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Inference by Eye: Confidence Intervals and How to Read Pictures of Data.
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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“For excellent examples, see ESCI (Cumming and Finch, 2005), confidence interval software by Smithson (2001), and G ∗ Power (Faul et al., 2009).”
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“The confidence intervals are computed with a bootstrap algorithm, allowing them to generalize over many different statistics, and the default level allows the user to perform “inference by eye” (Cumming & Finch, 2005).”
MethodThe New Statistics: Why and How
Cumming, G. (2014) · Psychological Science · doi:10.1177/0956797613504966 · Cited by 3,200
“The best way to think of SE bars on a mean is usually to double the whole length—so the bars extend 2 SE above and 2 SE below the mean—and interpret them as being, approximately, the 95% CI, as Figure 2 illustrates (Cumming & Finch, 2005).”
Self-citationEllis, P. D. (2010) · doi:10.1017/cbo9780511761676 · Cited by 2,461
Hulsheger, U. R., Anderson, N. R., & Salgado, J. F. (2009) · Journal of Applied Psychology · doi:10.1037/a0015978 · Cited by 1,631
“Thus, even if confidence intervals overlap, values can still be significantly different from one another (for interpretation of confidence intervals, see Cumming & Finch, 2005).”
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“Substantive interpretations can be based on values anywhere in the interval (Cumming & Finch, 2005).”
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Howard, J. L., Bureau, J., Guay, F., Chong, J. X. Y., & Ryan, R. M. (2021) · Perspectives on Psychological Science · doi:10.1177/1745691620966789 · Cited by 1,001
“To compare the effect sizes between regulation types, we relied on the confidence interval method proposed by Cumming and Finch (2005).”
MethodResultMann, R. E., Hanson, R. K., & Thornton, D. (2010) · Sexual Abuse · doi:10.1177/1079063210366039 · Cited by 1,044
“When the observations are uncorrelated, two values can be considered to differ at the p .01 level if their CIs do not overlap (Cumming & Finch, 2005).”
BackgroundError bars in experimental biology
Cumming, G., Fidler, F., & Vaux, D. L. (2007) · The Journal of Cell Biology · doi:10.1083/jcb.200611141 · Cited by 940
“, from n knock-out mice and n wild-type mice, you can compare the SE bars or the 95% CIs on the two means (6).”
BackgroundSelf-citationThe psychological effects of meditation: a meta-analysis
Sedlmeier, P., Eberth, J., Schwarz, M., Zimmermann, D., Haarig, F., Jaeger, S., & Kunze, S. (2012) · Psychological Bulletin · doi:10.1037/a0028168 · Cited by 910
“Cumming and Finch (2005) showed that if 95% CIs for independent means do not overlap, this is equivalent to a significant difference between the two respective means at .01 (see also Cumming, 2011).”
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Hofmann, W., Houwer, J. D., Perugini, M., Baeyens, F., & Crombez, G. (2010) · Psychological Bulletin · doi:10.1037/a0018916 · Cited by 993
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Recommendations for Increasing Replicability in Psychology
Asendorpf, J. B., Conner, M. T., Fruyt, F. D., Houwer, J. D., Denissen, J. J. A., Fiedler, K., Fiedler, S., Funder, D. C., Kliegl, R. M., Nosek, B. A., et al. (2013) · European Journal of Personality · doi:10.1002/per.1919 · Cited by 876
“If the key parameter (e.g. a correlation) of the replication study falls within the CI of the initial study (or if the two CIs overlap substantially, Cumming & Finch, 2005), one can argue more strongly that the result is replicated.”
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“Please note that inferences on significance are somewhat limited if the sizes of the two CIs to be compared differ by more than a factor of 2 (Cumming and Finch 2005).”
BackgroundToward using confidence intervals to compare correlations.
Zou, G. (2007) · Psychological Methods · doi:10.1037/1082-989x.12.4.399 · Cited by 744
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“An informal adjustment towards conservatism, to protect against inflated Type 1 error rates [ 5 ], may be to use p 5 ] recommended a range of ways to think about CIs without invoking p values.”
