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Ravalier PhD Theis.pdf - Anglia Ruskin Research Online

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of questions, and completely unstructured interviews resemble more conversational data, and as such should be<br />

analysed as such. <strong>Research</strong>ers engage in projects involving the interpretation of semi-structured data for a variety<br />

of reasons including exploration, description, comparison, and theory testing and building amongst other reasons<br />

(Bazeley, 2007). Semi-structured interviews are conducted with a fairly open framework which allow for focussed,<br />

two-way communications which are based broadly around particular interview schedules, with not all questions<br />

designed and phrased ahead of time. In this manner interesting themes and concepts which arise whilst<br />

conversing can be investigated with more thorough questioning, allowing both the interviewer and interviewee the<br />

flexibility to probe for details or discuss specific issues (Banister et al., 2006).<br />

Semi-structured interviewing is primarily a qualitative approach to data collection, where this data collection<br />

technique is seen as one of the best ways to collect data for interpretative analysis (Smith, 2007). The aim of<br />

semi-structured interviews may be to explore precisely where it is believed there are gaps in the research allowing<br />

a researcher to tailor an approach better than with more structured means (i.e. by modifying questions in light of<br />

answers given; Banister et al., 2006). In addition to this an interview has a set of questions on an interview<br />

schedule, but the interview schedule is guided by this structure as opposed to dictated by it (as in the case of<br />

structured interviews, Smith, 2007). Importantly the use of semi-structured interviews facilitates the building of<br />

rapport with the participant, thus helping to get over problems such as respondents being motivated to lie and give<br />

false information etc (Smith, 2007). This interview methodology can also allow the exploration of complex issues<br />

that may be too complex to investigate through quantitative means given that quantitative methods attempt to<br />

simplify phenomena, meaning it can misrepresent the nature of the questions under investigation (Banister et al.,<br />

2006). Furthermore, interviews can be used at any stage of the research process, e.g. as part of piloting and

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