Every year, thousands of Florida public high school graduates seek to enter Florida state colleges based on a single standardized placement test. This quantitative study sought to identify an actuarial model, based on multiple measures, as an alternative to standardized placement tests. The study, grounded on degree completion theories, examined high school students from the Miami-Dade metropolitan area and their performance in one first-year mathematics course in Miami Dade College during the Fall 2014 academic term. The study, using a sample size of 10,186 subjects, examined multiple predictor variables and one outcome variable to measure predictability of success in Intermediate Algebra. The study used descriptive statistics, multiple linear regression, and logistic regression to develop a multiple measure actuarial model. A quantitative analysis of archived student records was used in this study. The analysis revealed that the actuarial model, using gender, ethnicity, age, academic objective, academic load, high school GPA, high school mathematics gap, and high school mathematics curriculum composite score as predictor variables, was significant in predicting success in Intermediate Algebra. The actuarial model correctly classified 1,688 subjects who would fail Intermediate Algebra, achieving a hit rate of 75% in predicting failure in Intermediate Algebra. Similarly, the model achieved a hit rate of 54% when classifying subjects who would pass Intermediate Algebra. The improvement-over-chance index, I, was 44.8%, representing a 45% reduction in error when classifying subjects who would fail Intermediate Algebra. Thus, the actuarial model, with all its predictor variables, provides helpful guidance when advising incoming first-time-in-college (FTIC) students. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection