The DOI matches its Crossref record; 59 of the 60 references it cites were found in a registry or an index.
Bayesian Versus Orthodox Statistics: Which Side Are You On?
Open accessAbstract
Researchers are often confused about what can be inferred from significance tests. One problem occurs when people apply Bayesian intuitions to significance testing—two approaches that must be firmly separated. This article presents some common situations in which the approaches come to different conclusions; you can see where your intuitions initially lie. The situations include multiple testing, deciding when to stop running participants, and when a theory was thought of relative to finding out results. The interpretation of nonsignificant results has also been persistently problematic in a way that Bayesian inference can clarify. The Bayesian and orthodox approaches are placed in the context of different notions of rationality, and I accuse myself and others as having been irrational in the way we have been using statistics on a key notion of rationality. The reader is shown how to apply Bayesian inference in practice, using free online software, to allow more coherent inferences from data.
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“In terms of statistics, a Bayesian approach might be more appropriate than Fisherian statistics [56] as the Fisher approach is not appropriate with limited data [48].”
From Agile science: creating useful products for behavior change in the real world (2016) · cites this paper as [56]
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The Neural Correlates of Cognitive Objectification
Bernard, P., Rizzo, T., Hoonhorst, I., Deliens, G., Gervais, S. J., Eberlen, J. C., Bayard, C., Deltenre, P., Colin, C., & Klein, O. (2017) · Social Psychological and Personality Science · doi:10.1177/1948550617714582 · Cited by 37
“We used Dienes’ (2011) calculator.”
Enhanced Pavlovian aversive conditioning to positive emotional stimuli.
Stussi, Y., Pourtois, G., & Sander, D. (2018) · Journal of Experimental Psychology General · doi:10.1037/xge0000424 · Cited by 41
Finding cancer in mammograms: if you know it’s there, do you know where?
Carrigan, A., Wardle, S. G., & Rich, A. N. (2018) · Cognitive Research Principles and Implications · doi:10.1186/s41235-018-0096-5 · Cited by 37
“First, to interpret a null effect as evidence for there being no effect (in this case no localisation), would need alternate statistics, such as a Bayes Factor (Dienes, 2011), to assess the degree of evidence for ‘no effect’.”
MethodResultInfluentialImmersive virtual environments and embodied agents for e-learning applications
Fitton, I. S., Finnegan, D. J., & Proulx, M. J. (2020) · PeerJ Computer Science · doi:10.7717/peerj-cs.315 · Cited by 39
“…hypothesis signi fi cance testing and the associated p -value has many shortcomings, for example it relies on hypothetical data and can be easily manipulated — with larger sample sizes able to make small differences signi fi cant without any practical value ( Jarosz & Wiley, 2014 ; Dienes, 2011 ).”
MethodWhether others were treated equally affects neural responses to unfairness in the Ultimatum Game
Zheng, L., Guo, X., Zhu, L., Li, J., Chen, L., & Dienes, Z. P. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu071 · Cited by 37
“A Bayes factor was calculated, with the predictions of H1 modeled as a half-normal with an s.d. of 124 ms (as per Dienes, 2011, forthcoming), giving B¼ 0.28.”
BackgroundMethodInfluentialSelf-citationRubin, M. (2017) · Review of General Psychology · doi:10.1037/gpr0000135 · Cited by 32
“Consequently, it is not susceptible to the forking paths problem (Dienes, 2011; see also Bender & Lange, 2001).”
BackgroundEckardt, N., & Rosenblatt, N. J. (2018) · Human Movement Science · doi:10.1016/j.humov.2018.09.008 · Cited by 38
Statistical Inference and the Replication Crisis
Colling, L. J., & Szűcs, D. (2018) · Review of Philosophy and Psychology · doi:10.1007/s13164-018-0421-4 · Cited by 52
“E-mail: lincoln@colling.net.nz newed interest in the conceptual foundations of significance testing and renewed criticism of the procedures themselves (e.g., Wagenmakers, 2007; Dienes, 2011; Szűcs and Ioannidis, 2017b).”
BackgroundMethodLearning without consciously knowing: Evidence from event-related potentials in sequence learning
Fu, Q., Bin, G., Dienes, Z. P., Fu, X., & Gao, X. (2012) · Consciousness and Cognition · doi:10.1016/j.concog.2012.10.008 · Cited by 36
“…knowledge (all 1.12 lV or greater), and also excludes the size of P3 effect found for explicit triplets reported above (i.e., .73 lV).4 Bayes Factors can be used to establish the strength of evidence for a theory predicting an effect over the null hypothesis, or vice versa (Dienes, 2008b, 2011).”
