Download or read book A Predictive Model for the Repayment of Student Loans in Community Colleges written by James Schmidt and published by . This book was released on 2019-05-31 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: The problem of this study was to determine the relationship between selected variables which characterize community college students and student loan defaults and to develop a model using these variables to predict student loan payback. Given the current economic crisis and the increasing reliance on the student loan programs to help students meet educational expenses, a study of the importance of selected student demographic characteristics and their relationships to the student loan default problem is of great importance to the future support of the student loan programs. The literature provided a theoretical basis for this study including appropriate variables for study as predictors of student default. These variables included size of loan total, marital status, sex, grade point average, college standing, and age. The data presented in this study were supplied by the Florida Student Financial Aid Commission, Tallahassee, Florida, and represented a statewide sample of 7 6 community college students who have participated in the Guaranteed Student Loan program. Of the six variables selected, only the size of the loan total and marital status distinguished significantly those who repaid their student loans from those who did not. In addition to these variables, sex, grade point average, college standing, and age were useful in developing a prediction model. Although the model did not provide an infallible formula for predicting those students who are most likely to repay their student loans, the model predicted group membership (defaulter of non-defaulter) for 70% of the sample cases. These findings underscore Pattillo and Wiant's conclusion that items reflecting financial rather than biographical data appear to be better predictors of loan delinquency. Therefore, it appears that the inclusion of additional discriminating variables and a more detailed study design may be necessary in order to improve the identification of students who are likely to repay their student loans. Dissertation Discovery Company and University of Florida are dedicated to making scholarly works more discoverable and accessible throughout the world. This dissertation, "A Predictive Model for the Repayment of Student Loans in Community Colleges" by James A. Schmidt, was obtained from University of Florida and is being sold with permission from the author. A digital copy of this work may also be found in the university's institutional repository, IR@UF. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation.
Download or read book A Predictive Model for the Repayment of Student Loans in Community Colleges written by James A. Schmidt and published by . This book was released on 1983 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of this study was to determine the relationship between selected variables which characterize community college students and student loan defaults and to develop a model using these variables to predict student loan payback. Given the current economic crisis and the increasing reliance on the student loan programs to help students meet educational expenses, a study of the importance of selected student demographic characteristics and their relationships to the student loan default problem is of great importance to the future support of the student loan programs. The literature provided a theoretical basis for this study including appropriate variables for study as predictors of student default. These variables included size of loan total, marital status, sex, grade point average, college standing, and age. The data presented in this study were supplied by the Florida Student Financial Aid Commission, Tallahassee, Florida, and represented a statewide sample of 7 6 community college students who have participated in the Guaranteed Student Loan program. Of the six variables selected, only the size of the loan total and marital status distinguished significantly those who repaid their student loans from those who did not. In addition to these variables, sex, grade point average, college standing, and age were useful in developing a prediction model. Although the model did not provide an infallible formula for predicting those students who are most likely to repay their student loans, the model predicted group membership (defaulter of non-defaulter) for 70% of the sample cases. These findings underscore Pattillo and Wiant's conclusion that items reflecting financial rather than biographical data appear to be better predictors of loan delinquency. Therefore, it appears that the inclusion of additional discriminating variables and a more detailed study design may be necessary in order to improve the identification of students who are likely to repay their student loans.
Download or read book Predictive Model for the Repayment of Student Loans in Community Colleges written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Predictive Model for the Repayment of Student Loans in Community Colleges written by James A. Schmidt and published by Palala Press. This book was released on 2018-02-20 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Download or read book A Predictive Model of Student Loan Default at a Two Year Community College written by Chanda Denea Brown and published by . This book was released on 2015 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study explored whether a predictive model of student loan default could be developed with data from an institution's three-year cohort default rate report. The study used borrower data provided by a large two-year community college. Independent variables under investigation included total undergraduate Stafford student loan debt, total number of Stafford loan servicers, year of birth, gender, and last reported enrollment status at that institution. Two logistic regression analyses were conducted on stratified random samples to test and validate the resulting model. Descriptive statistics were calculated for the population overall, as well as generation-specific groups--millennial, generation X, and baby boomer. Results failed to develop a predictive model of student loan default. Additional research to identify other predictors of student loan repayment status would be beneficial for predicting student loan default and the development of default resolution plans. The following are appended: (1) 2011 Three-Year CDR Report Variables Defined; (2) Population Demographics and Relevant Statistics; (3) Millennial Generation Demographics and Relevant Statistics; (4) Generation X Demographics and Relevant Statistics; (5) Baby Boomer Demographics and Relevant Statistics; (6) Sample One Outputs and Data Tables; and (7) Sample Two Outputs and Data Tables.
