Development of Logistic Regression Models to Predict Graduation in Higher Education and STEM Majors

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dc.contributor.advisorLockwood, Pamela
dc.creatorPaladi, Ujwala
dc.creator.orcid0000-0002-5960-1535
dc.date.accessioned2017-09-07T18:55:09Z
dc.date.available2017-09-07T18:55:09Z
dc.date.created2017-08
dc.date.issued2017-08-28
dc.date.submittedAugust 2017
dc.date.updated2017-09-07T18:57:16Z
dc.description.abstractThe topic of this thesis is the analysis of factors influencing the retention of undergraduate level students at West Texas A&M University (WTAMU) with a special emphasis on STEM majors. The subjects of this study are first time college students, enrolled at WTAMU in Fall 2010, Fall 2011 and Fall 2012 that have a declared first major in a STEM field. Through Logistic regression analysis, factors influencing student retention and retention to graduation are identified. Identified factors that influence undergraduate student retention and graduation at WTAMU are math and science self-confidence, study habits, HSGPA, class percent, mothers’ education, and senior year grades. Factors identified that influence retention to graduation of first year STEM majors at WTAMU are percentile of transfers, desire to finish, self-reported college prep activity, highest degree sought, sociability, distance from campus, HSGPA, class percent, Major code, fathers education, and work.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/11310/131
dc.language.isoen_US
dc.subjectHigher Education STEM
dc.titleDevelopment of Logistic Regression Models to Predict Graduation in Higher Education and STEM Majors
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentMathematics, Chemistry & Physics
thesis.degree.disciplineMathematics
thesis.degree.grantorWest Texas A&M University
thesis.degree.levelMasters
thesis.degree.nameM. S.

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