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The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Guidelines for Conducting Mixed-methods Research: An Extension and Illustration

Open access
University of Arkansas, Venkatesh, Viswanath, Brown, Sue, University of Arizona, Sullivan, Yulia, State University of New York, Binghamton·2016·Journal of the Association for Information Systems

Abstract

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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Metadata

Authors
University of Arkansas, Venkatesh, V., Brown, S., University of Arizona, Sullivan, Y., & State University of New York, B.
Venue
Journal of the Association for Information Systems
Published
2016-08
Volume
17
Issue
7
Pages
435-494
ISSN
1536-9323 (ISSN-L)
OpenAlex
W2519107635
Cited by
624
References
61
FWCI
24.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Guidelines for Conducting Mixed-methods Research: An Extension and Illustration. https://app.cochat.ai/papers/10.17705/1jais.00433
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University of Arkansas, Venkatesh, V., Brown, S., University of Arizona, Sullivan, Y., & State University of New York, B. (2016). Guidelines for Conducting Mixed-methods Research: An Extension and Illustration. Journal of the Association for Information Systems. https://doi.org/10.17705/1jais.00433

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