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essential-guide-to-qualitative-in-organizational-research

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–––––––––––––––––––––––––––––––––––––––––––––––––––– DISCOURSE ANALYSIS –––––––––– 207newspaper articles, extracts from health care brochures, and transcripts of conversations. Theseare ‘natural’ texts <strong>in</strong> the sense that they are the products of mundane <strong>in</strong>teractions or everydaytext production. However, <strong>in</strong> the case of <strong>organizational</strong> <strong>research</strong>, while there are manyopportunities <strong>to</strong> collect such everyday texts, such as <strong>in</strong>-house magaz<strong>in</strong>es and snatches ofconversation, most often the <strong>research</strong>er has a specific question <strong>in</strong> m<strong>in</strong>d and will probably becollect<strong>in</strong>g ‘text’ <strong>in</strong> the form of <strong>in</strong>terview data.Interview data needs <strong>to</strong> be fully transcribed for analysis. Some discourse analystsrecommend the use of special notations <strong>to</strong> <strong>in</strong>dicate pauses, overlap between speakers, andother paral<strong>in</strong>guistic features of the text. The method set out <strong>in</strong> this chapter does not requirethis amount of detail <strong>in</strong> the transcription, as the focus for analysis is on content, more thanprocess (see Hollway, 1989 for a further discussion of this issue).SAMPLE AND SAMPLE SIZE ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––If collect<strong>in</strong>g text for discourse analysis via <strong>in</strong>terviews, typically only a relatively small sampleof respondents will be <strong>in</strong>volved <strong>in</strong> the study. This is because the focus is on the text, not the<strong>in</strong>dividual and because the aim is <strong>to</strong> provide an <strong>in</strong>-depth analysis that is focused onexplanation, rather than generalization. However, as has already been mentioned, if attempt<strong>in</strong>g<strong>to</strong> identify a specific discourse, it is important <strong>to</strong> be able <strong>to</strong> demonstrate that the discourse doesexist as a set of regulated statements. If this is <strong>to</strong> be achieved through exam<strong>in</strong><strong>in</strong>g whatrespondents say, then it is advisable <strong>to</strong> use a grounded theory approach <strong>to</strong> sampl<strong>in</strong>g (Glaserand Strauss, 1967).Thus, for example, if the <strong>research</strong>er believed he or she had identified a discourse that wasbe<strong>in</strong>g used <strong>to</strong> construct a specific version of some particular social object (say nurs<strong>in</strong>g practice),he or she would then need <strong>to</strong> <strong>in</strong>terview a number of other nurses, from differen<strong>to</strong>rganizational and personal contexts (for example, age, seniority, role, ward type, and so on)<strong>in</strong> order <strong>to</strong> identify whether this discourse was also used by <strong>in</strong>dividuals <strong>in</strong> these groups, orwhether different discourses were used. The contextual features of the text production canthen be used <strong>in</strong> the analysis <strong>to</strong> expla<strong>in</strong> any variations thus identified.Analys<strong>in</strong>g how a discourse is used <strong>to</strong> construct a certa<strong>in</strong> version of reality and expla<strong>in</strong><strong>in</strong>gwhy it is be<strong>in</strong>g used <strong>in</strong> this way can be carried out on one text or several, depend<strong>in</strong>g on thescope and scale of the <strong>research</strong>. In the application example below, for <strong>in</strong>stance, the analysisis carried out on one extract, though the discourses used <strong>in</strong> the analysis were identified us<strong>in</strong>ga larger sample of 16 participants.CONDUCTING AN INTERVIEW IN A DISCOURSE ANALYTIC STUDY ––––––––––––––––––––––––––––––––In critical discourse analysis, it is vital that the <strong>research</strong>er realizes that no matter how <strong>in</strong>formallythey present themselves and no matter what their own epistemological stance is <strong>to</strong> theknowledge production process, the participant is likely <strong>to</strong> position the <strong>research</strong>er accord<strong>in</strong>g<strong>to</strong> their own personal beliefs. Simply put, the participant makes a social read<strong>in</strong>g of the<strong>in</strong>terview and the <strong>in</strong>terviewer and this has a fundamental effect on the nature of the dataproduced, which needs <strong>to</strong> be accounted for with<strong>in</strong> the analysis. This is illustrated <strong>in</strong> theapplication example below.

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