Difference between revisions of "King2010"
PaultenHave (talk | contribs) (Created page with "{{BibEntry |BibType=ARTICLE |Author(s)=Andrew King |Title=‘Membership matters’: applying Membership Categorisation Analysis (MCA) to qualitative data using Computer-Assist...") |
AndreiKorbut (talk | contribs) |
||
| (One intermediate revision by the same user not shown) | |||
| Line 2: | Line 2: | ||
|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 | ||
| Line 10: | Line 10: | ||
|Number=1 | |Number=1 | ||
|Pages=1–16 | |Pages=1–16 | ||
| − | |Abstract=This paper introduces and outlines a methodology that may be unfamiliar to some | + | |URL=http://www.tandfonline.com/doi/abs/10.1080/13645570802576575 |
| − | qualitative researchers: Membership Categorisation Analysis (MCA). The first | + | |DOI=10.1080/13645570802576575 |
| − | section of the paper explains the basic principles of MCA and why it is a valid | + | |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. |
| − | 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 | ||
| − | 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. | ||
}} | }} | ||
Latest revision as of 10:38, 25 November 2019
| King2010 | |
|---|---|
| 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 |
| Language | |
| City | |
| Month | |
| Journal | International Journal of Social Research Methodology |
| Volume | 13 |
| Number | 1 |
| Pages | 1–16 |
| URL | Link |
| DOI | 10.1080/13645570802576575 |
| ISBN | |
| Organization | |
| Institution | |
| School | |
| Type | |
| Edition | |
| Series | |
| Howpublished | |
| Book title | |
| Chapter | |
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
