Qualitative Data Analysis with ATLAS.ti

Inbunden, Engelska, 2019

AvSusanne Friese

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Now updated to cover latest versions and featuring instructions for both Mac and Windows users, this book is still the go-to source of support for getting to grips with qualitative data analysis using ATLAS.ti.

With over twenty years of experience using, developing, and teaching ATLAS.ti, Susanne Friese is the perfect data analysis tour guide. Aware of common challenges and sticking points, she eases readers from readying and organizing data into coding and querying it, providing not only tips on how to prepare for analysis, but also the tools and technical know-how needed to observe, examine, and discuss data. Placing quick software ‘skills training’ tutorials alongside different stages of the data analysis process, she gives readers the opportunity to integrate software training with their actual analysis.

Produktinformation

Utgivningsdatum2019-04-05
Mått170 x 242 x 23 mm
Vikt730 g
FormatInbunden
SpråkEngelska
Antal sidor344
Upplaga3
FörlagSAGE Publications
ISBN9781526446237

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Susanne Friese is a scholar of qualitative methods with a long track record in research, teaching, and methodological development. Her work spans interpretive approaches, and the evolution of computer assisted analysis. In recent years, she has become a leading voice in rethinking how qualitative analysis is done in an era shaped by artificial intelligence. Her focus lies on dialogue-based inquiry, transparency, and the integration of AI in ways that strengthen rather than replace human interpretation.

IntroductionChapter 1: The process of computer-assisted analysisChapter 2: Getting to know ATLAS.tiChapter 3: Embarking on the journey - data and project managementChapter 4: Technical aspects of codingChapter 5: Creating a coding schemeChapter 6: Querying the data and further steps in the data analysis processChapter 7: Recognizing and visualizing relationships - working with networksChapter 8: Compiling the final report - the last phase of the writing processChapter 9: Team work