No description available.

An increasing number of developmental students are attending colleges, however, little is known about their reasons for enrolling. A motivational orientation measure was used in this study to compare reasons why developmental and non-developmental students enrolled in courses at three colleges: Hampton Institute, Old Dominion University, and a two-year community college. These students were also compared on selected demographic variables (age, race, income, year graduated from high school, high school grade average). A survey method was used to collect data which included a demographic questionnaire and a modified version of Boshier's Education Participation Scale, a measure of the extent to which 40 reasons influence students to attend college. The responses of 934 subjects were factor analyzed and six clusters of motivational factors were identified. Comparison of raw factor scores and mean factor scores on six derived motivational factors scales were made for developmental and non-developmental subjects through a series of t-Tests and Analysis of Variance procedures. The Scheffé post hoc analysis was used to determine directionality of significance. Demographics (age, income) were treated the same way. The study found that developmental and non-developmental students were similar in their motivational orientations within and also across institutions. Developmental and non-developmental students were found to be more different on selected demographic variables within institutions than they were between institutions. / Ed. D.

In this thesis a prediction model using graduation rate as the performance indicator is obtained for community colleges for three cohort years, 2003, 2004, and 2005 in the states of California, Florida, and Michigan. Multiple Regression analysis, using an aggregate of seven predictor variables, was employed in determining this prediction model. From this prediction model, a predicted graduation rate was obtained for each of the 142 institutions in this study. Using this predicted graduation rate, an Institutional Performance Ratio (IPR), was then calculated for each institution, by dividing the actual graduation rate for each institution by its predicted graduation rate. These IPR values were then used to classify the performance of each institution as meeting expectation, exceeding expectation or falling below expectation. Inter institutional comparisons were also made using these IPR values. / by Susan Moosai. / Thesis (Ph.D.)--Florida Atlantic University, 2010. / Includes bibliography.

The purpose of this study was to examine the relationship of selected student background variables and traits with academic persistence of first-time, full-time, Native American students enrolled at a major Southwestern university from the 1988 to 1990 school years. The predictors associated with persistence of Native American students were identified by use of the Student Information Form, a survey questionnaire devised by Cooperative Institutional Research Program (CIRP, 1990). The survey was administered during each Fall semester Freshmen Orientation to a total of 275 Native American students, 147 of whom voluntarily returned the questionnaire. Of this group, 83 questionnaires constituted the sample. The research centered on an examination of probability for six predictors and five psychological characteristics with academic persistence used as a dependent variable. The six predictors were: (1) high school grade point average, (2) American College Test (ACT) scores, (3) residence status, (4) parental income, (5) parental education, and (6) financial aid. The Logistic Regression Analysis was utilized to analyze data, and the obtained findings indicated that there was no significant correlation between Native American students' high school grade point average, ACT scores, parental income, parental education, residency, or financial aid and their academic persistence at a Southwestern university between 1988 to 1990. The analyses suggested a significant correlation between remaining at a university for four or more semesters and leadership, attitude, and values, and future goals. These three factors appeared to be the best predictors of academic persistence for Native American students.

As community colleges have gained more recognition as a viable pathway for students to enter higher education, they have faced greater accountability that has prompted both practitioners and policy makers to attempt to find solutions and tools, such as National Survey of Student Engagement, Community College Survey of Student Engagement, and Survey of Entering Student Engagement (SENSE), to aid in improving student success outcomes. This study addressed the validity and reliability of the SENSE instrument using a three-pronged approach via student data collected over 3 years of SENSE administrations at a large urban community college (n = 4,958). The instrument was first factor analyzed against the SENSE benchmarks for effective educational practice through generalized least squares and principal component exploratory factor analysis. Although the instrument did not deliver a chi-square factored fit for the six benchmark categories, consistent loadings were observed. Second, construct reliability was tested for each benchmark category, and the survey as a whole using Cronbach’s alpha. All categories did not yield sufficient coefficient scores for establishing construct reliability. However, the overall survey produced a Cronbach’s alpha of .85, clearly indicating construct reliability for all items combined. Third, correlations between SENSE perception scores and community college students’ grade point averages, fall to fall retention, semester credit hours, course completion for developmental and college gateway courses, and degree and certificate completion were calculated. Although no strong correlations were observed, the SENSE may be useful to community colleges seeking to increase completion rates.

