Qualitative and Mixed Methods Data Analysis Using Dedoose®
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Society and Social Sciences > Sociology and anthropology > Sociology > Social research and statistics > Qualitative and Mixed Methods Data Analysis Using Dedoose®
Qualitative and Mixed Methods Data Analysis Using Dedoose®

Qualitative and Mixed Methods Data Analysis Using Dedoose®


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

Qualitative and Mixed Methods Data Analysis Using Dedoose® provides both new and experienced researchers with a guided introduction to the methodological complexity of mixed methods and qualitative inquiry using Dedoose® software. Drawing on their experience designing and refining Dedoose® and conducting published research, the authors offer practical strategies for using the platform across a wide range of social science and health studies. Case study contributions from outside researchers illustrate how Dedoose® supports applied research in diverse settings.

The Second Edition has been updated to include expanded case studies, updated pedagogy, and new content on team-based analysis, data visualization, and reporting reflect the latest capabilities of Dedoose®.

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

About the Author :
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 credentialed project management professional (PMP) and senior fellow of the Higher Education Academy, United Kingdom. Michelle is a specialist in qualitative and mixed methods research design and analysis, and works as an international consultant in: program evaluation; research design; and mixed-methods and qualitative data analysis using digital tools. Her research focus is to better understand how to support doctoral success and strengthen the research process; and build data-driven decision-making capacity through technological innovation. Recent research includes exploring the changing practices of qualitative research during the dissertation phase of doctoral studies, and investigating 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 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 experience as principal investigator of more than $35 million in grant awards. His work has been shared professionally with more than 250 professional presentations nationally and internationally. He has written more than 50 published research articles and eight books and book chapters. In addition, he has supervised over 100 doctoral dissertations and professional specialist theses. 

Review :
This book is a wonderful mixture of technical and theoretical knowledge for even the newest Dedoose users! I would trust it with my students and believe it would have a very positive impact on their learning of qualitative methods.


Best Sellers


Product Details
  • ISBN-13: 9781071949962
  • Publisher: Sage Publications Inc Ebooks
  • Publisher Imprint: SAGE Publications Inc
  • ISBN-10: 1071949969
  • Publisher Date: 24 Feb 2026


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Qualitative and Mixed Methods Data Analysis Using Dedoose®
Sage Publications Inc Ebooks -
Qualitative and Mixed Methods Data Analysis Using Dedoose®
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Qualitative and Mixed Methods Data Analysis Using Dedoose®

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!