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A number of challenges exist in providing the honors experience. Programs must compete for resources, coordinate departments, design dynamic curricula, and work toward changing goals. Among the many challenges, one of the hardest begins before students even enter the program. Honors admissions must select the students who will likely succeed in the program. After admissions, programs must then ensure that the program design encourages academic achievement and persistence in honors. To accomplish the goals and overcome the challenges of honors, a better understanding of the predictors of success is necessary. Using a logit regression model, my study will add evidence to previous research on the effectiveness of traditional admissions criteria such as high school grades and standardized test scores, contributing to a better understanding of honors students and their likelihood of success. The results of the study also reveal areas for future research, including the relevance of gender and ethnicity to graduation rates in honors.