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Qualitative and Mixed Methods Data Analysis Using Dedoose
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Qualitative and Mixed Methods Data Analysis Using Dedoose
A Practical Approach for Research Across the Social Sciences



September 2019 | 280 pages | SAGE Publications, Inc
Qualitative and Mixed Methods Data Analysis Using Dedoose®: A Practical Approach for Research Across the Social Sciences provides both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed methods and qualitative inquiry using Dedoose® software. The authors use their depth of experience designing and updating Dedoose® as well as their published research to give the reader practical strategies for using Dedoose® from a wide range of research studies. Case study contributions by outside researchers provide readers with rich examples of how to use Dedoose® in practical, applied social science and health settings. 
 
Foreword by Lyn Richards
 
Preface
 
Acknowledgments
 
Glossary: Dedoose Common Terms
 
About the Authors
 
PART I FOUNDATIONS OF MIXED METHODS RESEARCH
 
Chapter 1 Using Mixed Methods and Dedoose
1.1 About This Book  
1.2 Mixed Methods and Mixed Paradigms  
1.3 Using Cloud Technology to Support Mixed Methods Research  
1.4 What Is Dedoose?  
1.5 Dedoose: A Historical Journey  
 
Chapter 2 Adopting Dedoose
2.1 Successful Adoption of Digital Tools  
2.2 Framing the Purpose and Focus  
2.3 Dedoose: Starting Your Project  
2.4 Case Study: Using the Five-Level QDA® Method With Dedoose  
 
Chapter 3 Bringing Data Into Dedoose
3.1 Gathering Mixed Data  
3.2 Numbers as Data  
3.3 Memos as Data  
3.4 Case Study: Incorporating Mixed Analysis Into Your Study  
3.5 Conclusion  
 
Appendix: Types of Interview Data
 
PART II DATA INTERACTION AND ANALYSIS
 
Chapter 4 Teamwork Analysis Techniques
4.1 Team Management  
4.2 Collaborative Interpretations  
4.3 Coding in Teams  
4.4 Bringing Procedures Into the Dedoose Environment  
4.5 Team Conduct Rules  
4.6 Case Study: Large-Scale, Multilanguage, Cross-Cultural Analysis With Dedoose  
4.7 Conclusion  
 
Chapter 5 Qualitative Analysis
5.1 Qualitative Analysis: Looking for Quality  
5.2 Working With Codes  
5.3 Case Study: Using Dedoose for a Multisite Study  
5.4 Conclusion  
 
Chapter 6 Designing Mixed Methods Analysis
6.1 Identifying Analysis Strategies  
6.2 Using Descriptors  
6.3 Topic Modeling  
6.4 Case Study: Integrating Mixed Data in a Longitudinal Study  
6.5 Conclusion  
 
Chapter 7 Managing Complex Mixed Methods Analysis
7.1 Recognizing and Managing Complexity in Analysis  
7.2 Data Complexity in Your Project  
7.3 Using Visualization Tools for Analysis  
7.4 Moving Through and Filtering Your Data  
7.5 Case Study: Complex Yet Manageable—the Organizational Genius of Dedoose  
7.6 Conclusion  
 
Chapter 8 Working With Numbers in Dedoose: Statistics, Tabling, and Charting for Numbers, Weights, and Option List Field Data
8.1. Background/Introduction  
8.2 Charts, Tables, and Plots for Individual Fields or Code Weights  
8.3 Charts, Tables, Plots, and Analyses for Pairs of Fields/Code Weights  
8.4 Summary  
 
PART III REPORTING CREDIBLE RESULTS AND SHARING FINDINGS
 
Chapter 9 Reporting Your Findings
9.1 Reaching Your Audience  
9.2 Mixed Methods Procedural Checklist  
9.3 Case Study: Reporting to Multiple Audiences  
 
Chapter 10 Sharing Data With a Larger Audience
10.1 Reaching a Larger Audience  
10.2 Case Study: Sharing Qualitative Social Science Data  
10.3 Changing Reporting Practices: Open Access  
10.4 Final Word  
 
Closing Remarks by Thomas S. Weisner
 
References
 
Index

“Extremely helpful information that will inspire and educate both those who are just learning and those who have been using Dedoose® for years.”

Julie Kugel
OTR/L Loma Linda University

“Great overview of Dedoose® tools and mixed methods functionality make this a great book for beginners.”

Shaunna Smith
Texas State University

Sample Materials & Chapters

1: Using Mixed Methods and Dedoose®

6: Designing Mixed Method Analysis


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Michelle Suzanne Salmona

Dr. Michelle Salmona is President of the Institute for Mixed Methods Research (IMMR) and an Adjunct Associate Professor at the University of Canberra. With a background as a project management professional and a senior fellow of the Higher Education Academy, UK, she is a specialist in research design, methods and analysis.  Michelle is a co-founder of IMMR, building global collaborations for grant development, and customized training and consultancy services for individuals and groups engaged in mixed-methods and qualitative analysis. Michelle works as an international consultant in program evaluation; research design; and mixed... More About Author

Eli Lieber

Dr. Eli Lieber has spent over 20 years at the University of California, Los Angeles (UCLA) focused on the advancement of thinking about and strategically implementing qualitative and mixed methods approaches in social science research.  Eli’s recent work has focused on the continued development of mixed methods strategies.  He is particularly interested in what we do with all the data we gather, how we integrate data, and how evolving technologies can make our research and evaluation more efficient and effective.  As for next steps, Eli is looking forward to continuing his work with his Institute for Mixed Methods Research ... More About Author

Daniel James Kaczynski

Professor Dan Kaczynski is a Senior Research Fellow at the Institute of Mixed Methods Research (IMMR).  He is currently appointed as a Professor supervising doctoral candidates at the University of Canberra, Australia and is Professor Emeritus at Central Michigan University.  Dan’s research interests in the United States and Australia advance technological innovations in qualitative and mixed methods data analysis in the social sciences.    Dan is actively engaged as a program evaluation consultant and has over 20 years’ consulting experience conducting state, national and international evaluations.  He has... More About Author