Straightforward and insightful, this is the go-to book for any qualitative researcher who wants to use NVivo to conduct robust data analysis.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Jenine Beekhuyzen OAMhas more than 20 years of experience working with NVivo and its predecessors, using it for her own doctorate, and training thousands of doctoral students and others to use it for systematic literature reviews and empirical data analysis. Having created and led the NGO Tech Girls Movement Foundation for a decade, based on 20+ years of research on the lack of women in STEM, Jenine now creates community through Research Central, her online community of practice helping doctoral students fast track their research. She shares her expertise in qualitative research, having collaborated for decades with universities, governments and industry and as an active, highly published honorary academic at prestigious universities with honorary roles at the University of Queensland, the University of Technology Sydney, and Griffith University. She has more than 65 peer reviewed academic publications, and, among other accolades, was awarded an Order of Australia Medal in 2020 for her contributions to information technology, and to women.
Inhaltsangabe
Chapter 1: Where to begin? Chapter 2: Navigating NVivo Chapter 3: Teamwork Chapter 4: Literature and interview text-files Chapter 5: Working with pictures, audio and video Chapter 6: Working with demographics, surveys, and social media files Chapter 7: Coding foundations Chapter 8: Cases, classifications and comparisons Chapter 9: Coding beyond basics Chapter 10: Querying data Chapter 11: Visualisations and reporting on patterns in your data
Chapter 1: Where to begin? Chapter 2: Navigating NVivo Chapter 3: Teamwork Chapter 4: Literature and interview text-files Chapter 5: Working with pictures, audio and video Chapter 6: Working with demographics, surveys, and social media files Chapter 7: Coding foundations Chapter 8: Cases, classifications and comparisons Chapter 9: Coding beyond basics Chapter 10: Querying data Chapter 11: Visualisations and reporting on patterns in your data
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