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E-RESOURCE
Author Jackson, Kristi Dr., author.

Title Qualitative data analysis with NVivo.

Published Los Angeles : SAGE, 2019.

Copies

Location Call No. Status
 UniM INTERNET Resource    AVAILABLE
Edition Third edition. / edited by Pat Bazeley, Kristi Jackson.
Physical description 1 online resource
Notes Previous edition: 2013.
Bibliography Includes bibliographical references and index.
Contents Chapter 1: Where to begin?<br />Chapter 2: Designing an NVivo project<br />Chapter 3: Coding foundations<br />Chapter 4: Advanced coding<br />Chapter 5: Cases, classifications and comparisons<br />Chapter 6: Surveys and mixed methods<br />Chapter 7: Querying data<br />Chapter 8: Literature reviews and PDF files<br />Chapter 9: Working with multimedia files<br />Chapter 10: Twitter, Facebook, YouTube and web pages<br />Chapter 11: Teamwork<br />Chapter 12: Moving on -- further resources<br />
Summary Engaging and accessible, this book offers students a complete guide to using NVivo for qualitative data analysis. Drawing on their wealth of expertise, the authors offer detailed, practical advice that relates to students' own experience and research projects. Packed with real-world examples and case studies, the book supports students through every stage of qualitative data analysis. The third edition contains fully integrated instructions for using NVivo on both Mac and PC, with screenshots and click-by-click guidance, seamlessly interweaves theory and practice in easy-to-follow steps, empowers students to develop their critical thinking. Accompanied by video tutorials for both Mac and PC, web links and a host of other helpful online resources, this step-by-step book removes students' anxiety about tackling data analysis. Whether for advanced researchers or those approaching the task for the first time, this clear, yet comprehensive guide is the perfect companion for anyone doing qualitative data analysis with NVivo.
Other author Bazeley, Patricia, editor.
Jackson, Kristi, editor.
Subject Qualitative research -- Data processing.
Computer science.
Electronic data processing.
ISBN 9781526478474 (ePub ebook)
1526478471
9781526449931 (hbk.)
9781526449948 (pbk.)
9781526478498 PDF
1526478498 PDF

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