'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.
King 2010 Membership Matters Pre publication version.pdf
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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.
|Divisions :||Faculty of Arts and Social Sciences > Department of Sociology|
|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|
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