The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
jsPsych: A JavaScript library for creating behavioral experiments in a Web browser
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
Effects of noise letters upon the identification of a target letter in a nonsearch task
Eriksen, B. A., & Eriksen, C. W. (1974) · Perception & Psychophysics · doi:10.3758/bf03203267 · Cited by 7,230
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
Conducting behavioral research on Amazon’s Mechanical Turk
Mason, W., & Suri, S. (2012) · Behavior Research Methods · doi:10.3758/s13428-011-0124-6 · Cited by 3,172
Data collection in a flat world: the strengths and weaknesses of Mechanical Turk samples
Goodman, J. K., Cryder, C. E., & Cheema, A. (2013) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1753 · Cited by 2,242
Evaluating amazon’s mechanical turk as a tool for experimental behavioral research
Crump, M. J. C., McDonnell, J. V., & Gureckis, T. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057410 · Cited by 1,617
Research works printed but not linked: 8
- Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s Mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6, 3–5. doi: 10.1177/1745691610393980 · DOI · Paper page
- Fox, E. (1995). Negative priming from ignored distractors in visual selection: A review. Psychonomic Bulletin & Review, 2, 129–139. doi: 10.3758/BF03210958 · DOI · Paper page
- Goldstone, R., Rogosky, B., Pevtzow, R., & Blair, M. (2005). Perceptual and semantic reorganization during category learning. In H. Cohen & C. Lefebvre (Eds.), Handbook of categorization in cognitive science (pp. 651–678). Amsterdam: Elsevier. · DOI
- Kopp, B., Mattler, U., & Rist, F. (1994). Selective attention and response competition in schizophrenic patients. Psychiatry Research, 53, 129–139. · DOI
- Palmer, S. E. (1977). Hierarchical structure in perceptual representation. Cognitive Psychology, 9, 441–474. doi: 10.1016/0010-0285(77)90016-0 · DOI · Paper page
- Reips, U.-D., & Neuhaus, C. (2002). WEXTOR: A Web-based tool for generating and visualizing experimental designs and procedures. Behavior Research Methods, Instruments, & Computers, 34, 234–240. doi: 10.3758/BF03195449 · DOI
- Ross, J., Irani, L., Silberman, M. S., Zaldivar, A., & Tomlinson, B. (2010). Who are the turkers? Worker demographics in Amazon Mechanical Turk. In CHI ’10: CHI Conference on Human Factors in Computing Systems (pp. 2863–2872). New York: ACM.
- Zwaan, R. A., & Pecher, D. (2012). Revisiting mental simulation in language comprehension: six replication attempts. PloS ONE, 7, e51382. doi: 10.1371/journal.pone.0051382 · DOI · Paper page
Cited by
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
Emergent analogical reasoning in large language models
Webb, T., Holyoak, K. J., & Lu, H. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01659-w · Cited by 404
Realistic precision and accuracy of online experiment platforms, web browsers, and devices
Anwyl-Irvine, A., Dalmaijer, E. S., Hodges, N., & Evershed, J. K. (2021) · Behavior Research Methods · doi:10.3758/s13428-020-01501-5 · Cited by 341
Conducting perception research over the internet: A tutorial review
Woods, A. T., Velasco, C., Levitan, C. A., Wan, X., & Spence, C. (2015) · PeerJ · doi:10.7717/peerj.1058 · Cited by 301
Slavich, G. M., & Shields, G. S. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000534 · Cited by 268
“Executive Function Participants' executive function ability was assessed using a version of the Stroop task scripted in jsPsych (41), which has been extensively validated”
Method
Metadata
- Authors
- de Leeuw, J. R.
- Venue
- Behavior Research Methods
- Published
- 2014-03-28
- Volume
- 47
- Issue
- 1
- Pages
- 1-12
- ISSN
- 1554-351X (ISSN-L)
- 1554-3528
- OpenAlex
- W2161418887
- Cited by
- 1,778
- References
- 5
- FWCI
- 41.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
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: jsPsych: A JavaScript library for creating behavioral experiments in a Web browser. https://app.cochat.ai/papers/10.3758/s13428-014-0458-y
- The paper
- de Leeuw, J. R. (2015). jsPsych: A JavaScript library for creating behavioral experiments in a Web browser. Behavior Research Methods. https://doi.org/10.3758/s13428-014-0458-y
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.