Qualitative and Mixed Methods Data Analysis Using Dedoose (R)

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