
Qualitative and Mixed Methods Data Analysis Using Dedoose®: A Practical Approach for Research Across the Social Sciences Second
Author(s): Michelle Salmona (Author), Dan Kaczynski (Author), Sara E. Grummert (Author)
- Publisher Finelybook 出版社: SAGE Publications, Inc
- Publication Date 出版日期: March 10, 2026
- Edition 版本: Second
- Language 语言: English
- Print length 页数: 408 pages
- ISBN-10: 1071949934
- ISBN-13: 9781071949931
Book Description
The Second Edition has been updated to include expanded case studies, updated pedagogy, and new content on team-based analysis, data visualization, and reporting reflect the latest capabilities of Dedoose®.
Editorial Reviews
Editorial Reviews
Review
About the Author
Dr. Michelle Salmonaserves as President (co-founder) of the Institute for Mixed Methods Research (IMMR) with an academic appointment as Adjunct Professor at the University of Canberra, Australia. She has authored multiple books and academic papers including her book co-authored with Dan Kaczynski and Eli Lieber Qualitative and Mixed Methods Data Analysis Using Dedoose: A Practical Approach for Research Across the Social Sciences. Michelle has been working for over 20 years as a mentor in writing about strong research, and a teacher in qualitative data analysis and the use of Qualitative Data Analysis Software (QDAS). In addition, she is a credentialed project management professional (PMP) and senior fellow of the Higher Education Academy, United Kingdom.
Michelle is a specialist in qualitative and mixed methods research design and analysis, and works as an international consultant in: program evaluation; research design; and mixed-methods and qualitative data analysis using digital tools. Her research focus is to better understand how to support doctoral success and strengthen the research process; and build data-driven decision-making capacity through technological innovation. Recent research includes exploring the changing practices of qualitative research during the dissertation phase of doctoral studies, and investigating how we bring learning into the use of technology during the research process. Michelle is currently working on projects with researchers from education, information systems, business communication, leadership, and finance.
Professor Dan Kaczynski is Professor Emeritus at Central Michigan University and a senior research fellow at the IMMR. He is currently an adjunct professor supervising doctoral candidates at the University of Canberra, Australia. His research interests promote technological innovations in qualitative and mixed methods data analysis in the social sciences in the United States and Australia.
Dan is a program evaluation consultant and has more than 20 years’ experience conducting state, national, and international evaluations. Leadership roles include K-12 and higher education administration and research center director with extensive experience as principal investigator of more than $35 million in grant awards. His work has been shared professionally with more than 250 professional presentations nationally and internationally. He has written more than 50 published research articles and eight books and book chapters. In addition, he has supervised over 100 doctoral dissertations and professional specialist theses.
finelybook
