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Qualitative data analysis with NVivo /

By: Bazeley, Patricia.
Contributor(s): Jackson, Kristi.
Material type: TextTextPublisher: London . : Sage . ; 2013Edition: Second edition.Description: xviii, 307 pages : ill . ; 24 cm.ISBN: 9781446256558; 1446256553; 9781446256565; 1446256561; 9781446282489; 1446282481.Subject(s): Qualitative research | Qualitative Research | Software | Electronic Data Processing | computer software | methods | research | data analysis | General | Social sciences | Kwalitatieve gegevens | Data-analyse | NVivo | Acquisition automatique des données | Analyse des données | Kvalitativ metod | Forskningsmetodik | Samhällsvetenskap | Datorprogram | DatabehandlingDDC classification: 001.4220285 Online resources: Click here to access online
Contents:
Perspectives : qualitative computing and NVivo -- Starting out, with a view ahead -- Designing an NVivo database -- Coding basics -- Going on with coding -- Cases, classifications, and comparisons -- Working with multimedia sources -- Adding reference material to your NVivo project -- Datasets and mixed methods -- Tools and strategies for visualizing data -- Using coding and queries to further analysis -- Teamwork with NVivo.
Summary: The authors use worked examples throughout to guide the reader on how best to incorporate the latest version of NVivo into every stage of the research process.
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Books Books SCHOOL OF HEALTH AND MEDICAL SCIENCES LIBRARY

School of Health and Medical sciences Library Mbweni

Library shelves
non fiction 001.422 BAZ (Browse shelf) Available M000004746
Books Books SCHOOL OF HEALTH AND MEDICAL SCIENCES LIBRARY

School of Health and Medical sciences Library Mbweni

Library shelves
non fiction 001.422 BAZ (Browse shelf) Available M000004747

"Previous edition published 2007."

Perspectives : qualitative computing and NVivo -- Starting out, with a view ahead -- Designing an NVivo database -- Coding basics -- Going on with coding -- Cases, classifications, and comparisons -- Working with multimedia sources -- Adding reference material to your NVivo project -- Datasets and mixed methods -- Tools and strategies for visualizing data -- Using coding and queries to further analysis -- Teamwork with NVivo.

The authors use worked examples throughout to guide the reader on how best to incorporate the latest version of NVivo into every stage of the research process.

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