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 accessAbstract
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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Cites
Qualitative Data Analysis: An Expanded Sourcebook
(1994) · Journal of Environmental Psychology · doi:10.1016/s0272-4944(05)80231-2 · Cited by 48,420
Designing and Conducting Mixed Methods Research
Robinson, P. (2007) · Australian and New Zealand Journal of Public Health · doi:10.1111/j.1753-6405.2007.00096.x · Cited by 23,258
Pls-Sem: indeed a silver bullet
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679190202 · Cited by 21,631
(1998) · Cited by 18,576
(1998) · Medical Entomology and Zoology · Cited by 18,397
(1994) · Cited by 13,126
(1996) · Cited by 11,584
Mixed Methods Research: A Research Paradigm Whose Time Has Come
Johnson, R. B., & Onwuegbuzie, A. J. (2004) · Educational Researcher · doi:10.3102/0013189x033007014 · Cited by 11,170 · cited 7×
“Therefore, researchers can use the strengths of one method to overcome the weaknesses of another method by using both in a research study (Johnson & Onwuegbuzie, 2004).”
BackgroundMethodInfluentialWeber, R. (1990) · doi:10.4135/9781412983488 · Cited by 7,750
Mixing Qualitative and Quantitative Methods: Triangulation in Action.
Jick, T. D. (1979) · Administrative Science Quarterly · doi:10.2307/2392366 · Cited by 7,103 · cited 4×
“Triangulation techniques: 1) allow researchers to be more confident in their results, 2) can stimulate the creation of inventive methods and new ways of understanding a problem from multiple perspectives, 3) may help uncover various dimensions of a phenomenon, and (4) can lead to a synthesis or integration of theories…”
BackgroundMethodInfluential
Cited by
Benitez, J., Arenas, A., Castillo, A., & Esteves, J. (2022) · Information & Management · doi:10.1016/j.im.2022.103590 · Cited by 537
Cheng, X., Zhang, X., Cohen, J., & Mou, J. (2022) · Information Processing & Management · doi:10.1016/j.ipm.2022.102940 · Cited by 536
AI literacy and its implications for prompt engineering strategies
Knoth, N., Tolzin, A., Janson, A., & Leimeister, J. M. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100225 · Cited by 368
Hou, F., Guan, Z., Li, B., & Chong, A. Y. L. (2019) · Internet Research · doi:10.1108/intr-04-2018-0177 · Cited by 366
Chandra, S., Shirish, A., & Srivastava, S. C. (2022) · Journal of Management Information Systems · doi:10.1080/07421222.2022.2127441 · Cited by 315
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
- Publisher
- 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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- 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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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