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Predicting Nontraditional Freshman Retention Using Pre-enrollment Data

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dc.contributor.advisor Dimitrov, Dimiter M.
dc.contributor.author Boldbataar, Bolorchimeg
dc.creator Boldbaatar, Bolorchimeg
dc.date 2014-04-24
dc.date.accessioned 2014-07-21T19:46:36Z
dc.date.available 2014-07-21T19:46:36Z
dc.date.issued 2014-07-21
dc.identifier.uri https://hdl.handle.net/1920/8730
dc.description.abstract This thesis studies the pre-enrollment variables that predict nontraditional freshman retention and includes data from the National Education Longitudinal Study (NELS: 88-2000). Pre-enrollment variables were selected based on the availability of variables in the beginning of the fall term. This thesis examines the pre-enrollment of 10 high school and 15 college variables, and levels of nontraditional students. Blockwise logistic regression was used to determine most predictive variables. The findings identified three high school variables (high school grade, attendance, and Carnegie units) and seven college variables (enrollment status, number of math and science classes, type of degree, hours of employment, campus job, grants, and marital status). After controlling these variables, it was found that the level of nontraditional students has a unique effect on student retention. The result of this finding supports previous research of nontraditional student retention: The higher the number of nontraditional characteristics that students possess, the less they are likely to be retained. These findings are discussed in terms of measurement of the variables, handling of missing data, and logistic regression analysis combined with data visualization. Implications of future research emphasize the importance of studying nontraditional students without any age restriction.
dc.language.iso en en_US
dc.subject first-year retention en_US
dc.subject logistic regression analysis en_US
dc.subject nontraditional student retention en_US
dc.subject pre-enrollment data en_US
dc.subject predicting retention en_US
dc.subject nontraditional characteristics en_US
dc.title Predicting Nontraditional Freshman Retention Using Pre-enrollment Data en_US
dc.type Thesis en
thesis.degree.name Master of Arts in Interdisciplinary Studies en_US
thesis.degree.level Master's en
thesis.degree.discipline Interdisciplinary Studies en
thesis.degree.grantor George Mason University en


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