Many higher education institutions offer first-year college students the opportunity to participate in second-year retention programs in order to support the persistence of college students who seek assistance in navigating the college experience. Research regarding the traits that characterize second-year students and what the second-year experience entails is still in progress. (Braxton, 2000; Hunter et al. 2009; Schaller, 2000, 2005, 2010; Schreiner & Pattengale, 2000). While the existing research has built the foundation for research around the second-year experience, additional research is required to compose a truly holistic picture of the second-year experience. The purpose of this study is to identify the characteristics of first-year students who choose to apply to second-year retention programs and why they choose to apply to such programs. The study will address three research questions. 1. What are the characteristics of students who apply to participate in a second-year retention program? 2. What student noncognitive variables reflect which students apply to participate in a second-year retention program? 3. What factors do first-year students consider when determining whether or not they will participate in a second-year retention program? A mixed methods explanatory design (Cresswell & Plano-Clark, 2007) was implemented to investigate the research questions. The research population was composed of 337 first-year college students, primarily first generation students and students of color, eligible for participation in a second-year retention program at a large research institution in the western United States. This study hopes to contribute to a greater understanding of the characteristics of first-year students who choose to apply to participate in second-year retention programs and why they choose to apply. The findings can inform universities as to how they can offer more effective support of second-year students in a manner relevant to their needs. / text

The purpose of this study was to integrate traditional student success models with theories which focus on nontraditional students to create a model of early community college student success. The researcher sought to understand the pre-college behaviors, attitudes, and attributes, from both cognitive and noncognitive domains, which influence the success of first-time community college students enrolled in a developmental mathematics course. First-time community college students enrolled in Elementary Algebra (N=385) were surveyed on their educational goals, prior academic achievement, anticipated interactions during the first semester, and items from the Noncognitive Questionnaire (NCQ) (Sedlacek, 2004). Institutional data supplemented the survey variables as well as provided all dependent variables. Factor analyses were conducted to reduce the number of anticipatory variables. Descriptive statistics were reported for all dependent and independent variables. Both linear regression and logistic regression were utilized to examine the six research questions. Variables were entered into the regression equations in five blocks: demographics, college plans, prior mathematics achievement, anticipated experiences and interactions, and noncognitive variables. The model proved to be statistically significant in explaining each of the six dependent measures of student success. Moreover after controlling for the first four blocks of independent variables, six of the eight noncognitive variables reached statistical significance in its relationship to at least one dependent variable, with at least one significant finding regarding the effects of noncognitive variables on each of the six outcome measures. The findings of the study suggest noncognitive variables are useful in predicting student success and persistence at least early in the community college experience. Future researchers, policymakers, and administrators will gain insights into the application of noncognitive variables with a population of community college students.