Difference between revisions of "King2010"
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|BibType=ARTICLE | |BibType=ARTICLE | ||
|Author(s)=Andrew King | |Author(s)=Andrew King | ||
− | |Title= | + | |Title=“Membership matters”: applying membership categorisation analysis (MCA) to qualitative data using computer-assisted qualitative data analysis (CAQDAS) software |
|Tag(s)=EMCA; Membership Categorization Analysis; Qualitative methods; Computer-Assisted Qualitative Data Analysis | |Tag(s)=EMCA; Membership Categorization Analysis; Qualitative methods; Computer-Assisted Qualitative Data Analysis | ||
|Key=King2010 | |Key=King2010 |
Latest revision as of 10:38, 25 November 2019
King2010 | |
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BibType | ARTICLE |
Key | King2010 |
Author(s) | Andrew King |
Title | “Membership matters”: applying membership categorisation analysis (MCA) to qualitative data using computer-assisted qualitative data analysis (CAQDAS) software |
Editor(s) | |
Tag(s) | EMCA, Membership Categorization Analysis, Qualitative methods, Computer-Assisted Qualitative Data Analysis |
Publisher | |
Year | 2010 |
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Journal | International Journal of Social Research Methodology |
Volume | 13 |
Number | 1 |
Pages | 1–16 |
URL | Link |
DOI | 10.1080/13645570802576575 |
ISBN | |
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Abstract
This paper introduces and outlines a methodology that may be unfamiliar to some qualitative researchers: Membership Categorisation Analysis (MCA). The first section of the paper explains the basic principles of MCA and why it is a valid method for exploring the power of categorisations in texts and talk. Additionally, it explains why MCA differs from other forms of qualitative data analysis. The second section begins with a discussion of why researchers might or might not use Computer‐Assisted Qualitative Data Analysis (CAQDAS) Software. Subsequently, a detailed description of how MCA was applied to qualitative data using the CAQDAS software package NVivo is outlined. To provide examples, this paper draws on a project that used MCA to analyse the interview accounts of 25 young people who had taken a Gap Year between leaving school and beginning university. The paper concludes that qualitative researchers should consider using MCA and that CAQDAS is a useful tool to aid its application.
Notes