InfluentialSelf-citationEnhanced dimension-specific visual working memory in grapheme–color synesthesia
Terhune, D. B., Wudarczyk, O. A., Kochuparampil, P., & Kadosh, R. C. (2013) · Cognition · doi:10.1016/j.cognition.2013.06.009 · Cited by 35
“However, our assessment of whether the synesthetic Congruency effect supports the prediction of the dual-coding hypothesis using the Bayes factor (Dienes, 2011) was restricted to synesthetes and thus is not hindered by this confound.”
BackgroundMethodInfluentialAn Empirically Driven Guide on Using Bayes Factors for M/EEG Decoding
Teichmann, L., Moerel, D., Baker, C. I., & Grootswagers, T. (2022) · Aperture Neuro · doi:10.52294/82179f90-eeb9-4933-adbe-c2a454577289 · Cited by 34
Sedgmond, J., Lawrence, N., Verbruggen, F., Morrison, S., Chambers, C., & Adams, R. C. (2019) · Royal Society Open Science · doi:10.1098/rsos.181186 · Cited by 36
“Bayes factors were also calculated to interpret null findings and assess the strength of evidence [63–65].”
Supraliminal But Not Subliminal Distracters Bias Working Memory Recall
Wildegger, T., Myers, N. E., Humphreys, G. W., & Nobre, A. C. (2015) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000052 · Cited by 34
“Under the Bayesian framework, it is possible to combine data sets and as one adds more data one is simply adding more evidence to prior (however vague) knowledge (Dienes, 2011).”
BackgroundMethodThe propositional basis of cue-controlled reward seeking
Seabrooke, T., Hogarth, L., & Mitchell, C. J. (2015) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2015.1115885 · Cited by 34
“Bayes factors below 0.3 and above 3 are evidence for the null and the alternative hypothesis, respectively, while values in between indicate that the data are insensitive (Dienes, 2011).”
BackgroundInfluentialWyssen, A., Bryjová, J., Meyer, A. H., & Munsch, S. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.09.010 · Cited by 35
Hypnosis-based psychodynamic treatment in ALS: a longitudinal study on patients and their caregivers
Kleinbub, J. R., Palmieri, A., Broggio, A., Pagnini, F., Benelli, E., Sambin, M., & Sorarú, G. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00822 · Cited by 34
“The DSQ is a widely used self-report measure of empirically derived groupings of defense mechanism ranked on an adaptive hierarchy.”
MethodNegative Affect Reduces Performance in Implicit Sequence Learning
Shang, J., Fu, Q., Dienes, Z. P., Shao, C., & Fu, X. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054693 · Cited by 37
“Values in between indicate data insensitivity (see [32,55], for explanation of Bayes Factors and free online software).”
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“It cannot be negative [35].”
Unsworth, D. J., & Mathias, J. L. (2016) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2016.1248812 · Cited by 35
“Whereas standard hypothesis testing assumes that the null hypothesis is correct and evaluates whether it can be rejected based on the evidence, Bayes factors measure the relative strength of evidence in favor of both the alternate and the null hypothesis (Dienes, 2011; Wagenmakers, 2007).”
BackgroundPeerdeman, K. J., van Laarhoven, A. I. M., Donders, A. R. T., Hopman, M. T. E., Peters, M. L., & Evers, A. W. M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0139563 · Cited by 33
“33 and 3 indicates merely anecdotal or inconclusive evidence for either hypothesis [68,69].”
Reproducibility in Psychological Science: When Do Psychological Phenomena Exist?
Iso‐Ahola, S. E. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00879 · Cited by 41
“That is, the null result could be due to a test that is not sensitive enough to pick up a population difference between the two groups being compared (Dienes, 2011).”
BackgroundMethodUnexpected action outcomes produce enhanced temporal binding but diminished judgement of agency
Majchrowicz, B., & Wierzchoń, M. (2018) · Consciousness and Cognition · doi:10.1016/j.concog.2018.09.007 · Cited by 38
Rabeyron, T., & Massicotte, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00366 · Cited by 34
“This model now appears more and more frequently within the field of empirical psychology (see Dienes, 2011).”
