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ERIC Number: EJ980753
Record Type: Journal
Publication Date: 2011
Pages: 25
Abstractor: As Provided
Reference Count: 39
ISBN: N/A
ISSN: ISSN-1552-9045
Using Cluster Analysis to Segment Students Based on Self-Reported Emotionally Intelligent Leadership Behaviors
Facca, Tina M.; Allen, Scott J.
Journal of Leadership Education, v10 n2 p72-96 Sum 2011
Using emotionally intelligent leadership (EIL) as the model, the authors identify behaviors that three levels of leaders engage in based on a self-report inventory (Emotionally Intelligent Leadership for Students-Inventory). Three clusters of students are identified: those that are "Less-involved, Less Others-oriented," "Self-Improvers," and "Involved Leaders for Others." EIL behaviors that most differentiate the highest self-ranking group of involved leaders are the extent to which cluster members work to "resolve conflicts" in a group situation, work to build a "sense of team," and consider "the needs of others." The underlying constructs of consciousness of context, self, and others are investigated and discussed. Discriminant analysis is used to validate the cluster solution. Cluster analysis is found to be useful tool for helping leadership educators categorize students and by doing so, program architects have an opportunity to design and develop interventions tailored to better meet the needs of individual students. (Contains 7 figures and 7 tables.)
Association of Leadership Educators. e-mail: Jole@aged.tamu.edu; Web site: http://leadershipeducators.org/JOLE
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United States