Purpose: The purpose of this study was to determine if traditional indicators of college readiness were better predictors of students’ first semester college GPA and persistence to the second year of coursework compared to non-traditional indicators of college readiness. Specifically, this study analyzed the predictive validity of high school class rank and ACT/SAT scores compared to that of the psychosocial skills measured by the ACT Engage on students’ first semester college GPA and their likelihood of enrollment in the second year of college coursework. Methodology: Linear and logistic regression models were used to examine the effect of gender, age, ethnicity, socioeconomic status, high school rank, Texas Success Initiative college readiness scores, SAT or ACT scores, and the ten themes of the ACT Engage Inventory (dependent variables), on students’ first semester college GPA and rate of persistence to the second year (independent variables). A sample of 4,379 first semester college freshmen participated in this study. Findings: Results indicated that high school rank, ACT/SAT scores and psychosocial skills measured by the ACT Engage theme academic discipline were accurate predictors of college performance. Results regarding the predictive power of traditional academic and non-traditional psychosocial predictors of persistence were less definitive. Students qualifying for federal financial assistance and female students showed the greatest likelihood of not returning for the second year of college. Research Limitations: One limitation of this study occurred because separate ethnicities were not evaluated as independent variables. Additionally, further research should occur regarding the relationship between the independent variables of gender and socioeconomic status and the dependent variable persistence. Practical Implications: Due to the predictive power of high school class rank, college entrance exam scores, and the psychosocial skill of academic discipline, educators and policy makers should design targeted preparation and support initiatives around improving students’ skills in these areas. Recommendations for such initiatives were provided. Value of Paper: This paper is valuable to educators at the secondary school and university levels because results can be used to design preparation and support programs in order to improve students’ performance and persistence at the college level.

A research report submitted to the Faculty of Humanities, University of the Witwatersrand, Johannesburg in partial fulfillment of the requirements for the degree of Masters in Education (Educational Psychology). / Although various policies have been implemented to lessen the impact of Apartheid on all levels of education since 1994, sub-Saharan Africa still has the lowest level of higher education enrolment in the world (Bloom, Canning & Chan, 2006). This study therefore aimed to identify which factors contributed to students' university enrolment in South Africa and how these factors affected their academic success at university. A self-developed questionnaire assessing factors influencing enrolment for three key areas (personal, parental and schooling) was administered to 337 psychology one students registered at the University of the Witwatersrand and academic success was estimated using their psychology one mark for the first semester. Data was analysed using frequency counts, Spearman's correlations and two independent sample t-tests. Results showed that intrinsic and extrinsic motives had the greatest influence on individuals' decision to attend university, with those students intrinsically motivated performing better on average than those motivated by any other factor. In addition, socio-economic status played a role in success at university, possibly because it affects the quantity and quality of resources available to an individual. As a result, those students' with a higher socio-economic status tended to do better than those of lower socio-economic status. Further analysis indicated that fluency in English also had an effect on student's overall success. / AC2017

This dissertation research focuses on assessing student behavior, academic emotions, and knowledge within a middle school online learning environment, and analyzing potential effects on students’ interests and choices related to decisions about going to college. Using students’ longitudinal data ranging from their middle school, to high school, to postsecondary years, this dissertation uses quantitative methodologies to investigate antecedents to college attendance that occur as early as middle school. The dissertation asks whether student behavior, academic emotions, and learning as early as middle school can be predictive of college attendance years later. This is investigated by developing predictive and structural models of said outcomes, using assessments of learning, emotions and engagement from student interaction data from an online learning environment they used in their middle school curriculum. The same middle school factors are also assessed with self-report measures of course choices, interests in college majors and careers formed when they were in high school. The dissertation then evaluates how student choices and interests in high school can mediate between the educational experiences students have during middle school and their eventual college attendance, to give a fuller illustration of the cognitive and non-cognitive mechanisms that students may experience throughout varied periods in school. Such understanding may provide educators with actionable information about a students’ in-depth experiences and trajectories within the college pipeline.

