The purpose of this study was to analyze and determine the predictive power of individual and a combination of different indicators that are used to determine college readiness. For this study a logistic regression analysis was conducted due to the dichotomous nature of the dependent variable. The dependent variable for the study was the earning of a post-secondary credential. The independent variables included high school diploma type, Advanced Placement course taken, Advanced Placement test performance, SAT performance, ACT performance, a multidimensional index made up of all the variables, and high school GPA. The study found that high school GPA had the strongest odds ratio, Exp(B), for the participants earning a post-secondary credential (Exp(B) = 6.597), followed by diploma type (Exp(B) = 6.316), taking an Advanced Placement course (Exp(B) = 4.368), earning at least one qualifying Advanced Placement test score (Exp(B) = 3.846), a multidimensional index (Exp(B) = 2.318), ACT score (Exp(B) = 1.161) and SAT score (Exp(B) = 1.003). Future analysis is needed by using live data of student's college performance, stratifying the data to account for differences in post-secondary performance by different racial and socio-economic groups, and studying the effects of the State of Texas' chosen college readiness variables.