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Lohr, Sharon; Schochet, Peter Z.; Sanders, Elizabeth – National Center for Education Research, 2014
Suppose an education researcher wants to test the impact of a high school drop-out prevention intervention in which at-risk students attend classes to receive intensive summer school instruction. The district will allow the researcher to randomly assign students to the treatment classes or to the control group. Half of the students (the treatment…
Descriptors: Educational Research, Research Design, Data Analysis, Intervention
Wallace, Danny P. – Library Journal, 1987
The literature of bibliometrics suggests that the results of bibliometric studies can be of practical use in libraries by providing a scientific basis for collection management decisions. Reports on the application of these studies are virtually nonexistent and a number of reasons for this are suggested. (EM)
Descriptors: Bibliometrics, Cluster Analysis, Cluster Grouping, Library Collection Development
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Logan, Elisabeth L.; Shaw, W. M., Jr. – Journal of the American Society for Information Science, 1987
The role of the coauthor relationship in the structure of informal communications networks within disciplines is explored, and the validity of coauthor graphs used to map these relationships is tested for both small and large databases. (CLB)
Descriptors: Authors, Bibliometrics, Cluster Grouping, Cooperation
Peer reviewed Peer reviewed
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
Arnold, Carolyn L. – 1997
Addressed to institutional researchers, this report from California's Chabot College presents information on National Center for Education Statistics (NCES) data sets. Included is a discussion on how these data sets can be used to create peer groups of U.S. colleges, and to produce statistics on major student variables for each of these groups.…
Descriptors: Cluster Grouping, College Outcomes Assessment, Community Colleges, Comparative Analysis