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Showing 1 to 15 of 16 results Save | Export
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Saxena, Gaurav; Lai, Katerina A.; Allen, Peter J. – Power and Education, 2023
Higher education institutions in the UK have organised into mission groups for the advocacy of shared interests and ideologies. Although research productivity is claimed as a key point of difference between these groups, this claim has received relatively little empirical scrutiny. The current study examined the clustering of UK universities based…
Descriptors: Foreign Countries, Cluster Grouping, Universities, Research
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Irina Tursunkulova; Suzanne de Castell; Jennifer Jenson – International Association for Development of the Information Society, 2023
The exponential growth of scholarly publications in recent years has presented a daunting challenge for researchers to keep track of relevant articles within their research field. To address this issue, we examined the capabilities of InfraNodus, an AI-Powered text network analysis platform. InfraNodus promises to provide insights into any…
Descriptors: Research, Journal Articles, Artificial Intelligence, Evaluation Methods
Brannon, Sian – Journal of Education for Library and Information Science, 2014
Fieldwork exists as a component of many library schools' curricula. Site supervisors, students, and the schools themselves all play a role. A final part of most fieldwork experiences involves the use of an evaluation form filled out by a site supervisor about the student. In this study, forty seven evaluation forms were collected and analyzed…
Descriptors: Field Experience Programs, Student Evaluation, Evaluation Needs, Information Science Education
Toole, Patrick F. – 1969
Assuming the perception of similarities as a fundamental psychological process, the applicability of a multidimensional scaling, nonmetric technique called MAPP (Mathematical Analysis of Perception and Preference) is demonstrated using three case studies. Any technique which provides paired similarity ranks can be used to collect data necessary…
Descriptors: Cluster Grouping, Measurement Techniques, Perception, Research
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Van Rijsbergen, C. J.; Croft, W. B. – Information Processing and Management, 1975
The single-link cluster method is used to construct a hierarchic classification for the 1400 documents in the Cranfield test collection. A variety of retrieval strategies applied to this hierarchy are evaluated in terms of effectiveness and efficiency. (Author)
Descriptors: Classification, Cluster Grouping, Efficiency, Information Retrieval
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Galbraith, Richard C.; Day, Randal D. – Child Development, 1978
Inspection of findings from Denney and Ziobrowski (1972), in light of problems of analysis and method, seriously questioned the validity of their reported crossover interaction of clustering criteria with age. In addition, a replication of their experiment, correcting for methodological problems, revealed no interaction of clustering criteria with…
Descriptors: Cluster Grouping, College Students, Elementary School Students, Recall (Psychology)
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Markham, Ellen M. – Child Development, 1978
Study 1 asked second through sixth graders, who could answer inclusion questions, to answer such questions without empirical information about relative quantity and to predict whether subordinate classes could be made larger than their superordinate classes. In study 2, children's performance in two part-whole domains, classes and collections, was…
Descriptors: Classification, Cluster Grouping, Comparative Analysis, Elementary School Students
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Miller, R. – Journal of Genetic Psychology, 1977
Seventy-two first grade students and 72 freshman college students participated in a study designed to test the hypothesis that the younger the child, the more perceptible are the attributes used in judging equivalence in sorting tasks. (BD)
Descriptors: Age Differences, Classification, Cluster Grouping, College Students
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Borkowski, John G.; And Others – Journal of Experimental Child Psychology, 1978
Examined the maintenance of cumulative-cluster and cluster rehearsal strategies on free recall tasks as a function of amount of strategy training. Subjects were 50 elementary school students in third and fourth grades. (Author/MP)
Descriptors: Cluster Grouping, Conceptual Schemes, Elementary School Students, Recall (Psychology)
Loeb, Jane W.; DeNike, L. Douglas – Psychol Rep, 1969
Descriptors: Cluster Grouping, College Students, Learning Processes, Learning Theories
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Rosenthal, Ted L.; And Others – Journal of Experimental Child Psychology, 1972
Descriptors: Analysis of Variance, Cluster Grouping, Concept Formation, Generalization
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Lange, Garrett; Griffith, Saralyn B. – Child Development, 1977
This study was designed to contrast children's recall clustering before and after they acquired stable input organizations. A sample of 120 subjects (24 from preschool grades, 1, 4, 7, and college) performed two successively presented, procedurally identical, series of recall-sort-recall tasks. (Author/JMB)
Descriptors: Classification, Cluster Grouping, Cognitive Processes, Elementary School Students
Lee, James L. – Nat Cath Guidance Conf J, 1969
Descriptors: Career Development, Church Related Colleges, Cluster Grouping, Dropout Characteristics
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Als, Heidelise – Monographs of the Society for Research in Child Development, 1978
Describes the conceptual model of newborn organization underlying the Brazelton Neonatal Behavioral Assessment Scale (NBAS). Argues that while the NBAS allows for the identification of an individual's behavioral repertoire, attempts to synthesize the resulting data have been plagued with difficulties. Briefly outlines an alternative model for…
Descriptors: Child Development, Cluster Grouping, Conceptual Schemes, Infant Behavior
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Paulson, Barbara L.; Truscott, Derek; Stuart, Janice – Journal of Counseling Psychology, 1999
Examines clients' counseling experiences using concept mapping, a methodological approach combing qualitative and quantitative strategies. Clarifies the scope and interrelations among elements of the retrospective experience of helpfulness among clients. Results found that the structure of the concept map was found to be consistent with an…
Descriptors: Client Characteristics (Human Services), Cluster Analysis, Cluster Grouping, Concept Mapping
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