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Formation of Community College Clusters Using the CCSSE Benchmarks for Extra-Large Community Colleges
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Hurley, Rodney G. – Journal of Applied Research in the Community College, 2009
This study used the five benchmarks from the Community College Survey of Student Engagement (CCSSE) to form clusters of colleges within the CCSSE classification of extra-large community colleges (greater than or equal to 15,000 students). Cluster analysis produced a five-cluster solution for the 48 identified extra-large community colleges. Using…
Descriptors: Community Colleges, School Size, Cluster Grouping, Multivariate Analysis
Who Are Our Students? Cluster Analysis as a Tool for Understanding Community College Student Populations
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Ammon, Bridget V.; Bowman, Jamillah; Mourad, Roger – Journal of Applied Research in the Community College, 2008
This study showcases cluster analysis as a useful tool for those who seek to understand the types of students their community colleges serve. Although educational goal, academic program, and demographics are often used as descriptive variables, it is unclear which, if any, of these are the best way to classify community college students. Cluster…
Descriptors: Community Colleges, Student Characteristics, Profiles, Multivariate Analysis
A JARCC Toolbox Article--Using Student Intake Data to Predict Success in a Program: An Application of Canonical Correlation Analysis
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Hickman, Randall C. – Journal of Applied Research in the Community College, 2005
Research that has traditionally supported program accreditation has tended to be primarily descriptive in nature, focusing on outcomes such as the satisfaction of graduates and passing rates on licensure exams. The study reported here illustrates how research employing multivariate methodologies can go beyond such descriptive reporting to address…
Descriptors: Multivariate Analysis, Correlation, Selective Admission, Research Methodology