Computer-supported qualitative research

Cogin, Julie and Ng, Ju Li (2016). Computer-supported qualitative research. In Keith Townsend, Rebecca Loudoun and David Lewin (Ed.), Handbook of qualitative research methods on Human Resource Management: innovative techniques (pp. 221-234) Cheltenham, United Kingdom: Edward Elgar Publishing. doi:10.4337/9781784711184.00027

Author Cogin, Julie
Ng, Ju Li
Title of chapter Computer-supported qualitative research
Title of book Handbook of qualitative research methods on Human Resource Management: innovative techniques
Place of Publication Cheltenham, United Kingdom
Publisher Edward Elgar Publishing
Publication Year 2016
Sub-type Chapter in reference work, encyclopaedia, manual or handbook
DOI 10.4337/9781784711184.00027
Open Access Status Not yet assessed
Year available 2016
Series Handbooks of Research Methods in Management
ISBN 9781784711184
Editor Keith Townsend
Rebecca Loudoun
David Lewin
Chapter number 16
Start page 221
End page 234
Total pages 14
Total chapters 18
Language eng
Abstract/Summary For many years, qualitative analysis has largely been undertaken using manual techniques. Since the late 1980s, dedicated software has been developed to aid qualitative analysis. The first generation of computer programs was largely designed to assist researchers in managing data by enabling the structuring of information from focus groups, field notes and interviews. One of the first computer-assisted qualitative data analysis software (CAQDAS) packages (developed by Australian academic Tom Richards) was called NUD*IST, which stands for Non-numerical Unstructured Data Indexing, Searching and Theorising. It was designed to provide a program like SPSS but as a non-Statistical Package for Social Scientists. Second generation CAQDAS packages introduced functions for coding text and manipulating, searching and reporting on the coded text. This assisted researchers in the retrieval of text from data, enabled scholars to code that data and develop a system of relating codes to each other using tree-like structures.
Keyword Hrm
Q-Index Code BX
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Book Chapter
Collection: UQ Business School Publications
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Created: Tue, 17 Apr 2018, 12:02:39 EST by Julie Cogin on behalf of Learning and Research Services (UQ Library)