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Secondary Qualitative Data Analysis in the Health and Social Sciences (Hardcover)
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Secondary Qualitative Data Analysis in the Health and Social Sciences (Hardcover)
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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.
Given that researchers have long known the inordinate amount of
time and energy invested in conducting qualitative research, the
appeal of secondary analysis of qualitative data is clear.
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. Intellectual and interpretive hazards that can
jeopardize the outcome of these analyses are highlighted and
discussed, as are the criteria for assessing their quality and
trustworthiness. Written as a thought-provoking guide for
qualitative researchers from across the health and social sciences,
this text includes a review of the state of the science in nursing
and a number of in-depth illustrative case studies.
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