Secondary qualitative data analysis in the health and social sciences

Despite a long history in quantitative research, it is only recently that enthusiasm for secondary analysis of qualitative data has gained momentum across health and social science disciplines.

Involving the use of an existing dataset to answer research questions that are different from those asked in the original study, this method allows researchers to once again make use of their hard-earned qualitative dataset and to listen to their participants' voices to the best of their ability in order to improve care and promote understanding.

As secondary qualitative data analysis continues to evolve, more methodological guidance is needed.

This book outlines three approaches to secondary data analysis and addresses the key issues that researchers need to wrestle with, such as ethical considerations, voice, and representation.