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Qualitative and Mixed Methods Data Analysis using Dedoose: A Practical Approach for Research across the Social Sciences

by Michelle Salmona, Dan Kaczynski and Eli Lieber SAGE Publications, Inc
Pub Date:
Pbk 280 pages
AU$84.00 NZ$86.96
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Qualitative and Mixed Methods Data Analysis Using Dedoose®: A Practical Approach for Research Across the Social Sciences by Michelle Salmona, Eli Lieber, Dan Kaczynski 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.

Part I: Foundations of Mixed Methods Research
Chapter 1: Using Mixed Methods and Dedoose
About this Book
Mixed Methods and Mixed Paradigms
Using Cloud Technology to Support Mixed Methods Research
What is Dedoose?
Dedoose: An Historical Journey
Chapter 2: Adopting Dedoose
Successful Adoption of Digital Tools
Framing the Purpose and Focus
Dedoose: Starting your Project
Moving from Analytic Strategies to Software Tactics: Using the Five-Level QDA Method with Dedoose
Chapter 3: Bringing Data into Dedoose
Gathering Mixed Data
Numbers as Data
Memos as Data
Incorporating Mixed Analysis into your Study
Part II: Data Interaction and Analysis
Chapter 4: Teamwork Analysis Techniques
Team Management
Collaborative Interpretation
Coding in Teams
Bringing Procedures into the Dedoose Environment
Team Conduct Rules
Large-Scale Multi-Language Cross-Cultural Analysis with Dedoose
Chapter 5: Qualitative Analysis
Qualitative Analysis: Looking for Quality
Working with Codes
Using Dedoose for a Multi-Site Study
Chapter 6: Designing Mixed Method Analysis
Identifying Analysis Strategies
Using Descriptors
Topic Modeling
Integrating Mixed data in a Longitudinal Study: a Practical Example Using Dedoose
Chapter 7: Managing Complex Mixed Method Analysis
Recognizing and Managing Complexity in Analysis
Data Complexity in your Project
Using Visualization Tools for Analysis
Filtering your Data
Complex yet Manageable: The Organizational Genius of Dedoose
Chapter 8: Working with Numbers in Dedoose
Charts, Tables, and Plots for Individual Fields or Code Weight
Charts, Tables, Plots and Analyses for Pairs of Fields/Code Weights
PART III: Reporting Credible Results and Sharing Findings
Chapter 9: Reporting Findings
Reaching your Audience
Mixed Methods Procedure Checklist
Reporting to Multiple Audiences Using Dedoose
What Next?
Chapter 10: Sharing Data with a Larger Audience
Reaching a Larger Audience
Sharing Qualitative Social Science Data (QDR)
Changing Reporting Practices: Open Access
Final Word

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

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-methods and qualitative data analysis using data applications.  Her research focus is to better understand how to support doctoral success and strengthen the research process; and build data-driven decision making capacity in the corporate world.  Michelle's particular interests relate to the relationship between digital tools and doctoral success.  Recent research includes exploring the changing practices of qualitative research during the dissertation phase of doctoral studies, and investigates 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 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 held leadership roles in program administration and as a research center director with extensive experience as Principal Investigator of over $35 million in grant awards.  His work has been shared professionally with over 230 professional presentations nationally and internationally.  Dan has written over 40 published research articles and co-authored six books and book chapters.  In addition, Dan has supervised over 95 doctoral dissertations and professional specialist thesis.   

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 (IMMR) colleagues; a truly diverse group of individuals from around the world.  Dr. Lieber believes the IMMR mission will be an ongoing service to building methodological capacity, relationship building, engagement and communication regarding evolving mixed methods work, and bringing the deep experience of IMMR associates into the service of those employing these practices.  Dr. Lieber is optimistic about how strong mixed methods research can benefit the social sciences through engaging with colleagues directly, with groups at larger institutions and professional organizations, and through the forging of strategic partnerships.