Chapter 9: An interdisciplinary approach to secondary qualitative data analysis: what, why and how
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This chapter provides a critical understanding of secondary qualitative data analysis. It begins my providing a definition of this data analysis approach and its advantages to respond to the current global availability of readily datasets. The chapter recognises the challenges of limitations of secondary data analysis in terms of data quality, ethics and data protection; however, alternatives and solutions are provided of how to best respond to these challenges to achieve the maximum advantage of this method applicable to a variety of disciplines and research topics. Supported by a case study, the chapter provides a detailed description of the research process carried out using qualitative secondary data analysis from design to dissemination. Overall this is a flexible method with huge potential to advance knowledge in a variety of fields with other advantages such as cost-effectiveness and a capacity rapid knowledge to inform policy and practice. It is hoped that this chapter will encourage, support and advance secondary data analysis as a method and provides an opportunity to advance and learn from its application in practice.

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