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'Membership matters': applying Membership Categorisation Analysis (MCA) to qualitative data using Computer-Assisted Qualitative Data Analysis (CAQDAS) Software

King, A (2010) 'Membership matters': applying Membership Categorisation Analysis (MCA) to qualitative data using Computer-Assisted Qualitative Data Analysis (CAQDAS) Software International Journal of Social Research Methodology, 13 (1). pp. 1-16.

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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.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > Department of Sociology
Authors :
AuthorsEmailORCID
King, AUNSPECIFIEDUNSPECIFIED
Date : 1 January 2010
Identification Number : 10.1080/13645570802576575
Uncontrolled Keywords : Social Sciences, Social Sciences, Interdisciplinary, Social Sciences - Other Topics, Membership categorisation analysis, CAQDAS, NVivo, Qualitative, Gap Year, CONVERSATION, KNOWLEDGE, MORALITY, GENDER, TALK, WORK
Related URLs :
Additional Information : This is an electronic version of an article published as King A (2010). 'Membership matters': applying Membership Categorisation Analysis (MCA) to qualitative data using Computer-Assisted Qualitative Data Analysis (CAQDAS) Software. International Journal of Social Research Methodology 13(1):1-16 Available online at: http://www.tandfonline.com/toc/tsrm20/13/1
Depositing User : Symplectic Elements
Date Deposited : 10 Jul 2013 14:33
Last Modified : 23 Sep 2013 20:08
URI: http://epubs.surrey.ac.uk/id/eprint/774133

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