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Conducting Mixed-Methods Research From Classical Social Sciences to the Age of Big Data and Analytics Viswanath Venkatesh

Contributor(s): Material type: TextTextSeries: Open textbook libraryDistributor: Minneapolis, MN Open Textbook LibraryPublisher: [Place of publication not identified] Virginia Tech Libraries 2023Copyright date: ©2023Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781957213682
Subject(s): LOC classification:
  • L7
Online resources:
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
Subject: 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.
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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

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.

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In English.

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