多元方法论
计算机科学
管理科学
扩展(谓词逻辑)
研究设计
数据科学
知识管理
心理学
社会学
工程类
数学教育
社会科学
程序设计语言
作者
Viswanath Venkatesh,Susan A. Brown,Yulia Sullivan
摘要
In this paper, we extend the guidelines of Venkatesh et al. (2013) for mixed-methods research by identifying and integrating variations in mixed-methods research. By considering 14 properties of mixed-methods research (e.g., purposes, research questions, epistemological assumptions), our guidelines demonstrate how researchers can flexibly identify the existing variations in mixed-methods research and proceed accordingly with a study design that suits their needs. To make the guidelines actionable for various situations and issues that researchers could encounter, we develop a decision tree to map the flow and relationship among the design strategies. We also illustrate one possible type of mixed-methods research in information systems in depth and discuss how to develop and validate meta-inferences as the outcomes of such a study.
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