Selective admission is a process used by most health science educational programs to admit the most probable candidates to complete the program. Health science program accreditation, funding, and staffing is often dependent on programmatic outcomes such as program completion rates. Radiography programs use a selective admission process, but each radiography program set specific criteria and differ on their method for selecting the students admitted into the program. For programs to ensure the selective admission criteria in use is selecting the applicants most likely to be successful in the program, the criteria need to be evaluated for reliability and validity. Northwestern State University's (NSU) Bachelor of Science in Radiologic Sciences (BSRS) program has never analyzed the selective admission that has been in use for over a decade. Student data from 2007-2018, totaling 435 admitted students, were utilized to evaluate the predictability of the BSRS program's selective admission criteria on program completion. The four criteria evaluated as part of the study were: TEAS test score, overall GPA, Prerequisite GPA and Introduction to Radiology course grades. The results of the study indicated that all four of the criteria were statistically significant in predicting program completion. One-way AVONA tests, logistic regression tests, and chi-square tests were used to evaluate the four criteria's ability to predict program completion. When evaluated independently all four criteria were significant, but once the variables were combined for analysis only prerequisite GPA and TEAS test scores were statistically significant. The results of the multi-variable logistic regression test were used to create a Probability Prediction Tool. This tool can now be used by NSU's BSRS program as a part of the admissions process to predict a candidate's probability to complete the program if admitted. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]