The purposes of this study were (a) to analyze whether any significant differences exist in students' satisfaction among the 11 composite scales/satisfaction measures of the SSI (retention programs); (b) to determine whether significant differences exist in satisfaction among students of the institution based on their demographic characteristics of gender, age, ethnicity, class load, and employment; and (c) to record findings, draw conclusions, and make recommendations from the study. The research was conducted using a questionnaire, The Student Satisfaction Inventory (SSI), developed by Juillreat and Schreiner in 1994. The instrument measures, among other matters, students' perceptions and satisfaction. The population of the study comprised all students at the institution during the 1996-1997 school year. A total of 312 students was sampled, with 182 (58%) returns received. Statistical treatments used to analyze the collected data included frequencies, percentages, means, standard deviation, multiple analysis of variances (MANOVA), one-way analysis of variance (ANOVA), and Tukey's Post Hoc t-test for multiple comparison.

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) Commitment to College (OR = 1.006, p < .01), (b) Academic Discipline (OR = 1.005, p < .01), (c) Social Activity (OR = -.997, p < .01), (d) Social Connection (OR = 1.004, p < .01), and (e) Academic Self-Confidence (OR = -.997, p < .01). Regarding the subsample of 860 Latino males, none of the 10 psychosocial measures produced statistically significant results. The findings indicate the need to determine a new way of identifying at-risk Latino male students because current methods have failed to build a robust predictive model for this student population.