Many high school students who want to attend college never actually enroll. Multiple factors like barriers (e.g., financial, discrimination) and poor academic achievement prevent some high school students from matriculating to college. Researchers must form a nuanced understanding of multidimensional factors that predict college enrollment. The…

The purpose of this quantitative study was to examine institutional actions that influence service use among SEAA community college students. More specifically, this study investigated the effects of access to services (service access), validating staff members (staff validation), and caring staff members (staff care) on the use of campus services…

Latinx student enrollment in college has dramatically increased in recent years, yet they are more likely than other racial groups to enroll at open access and public two-year institutions (Rodriguez, 2015). While public-two-year sector provides an encouraging postsecondary pathway for Latinx students, only 13% of all community college students…

Community college leaders face challenges due to a lack of persistence data concerning 2-year colleges, especially in rural settings, prompting these leaders to turn to national data sets to drive local institutional changes. The purpose of this study was to identify variables associated with student place-frame and academic integration which are…

In California, the combination of budget cuts and high unemployment from the Great Recession has resulted in "overcrowded" conditions, with more students attempting to enroll in fewer available classes. State-level policy recommendations have focused on altering registration priorities to mitigate the impact of overcrowding, but it is…

In California, the combination of budget cuts and high unemployment from the Great Recession has resulted in "overcrowded" conditions, with more students attempting to enroll in fewer available classes. State-level policy recommendations have focused on altering registration priorities to mitigate the impact of overcrowding, but it is…

Guided by the Theory of Planned Behavior (TPB) (Fishbein & Ajzen, 2010), our study aims to understand how community college transfer students' STEM degree attainment behavior is shaped by their beliefs, intentions, contextual factors and social-demographic characteristics. This study drew upon data from the Education Longitudinal Study of 2002…

The purpose of this research study was to identify demographic characteristics, academic factors, and student behaviors that contributed to successful degree and certificate completion for entirely online, nontraditional undergraduate students at a large community college. A discrete-time event history analysis was used to model the retention of…

Objective: To determine the prevalence of risk behaviors related to cigarette use, alcohol use, nutrition, physical fitness, and sexual behavior. Participants: Participants were 1,075 students attending an urban community college during the Spring 2012 semester. Methods: Data were collected in randomly selected classes using the American College…

This study describes student behavior through the actual assessment and placement (A&P) process. It then uses an alternative A&P policy that utilizes an additional measure that assesses prior math preparedness alongside subtest choice. Utilizing data from a community college that allows its' students to choose the assessment subtest used…

This study examined the early college success of students who graduated from an Indiana high school in 2010 and enrolled immediately in a public two-year or four-year college in Indiana. The study team identified data elements in Indiana's Student Information System that predicted the early college success of this cohort of students. Half of…

This study examined whether data on Indiana high school students, their high schools, and the Indiana public colleges and universities in which they enroll predict their academic success during the first two years in college. The researchers obtained student-level, school-level, and university-related data from Indiana's state longitudinal data…

One useful and increasingly popular method of classifying students is known commonly as cluster analysis. The variety of techniques that comprise the cluster analytic family are intended to sort observations (for example, students) within a data set into subsets (clusters) that share similar characteristics and differ in meaningful ways from other…

This study examines the effects of math readiness and student course behavior (e.g., attendance, participation, homework completion) on knowledge gain and course success using two samples of students enrolled in foundational skills (noncredit-bearing) mathematics courses. As hypothesized, entering student mathematics readiness and course behavior…

This exploratory study was designed to determine if a normative structure exists among a community college student body by extending the work of Caboni, Braxton, Deusterhous, Mundy, McClendon, and Lee (2005). The study also sought to determine if the level of espousal for the norms differed across student characteristics. This study analyzed data…