Online from: 2004
Subject Area: Accounting and Finance
Options: To add Favourites and Table of Contents Alerts please take a Emerald profile
|Title:||Lessons learned: advantages and disadvantages of mixed method research|
|Author(s):||Mary A. Malina, (University of Colorado Denver, Denver, Colorado, USA), Hanne S.O. Nørreklit, (Department of Business Studies, University of Århus, Århus, Denmark), Frank H. Selto, (Leeds School of Business, University of Colorado at Boulder, Boulder, Colorado, USA)|
|Citation:||Mary A. Malina, Hanne S.O. Nørreklit, Frank H. Selto, (2011) "Lessons learned: advantages and disadvantages of mixed method research", Qualitative Research in Accounting & Management, Vol. 8 Iss: 1, pp.59 - 71|
|Keywords:||Qualitative research, Quantitative research, Research methods|
|DOI:||10.1108/11766091111124702 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
Purpose – The purpose of this paper is first, to discuss the theoretical assumptions, qualities, problems and myopia of the dominating quantitative and qualitative approaches; second, to describe the methodological lessons that the authors learned while conducting a series of longitudinal studies on the use and usefulness of a specialized balanced scorecard; and third, to encourage researchers to actually use multiple methods and sources of data to address the very many accounting phenomena that are not fully understood.
Design/methodology/approach – This paper is an opinion piece based on the authors' experience conducting a series of longitudinal mixed method studies.
Findings – The authors suggest that in many studies, using a mixed method approach provides the best opportunity for addressing research questions.
Originality/value – This paper provides encouragement to those who may wish to bridge the authors' ideological gaps and to those who are actively trying to do so.
Existing customers: login
to access this document
To purchase this item please login or register.
Complete and print this form to request this document from your librarian