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dc.contributor.advisorDuCette, Joseph P.
dc.contributor.advisorDavis, James Earl
dc.creatorSchwartz, Mark Scott
dc.date.accessioned2020-11-05T15:01:53Z
dc.date.available2020-11-05T15:01:53Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/20.500.12613/3536
dc.description.abstractSet in a medium sized, suburban, two-year community college, this study explores the initial development of an actionable predictive risk model for first-year retention based on data currently collected and to identify target variables upon which data should be collected to improve future versions of the model. Institutional data were analyzed by means of Analysis of Variance and logistic regression and ordinary least squares regression analyses. Results suggested there are several important variables for which data as available but the risk model as developed has relatively low predictive power. The results of this study are used to inform College administrators, faculty, and staff about risk modeling, conclusions that can be drawn from existing data, and provide guidance on additional relevant variables upon which data should be collected. Additionally, recommendations for future research are discussed for this study’s institution and the field of education as it relates to Community Colleges.
dc.format.extent103 pages
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofTheses and Dissertations
dc.rightsIN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectEducation
dc.subjectEducational Administration
dc.subjectEducational Leadership
dc.subjectCommunity College
dc.subjectRetention
dc.subjectRisk Modeling
dc.titleRisk Modeling of First Year Student Retention at a Community College: An Early Exploration of Data, Feasibility, and Application
dc.typeText
dc.type.genreThesis/Dissertation
dc.contributor.committeememberDuCette, Joseph P.
dc.contributor.committeememberDavis, James Earl
dc.contributor.committeememberWitham, Keith
dc.contributor.committeememberCarter, Virginia
dc.description.departmentEducational Leadership
dc.relation.doihttp://dx.doi.org/10.34944/dspace/3518
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.degreeEd.D.
refterms.dateFOA2020-11-05T15:01:53Z


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