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Using thematic analysis in psychology  89

             themes will depend on the data, but in the  lost (Bryman, 2001); and (c) remember that
             latter, you might approach the data with   you can code individual extracts of data in
             specific questions in mind that you wish to  as many different ‘themes’ as they fit into  /
             code around. It will also depend on whether  so an extract may be uncoded, coded once,
             you are aiming to code the content of the  or coded many times, as relevant. Note that
             entire data set, or whether you are coding to  no data set is without contradiction, and a
             identify particular (and possibly limited)  satisfactory thematic ‘map’ that you will
             features of the data set. Coding can be    eventually produce  / an overall conceptua-
             performed either manually or through a     lization of the data patterns, and relation-
                                                                           9
             software programme (see, eg, Kelle, 2004;  ships between them    / does not have to
             Seale, 2000, for discussion of software    smooth out or ignore the tensions and
             programmes).                               inconsistencies within and across data
               Work systematically through the entire   items. It is important to retain accounts
             data set, giving full and equal attention to  that depart from the dominant story in the
             each data item, and identify interesting   analysis, so do not ignore these in your
             aspects in the data items that may form    coding.
             the basis of repeated patterns (themes)
             across the data set. There are a number of  Phase 3: searching for themes
                                                        Phase 3 begins when all data have been
             ways of actually coding extracts. If coding  initially coded and collated, and you have a
             manually, you can code your data by writ-  long list of the different codes that you have
             ing notes on the texts you are analysing,  identified across the data set. This phase,
             by using highlighters or coloured pens to  which re-focuses the analysis at the broader
             indicate potential patterns, or by using   level of themes, rather than codes, involves
             ‘post-it’ notes to identify segments of data.  sorting the different codes into potential
             You may initially identify the codes, and  themes, and collating all the relevant coded
             then match them with data extracts that    data extracts within the identified themes.
             demonstrate that code, but it is important in  Essentially, you are starting to analyse your
             this phase to ensure that all actual data  codes and consider how different codes
             extracts are coded, and then collated to-  may combine to form an overarching theme.
             gether within each code. This may involve  It may be helpful at this phase to use visual
             copying extracts of data from individual   representations to help you sort the differ-
             transcripts or photocopying extracts of    ent codes into themes. You might use tables,
             printed data, and collating each code to-  or mind-maps, or write the name each code
             gether in separate computer files or using  (and a brief description) on a separate piece
             file cards. If using computer software, you  of paper and play around with organizing
             code by tagging and naming selections of   them into theme-piles. A thematic map of
             text within each data item.                this early stage can be seen in Figure 2 (the
               Key advice for this phase is: (a) code for as  examples in Figures 2 /4 come from the
             many potential themes/patterns as possible  analysis presented in Braun and Wilkinson,
             (time permitting)  / you never know what   2003 of women’s talk about the vagina).
             might be interesting later; (b) code extracts  This is when you start thinking about the
             of data inclusively  / ie, keep a little of the  relationship  between  codes,  between
             surrounding data if relevant, a common     themes, and between different levels of
             criticism of coding is that the context is  themes (eg, main overarching themes and
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