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In the qualitative element thirty-five face-to-face interviews were carried out with women councillors elected to local government office in England. The data on which this paper are based are drawn from the author's study of gender and local politics which consisted of both qualitative and quantitative parts1). In addition, THOMPSON & BARRETT (1997, p.60) suggest that in their approach to qualitative data analysis, known as Summary Oral Reflective Analysis (SORA), the main aim is to retain the context of qualitative data, and this "facilitates actually 'hearing' what the data have to say rather than splicing them into arbitrary units before searching for topics, themes or meanings" (emphasis added). For example, MAUTHNER and DOUCET (1998, p.135), in their research into postnatal depression and motherhood respectively, say that "the decision to 'cut up' the transcripts was a difficult moment in our research". The point at which this happens differs, and some researchers are almost reluctant to break the data down. To begin with, though, there is usually agreement that most researchers will "organise" the data (MILLER, 2000), which can be done by coding text and breaking it down into more manageable chunks. MASON (1996) suggests that in practice many researchers would use a combination of the above approaches.
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Whichever of these three possible approaches is taken by researchers they face a choice of using either manual and/or computer assisted methods in their data analysis and this paper will discuss the advantages and disadvantages of both. Finally, the reflexive approach attempts to focus attention on the researcher and her or his contribution to the data creation and analysis process. The second approach is concerned with making sense of research participants' accounts, so that the researcher is attempting to interpret their meaning. The first approach is an analysis process that focuses on, for example, the exact use of particular language or grammatical structure. For example, MASON (1996, p.54) outlines three possible approaches labelling them "literal", "interpretive", and "reflexive".
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There are many different approaches to qualitative data analysis and these have been widely debated in the social sciences literature (BRYMAN & BURGESS, 1994 COFFEY & ATKINSON, 1996 DEY, 1993 MASON, 1996 MILES & HUBERMAN, 1994 SILVERMAN, 1993 STRAUSS, 1987). Computer Assisted Qualitative Data Analysis Approaches to Qualitative Data Analysisģ. Key words: reliability, validity, NVivo, qualitative data analysis, women local councillorsġ.
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It is shown that a combination of both manual and computer assisted methods is likely to achieve the best results.
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The time investment required in order to make full use of NVivo's tools will also be discussed. In particular, this paper will consider the difficulties surrounding interrogation of interview transcripts and will assess issues of reliability and validity in the data analysis process. This paper will compare manual techniques in the qualitative data analysis of interview transcripts with the use of NVivo.
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Computer assisted qualitative data analysis software (CAQDAS) has been seen as aiding the researcher in her or his search for an accurate and transparent picture of the data whilst also providing an audit of the data analysis process as a whole-something which has often been missing in accounts of qualitative research. Abstract: This paper will assess the way in which a qualitative data analysis software package-NVivo-can be used in the data analysis process.