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Campbell, J. I. D., & Thompson, V. A. (2012) · Behavior Research Methods · doi:10.3758/s13428-012-0186-0 · Cited by 701
“For example graphs and interpre-tative strategies, see Cumming and Finch (2005), Jarmasz and Hollands (2009), and Masson and Loftus (2003).”
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“Cumming and Finch’s (2005) procedure was used to detect significant differences between group means by examining the extent of any overlap in the two groups’ mean confidence intervals.”
MethodPenner, I., Raselli, C., Stöcklin, M., Opwis, K., Kappos, L., & Calabrese, P. (2009) · Multiple Sclerosis Journal · doi:10.1177/1352458509348519 · Cited by 595
The fallacy of placing confidence in confidence intervals
Morey, R. D., Hoekstra, R., Rouder, J. N., Lee, M. D., & Wagenmakers, E.-J. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0947-8 · Cited by 577
“…data by making dichotomous statements (Neyman 1937, 1941), eventually becoming a method that many believe is the best way to reason from data (e.g. Cumming & Finch, 2005; Cumming & Fidler, 2009) and a way to avoid dichotomous statements (e.g. Cumming, 2014; Hoekstra, Finch, Kiers, & Johnson,…”
MethodPlotsOfData—A web app for visualizing data together with their summaries
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Risks and Decisions for Conservation and Environmental Management
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“Many advocates of statistical reform, including Kline (2004, Chapter 3) and Cumming and Finch (2005), have presented reasons why psychologists should use CIs wherever possible.”
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“IF in the ‘ knowledge ’ outcome was the only moderator variable for which there was no observed CI overlap between conditions and thus a signifi cant difference (Cumming & Finch, 2005).”
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“When two CIs overlapped by no more than one quarter of the average length of the two intervals, then these mean effects were also interpreted as representing two different population parameters and were statistically different at approximately p ≤ .05 (Cumming & Finch, 2005).”
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Celio, C. I., Durlak, J. A., & Dymnicki, A. B. (2011) · Journal of Experiential Education · doi:10.5193/jee34.2.164 · Cited by 430
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Suárez‐Álvarez, J., Pedrosa, I., Fernández, L. M. L., Garcı́a-Cueto, E., Cuesta, M., & Muñiz, J. (2018) · Psicothema · doi:10.7334/psicothema2018.33 · Cited by 478
“The standard error of the estimate was .10 (CI = ± .196), confi dence intervals of the items did not overlap in 14 out of the 20 items when comparing regular and combined forms, so statistically signifi cant differences were found in these 14 items (α = .05; Cumming & Finch, 2006).”
Arthur, W., Bell, S. T., Villado, A. J., & Doverspike, D. (2006) · Journal of Applied Psychology · doi:10.1037/0021-9010.91.4.786 · Cited by 470
“The confidence interval reflects the extent to which sampling error remains in the effect size estimate (Whitener, 1990) and suggests the range of plausible values for the true effect size (Cumming & Finch, 2005).”
BackgroundBureau, J. S., Howard, J. L., Chong, J. X. Y., & Guay, F. (2022) · Review of Educational Research · doi:10.3102/00346543211042426 · Cited by 414
“In these analyses, similar estimated effects and overlapping confidence interval would indicate that published and unpublished samples are similar (Cumming & Finch, 2005) and therefore do not present evidence for publication bias.”
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Hentschke, H., & Stüttgen, M. C. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07902.x · Cited by 421
“The misuse of NHST has perhaps been most hotly debated in psychology (Loftus, 1996; Cumming & Finch, 2005).”
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Nitschke, J. B., Sarinopoulos, I., Mackiewicz, K. L., Schaefer, H. S., & Davidson, R. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.068 · Cited by 398
“More recently, LeDoux (2002) described aversive stimuli and warning signals that precede them as being served by a single brain system (pp.”
