JOURNAL ARTICLE
A Brief Budgeting Intervention's Association With Financial Self-Efficacy in a College Student Success Course.
Published In: Journal of Financial Counseling & Planning, 2023, v. 34, n. 3. P. 393 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Harper, Casandra; Curs, Bradley R.; Beasley, Jared; Mao, Xinyi; Green, James R. 3 of 3
Abstract
This study examined whether a budgeting intervention offered in a student success course was related to self-reported changes in college students' financial self-efficacy, financial management behaviors, or financial stress. Participants from a midwestern public university were asked to complete an optional survey prior to the intervention and a postintervention survey 6 weeks after the intervention. Descriptive analyses were used to determine whether students' responses significantly changed over time. The budgeting intervention was positively and significantly related to financial self-efficacy; however, students' self-reported financial management behaviors and financial stress did not significantly change. The results lend support for the role that a financial literacy and budgeting intervention can play in relation to college students' financial self-efficacy among a sample of students who did not specifically self-select into a financial information course and with a relatively short-term and low-cost intervention that can be easily replicated. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Financial Counseling & Planning. 2023/11, Vol. 34, Issue 3, p393
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2023
- ISSN:1052-3073
- DOI:10.1891/JFCP-2022-0060
- Accession Number:173467870
- Copyright Statement:Copyright of Journal of Financial Counseling & Planning is the property of Springer Publishing Company, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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