Download or read book Student Loans and the Dynamics of Debt written by Brad Hershbein and published by W.E. Upjohn Institute. This book was released on 2015-02-23 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers included in this volume represent the most current research and knowledge available about student loans and repayment. It serves as a valuable reference for researchers and policymakers who seek a deeper understanding of how, why, and which students borrow for their postsecondary education; how this borrowing may affect later decisions; and what measures can help borrowers repay their loans successfully.
Download or read book The Guaranteed Student Loan Program in the California Community Colleges written by California Community Colleges. Financial Aid Policy Task Force and published by . This book was released on 1989 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Predicting college student loan repayment written by Salvador Humberto Gómez and published by . This book was released on 1978 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Relationship of Selected Student Borrower Characteristics to Propensity to Default on Stafford Guaranteed Student Loans and Implications for Policy Development written by Philomena V. Mantella and published by . This book was released on 1990 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Dissertation Abstracts International written by and published by . This book was released on 1996 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Impact of Financial Education on Community College Student Loan Debt written by Veronica R. Garcia and published by . This book was released on 2016 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: The student-loan market has surpassed 1.3 trillion dollars; rising student-loan cohort default rates are a growing concern among educational institutions. Many colleges are implementing financial-education programs for students to help increase their knowledge, aptitude, and skills so they may become informed consumers. Purpose/Objective/Research Question/Focus of Study: The purpose of this quantitative study was to examine the influence of financial education on community college students' loan borrowing decisions. Other variables evaluated included demographic characteristics (such as age, dependency status, enrollment status, ethnicity, first generation, gender, income, marital status, Pell grant, and/or veteran status) and completion of a financial-education course related to student-loan indebtedness. Setting and Population/Participants/Subjects: A community college in Oregon provided the site for this study. Federal financial-aid student-loan records and demographic data were collected from the college. Intervention/Program/Practice: The intervention involved a Personal Finance course (BA218) and/or a Financial Survival for College Students course (CG114). Groups of students were divided into those who completed BA218, those who completed CG114, those who completed both courses, and those who did not complete any financial-education course. Research Design: A quasi-experimental study was conducted that compared the four groups of federal student-loan borrowers as related to program intervention. The study endeavored to evaluate whether a relationship existed among demographics variables, course completion and student-loan indebtedness. Data Collection and Analysis: The populations sampled were federal financial-aid students who had applied for, and received, subsidized or unsubsidized student loans from the community college. Some student participants did not complete a financial-education course; others completed one or both financial-education courses. A one-way ANOVA was computed for all four student-loan-borrower groups to determine if the independent variables had a relationship with either completion or non-completion of financial-education courses. A regression model was also computed to determine the best predictor of completion of a financial-education course and its relationship to the dependent variables. The data analysis included t-tests and cross tabulations, which are descriptive statistics. Cross tabulations were done to determine the associations between the financial-education interventions and the demographic variables. Findings: The study concluded that completion of either, or both, financial-education courses would affect overall student-loan indebtedness, but in a negative direction. Those students who completed one or more financial-education courses tended to have higher student-loan debt than those who did not complete such courses. Gender, first generation, and Pell-grant recipients had the strongest relationships with completion of financial-education course and higher student-loan indebtedness within all groups analyzed. Conclusions/Recommendations: This study resulted in rejection of the null hypothesis that completion of a financial-education course(s) would not affect overall student-loan indebtedness for students who had completed the financial-education course. In fact, results demonstrated those who completed the course had a significantly higher student-loan debt than those who did not complete any financial-education course. Although, these results were unanticipated, they indicated that these interventions do not appear to be having the desired impact. Such a result may have occurred for several reasons. It may be that these financial-education courses were simply not effective. Alternatively, it may be that only the most needy students enroll in such a course, and completion of a financial-education course does not reduce the student-loan debt as compared to that of the average student. Through this study it was anticipated that financial education could be a solution to reducing student borrowing. Although the results did not provide the evidence to support this strategy, it did identify the need for further research; to assess the effectiveness of financial-education courses, the adult learning theories applied in the courses, and the training received by instructors who teach the courses. Financial-education cannot be the only strategy used by policy makers, administrators, and colleges to curb or slow down student-loan borrowing. Other measures should be considered such as enhancing the frequency of student disclosure statements. Such disclosure would increase students' awareness of how much they have borrowed. Another strategy would be to increase the funding for students to work on campus to pay off their education expenses. With soaring tuition costs and decreasing affordability to attend college, policymakers and college administrators need to take action now! If measures are not put into place the student-loan market may be the next financial bubble to burst and threaten the United States economy.
