The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Specification Curve: Descriptive and Inferential Statistics on All Reasonable Specifications
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Citations
Cites
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011) · Psychological Science · doi:10.1177/0956797611417632 · Cited by 6,567
Self-citationWhy Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702 · cited 1×
“…problem is that people in general, and researchers in particular, are more likely to report evidence consistent with the claims they are trying to make than to report evidence that is inconsistent with such claims (Glaeser, 2006; Ioannidis, 2005; Leamer, 1983; Simmons, Nelson, & Simonsohn, 2011).”
The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant
Gelman, A., & Stern, H. (2006) · The American Statistician · doi:10.1198/000313006x152649 · Cited by 1,407
The Death Toll from Natural Disasters: The Role of Income, Geography, and Institutions
Kahn, M. E. (2005) · Review of Economics and Statistics · doi:10.1162/0034653053970339 · Cited by 1,393 · cited 1×
“9 than interactions with disaster intensity (Czajkowski et al., 2011; Kahn, 2005; Toya & Skidmore, 2007).”
BackgroundI Just Ran Four Million Regressions
Sala-i-Martin, X. (1997) · doi:10.3386/w6252 · Cited by 960
Cited by
The association between adolescent well-being and digital technology use
Orben, A., & Przybylski, A. K. (2019) · Nature Human Behaviour · doi:10.1038/s41562-018-0506-1 · Cited by 1,500
Variability in the analysis of a single neuroimaging dataset by many teams
(2020) · doi:10.1038/s41586-020-2314-9 · Cited by 1,097
Teenagers, screens and social media: a narrative review of reviews and key studies
Orben, A. (2020) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-019-01825-4 · Cited by 706
Correcting for Bias in Psychology: A Comparison of Meta-Analytic Methods
Carter, E. C., Schönbrodt, F. D., Gervais, W. M., & Hilgard, J. (2019) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245919847196 · Cited by 588
Social media’s enduring effect on adolescent life satisfaction
Orben, A., Dienlin, T., & Przybylski, A. K. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902058116 · Cited by 485
Metadata
- Authors
- Simonsohn, U., Simmons, J. P., & Nelson, L. D.
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2015
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W2174191405
- Cited by
- 248
- References
- 6
- Type
- posted content
- Language
- en
- Open access
- green
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Specification Curve: Descriptive and Inferential Statistics on All Reasonable Specifications. https://app.cochat.ai/papers/10.2139/ssrn.2694998
- The paper
- Simonsohn, U., Simmons, J. P., & Nelson, L. D. (2015). Specification Curve: Descriptive and Inferential Statistics on All Reasonable Specifications. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2694998
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.