BackgroundInfluentialVan den Broeck, A., Howard, J. L., Van Vaerenbergh, Y., Leroy, H., & Gagné, M. (2021) · Organizational Psychology Review · doi:10.1177/20413866211006173 · Cited by 409
“In accordance with Cumming and Finch (2005), non-overlapping CIs indicated differences bet-ween values at a probability approximately equal to .01, and CIs which overlapped less than 50 % were considered indicative of differences in values of approximately p .05.”
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“In fact, when sample sizes are similar and not small, and CI widths are similar, then if 95% CIs on independent means just touch, the two-tail p value is about .006 ( Cumming & Finch, 2005; Payton, Greenstone, & Schenker, 2003), not .05 as many believe.”
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Zyphur, M. J., & Oswald, F. L. (2013) · Journal of Management · doi:10.1177/0149206313501200 · Cited by 415
“Based on credibility intervals, this approach is stronger than the many recommendations for using confidence intervals (e.g., American Psychological Association, 2010; Cumming & Finch, 2005).”
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“Our software program also graphs CIs, keeping in mind that the statistical differences between statistics may still be significant even when their respective CIs overlap (Cumming & Finch, 2005).”
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“Cumming and Finch(16) list four advantages of using CIs: they give point interval estimates in easily comprehensible units; p values can be easily estimated using CIs, with 14 overlap of 95% CI width being approximately equivalent to p<.05 (for independent groups); CIs help combine evidence from multiple studies, thus…”
BackgroundSelf-citationLowenkamp, C. T., Latessa, E. J., & Smith, P. (2006) · Criminology & Public Policy · doi:10.1111/j.1745-9133.2006.00388.x · Cited by 351
“For a discussion of the different ways the CI can be interpreted, see Cumming and Finch (2005). It should be noted that the CI can be interpreted as a significance test; that is, a CI that contains 0 is not statistically significant.”
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“…placed in the context of additional information, such as confidence intervals and effect size (AERA, 2006; Ander- son et al., 2000; APA, 2001, 2010; Cumming & Finch, 2002; Fan, 2001; Kirk, 1996, 2001; McLean & Ernest, 1998; Snyder & Lawson, 1993; Thompson, 1996, 1997, 2002b; Vacha-Haase &…”
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“Effect Size Comparisons We followed the guidelines of Cumming and Finch (2005), wherein mean ESs whose CIs do not include zero are considered statistically significant, pairs of CIs with no overlap are statistically different at the p<.”
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“…the RTs of each individual and ascertained whether the individual data fall outside of the 95% confidence interval of the control subjects, following the recommendations for single case study analysis (Crawford & Garthwaite, 2004) and other statistical recommendations (Cumming & Finch, 2005).”
MethodFair Statistical Communication in HCI
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“If needed, a p-value can always be roughly inferred from a confidence interval by looking at how far it is from zero (Cumming and Finch, 2005; Cumming, 2012, pp.106–108).”
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“However, the converse is not true: overlapping con dence intervals do not necessarily mean that the means are not di erent (see Figure 4 in [17] for explanation).”
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“As described by Cumming and Finch (2005), this approach does not require a specialised understanding of meta-analytic techniques, and instead assesses how closely related two confidence intervals are, such as those presented in Figures 1–3 (see ‘results’).”
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“The error bars represent 95% confidence intervals (according to Cumming and Finch, 2005, two samples differ significantly at, for example, p \ 0.01 if the corresponding intervals do not overlap).”
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“As was mentioned earlier, when effects within a study are theoretically expected to be different from each other, examination of the CIs illustrates whether this expectation was met (Cumming & Finch, 2005).”
BackgroundEditors Can Lead Researchers to Confidence Intervals, but Can't Make Them Think
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“Williams, & Cumming, 2005; Cumming, Williams, & Fidler, 2004); • empirical and conceptual studies of how CIs can most effectively be presented and used to interpret research results (e.g., Cumming & Finch, 2005 ); • empirical studies of how to teach CIs, and the consequences of giving CIs a foundational role in statis…”
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“For this latter situation, there are some rules of thumb for interpreting overlapping CIs appropriately (Cumming & Finch, 2005), or one may conduct a formal statistical test of the difference.”
