The purpose of this quantitative study was to examine the relationship of participation and involvement in an undergraduate student success program to academic success and persistence among students in three programs sponsored by the Texas Higher Education Coordinating Board (THECB): the G-Force Collegiate Work-Study Mentorship Program, the Advancement Via Individual Determination (AVID) for Higher Education (AHE) program, and the THECB work-study program. The sample was identified using data from the THECB during the 2009-2013 academic years. Compared to THECB work-study students, significantly more AHE and G-Force students persisted toward graduation while engaged in the program (p < .001). ANOVA indicated that AHE students had a higher average GPA compared to G-Force and THECB work-study students, controlled for gender, race/ethnicity, pre-program GPA, and length of time in the position. Regression analyses found no statistically significant relationship between program associations and persistence towards graduation or GPA. Results suggest that although participation in a peer leadership programs such as AHE and G-Force encourage greater academic achievement and persistence, there is no direct relation to the achievement of these outcome variables. Implications of the study suggest the need for a deeper analysis into elements of peer leadership programs that contribute to student success, an …

The purpose of this study was to investigate and predict Latino male student retention using ACT’s Engage College survey at a research university in the southwestern region of the U.S. ACT’s Engage survey was designed to predict first-year college retention using 10 psychosocial measures. However, no empirical study exists to support ACT’s claim especially for Latino male students. Data from a four-year research university between 2009 and 2011 were analyzed with logistic regression. Logistic regression analysis was performed for the whole sample (N = 8,061) and for the Latino male subsample (n = 860). In the entire sample’s first regression model, high school grade quartile and SAT score as well as demographic variables were used as predictor variables. In this model, the independent variables of high school grade point average quartile, SAT score, gender, and race made statistically significant contributions to the model (Nagelkerke R2 = .031, p < .01). In the entire sample’s second regression model, ACT’s 10 psychosocial variables were added to the first regression model as predictor variables. Results indicated the instrument was valid for the freshmen as a whole because five out of 10 psychosocial measures displayed statistically significant odds ratios (ORs) for predicting retention: (a) …