A Predictive Model for the Repayment of Student Loans in Community Colleges (Hardcover)
Language: English
Published by Dissertation Discovery Company, 2019
- Hardcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
£ 147.32
Quantity: 1 available
Add to basketItem description from seller
Hardcover. 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, IRatUF. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
Seller Inventory # 9780530006451
- Title
- A Predictive Model for the Repayment of Student Loans in Community Colleges (Hardcover)
- Author
- James Schmidt
- Publisher
- Dissertation Discovery Company
- Publication year
- 2019
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0530006456
- ISBN 13
- 9780530006451
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.
"Synopsis" may belong to another edition of this title.
AussieBookSeller
Truganina, VIC, Australia
AbeBooks seller since June 22, 2007
Shipping rates from Australia to U.S.A.
| Item | 25 to 45 business days | 8 to 14 business days |
|---|---|---|
| First item | £ 27.35 | £ 32.53 |
Payment methods
Seller's business information
The Nile Group Pty Ltd
42 Apex Drive
Truganina, VIC Australia 3029
Terms of sale
We guarantee the condition of every book as it's described on the Abebooks web sites. If you're dissatisfied with your purchase (Incorrect Book/Not as Described/Damaged) or if the order hasn't arrived, you're eligible for a refund within 30 days of the estimated delivery date. If you've changed your mind about a book that you've ordered, please use the Ask bookseller a question link to contact us and we'll respond within 2 business days.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to AussieBookSeller, Truganina, Victoria, Australia, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Please note that titles are dispatched from our UK and NZ warehouse. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 8-15 days.