Small private colleges represent a unique and important element of diversity within American higher education. Their small size, heavy dependence on tuition, and limited resources, have caused them to be repeatedly identified as singularly threatened with enrollment declines. Despite these predictions the evidence indicates that most of these colleges survived the 1980s and many thrived. This study had two major goals. The first was the characterization of institutions within the population during the 1980s with regards to environmental characteristics, institutional attributes and academic strategic actions. The second was the description of the relationships between these variables and enrollment changes in the 1980s. The population was composed of Liberal Arts I and II colleges with independent ownership and average Fall, 1980 enrollment between 100 and 1000. This study utilized data from two primary sources; a questionnaire distributed to academic officers, and several self-reported, public domain sources. The survey was distributed to all 294 institutions in the population with 219 returned (74% completion rate). Basic descriptive statistics were used to characterize the population. A list of statistically and substantively significant variables were identified using a set of criteria for causal inference. Factor analysis was utilized to develop factors from the significant variables and these factors were entered into a multiple regression model to explain variance in enrollment growth. These colleges were located in highly populated areas shared with many institutions offering two- and four-year degrees. Nearly three-fourths of the academic programs at these institutions were classified as liberal arts in 1989. The 1980s saw an increase in the number and proportion of professional programs and the number of programs for "non-traditional" students. These colleges added Associates and Masters degrees, and increased the number and proportion of graduate students. The selectivity of nearly 90% of these institutions was minimally or moderately difficult in 1989 and 84% were church-related. Two categories of environmental characteristics were related to enrollment changes in the 1980s. The first was the size of the immediate community, and the second was the level of local competition. Community size was the only environmental factor which substantively explains any of the variation in 1980s enrollment change. Four factors were identified which characterized the relationship of institutional attributes and enrollment changes in the 1980s. These factors were; the age of students, the balance of professional and liberal arts programs, and two variables related to institutional image. Collectively, three of the four factors explain ten percent of the variance in 1980s enrollment change. Eight factors characterized institutional actions influencing enrollments. These factors include adult programs and policies, institutional student selectivity, internal activities focused on traditional student pools, non-traditional student support and recruitment, non-traditional program development, changes in institutional policies (calendar and directed studies), addition of graduate programming, and increase in transfer students. Collectively, factors one, two, three, five, and eight explain over 30% of the variance in 1980s enrollment change. When all fourteen of these factors were entered into a multiple regression model, the six factors that loaded were; student selectivity, traditional student responses, nontraditional programming, transfer students, average student age, and community size. These factors explained nearly 35% of the variance in 1980s enrollment change. These findings indicate that the greatest influences on enrollment change in the 1980s were related to non-traditional students. Those institutions which showed increases in non-traditional programs, non-traditional students, and average student age, showed the greatest increase in enrollments. Those institutions located in rural regions and those which reported the use of more traditional institutional responses to enrollment challenges (e.g. freshman advising programs) showed lower enrollment gains. Finally, higher levels of student selectivity co varied significantly with enrollment rates.

Earning a college degree has been shown to have a number of positive socioeconomic impacts on individuals and society as a whole. Although researchers acknowledge that the decision to attend college is a complex process involving multiple factors, studies have focused primarily on individual reasons as part of a linear college choice paradigm. Individual obstacles to college attendance that consistently emerge in this strand of research include academic preparation, socioeconomic status, cost, family background, parental influence, motivation, and guidance counselor support (Harris & Halpin, 2002). College attendance rates are particularly low among students living in rural areas. Nationwide, only 59 percent of students from rural America choose to attend college, compared to 62 percent of their urban counterparts and 67 percent of students from suburban areas. (National Student Clearinghouse, 2015). The purpose of this study was to examine the college decision-making process of high school students in rural Vermont to better understand why fewer than 61 percent choose to attend college, despite more than 90 percent aspiring to do so at some point during their K-12 academic career (VSAC, 2016). A qualitative ethnographic case study approach was used to provide a unique student-focused perspective on the complexities of the college-decision making process as they go through it during their senior year of high school. A series of in-depth interviews were conducted with 10 students at two rural high schools throughout their senior year as they wrestled with an influx of information from multiple sources creating a series of pushes and pulls from guidance counselors, family members and friends with varying motives. Individual case study analyses were conducted on the following three groups of students based on their level of commitment to attend college at the start of their senior year: College Confident, College Considering and College Conflicted. A cross-case analysis of those three groups was also conducted. The result is a detailed account of how students in each group internalized and acted upon new information about their post-secondary plans, which depended heavily on when they received it, who they received it from and its quality. In most cases, the experience proved to be a frustrating, convoluted process that waxed and waned with each new piece of information. Ultimately, students made final college-going decisions based heavily on a combination of information that was not always accurate, sometimes misleading, and on the advice of at least one parent they perceived as having their best interest in mind.