Secondary Qualitative Data Analysis in the Health and Social Sciences

Secondary Qualitative Data Analysis in the Health and Social Sciences
Author :
Publisher : Routledge
Total Pages : 200
Release :
ISBN-10 : 9781351581059
ISBN-13 : 1351581058
Rating : 4/5 (59 Downloads)

Book Synopsis Secondary Qualitative Data Analysis in the Health and Social Sciences by : Cheryl Tatano Beck

Download or read book Secondary Qualitative Data Analysis in the Health and Social Sciences written by Cheryl Tatano Beck and published by Routledge. This book was released on 2019-01-15 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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