The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
How Low Should You Go? Low Response Rates and the Validity of Inference in IS Questionnaire Research
Open accessAbstract
We believe IS researchers can and should do a better of job of improving (assuring) the validity of their findings by minimizing nonresponse error. To demonstrate that there is, in fact, a problem, we first present the response rates reported in six well-regarded IS journals and summarize how nonresponse error was estimated and handled in published IS research. To illustrate how nonresponse error may bias findings in IS research, we calculate its impact on confidence intervals. After demonstrating the impact of nonresponse on research findings, we discuss three post hoc remedies and three preventative measures for the IS researcher to consider. The paper concludes with a general discussion about nonresponse and its implications for IS research practice. In our delimitations section, we suggest directions for further exploring external validity.
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Cites
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
The norm of reciprocity: A preliminary statement
Gouldner, A. W. (1960) · American Sociological Review · doi:10.2307/2092623 · Cited by 12,001
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767
To parcel or not to parcel: Exploring the question, weighing the merits
Little, T. D., Cunningham, W. A., Shahar, G., & Widaman, K. F. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0902_1 · Cited by 6,552
How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power
Muthén, L. K., & Muthén, B. O. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0904_8 · Cited by 2,362
The Design and Administration of Mail Surveys
Dillman, D. A. (1991) · Annual Review of Sociology · doi:10.1146/annurev.so.17.080191.001301 · Cited by 1,311
Mimetic Isomorphism and Technology Evaluation: Does Imitation Transcend Judgment?
University of Western Ontario, Tingling, P., Parent, M., & Simon Fraser University (2002) · Journal of the Association for Information Systems · doi:10.17705/1jais.00025 · Cited by 149
Cited by
Lee, G., & Xia, W. (2010) · MIS Quarterly · doi:10.2307/20721416 · Cited by 614
Dincelli, E., & Yayla, A. (2022) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2022.101717 · Cited by 490
Moqbel, M., & Kock, N. (2018) · Information & Management · doi:10.1016/j.im.2017.05.001 · Cited by 269
Lean manufacturing and internet of things—A synergetic or antagonist relationship?
Anosike, A., Alafropatis, K., Garza-Reyes, J. A., Kumar, A., Luthra, S., & Rocha-Lona, L. (2021) · Computers in Industry · doi:10.1016/j.compind.2021.103464 · Cited by 94
U.S. Dental Students’ Attitudes Toward Research and Science: Impact of Research Experience
Holman, S. D., Wietecha, M. S., Gullard, A., & Peterson, J. M. B. (2014) · Journal of Dental Education · doi:10.1002/j.0022-0337.2014.78.3.tb05684.x · Cited by 38
Metadata
- Authors
- University of Central Florida, Sivo, S., Saunders, C., University of Central Florida, Chang, Q., University of Central Florida, Jiang, J., & University of Central Florida
- Venue
- Journal of the Association for Information Systems
- Publisher
- Association for Information Systems
- Published
- 2006-06
- Volume
- 7
- Issue
- 6
- Pages
- 351-414
- ISSN
- 1536-9323 (ISSN-L)
- OpenAlex
- W1533390111
- Cited by
- 376
- References
- 8
- FWCI
- 25.36
- Type
- journal article
- Language
- en
- Open access
- green
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- University of Central Florida, Sivo, S., Saunders, C., University of Central Florida, Chang, Q., University of Central Florida, Jiang, J., & University of Central Florida. (2006). How Low Should You Go? Low Response Rates and the Validity of Inference in IS Questionnaire Research. Journal of the Association for Information Systems. https://doi.org/10.17705/1jais.00093
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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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