Table Of Contents:

• Foreword by Eli Lieber
• Preface
• Acknowledgements
• Glossary: Dedoose Common Terms
• About the Authors
• Part I: Foundations of Research
• Chapter 1: Introduction
• 1.1 Overview of the Book
• 1.2 What is Dedoose?
• 1.3 Course Adoption
• 1.4 Dedoose for Literature Review: A Guide for Researchers
• 1.5 Appendix: Keyboard Shortcuts
• Chapter 2: Qualitative Data Analysis
• 2.1 Framing the study
• 2.2 Aligning Theory to the Analytic Approach
• 2.3 Getting Started with the Analysis of Raw Data
• 2.4 Building Connections and Finding Relationships
• 2.5 Analytic Rabbit holes
• Chapter 3: Mixed Methods Data Analysis
• 3.1 Mixed Methods and Mixed Paradigms
• 3.2 Identifying Mixed Methods Analysis Strategies
• 3.3 Preparing for Mixed Methods Analysis
• Chapter 4: Data Management
• 4.1 Gathering data
• 4.2 Numbers as data
• 4.3 Memos as data
• 4.4 Preparing data for import
• 4.5 Conclusion
• Appendix: Types of interview data
• Part II: Data Interaction and Analysis
• Chapter 5: Doing Qualitative Analysis in Dedoose
• 5.1 Working with media and excerpts in Dedoose
• 5.2 Working with codes in Dedoose
• 5.3 Memos in Dedoose
• 5.4 Qualitative coding tips
• 5.5 Conclusion
• Chapter 6: Doing Mixed Methods Analysis in Dedoose
• 6.1 Working with Numeric and Categorical Data
• 6.2 Recognizing and Managing Complexity in Analysis
• 6.3 Data Complexity in Your Project
• 6.4 Mixed methods code tips | Integrating mixed methods data during analysis
• 6.5 Mixing Qualitative and Quantitative Data by Hannah Calvert
• 6.6 Conclusion
• Chapter 7: Analysis Through Visualization
• 7.1 Using Visualization Tools for Analysis
• 7.2 Code Charts
• 7.3 Code and Descriptor Charts
• 7.4 Descriptor Charts
• 7.5 Moving Through and Filtering Your Data
• 7.6 Conclusion
• Chapter 8: Advanced Tools and Automation in Dedoose
• 8.1 Advanced Codebook Management
• 8.2 Text Analytics
• 8.3 Automation Tools in Dedoose
• 8.4 Using Artificial Intelligence
• 8.5 Summary
• Chapter 9: Teamwork Analysis Techniques
• 9.1 Team development
• 9.2 Collaborative Interpretations
• 9.3 Team Guidelines
• Chapter 10: Collaborating Successfully in Dedoose
• 10.1 When to Work with Others
• 10.2 Approaches to Team Coding in Dedoose
• 10.3 Developing a Team Coding Process | Tips and Guidelines
• 10.4 Conclusion
• 10.5 Appendix | Access Group Categories in Dedoose
• Conclusion to Part Two: Data Interaction and Analysis
• Part III: Reporting Credible Results and Sharing Findings
• Chapter 11: Sharing Data with a Larger Audience
• 11.1 Reaching a Larger Audience
• 11.2 Sharing Qualitative Social Science Data by QDR
• 11.3 Data Anonymization by Hannah Calvert
• 11.4 Changing Reporting Practices: Open Access
• 11.5 Conclusion
• Chapter 12: Reporting Your Findings
• 12.1 Reaching Your Audience
• 12.2 Qualitative Methods Procedural Checklist
• 12.3 Mixed Methods Procedural Checklist
• 12.4 Reporting to Multiple Audiences
• 12.5 Effective Research Communication Across Diverse Audiences
• Chapter 13: Qualitative Analysis and AI: What does the future hold?
• 13.1 Introduction
• 13.2 Qualitative Practices Shifting from Past to Present
• 13.3 AI Adoption in Qualitative Analysis
• 13.4 An Epistemological Conundrum
• 13.5 Overcoming Limitations of AI
• 13.6 Building a Framework for the Future
• Chapter 14: Ending the Book
• 14.1 Navigating the Evolving Landscape of Research
• 14.2 Revisiting Our Path
• 14.3 Key Takeaways
• 14.4 The Road Ahead
• 14.5 Final Word
• Afterword
• References
• Index