The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
The earth is round (p < .05).
Abstract
After 4 decades of severe criticism, the ritual of null hypothesis significance testing (mechanical dichotomous decisions around a sacred .05 criterion) still persists. This article reviews the problems with this practice, including near universal misinterpretation of p as the probability that H₀ is false, the misinterpretation that its complement is the probability of successful replication, and the mistaken assumption that if one rejects H₀ one thereby affirms the theory that led to the test. Exploratory data analysis and the use of graphic methods, a steady improvement in and a movement toward standardization in measurement, an emphasis on estimating effect sizes using confidence intervals, and the informed use of available statistical methods are suggested. For generalization, psychologists must finally rely, as has been done in all the older sciences, on replication. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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“As in any statistical application, accepting the null hypothesis (in this case, a null hypothesis of no interaction) should be understood as being distinct from a failure to reject it (Cohen, 1994).”
From Enrichment Effects on Adult Cognitive Development: Can the Functional Capacity of Older Adults Be Preserved and Enhanced? (2008) · cites this paper as Cohen, 1994
In the citing paper
“Therefore, NHST only tells us about the probability of obtaining data which are equally or more discrepant than those obtained in the event that H0 is true (Cohen, 1994; Nickerson, 2000; Balluerka et al., 2009; Kline, 2013).”
From Misconceptions of the p-value among Chilean and Italian Academic Psychologists (2016) · cites this paper as Cohen, 1994
In the citing paper
“The most common misconceptions about p-value are “inverse probability fallacy,” “replication fallacy,” “effect size fallacy,” and “clinical or practical significance fallacy” (Carver, 1978; Cohen, 1994; Kirk, 1996; Nickerson, 2000; Kline, 2013).”
From Misconceptions of the p-value among Chilean and Italian Academic Psychologists (2016) · cites this paper as Cohen, 1994
In the citing paper
“This is might be because of two reasons: the programmer could have found a problem while coding, who at first will try to solve it by reading the code, switching out from the IDE, navigating the call stack and debugging, before going to ask another teammate, according to LaToza et al. [35]; this set of actions end up with an interruption and reduce the observed activity within the IDE.”
From Work fragmentation in developer interaction data (2017) · cites this paper as [35]
In the citing paper
“These categories of events agree with our previous hypothesis that positive interruptions are related to information seeking [9,35], while negative interruptions are related to actual task switches where context needs to be rebuilt afterwards.”
From Work fragmentation in developer interaction data (2017) · cites this paper as [35]
In the citing paper
“Our results and theoretical foundations are based on observational studies performed on information workers' development environments [5,6,35,10].”
From Work fragmentation in developer interaction data (2017) · cites this paper as [35]
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Metadata
- Authors
- Cohen, J.
- Affiliations
- New York University (US)
- Corresponding author
- Cohen, Jacob
- Venue
- American Psychologist
- Published
- 1994-12
- Volume
- 49
- Issue
- 12
- Pages
- 997-1003
- ISSN
- 0003-066X (ISSN-L)
- 1935-990X
- OpenAlex
- W2030360178
- Cited by
- 4,003
- References
- 43
- Citations by year
- 2026: 94 · 2025: 122 · 2024: 87 · 2023: 116 · 2022: 128 · 2021: 161 · 2020: 255 · 2019: 178 · 2018: 184 · 2017: 177 · 2016: 187 · 2015: 182 · 2014: 183 · 2013: 167 · 2012: 172
- FWCI
- 87.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Psychologist (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- null hypothesis significance testing, misinterpretation of p-values, replication, effect size estimation, confidence intervals, exploratory data analysis, measurement standardization, psychology research practice
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 ›
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