Conducting Mixed-Methods Research: From Classical Social Sciences to the Age of Big Data and Analytics
Dublin Core
Title
Conducting Mixed-Methods Research: From Classical Social Sciences to the Age of Big Data and Analytics
Subject
Methods Research:
Description
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.
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.
Creator
Viswanath Venkatesh, Susan (Sue) Brown, Yulia Sullivan
Source
https://vtechworks.lib.vt.edu/server/api/core/bitstreams/267d3af2-7658-4cc9-a9b7-86da5e91750f/content
Publisher
Virginia Tech Publishing
Date
2023
Contributor
Baihaqi
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Viswanath Venkatesh, Susan (Sue) Brown, Yulia Sullivan, “Conducting Mixed-Methods Research: From Classical Social Sciences to the Age of Big Data and Analytics,” Open Educational Resource (OER) - USK Library, accessed September 12, 2024, http://uilis.usk.ac.id/oer/items/show/7710.