Using factors of low income, parents' levels of education, and family composition as determinants of educationally at-risk status, study investigated differences between first generation, undergraduate college students from families in lowest quintile of income in the U.S, One group consisted of students from single-parent households and the other of students from two-parent households. Data were from CIRP 2003 College Student Survey (CSS) and its matched data from the Freshman Survey (Student Information Form - SIF). Differences examined included student inputs, involvements, outcomes, and collegiate environments. Included is portrait of low income, first generation college students who successfully navigated U.S. higher education. The number of cases dropped from 15,601 matched SIF/CSS cases to 308 cases of low income, first generation college students (175 from single-parent households and 133 from two-parent households). Most of the 308 attended private, 4-year colleges. Data yielded more similarities than differences between groups. Statistically significant differences (p < .05) existed in 9 of 100 variables including race/ ethnicity, whether or not English was first language, and concern for ability to finance education as freshman. Data were not generalizable to all low income, first generation college students because of lack of public, 4-year and 2-year colleges and universities in dataset. Graduating seniors' average expected debt in June 2003 was $23,824 for students from single-parent households and $19,867 for those from two-parent households. 32% from single-parent households and 22% from two-parent households expected more than $25,000 of debt. Variables used on SIF proved effective tools to develop derived variables to identify low income, first generation college students from single-parent and two-parent households within CIRP database. Methodology to develop derived variables is explained.

Trends in tuition and financial aid policy have increased the number of students who borrow for higher education and the aggregate debt students acquire. Most research on student borrowing over the years has analyzed the effects of borrowing and the prospects of indebtedness on individual students' choices and persistence. However, dynamics at the institutional level such as the need to ensure a stable flow of resources may accelerate or slow down student borrowing. Drawing on resource dependence theory, this study examined changes in student borrowing at private not for profit four year institutions in the US to identify trends and implications. A fixed effects regression analysis was applied to panel data from the Delta Cost project and the National Association of College and University Business Officers. Analytical focus was on the financial and enrollment characteristics of private not for profit four-year institutions, the relationship between these characteristics and student borrowing, and whether these relationships are stable or change over time. Findings revealed that the financial and enrollment characteristics of private not for profit institutions during the study period were characterized by gradual variation. The results also revealed that most of the financial characteristics were predictive of student borrowing and that these relationships vary with time. Evidence from this study cautions higher education policy makers that high tuition dependence and the attendant student loan burden may disadvantage some students. Policy makers concerned about providing equitable access to higher education to all student subpopulations should try to moderate competition among institutions and tuition rises that intensify student borrowing. Institutional practices such as tuition maximization and selective price discrimination must be moderated so that financial aid, including loans, can realize the objective of encouraging fairness and choice in higher education entry.

The purpose of this investigation was to determine the color preference of Thai and American students for text and background computer color combinations. The primary purpose of this study was to determine if there were differences between Thai and American students' computer color combination preferences.