BackgroundWehrle, S., Cangemi, F., Janz, A., Vogeley, K. T., & Grice, M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0284029 · Cited by 38
“Additionally, Bayesian methods seem to be much more closely aligned with common human intuitions and ways of reasoning about the interpretation of statistical tests in general and the notion of significance in particular [35, 37, 38].”
The Person-situation Debate and the Assessment of Situations
Funder, D. C., Guillaume, E. M., Kumagai, S., Kawamoto, S., & Sato, T. (2012) · The Japanese Journal of Personality · doi:10.2132/personality.21.1 · Cited by 38
“First, it appropriately drew attention away from statistical “signi cance levels,” which are fraught with interpretive problems (Rozeboom, 1960; Dienes, 2011), and towards more informative measures of effect size (Wilkinson & The Task Force on Statistical Inference, 1999).”
BackgroundRevising Beliefs about the Merit of Unconscious Thought: Evidence in Favor of the Null Hypothesis
Newell, B. R., & Rakow, T. (2011) · Social Cognition · doi:10.1521/soco.2011.29.6.711 · Cited by 36
“If one were to take this approach, a “half-normal” or “half-Cauchy” onetailed distribution would be a suitable form for the alternate prior distribution (Dienes, 2011; Rouder & Morey, 2011).”
BackgroundMethodInfluentialJackson, J. B., & Woolgar, A. (2018) · Cortex · doi:10.1016/j.cortex.2018.07.006 · Cited by 35
“…results Prior to scanning, the stimulus set was titrated to match reaction times between the two tasks for each participant separately (assessed with Bayes factor analysis for each participant separately, using a threshold of BF < 1, all actual BF10 < .76) (Dienes, 2011; Love et al., 2015).”
MethodTesting a goal-driven account of involuntary attentional capture by threat.
Brown, C. R. H., Berggren, N., & Forster, S. (2019) · Emotion · doi:10.1037/emo0000565 · Cited by 33
Gaze Direction Modulates the Relation between Neural Responses to Faces and Visual Awareness
Madipakkam, A. R., Rothkirch, M., Guggenmos, M., Heinz, A., & Sterzer, P. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0815-15.2015 · Cited by 33
“Bayes factors 0.33 provide substantial evidence for the null over the alternative hypothesis, whereas Bayes factors 3 can be interpreted as evidence for the alternative over the null hypothesis (Dienes, 2011).”
BackgroundMethodInfluentialZein, M. E., Wyart, V., & Grèzes, J. (2015) · eLife · doi:10.7554/elife.10274 · Cited by 32
“Bayes factors were computed for critical absence of effects observed, to distinguish between the lack of sensitivity of tests and genuine absence of difference (Dienes, 2011).”
MethodGorin, S., Kowialiewski, B., & Majerus, S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0168699 · Cited by 35
Visscher, A. D., Vogel, S., Reishofer, G., Hassler, E. M., Koschutnig, K., Smedt, B. D., & Grabner, R. H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.060 · Cited by 32
Rattel, J. A., Grünberger, L. M., Reichenberger, J., Liedlgruber, M., Miedl, S. F., Blechert, J., & Wilhelm, F. H. (2018) · Cognitive Therapy and Research · doi:10.1007/s10608-018-9941-6 · Cited by 39
“Bayes factors (BF) computed in JASP (2017) are reported for main results, allowing interpretations in favor of the H0 (no group differences): BF < 1/3 can be interpreted as evidence for H0, BF > 1/3 and < 3 as no evidence to speak of, and BF > 3 is evidence for H1 (see Dienes 2011).”
MethodBayesian data analysis for newcomersPreprint
Kruschke, J. K., & Liddell, T. M. (2017) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/nqfr5 · Cited by 40
Historical Inductions: New Cherries, Same Old Cherry-picking
Mizrahi, M. (2015) · International Studies in the Philosophy of Science · doi:10.1080/02698595.2015.1119413 · Cited by 31
Simulation Studies as a Tool to Understand Bayes Factors
van Ravenzwaaij, D., & Etz, A. J. (2021) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245920972624 · Cited by 31
“…alternatives to traditional ways of conducting statistical testing are not infrequently various forms of Bayesian hypothesis testing (see, e.g., Dienes, 2011; Kruschke, 2014; Lee & Wagenmakers, 2013; Rouder et al., 2009; van Ravenzwaaij et al., 2019; van Ravenzwaaij & Wagenmakers, 2021; see…”
BackgroundMatthews, W. J. (2011) · Judgment and Decision Making · doi:10.1017/s1930297500004265 · Cited by 31
“…a Bayesian approach to hypothesis testing, and a number of researchers have recently argued for a more widespread adoption of this approach (e.g., Dienes, 2011; Lee & Wagenmakers, 2005; Rouder, Speckman, Sun, Morey, & Iverson, 2009; Wagenmakers, 2007; Wagenmakers, Lodewyckx, Kuriyal, & Grasman,…”
Morgan, H. M., Davis, N. J., & Bracewell, R. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092162 · Cited by 34
“is considered weak evidence [45].”
