The Implications of Qualitative ‐ Research Software for Doctoral Work Considering the Individual and Institutional Context
Judith R. Davidson, Cynthia Jacobs
Abstract
Judith R. Davidson, Cynthia Jacobs
Abstract
As qualitative researchers struggle to come to grips with the technological revolution, they are faced with the necessity of learning and teaching qualitative data analysis software in higher education research courses. This change has significant implications for their practice as researchers and teachers. In this article we provide experienced‐based recommendations for individual practice (research instructors, dissertation advisers, and doctoral students) and for institutional practice (scaling up for deep integration of qualitative data analysis software). Our recommendations are grounded in hard‐earned experience gleaned from many years of working with individuals and institutional contexts to improve the use of qualitative research in higher education.
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As qualitative researchers struggle to come to grips with the technological revolution, they are faced with the necessity of learning and teaching qualitative data analysis software in higher education research courses. This change has significant implications for their practice as researchers and teachers. In this article we provide experienced‐based recommendations for individual practice (research instructors, dissertation advisers, and doctoral students) and for institutional practice (scaling up for deep integration of qualitative data analysis software). Our recommendations are grounded in hard‐earned experience gleaned from many years of working with individuals and institutional contexts to improve the use of qualitative research in higher education.
Key concepts: Qualitative research, Context (archaeology), Sociology, Qualitative property, Grounded theory, Engineering ethics, Higher education, Work (physics)