Thesis (D.A.)--Illinois State University, 1991. / Title from title page screen, viewed January 3, 2006. Dissertation Committee: Rati Ram (chair), John F. Chizmar, William T. Gorrell, Anthony L. Ostrosky, David D. Ramsey. Includes bibliographical references (leaves [113]-115) and abstract. Also available in print.

Thesis (Ed. D.)--Illinois State University, 1987. / Title from title page screen, viewed July 26, 2005. Dissertation Committee: John R. McCarthy (chair), Vernon A. Adams, Linda G. Herman, Rodney P. Riegle, Kenneth H. Strand. Includes bibliographical references (leaves 108-113) and abstract. Also available in print.

Thesis (D. Ed.)--University of Texas at Austin, 2004. / Supervisor: James P. Duncan. Vita. Includes bibliographical references.

Thesis (Ph. D.)--Florida State University, 2006. / Advisor: Arthur Raney, Florida State University, College of Communication, Dept. of Communication. Title and description from dissertation home page (viewed June 13, 2006). Document formatted into pages; contains xi, 144 pages. Includes bibliographical references.

Thesis (Ph. D. in Leadership and Policy Studies)--Vanderbilt University, Dec. 2006. / Title from title screen. Includes bibliographical references.

Thesis (M.Com.(Communication Management))--University of Pretoria, 2006. / Abstract in English. Includes bibliographical references. Available on the Internet via the World Wide Web.

Thesis (M.Ed.)--University of Toledo, 2009. / Typescript. "Submitted as partial fulfillment of the requirements for The Master of Education in Higher Education." "A thesis entitled"--at head of title. Bibliography: leaves 76-80.

Colleges and universities are under mounting pressure to meet enrollment goals in the face of declining college attendance. Insight into student-level probability of enrollment, as well as the identification of features relevant in student enrollment decisions, would assist in the allocation of marketing and recruitment resources and the development of future yield programs. A logistic regression model was fit to predict which applicants will ultimately matriculate (enroll) at Concordia College. Demographic, geodemographic and behavioral features were used to build a logistic regression model to assign probability of enrollment to each applicant. Behaviors indicating interest (campus visits, submitting a deposit) and residing in a zip code with high alumni density were found to be strong predictors of matriculation. The model was fit to minimize false negative rate, which was limited to 18.1 percent, compared to 50-60 percent reported by comparable studies. Overall, the model was 80.13 percent accurate.

No description available.

Thesis (M.A. Educ)--Virginia Polytechnic Institute and State University, 1993. / Vita. Abstract. Includes bibliographical references (leaves 108-113). Also available via the Internet.