Download or read book Resources in Education written by and published by . This book was released on 1998 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multivariate Analysis of Student Loan Defaulters at Prairie View A M University written by Sandra Barone and published by . This book was released on 2006 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines the default behavior of 3,325 undergraduate student borrowers who attended Prairie View A&M University (PVAMU) and entered repayment on their TG-guaranteed Federal Family Education Loan Program (FFELP) loans between October 1, 2000 and September 30, 2002 (fiscal years 2001-2002). Using the Department of Education's official cohort default rate formula, 624 borrowers, or 18.8 percent, were in default. The study uses a statistical technique called multiple logistic regression to analyze the effects of individual student and family characteristics on the probability of default, while controlling for the effects of the other variables in the analysis. For students at PVAMU, success in college is the key to preventing student loan defaults. The three measures of success included in the final model: 1) persisting in college beyond the freshman year, 2) performing well while at the university, and 3) obtaining a degree, are all extremely important in decreasing a student's likelihood of default. These results suggest that expanding or intensifying campus-wide efforts to increase retention rates and providing both financial aid and academic counseling to students who perform poorly academically may be the most effective default aversion strategy for PVAMU. These college success variables provide almost all of the predictive power in the final model. However, the study finds that even after controlling for a student's success at PVAMU, a student's high school preparation and family income also have significant relationships to a student's probability of default. The students who are the least prepared academically (as measured by high school class rank percentile) and those who have the fewest financial resources (as measured by expected family contribution) are the most likely to default on their student loans (and the least likely to obtain a college degree). These students may require additional assistance in order to successfully transition to college life and will continue to need counseling and support in order to remain in s and complete their degrees. Appended are: (1) Sample Definition and Variable Descriptions; and (2) Standard Errors and Confidence Intervals. A bibliography is included. (Contains 2 tables and 14 footnotes.).
Download or read book The Effects of Tuition and Student Loan Policies on College Outcomes and Lifetime Earnings written by Junwen Liu and published by . This book was released on 2016 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: To increase college access and reduce the burden of student loan debt, the US government has developed several new tuition and student loan policies. These include the newly proposed free community college plan and the recently enacted Pay As You Earn plan that makes student loan repayments contingent on earnings. I develop and estimate a dynamic life-cycle model of the decisions individuals make with regard to schooling, work, savings and student loan borrowing. The model is estimated with micro-level US data and is used to evaluate the effects of these educational policies on education outcomes, lifetime earnings and welfare. My results show that the free community college plan benefits individuals from lower-income families the most, increasing their community college enrollment rate by 17 percentage points from 41 percent to 58 percent. However, it reduces the population proportion of individuals who achieve a bachelor's degree by 9 percent. The Pay As You Earn plan reduces labor supply in college, lowers the time it takes to complete a bachelor's degree, and enables individuals to attend higher-quality colleges. The overall education level is improved with the percent of individuals holding a bachelor's degree increasing from 31 to 33 percent. I also evaluate the effects of a hypothetical loan forgiveness plan for college dropouts, which is found to increase college enrollment but reduce college completion. Of the three policies, the Pay As You Earn plan achieves the highest welfare gain and reduces lifetime earnings inequality.
Download or read book An Analysis of the Relationship Between the Personal Characteristics of NDSL Recipients and Their Repayment Records in Selected Arkansas Community Colleges written by Jerry J. Cash and published by . This book was released on 1986 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book American Higher Education in the Twenty First Century written by Philip G. Altbach and published by JHU Press. This book was released on 2005-02-25 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition explores current issues of central importance to the academy: leadership, accountability, access, finance, technology, academic freedom, the canon, governance, and race. Chapters also deal with key constituencies -- students and faculty -- in the context of a changing academic environment.
Download or read book Comprehensive Dissertation Index written by and published by . This book was released on 1989 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt:
