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Texas Tech University

1. Logan, Ethan. Logistic Regression in Predictive Modeling of Admitted Student Enrollment.

Degree: Educational Psychology & Leadership, 2010, Texas Tech University

The application of Predictive Modeling within enrollment management provides a tremendous tool for building and shaping future enrollments for institutions of higher education. Though the practice of predictive modeling is a well known application in private business practices, the use of predictive modeling in enrollment management has only recently been employed since 1990s. The independent higher education consulting firm Noel-Levitz popularized the introduction of predictive modeling as a method of providing enrollment management professionals in higher education the opportunity to forecast the possible enrolling classes of students in their institutions. This study followed a recommended strategy for application of predictive modeling for enrollment management. Stephen DesJardins, Ph.D., from the University of Michigan published a methodology for applying predictive modeling to the process of recruiting and admitting students in an attempt to provide institutions who were actively involved in predictive modeling programs, or those who could not afford independent consulting organizations who provided predictive modeling services. The recommended method of predictive modeling as prescribed by DesJardins will be adapted to an entering class of freshmen at a large, public 4-year institution of higher education in the Southwest. The class of 2009 will be analyzed in order to build a model of predictive modeling which will then subsequently be applied to the class of 2010. The effectiveness of both the model and the application were analyzed for effectiveness, since both of these classes have already matriculated. Advisors/Committee Members: Shonrock, Michael D. (Committee Chair), Lan, William (committee member), Burkhalter, James P. (committee member).

Subjects/Keywords: Enrollment management; Predictive modeling; Logistic regression; Admitted student enrollment

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Logan, E. (2010). Logistic Regression in Predictive Modeling of Admitted Student Enrollment. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/ETD-TTU-2010-12-1071

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Logan, Ethan. “Logistic Regression in Predictive Modeling of Admitted Student Enrollment.” 2010. Thesis, Texas Tech University. Accessed October 27, 2020. http://hdl.handle.net/2346/ETD-TTU-2010-12-1071.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Logan, Ethan. “Logistic Regression in Predictive Modeling of Admitted Student Enrollment.” 2010. Web. 27 Oct 2020.

Vancouver:

Logan E. Logistic Regression in Predictive Modeling of Admitted Student Enrollment. [Internet] [Thesis]. Texas Tech University; 2010. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2346/ETD-TTU-2010-12-1071.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Logan E. Logistic Regression in Predictive Modeling of Admitted Student Enrollment. [Thesis]. Texas Tech University; 2010. Available from: http://hdl.handle.net/2346/ETD-TTU-2010-12-1071

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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