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Qualitative and Mixed Methods Data Analysis Using Dedoose

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
Glossary: Dedoose Common Terms
About the Authors
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
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

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

“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

Very detailed and descriptive of Dedoose's use in Qualitative Research. The book provides a good explanation of how to use Dedoose win analyzing the collected data, especially the section on Case Study analysis using Dedoose..

Dr Michael W. Langston
Chaplaincy Ministries, Columbia International Univ
November 4, 2019

Michelle Suzanne Salmona

Dr. Michelle Salmona serves 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... More About Author

Eli Lieber

Dr. Eli Lieber is an interdisciplinary social scientist, methodologist, and data analyst.  He has spent over 20 years at the University of California, Los Angeles focused on advancing our thinking about and strategically implementing qualitative and mixed methods approaches in social science research.  Initially trained as a quantitative psychologist, he soon began working with colleagues from other social science disciplines and came to appreciate the deep importance and role in qualitative perspectives.  From a practical view, he believes that the informed integration of methods, study design, and the data generated... More About Author

Dan Kaczynski

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... More About Author

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ISBN: 9781506397818