Qualitative Data Analysis with ATLAS.ti

Nonfiction, Social & Cultural Studies, Social Science, Methodology, Reference & Language, Reference, Research
Cover of the book Qualitative Data Analysis with ATLAS.ti by Susanne Friese, SAGE Publications
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Author: Susanne Friese ISBN: 9781526454980
Publisher: SAGE Publications Publication: March 22, 2019
Imprint: SAGE Publications Ltd Language: English
Author: Susanne Friese
ISBN: 9781526454980
Publisher: SAGE Publications
Publication: March 22, 2019
Imprint: SAGE Publications Ltd
Language: English

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. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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. 

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