Cited by 1,449Statistical Methods and Bayesian InferenceStatistics Education and MethodologiesMeta-analysis and systematic reviews

Inference by Eye: Confidence Intervals and How to Read Pictures of Data.

Cumming, Geoff, Finch, Sue·2005·American Psychologist

Abstract

Wider use in psychology of confidence intervals (CIs), especially as error bars in figures, is a desirable development. However, psychologists seldom use CIs and may not understand them well. The authors discuss the interpretation of figures with error bars and analyze the relationship between CIs and statistical significance testing. They propose 7 rules of eye to guide the inferential use of figures with error bars. These include general principles: Seek bars that relate directly to effects of interest, be sensitive to experimental design, and interpret the intervals. They also include guidelines for inferential interpretation of the overlap of CIs on independent group means. Wider use of interval estimation in psychology has the potential to improve research communication substantially.

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Crossref · 10.1037/0003-066x.60.2.170

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Authors
Cumming, G., & Finch, S.
Affiliations
La Trobe University (AU)
Venue
American Psychologist
Published
2005
Volume
60
Issue
2
Pages
170-180
ISSN
  • 0003-066X (ISSN-L)
  • 1935-990X
OpenAlex
W2005534705
Cited by
1,449
References
59
Citations by year
2026: 62 · 2025: 66 · 2024: 74 · 2023: 92 · 2022: 102 · 2021: 110 · 2020: 92 · 2019: 86 · 2018: 80 · 2017: 82 · 2016: 76 · 2015: 89 · 2014: 63 · 2013: 59 · 2012: 48
FWCI
39.36
Type
journal article
Language
en
Open access
closed
Locations
  • American Psychologist (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistics Education and Methodologies
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords
confidence intervals, error bars, statistical significance testing, interval estimation, scholarly communication
MeSH terms
Humans, Confidence Intervals

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