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Autor/inn/enDenson, Nida; Ing, Marsha
TitelLatent Class Analysis in Higher Education: An Illustrative Example of Pluralistic Orientation
QuelleIn: Research in Higher Education, 55 (2014) 5, S.508-526 (19 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0361-0365
DOI10.1007/s11162-013-9324-5
SchlagwörterHigher Education; College Freshmen; Student Diversity; Models; Racial Differences; Ethnicity; Majors (Students); Multivariate Analysis; Cultural Pluralism
AbstractAlthough used frequently in related fields such as K-12 education research, educational psychology, sociology, and social survey research, latent class analysis (LCA) has been infrequently used in higher education. This article provides higher education researchers with a pedagogical application of LCA to classify entering freshmen based on their pluralistic orientation. This study utilized data on entering freshmen at a racially diverse institution on the West coast. LCA was used to estimate latent profile probabilities, classify freshmen into latent classes, and relate latent class probabilities to covariates. The findings indicated that a four-class model was the best fitting model: high pluralistic orientation; high-disposition, low-skill; low-disposition, high-skill; and low pluralistic orientation. Similar to previous research, the findings indicated that the probability of being classified into one group versus the other was dependent upon a student's race/ethnicity and intended major. This approach can aid college administrators in their program planning and targeted interventions around issues of diversity. (As Provided).
AnmerkungenSpringer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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