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88  V Braun and V Clarke

             meanings are created, rather than simply a  ing and interpretative skills needed to ana-
             mechanical act of putting spoken sounds on  lyse the data (Lapadat and Lindsay, 1999). If
             paper (Lapadat and Lindsay, 1999).         your data have already been, or will be,
               Various conventions exist for transforming  transcribed for you, it is important that you
             spoken texts into written texts (see Edwards  spend more time familiarising yourself with
             and Lampert, 1993; Lapadat and Lindsay,    the data, and also check the transcripts back
             1999). Some systems of transcription have  against the original audio recordings for
             been developed for specific forms of analysis  ‘accuracy’ (as should always be done).
              / such as the ‘Jefferson’ system for CA (see
             Atkinson and Heritage, 1984; Hutchby and   Phase 2: generating initial codes
             Wooffitt, 1998). However, thematic analysis,  Phase 2 begins when you have read and
             even constructionist thematic analysis, does  familiarized yourself with the data, and have
             not require the same level of detail in the  generated an initial list of ideas about what
             transcript as conversation, discourse or even  is in the data and what is interesting about
             narrative analysis. As there is no one way to  them. This phase then involves the produc-
             conduct thematic analysis, there is no one set  tion of initial codes from the data. Codes
             of guidelines to follow when producing a   identify a feature of the data (semantic
             transcript. However, at a minimum it re-   content or latent) that appears interesting
             quires a rigorous and thorough ‘ortho-     to the analyst, and refer to ‘the most basic
             graphic’ transcript  / a ‘verbatim’ account of  segment, or element, of the raw data or
             all verbal (and sometimes nonverbal  / eg,  information that can be assessed in a mean-
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             coughs) utterances. What is important is   ingful way regarding the phenomenon’
             that the transcript retains the information  (Boyatzis, 1998: 63). See Figure 1 for an
             you need, from the verbal account, and in a  example of codes applied to a short segment
             way which is ‘true’ to its original nature (eg,  of data. The process of coding is part of
             punctuation added can alter the meaning of  analysis (Miles and Huberman, 1994), as you
             data  / for example ‘I hate it, you know. I do’  are organising your data into meaningful
             versus ‘I hate it. You know I do’, Poland,  groups (Tuckett, 2005). However, your
             2002: 632), and that the transcription con-  coded data differ from the units of analysis
             vention is practically suited to the purpose of  (your themes), which are (often) broader.
             analysis (Edwards, 1993).                  Your themes, which you start to develop in
               As we have noted, the time spent in      the next phase, are where the interpretative
             transcription is not wasted, as it informs  analysis of the data occurs, and in relation to
             the early stages of analysis, and you will  which arguments about the phenomenon
             develop a far more thorough understanding  being examined are made (Boyatzis, 1998).
             of your data through having transcribed it.  Coding will, to some extent, depend on
             Furthermore, the close attention needed to  whether the themes are more ‘data-driven’
             transcribe data may facilitate the close read-  or ‘theory-driven’  / in the former, the

                        Data extract                            Coded for
                        it's too much like hard work I mean how much paper have you got to sign  1. Talked about with partner
                        to change a flippin’ name no I I mean no I no we we have thought about it
                        ((inaudible)) half heartedly and thought no no I jus- I can’t be bothered,  2. Too much hassle to change name
                        it’s too much like hard work. (Kate F07a)
             Figure 1 Data extract, with codes applied (from Clarke et al., 2006)
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