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Community College Student Engagement Patterns: A Typology Revealed Through Exploratory Cluster Analysis

By Victor B. Sáenz, Deryl K. Hatch, Beth E. Bukoski, Suyun Kim, Kye-hyoung Lee and Patrick Valdez

Abstract

This study employs survey data from the Center for Community College Student Engagement to examine the similarities and differences that exist across student-level domains in terms of student engagement in community colleges. In total, the sample used in the analysis pools data from 663 community colleges and includes more than 320,000 students. Using data-mining techniques to discover a parsimonious number of natural clusters and, in turn, a k-means cluster analysis as a means of revealing a naturally occurring typology of engagement patterns, our findings reveal that support service utilization is the most distinguishing feature of the similarities and dissimilarities across student groups, suggesting areas for further theory development and testing

Topics: student engagement, student services, cluster analysis, Community College Survey of Student Engagement, student typologies, Community College Education Administration, Community College Leadership, Education, Educational Administration and Supervision, Higher Education Administration
Publisher: DigitalCommons@University of Nebraska - Lincoln
Year: 2011
OAI identifier: oai:digitalcommons.unl.edu:cehsedadfacpub-1019

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