A note on the psychometric properties of the Learning Styles Questionnaire (LSQ)

Angus Duff

Accounting Education, 2001, vol. 10, issue 2, 185-197

Abstract: The objective of this study is to examine some psychometric properties of Honey and Mumford's (1992 The Manual of Learning Styles. Maidenhead: Peter Honey) Learning Styles Questionnaire (LSQ) and therefore its potential utility for accounting education research. Prior research in other cognate disciplines (managers; US business undergraduates) suggests that the LSQ may be preferable to Kolb's Learning Style Inventory (LSI) and Revised LSI. However, little measurement information exists regarding the application of the LSQ in higher education. The present study uses samples of undergraduate accounting students (N = 127) at a UK university. Evidence of only modest internal consistency reliability is reported. The construct validity of the scores produced by the instrument is not supported by the results of the present study. Limitations and implications for the use of the LSQ by accounting education researchers are discussed.

Keywords: Learning Styles Questionnaire Learning Styles Experiential Learning Model Reliability Validity (search for similar items in EconPapers)
Date: 2001
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/09639280110095764 (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:10:y:2001:i:2:p:185-197

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAED20

DOI: 10.1080/09639280110095764

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 ().