incidental learning tasks was enhanced for 13- but not 10-year olds. (Author/RD)
Descriptors: Cluster Grouping, Educational Strategies, Intermediate Grades, Learning Processes
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Elkins, John – Australian Journal of Education, 1978
Numerical classification techniques were used to explore the conjecture that inconsistent results of many studies of disabled readers could result from samples being composed of subgroups of children with different characteristics. Some five subgroups were identified using ITPA scores from a subsample of 37 poor readers. (Author)
Descriptors: Classification, Cluster Grouping, Discriminant Analysis, Grade 1
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Truex, Gregory F. – Journal of Cross-Cultural Psychology, 1977
Variations in sorts of rural Mexican-Spanish "have" verbs were analyzed using two approaches: one which measures subject differences from a standard categorization, and another which directly compares pairs of individual subject's sorts. "The second approach revealed a consistent structure for a subset of the subjects not revealed…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Cognitive Processes
Silverstein, A. B.; And Others – American Journal on Mental Retardation, 1989
Cluster analysis was performed on the adaptive behavior scores of 2 samples of 200 institutionalized mentally retarded individuals. Three clusters were found to be stable across clustering methods, subject samples, and time points 3 years apart. Cluster membership was meaningfully associated with demographic characteristics and neurological and…
Descriptors: Adaptive Behavior (of Disabled), Adults, Behavior Rating Scales, Cluster Analysis
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Jarvis, Scott; Grant, Leslie; Bikowski, Dawn; Ferris, Dana – Journal of Second Language Writing, 2003
Recent research has come a long way in describing the linguistic features of large samples of written texts, although a satisfactory description of L2 writing remains problematic. Even when variables such as proficiency, language background, topic, and audience have been controlled, straightforward predictive relationships between linguistic…
Descriptors: Multivariate Analysis, Profiles, Writing (Composition), Writing Evaluation
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Hertberg, Holly L.; Brighton, Catherine M. – Journal of Staff Development, 2005
The teachers described here represent four categories of teacher response that staff developers often confront when working with teachers on differentiating instruction. Some teachers respond with enthusiasm; others respond with frustration and sometimes even anger. The mixed responses from teachers are understandable; for many teachers,…
Descriptors: Figurative Language, Teacher Response, Teacher Characteristics, Teacher Attitudes
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Li, Jun; Mitra, Jay – Industry and Higher Education, 2006
This paper focuses on firm behaviour within business clusters and cluster-type environments. Using survey data to distinguish cluster members by the perceived degree of participation, the authors categorize them as leading, proactive or reactive players. They then examine the clustering behaviour of each of these categories. They find that (a)…
Descriptors: Surveys, Cluster Grouping, Interviews, Data Collection
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Yip, Tiffany; Seaton, Eleanor K.; Sellers, Robert M. – Child Development, 2006
Cluster analytic methods were used to create 4 theorized ethnic identity statuses (achieved, foreclosed, moratorium, and diffused) among 940 African American adolescents (13-17 years old), college students (18-23 years old), and adults (27-78 years old). Evidence for the existence of 4 identity statuses was found across the 3 age groups. The…
Descriptors: African Americans, Racial Identification, Depression (Psychology), Adolescents
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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
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