The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
The relationship between motivation, monetary compensation, and data quality among US- and India-based workers on Mechanical Turk
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?
Buhrmester, M., Kwang, T., & Gosling, S. D. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691610393980 · Cited by 9,996
The Quarterly Journal of Economics
Kuznets, S. (2024) · Business Cycle Theory, Part I Volume 4 · doi:10.4324/9781003549741-8 · Cited by 7,176
Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk
Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012) · Political Analysis · doi:10.1093/pan/mpr057 · Cited by 4,008
Running experiments on Amazon Mechanical Turk
Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010) · Judgment and Decision Making · doi:10.1017/s1930297500002205 · Cited by 3,767
Instructional manipulation checks: Detecting satisficing to increase statistical power
Oppenheimer, D. M., Meyvis, T., & Davidenko, N. (2009) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2009.03.009 · Cited by 3,493
Schmitt, D. P., Allik, J., McCrae, R. R., & Benet-Martínez, V. (2007) · Journal of Cross-Cultural Psychology · doi:10.1177/0022022106297299 · Cited by 1,222
Using Mechanical Turk to Study Clinical Populations
Shapiro, D. N., Chandler, J., & Mueller, P. A. (2013) · Clinical Psychological Science · doi:10.1177/2167702612469015 · Cited by 1,139
Who are the crowdworkers?: shifting demographics in mechanical turk
Ross, J., Irani, L., Silberman, M. S., Zaldivar, A., & Tomlinson, B. (2010) · CHI '10 Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/1753846.1753873 · Cited by 1,004
Are financial incentives related to performance? A meta-analytic review of empirical research.
Jenkins, G. D., Mitra, A., Gupta, N., & Shaw, J. D. (1998) · Journal of Applied Psychology · doi:10.1037/0021-9010.83.5.777 · Cited by 789
The role of impulsivity in the Dark Triad of personality
Jones, D. N., & Paulhus, D. L. (2011) · Personality and Individual Differences · doi:10.1016/j.paid.2011.04.011 · Cited by 604
Cited by
Douglas, B. D., Ewell, P. J., & Brauer, M. (2023) · PLOS ONE · doi:10.1371/journal.pone.0279720 · Cited by 1,532
Conducting Clinical Research Using Crowdsourced Convenience Samples
Chandler, J., & Shapiro, D. (2016) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-021815-093623 · Cited by 1,072
An MTurk Crisis? Shifts in Data Quality and the Impact on Study Results
Chmielewski, M., & Kucker, S. C. (2020) · Social Psychological and Personality Science · doi:10.1177/1948550619875149 · Cited by 1,027
MTurk Research: Review and Recommendations
Aguinis, H., Villamor, I., & Ramani, R. S. (2021) · Journal of Management · doi:10.1177/0149206320969787 · Cited by 984
An Evaluation of Amazon’s Mechanical Turk, Its Rapid Rise, and Its Effective Use
Buhrmester, M. D., Talaifar, S., & Gosling, S. D. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617706516 · Cited by 767
Metadata
- Authors
- Litman, L., Robinson, J., & Rosenzweig, C.
- Venue
- Behavior Research Methods
- Published
- 2014-06-07
- Volume
- 47
- Issue
- 2
- Pages
- 519-528
- ISSN
- 1554-351X (ISSN-L)
- 1554-3528
- OpenAlex
- W2022550861
- Cited by
- 275
- References
- 28
- FWCI
- 24.93
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The relationship between motivation, monetary compensation, and data quality among US- and India-based workers on Mechanical Turk. https://app.cochat.ai/papers/10.3758/s13428-014-0483-x
- The paper
- Litman, L., Robinson, J., & Rosenzweig, C. (2015). The relationship between motivation, monetary compensation, and data quality among US- and India-based workers on Mechanical Turk. Behavior Research Methods. https://doi.org/10.3758/s13428-014-0483-x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
