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From Classical Social Sciences to the Age of Big Data and Analytics
A comprehensive and practical guide for social scientists seeking to use both quantitative and qualitative methods in their research.
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 in a broad body of mixed-methods research applications.
1st edition: 2023—VT Publishing
PRESENTATIONS RELATED TO THIS BOOK
Conducting Mixed-Methods Research: From Classical Social Sciences to the Age of Big Data and Analytics
Hong Kong Baptist University, Hong Kong (Jul 2025)
Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland (Feb 2025)
Consortium for the Advancement of Research Methods and Analysis, Texas Tech University, Lubbock, TX (Oct 2024) (Available online: https://carmattu.com/ttu-rawls-venkatesh)
Rawls College of Business, Texas Tech University, Lubbock, TX (Oct 2024)
International Conference and Forum on Business and Digital Economy, Amman, Jordan (May 2024)
Indian Institute of Technology, Delhi, India (May 2024)
International Federation for Information Processing Working Group 8.6, Indian Institute of Management, Nagpur (Dec 2023)
IESEG School of Management, Lille, France (Apr 2024)
NOVA Information Management School, Universidade Nova de Lisboa, Lisbon, Portugal [remote] (Jul 2022)
University of Jyväskylä, Jyväskylä, Finland [remote] (May 2022)
Association of Information Systems India & Indian Institute of Management, Trichy, India (Dec 2021)
Virginia Tech, Fall 2021
Hong Kong Baptist University, Hong Kong [remote] (Jun-Aug 2021)
University of Nottingham, Ningbo, China [remote] (Jun 2021)
NOVA Information Management School, Universidade Nova de Lisboa, Lisbon, Portugal [remote] (Jul 2020)
University of Augsburg, Augsburg, Germany (Oct 2019)
Monash University, Kuala Lumpur, Malaysia (Jul 2019)
Monash University, Kuala Lumpur, Malaysia (Oct 2016)
University of Oulu, Oulu, Finland (Mar 2015)
Chinese University of Geosciences, Wuhan, China (May 2014)
See also various mixed-methods research workshops offered & course taught at VT
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