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Analyzing Qualitative Data with MAXQDA

Text, Audio, and Video

  • Udo Kuckartz
  • Stefan Rädiker
Textbook

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Udo Kuckartz, Stefan Rädiker
    Pages 1-11
  3. Udo Kuckartz, Stefan Rädiker
    Pages 13-20
  4. Udo Kuckartz, Stefan Rädiker
    Pages 21-39
  5. Udo Kuckartz, Stefan Rädiker
    Pages 41-49
  6. Udo Kuckartz, Stefan Rädiker
    Pages 51-64
  7. Udo Kuckartz, Stefan Rädiker
    Pages 65-81
  8. Udo Kuckartz, Stefan Rädiker
    Pages 83-91
  9. Udo Kuckartz, Stefan Rädiker
    Pages 93-106
  10. Udo Kuckartz, Stefan Rädiker
    Pages 107-122
  11. Udo Kuckartz, Stefan Rädiker
    Pages 123-134
  12. Udo Kuckartz, Stefan Rädiker
    Pages 135-149
  13. Udo Kuckartz, Stefan Rädiker
    Pages 171-186
  14. Udo Kuckartz, Stefan Rädiker
    Pages 201-217
  15. Udo Kuckartz, Stefan Rädiker
    Pages 219-229
  16. Udo Kuckartz, Stefan Rädiker
    Pages 231-252
  17. Udo Kuckartz, Stefan Rädiker
    Pages 253-265
  18. Udo Kuckartz, Stefan Rädiker
    Pages 267-282
  19. Udo Kuckartz, Stefan Rädiker
    Pages 283-290

About this book

Introduction

This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group comparisons and the creation of literature reviews. The book is intended for masters and PhD students as well as researchers and practitioners dealing with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics.

Keywords

Qualitative data MAXQDA Qualitative data analysis Mixed methods Mixed data Visualization Coding frames Focus groups Document analysis Video analysis Transcription Survey data MAXMaps Text analysis

Authors and affiliations

  • Udo Kuckartz
    • 1
  • Stefan Rädiker
    • 2
  1. 1.BerlinGermany
  2. 2.VerdenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-15671-8
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Social Sciences
  • Print ISBN 978-3-030-15670-1
  • Online ISBN 978-3-030-15671-8
  • Buy this book on publisher's site