Abdul Hafidz Haji Omar
Faculty of Education
Zubaidah Awang
Faculty of Management and Human Resource
Development
Universiti Teknologi Malaysia
Skudai, Johor
Date: 26 October 2001
Time: 11.00-11.30
Software packages were first used in qualitative data analysis in the
early 1980s (Kelle, 1995). The introduction of software packages
such as NUD*IST, Nvivo, ATLAS, Ethnograph, etc provide a more 'convenient'
form of data anlaysis compared to the more laborious task of data analysis
associated with the traditional methods. However, the earlier versions
of these packages were not able to meet the users' needs. Kelle (1997)
argues that most of these packages acted as tools to mechanize tasks such
as ordering and archiving texts rather than as tools for data analysis.
As such users had a tendency to cease the use of specific software rather
that adopt it when analyzing data (Lee & Fielding, 1996). In
addition, the need for special training, the cost and the "non-user
friendly' nature of the software packages also impeded many qualitative
researchers from using these packages. The recent versions of these
software packages, however, have more advanced and complex features that
facilitate the analysis of complex qualitative data in terms of their advanced
and more convenient storage and retrieving system. At the same time,
it also acts as a tool for theory building in qualitative research.