Computer-aided qualitative data analysis: panacea or paradox?

Blismas, N and Dainty, A 2003, 'Computer-aided qualitative data analysis: panacea or paradox?', Building Research and Information, vol. 31, no. 6, pp. 455-463.

Document type: Journal Article
Collection: Journal Articles

Title Computer-aided qualitative data analysis: panacea or paradox?
Author(s) Blismas, N
Dainty, A
Year 2003
Journal name Building Research and Information
Volume number 31
Issue number 6
Start page 455
End page 463
Total pages 9
Publisher Taylor and Francis
Abstract Following the methodological debate within the construction management research community in the 1990s, research studies adopting inductive methodologies have increased. Many such projects have adopted computer-aided qualitative data analysis in order both to facilitate the research process and to ensure methodological rigour and transparency. However, there remains a paucity of critical discourse within the construction management research literature about the impact of such approaches on the depth and rigour of the resulting analyses. This paper posits that so-called computer-aided approaches have the potential to affect detrimentally the outcomes of construction management research if researchers see such tools as a panacea for ensuring the rigour and transparency of their work. Paradoxically, computer-aided approaches often restrict rather than aid the analytical process. The paper draws upon the authors' experiences of using a leading package from which a number of considerations for the use of computers in qualitative data analysis are discussed. It is concluded that the research community would benefit from an open debate on whether computer packages really do provide a panacea to the analysis of qualitative data in applied construction management research projects or whether their use merely provides a label with which to convince sceptical positivists of the rigour of inductive research techniques.
Subject Building Construction Management and Project Planning
Keyword(s) data analysis
qualitative research
research methods.
DOI - identifier 10.1080/0961321031000108816
ISSN 0961-3218
Version Filter Type
Citation counts: Scopus Citation Count Cited 15 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 293 Abstract Views  -  Detailed Statistics
Created: Mon, 06 Dec 2010, 11:15:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us