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“This difference is compared to the pooled SE across variables, with gaps equal to or larger than the pooled SE indicating significant differences between models (Cumming and Finch 2005, rule 7).”
MethodLamb, S. H., & Kwok, K. C. S. (2015) · Applied Ergonomics · doi:10.1016/j.apergo.2015.07.010 · Cited by 228
Calculating and graphing within-subject confidence intervals for ANOVA
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“Cumming and Finch (2005) explored some of these barriers, providing guidance on how to calculate, report, and interpret CIs (with emphasis on the graphical presentation of means in a two-independent-group design).”
BackgroundMethodInfluentialAntipsychotic-Induced Extrapyramidal Side Effects in Bipolar Disorder and Schizophrenia
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Subjective socioeconomic status and health in cross-national comparison
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“(Note that when two 95% CI's do not overlap, the respective point estimates are significantly different at least at the 99% level, not just the 95% level, see e.g. Cumming and Finch, 2005).”
BackgroundThompson, R. J., Parker, K. J., Hallmayer, J. F., Waugh, C. E., & Gotlib, I. H. (2011) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2010.07.003 · Cited by 211
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Otto, S., & Kaiser, F. G. (2014) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2014.08.004 · Cited by 221
Why P Values Are Not a Useful Measure of Evidence in Statistical Significance Testing
Hubbard, R., & Lindsay, R. M. (2008) · Theory & Psychology · doi:10.1177/0959354307086923 · Cited by 226
“…overlapping CIs suggest tenable estimates of the same population parameter, and we applaud the very useful recent work in this area (e.g., Cumming & Finch, 2001, 2005; Fidler, Thomason, Cumming, Finch, & Leeman, 2005; Goldstein & Healy, 1995; Schenker & Gentleman, 2001; Schmidt, 1996;…”
MethodDemir‐Lira, Ö. E., Applebaum, L. R., Susan Goldin-meadow, A., & Levine, S. C. (2018) · Developmental Science · doi:10.1111/desc.12764 · Cited by 211
A Meta-Analysis of Perfectionism and Academic Achievement
Madigan, D. J. (2019) · Educational Psychology Review · doi:10.1007/s10648-019-09484-2 · Cited by 249
Effect-Size Measures and Meta-Analytic Thinking in Counseling Psychology Research
Henson, R. K. (2006) · The Counseling Psychologist · doi:10.1177/0011000005283558 · Cited by 200
“Many researchers have advanced the field by placing research focus on effect sizes and CIs and by emphasizing meta-analytic thinking (Cumming & Finch, 2005; Kline, 2004; Quintana & Minami, in press [TCP special issue, part 2]; Smithson, 2000; Thompson, 2002; Tryon, 2001).”
BackgroundInfluentialAltering expectancy dampens neural response to aversive taste in primary taste cortex
Nitschke, J. B., Dixon, G. E., Sarinopoulos, I., Short, S. J., Cohen, J. D., Smith, E. E., Kosslyn, S. M., Rose, R. M., & Davidson, R. J. (2006) · Nature Neuroscience · doi:10.1038/nn1645 · Cited by 199
Considerations for Visualizing Comparison
Gleicher, M. L. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2017.2744199 · Cited by 199
(2008) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 194
Hullman, J., Resnick, P., & Adar, E. (2015) · PLOS ONE · doi:10.1371/journal.pone.0142444 · Cited by 194
“For example, 92 error bars representing confidence intervals can be superimposed on bar charts [12].”
BackgroundIndividual differences and fitting methods for the two-choice diffusion model of decision making.
Ratcliff, R., & Childers, R. (2015) · Decision · doi:10.1037/dec0000030 · Cited by 202
“To identify an individual as different from our student population, his or her value for any of the parameters would have to lie at least one SD outside the 2 SD confidence interval for the students (e.g., Cumming & Finch, 2005).”
Confidence intervals in repeated-measures designs: The number of observations principle.
