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Reflection/Commentary on a Past Article: “A Practical Iterative Framework for Qualitative Data Analysis”
Reflection/Commentary on a Past Article: “A Practical Iterative Framework for Qualitative Data Analysis”
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Reflection/Commentary on a Past Article: “A Practical Iterative Framework for Qualitative Data Analysis”
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Reflection/Commentary on a Past Article: “A Practical Iterative Framework for Qualitative Data Analysis”
Reflection/Commentary on a Past Article: “A Practical Iterative Framework for Qualitative Data Analysis”

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Reflection/Commentary on a Past Article: “A Practical Iterative Framework for Qualitative Data Analysis”
Reflection/Commentary on a Past Article: “A Practical Iterative Framework for Qualitative Data Analysis”
Journal Article

Reflection/Commentary on a Past Article: “A Practical Iterative Framework for Qualitative Data Analysis”

2018
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Overview
This submission is a reflection by Srivastava and Hopwood on their earlier article, A Practical Iterative Framework for Qualitative Data Analysis, originally published in International Journal of Qualitative Methods in 2009, and selected for the journal’s special anniversary issue, “Top 20 in 20.” They discuss how they have applied the framework in their various studies since then, Srivastava, primarily in field-based international research in education and global development, and Hopwood, in education and health. Based on a brief analysis of the paper’s citations, they identify its impact to have been: in a wide variety of fields crossing disciplinary boundaries, studies situated in a range of domestic and international contexts, studies analyzing data from intersectional perspectives and conducted with marginalized participant groups, referred to in methodological textbooks and publications, and used by researchers of all levels of experience, independently or in teams. They end by identifying what they consider to be key emerging topics associated with qualitative data analysis, Hopwood, on nonrepresentational and posthumanist perspectives and the implications of “postcoding,” and Srivastava on considering the agency of less privileged, marginalized, or vulnerable participants in data collection and analysis.