Qualitative data analysis : key approaches / Peter A. J. Stevens.
Contributor(s): Stevens, Peter [editor.].
Material type:
TextPublisher: London : SAGE, 2023Edition: First.Description: xiii, 386 str. : ilustr. tabele ; 24 cm.ISBN: 9781529730425.Subject(s): metodologija - kvalitativna analiza podataka | kvalitativna analiza podataka - kritička analiza diskursa ; metoda utemeljene teorije ; narativna analiza ; kvalitativna usporedna analiza ; kvalitativna analiza sadržaja ; tekstna analiza ; tematska analiza | NVivo softwareOnline resources: Sadržaj i opis (SAGE) Summary: "With numerous approaches to choose from, knowing where to start when doing qualitative data analysis (QDA) can be a challenge. This book gives you direction with an accessible and thorough introduction to nine different approaches to QDA, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods. With a clear focus on the 'how to' of QDA, each chapter includes: Step-by-step descriptions of how to apply each approach in your research Online and in-text activities to help you practice your skills Annotated reading lists so you can dig deeper into key topics Case studies from a range of disciplines so you can see how each approach works in practice. The perfect companion on your journey through QDA, the book also offers a comprehensive introduction to the use of NVivo QDA software, helping both new and experienced researchers get to grips with the essentials"--
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Knjiga
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Knjižnica FFZG 2. kat, etnologija | Etnologija | CD02 QUA (Browse shelf) | Checked out | 2023-09-16 | 1305303987 |
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"With numerous approaches to choose from, knowing where to start when doing qualitative data analysis (QDA) can be a challenge. This book gives you direction with an accessible and thorough introduction to nine different approaches to QDA, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods. With a clear focus on the 'how to' of QDA, each chapter includes: Step-by-step descriptions of how to apply each approach in your research Online and in-text activities to help you practice your skills Annotated reading lists so you can dig deeper into key topics Case studies from a range of disciplines so you can see how each approach works in practice. The perfect companion on your journey through QDA, the book also offers a comprehensive introduction to the use of NVivo QDA software, helping both new and experienced researchers get to grips with the essentials"--
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