Using latent profile methodology to obtain a midwestern community college student typology

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dc.contributor.advisor Finch, W. Holmes (William Holmes) Hum, Karen R. 2016-07-26T18:44:20Z 2016-07-26T18:44:20Z 2016-07-23
dc.description.abstract The accurate classification of college students is critical if educators are to better understand their student populations. Doing so will enable institutions to target specific student groups with interventions geared toward improving persistence, retention, and overall achievement, which ultimately could result in more effective and efficient approaches. The current study examined the development of student typologies in higher education using student enrollment behavior. The investigation looked at whether a typological model could be shared between institutions, or if regional policies, processes, and student demographics dictated a locally grown solution. Using Latent Profile Analysis (LPA), the results found that each institution would be best served to establish its own model. Additional findings supported the use of behavioral variables, but suggested that the inclusion of gender and race had an impact on a student’s group classification. en_US
dc.description.sponsorship Department of Educational Psychology
dc.subject.lcsh Community college students -- Middle West -- Mathematical models.
dc.subject.lcsh Community college students -- Psychological testing -- Middle West.
dc.subject.lcsh Typology (Psychology)
dc.title Using latent profile methodology to obtain a midwestern community college student typology en_US Thesis (Ph. D.) en_US

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  • Doctoral Dissertations [3248]
    Doctoral dissertations submitted to the Graduate School by Ball State University doctoral candidates in partial fulfillment of degree requirements.

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