Making visible the coding process: Using qualitative data software in a poststructural study

Qualitative research methods require transparency to ensure the ‘trustworthiness’ of
the data analysis. The intricate processes of organizing, coding and analyzing the
data are often rendered invisible in the presentation of the research findings, which
requires a ‘leap of faith’ for the reader. Computer assisted data analysis software can
be used to make the research process more transparent, without sacrificing rich,
interpretive analysis by the researcher. This article describes in detail how one
software package was used in a poststructural study to link and code multiple forms
of data to four research questions for fine-grained analysis. This description will be
useful for researchers seeking to use qualitative data analysis software as an analytic
tool.