Conducting Mixed-Methods Research: From Classical Social Sciences to the Age of Big Data and Analytics
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Viswanath Venkatesh, Virginia Tech
Susan (Sue) Brown, University of Arizona
Yulia Sullivan, Baylor University
Copyright Year: 2023
ISBN 13: 9781957213682
Publisher: Virginia Tech Libraries
Language: English
Formats Available
Conditions of Use
Attribution-NonCommercial
CC BY-NC
Table of Contents
- Preface
- Acknowledgements
- Chapter 1: Mixed-Methods Research as the Third Research Approach
- Chapter 2: Philosophical Foundations of Mixed-Methods Research
- Chapter 3: Nature of Theory in Mixed-Methods Research
- Chapter 4: Appropriateness of Using a Mixed-Methods Research Approach
- Chapter 5: Basic Strategies for Mixed-Methods Research
- Chapter 6: Mixed-Methods Data Collection Strategies
- Chapter 7: Qualitative and Quantitative Data Analysis Strategies
- Chapter 8: Mixed-Methods Data Analysis Strategies
- Chapter 9: Mixed-Methods Research and Big Data Analytics
- Chapter 10: Generating Meta-Inferences in Mixed-Methods Research
- Chapter 11: Mixed-Methods Research Paper Templates
- Chapter 12: Guidelines for Editors and Reviewers of Mixed-Methods Research
- Chapter 13: Challenges and Strategies in Conducting, Writing, and Publishing Mixed-Methods Research
- Author Biographies
Ancillary Material
Submit ancillary resourceAbout the Book
Scholars in the social sciences are increasingly expected to incorporate both quantitative and qualitative techniques and methods into their research. The growth of “mixed-methods” research is evident in social science disciplines ranging from psychology and management to marketing and information systems. This book is designed to provide principles, strategies, and guidance specifically for researchers in these disciplines so that they can use mixed-methods research more effectively.
In thirteen chapters, Conducting Mixed-Methods Research takes readers through the research process, from defining research questions to writing articles using a mixed-methods approach. For those who are well trained in either qualitative or quantitative methods, the book shows them how to think about the purposes of mixed-methods research, design mixed-methods studies, and develop meta-inferences by integrating findings from both methods. Throughout, the discussion is grounded in examples taken from published research, carefully chosen to highlight best practices, thus opening a window into a broad body of mixed-methods research applications.
About the Contributors
Authors
Viswanath Venkatesh, who completed his Ph.D. at the University of Minnesota in 1997, is an Eminent Scholar and Verizon Chair of Business Information Technology at the Pamplin College of Business, Virginia Tech. Since Fall 2021, he is also the Director of Pamplin’s Executive Ph.D. program. Prior to joining Virginia Tech in Spring 2021, he was a faculty member at the University of Maryland and University of Arkansas. In addition to presenting his work internationally, he has held visiting appointments at universities around the world. He is widely regarded as one of the most influential scientists, both in terms of premier journal publications and citation impact. He is a Fellow of the Association for Information Systems (AIS) and the Information Systems Society, INFORMS.
Susan (Sue) Brown is the Stevie Eller Professor and department head of Management Information Systems in the Eller College of the University of Arizona. She joined the Eller College as an associate professor in 2005. She completed her PhD at the University of Minnesota and an MBA at Syracuse University. Prior to receiving her MBA, she worked as a programmer/analyst and IS manager in a hospital. Her research interests include individual motivations for and consequences of IT use, mediated interactions, diffusion of misinformation, and research methods. She has received funding for her research from the National Science Foundation, and other public and private organizations. Her work has appeared in leading journals in information systems and management including MIS Quarterly, Information Systems Research, Organizational Behavior and Human Decision Processes, Communications of the ACM, Journal of Management Information Systems, and Journal of the Association for Information Systems.
Yulia Sullivan is an Associate Professor of Information Systems and Business Analytics (ISBA) at Hankamer School of Business, Baylor University. She earned her Ph.D. degree in information systems from the University of North Texas, USA. Her research interests encompass a diverse range of topics, including cognitive information systems, the value of IT for organizations, artificial intelligence & ethics, human-computer interaction, and research methods.