Measuring the Academic Self-Efficacy of First-year Accounting Students
Marann Byrne,
Barbara Flood and
Julie Griffin
Accounting Education, 2014, vol. 23, issue 5, 407-423
Abstract:
This study measured the levels of academic self-efficacy of first-year accounting students. It also investigated whether there were any gender differences and the extent to which efficacy levels explained variation in academic performance. Overall the analysis revealed that many students lacked the confidence to participate fully in the academic activities associated with their accounting modules. Specifically, they were reluctant to seek help, they lacked the confidence to study effectively or to engage in independent reading and note-taking, and 40% of them were unable to judge the standard required to do well in examinations. The findings demonstrated that being confident in one's ability to understand the course content, to attempt questions in advance of tutorials, and to meet deadlines were associated with achieving significantly better results in the accounting modules. Interestingly, very few gender differences were identified. The paper concludes by considering the implications of the findings for accounting educators.
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://hdl.handle.net/10.1080/09639284.2014.931240 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:accted:v:23:y:2014:i:5:p:407-423
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAED20
DOI: 10.1080/09639284.2014.931240
Access Statistics for this article
Accounting Education is currently edited by Richard Wilson
More articles in Accounting Education from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().