Jarmasz, J., & Hollands, J. G. (2009) · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · doi:10.1037/a0014164 · Cited by 191
“Rather than weigh in on the debate, Cumming and Finch (2005) take a “decisionwise” approach when using CIs, which limits the number of visual comparisons made with CIs, similar to the”
BackgroundSchubert, E. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00837 · Cited by 203
Lo, S., Scolyer, R. A., & Thompson, J. F. (2018) · Annals of Surgical Oncology · doi:10.1245/s10434-017-6325-1 · Cited by 181
“This difference was highly significant (p B 0.01), with no overlap of the CIs.16 This finding of a ‘‘natural’’ cut point at 0.8 mm was consistent with the Cox proportional hazard regression analyses.”
InfluentialGoedhart, J. (2021) · Molecular Biology of the Cell · doi:10.1091/mbc.e20-09-0583 · Cited by 181
“Super-PlotsOfData has an option to display the mean and 95% CI to enable inference by eye (Cumming and Finch, 2005; Cumming, 2009).”
Substitutes for procedural fairness: Prototypical leaders are endorsed whether they are fair or not.
Ullrich, J., Christ, O., & van Dick, R. (2009) · Journal of Applied Psychology · doi:10.1037/a0012936 · Cited by 196
Closed-form confidence intervals for functions of the normal mean and standard deviation
Donner, A. P., & Zou, G. (2010) · Statistical Methods in Medical Research · doi:10.1177/0962280210383082 · Cited by 172
“Thus, there is little need to conduct hypothesis testing by examining the overlap of these limits using, for example, an 83% confidence intervals.(18,19,35,36).”
Confidence intervals for correlations when data are not normal
Bishara, A. J., & Hittner, J. B. (2016) · Behavior Research Methods · doi:10.3758/s13428-016-0702-8 · Cited by 173
“…Department of Psychology, College of Charleston, 66 George Street, Charleston, SC 29424, USA hypothesis significance testing (see, e.g., Cohen, 1994; Cumming & Finch, 2005; Loftus, 1996; Tryon, 2001), and this suspicion has been supported by recent studies in statistical cognition.”
BackgroundConfidence intervals for two sample means: Calculation, interpretation, and a few simple rules
Pfister, R., & Janczyk, M. (2013) · Advances in Cognitive Psychology · doi:10.5709/acp-0133-x · Cited by 173
Welfare regimes, population health and health inequalities: a research synthesis
Brennenstuhl, S., Quesnel‐Vallée, A., & McDonough, P. (2011) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2011-200277 · Cited by 183
Conley, C. S., Shapiro, J. B., Huguenel, B. M., & Kirsch, A. C. (2020) · Emerging Adulthood · doi:10.1177/2167696818791603 · Cited by 171
“We followed the guidelines of Cumming and Finch (2005), who emphasized that interpreting significance only when the CIs of means do not overlap is too conservative.”
MethodSubstance and artifact in the higher-order factors of the Big Five.
McCrae, R. R., Yamagata, S., Jang, K. L., Riemann, R., Ando, J., Ono, Y., Angleitner, A., & Spinath, F. M. (2008) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.95.2.442 · Cited by 172
“It is important to note, however, that overlapping confidence intervals does not necessarily imply that the difference between the models is nonsignificant (Cumming & Finch, 2005).”
ResultDetecting and Correcting the Lies That Data Tell
Schmidt, F. (2010) · Perspectives on Psychological Science · doi:10.1177/1745691610369339 · Cited by 163
“CIs are just as objective as significance tests, and they provide far more information (Borenstein, 1994; Cumming & Finch, 2005).”
BackgroundThe New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known
Calin-Jageman, R. J., & Cumming, G. (2019) · The American Statistician · doi:10.1080/00031305.2018.1518266 · Cited by 183
“Thus, the natural inclination to use a “no overlap” rule is actually overly cautious, in many cases equivalent to requiring p 0.01 to judge results inconsistent (see Cumming and Finch 2005 for an explanation and important caveats).”
ResultInfluentialSelf-citationConfidence intervals for two sample means: Calculation, interpretation, and a few simple rules.
Pfister, R., & Janczyk, M. (2013) · Europe PMC (PubMed Central) · doi:10.2478/v10053-008-0133-x · Cited by 166
Metadata
- 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
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.
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