Qualitative data analysis
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TLDR
There are some common threads that run across most of these common threads in the analysis of qualitative research, and this Research Made Simple piece will focus on some of them.Abstract:
Good qualitative research uses a systematic and rigorous approach that aims to answer questions concerned with what something is like (such as a patient experience), what people think or feel about something that has happened, and it may address why something has happened as it has. Qualitative data often takes the form of words or text and can include images.
Qualitative research covers a very broad range of philosophical underpinnings and methodological approaches. Each has its own particular way of approaching all stages of the research process, including analysis, and has its own terms and techniques, but there are some common threads that run across most of these approaches. This Research Made Simple piece will focus on some of these common threads in the analysis of qualitative research.
So you have collected all your qualitative data – you may have a pile of interview transcripts, field-notes, documents and …read more
Citations
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Journal ArticleDOI
Qualitative Quality: Eight “Big-Tent” Criteria for Excellent Qualitative Research
TL;DR: In this paper, the authors present a model for quality in qualitative research that is uniquely expansive, yet flexible, in that it makes distinc- tions among qualitative research's means (methods and practices) and its ends.
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Exploitation-Exploration Tensions and Organizational Ambidexterity: Managing Paradoxes of Innovation
TL;DR: This work seeks to learn from five, ambidextrous firms that lead the product design industry and presents nested paradoxes of innovation: strategic intent, customer orientation, and personal drivers (discipline-passion), which help manage these interwoven paradoxes and fuel virtuous cycles of ambidexterity.
Journal ArticleDOI
Does sample size matter in qualitative research?: A review of qualitative interviews in IS research
TL;DR: Little or no rigor for justifying sample size was shown for virtually all of the IS studies in this dataset, implying the subjective nature of sample size in qualitative IS studies.
Journal ArticleDOI
Facebook® and academic performance
TL;DR: Results show that Facebook(R) users reported having lower GPAs and spend fewer hours per week studying than nonusers, and its relation to academic performance as measured by self-reported Grade Point Average (GPA) and hours spent studying per week.
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Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations
TL;DR: The historical development, architectural design and component functionalities of big data analytics, including analytical capability for patterns of care, unstructured data analytical capability, decision support capability, predictive capability and traceability are examined.
References
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Book
Qualitative Data Analysis: An Expanded Sourcebook
TL;DR: This book presents a step-by-step guide to making the research results presented in reports, slideshows, posters, and data visualizations more interesting, and describes how coding initiates qualitative data analysis.
Book ChapterDOI
Qualitative data analysis for applied policy research
Jane Ritchie,Liz Spencer +1 more
TL;DR: The last two decades have seen a notable growth in the use of qualitative methods for applied social policy research as discussed by the authors, which is underpinned by the persistent requirement in social policy fields to understand complex behaviours, needs, systems and cultures.
Journal ArticleDOI
Qualitative data analysis for health services research: developing taxonomy, themes, and theory.
TL;DR: Qualitative inquiry can improve the description and explanation of complex, real-world phenomena pertinent to health services research as they use these methods themselves or collaborate with qualitative researchers from a wide range of disciplines.
Journal ArticleDOI
Three techniques for integrating data in mixed methods studies
TL;DR: Techniques designed to combine the results of qualitative and quantitative studies can provide researchers with more knowledge than separate analysis.