Accounting for Therapist Variability in Couple Therapy Outcomes: What Really Matters?
Owen, J. J., Duncan, B. L., Reese, R. J., Anker, M. G., & Sparks, J. A. (2013) · Journal of Sex & Marital Therapy · doi:10.1080/0092623x.2013.772552 · Cited by 31
“The use of prior knowledge is commonly described as the prior distribution that can be represent previous findings in the literature or in cases when there is less previous knowledge to inform the model, the prior distribution is more uncertain or wider (Dienes, 2011).”
BackgroundTemporal constraints of the word blindness posthypnotic suggestion on Stroop task performance.
Parris, B. A., Dienes, Z. P., & Hodgson, T. L. (2012) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0028131 · Cited by 34
Self-citationOrtega, A., & Navarrete, G. (2017) · Bayesian Inference · doi:10.5772/intechopen.70230 · Cited by 31
“NHST does not provide clear rules for stopping data collection; therefore, as long as sample size increases any H0 can be rejected (see [9, 18]).”
BackgroundMethodInfluentialThe effect of scrambling upright and inverted faces on the N170
Civile, C., Elchlepp, H., McLaren, R., Galang, C. M., Lavric, A., & McLaren, I. P. L. (2018) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021817744455 · Cited by 29
“This factor is substantially less than 1, providing some support for the null (for Bayes factor calculator, see Dienes, 2011); however, it does not establish it (which it would if less than 0.1).”
BackgroundMethodInfluentialTwo-to-one color-response mapping and the presence of semantic conflict in the Stroop task
Hasshim, N., & Parris, B. A. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01157 · Cited by 30
“Using the same criteria employed to calculate the Bayes Factor in Experiment 2A, the non-significant [t(35) = 1.07, p = 0.294, r = 0.18] difference between the two conditions returned a Bayes Factor of 0.58 a value that cannot be taken as evidence for nor against the theory under test (Dienes, 2011) and is therefore n…”
MethodInfluentialA Bayesian Primer for the Organizational Sciences
Jebb, A. T., & Woo, S. E. (2014) · Organizational Research Methods · doi:10.1177/1094428114553060 · Cited by 29
“For instance, the prior for a mean or a regression slope is often modeled by the normal distribution. m, s2 Its parameters are m, the mean, a location parameter that determines its center, and s2, the variance, a scale parameter that determines its spread.”
BackgroundMethodInfluentialThe working alliance in treatment of military adolescents.
Owen, J. J., Miller, S. D., Seidel, J. A., & Chow, D. L. (2016) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000035 · Cited by 32
Brydges, C. R., & Bielak, A. A. M. (2019) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbz033 · Cited by 32
Interdependence in Vehicle-Pedestrian Encounters and its Implications for Vehicle Automation
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The neural dynamics underlying prioritisation of task-relevant information
Grootswagers, T., Robinson, A. K., Shatek, S. M., & Carlson, T. A. (2021) · Neurons Behavior Data analysis and Theory · doi:10.51628/001c.21174 · Cited by 29
Dopaminergic therapy in aphasia
Gill, S. K., & Leff, A. P. (2013) · Aphasiology · doi:10.1080/02687038.2013.802286 · Cited by 28
“As Fisher said, after a negative study, one can only “withhold judgment” (Dienes, 2011); but negative studies are harder to publish and one can’t help but wonder if publication bias is at work here, especially for the smaller, uncontrolled studies (Dwan et al., 2008).”
Conscious and unconscious thought in artificial grammar learning
Mealor, A. D., & Dienes, Z. P. (2012) · Consciousness and Cognition · doi:10.1016/j.concog.2012.03.001 · Cited by 33
“While the tests were non-significant in the latter two cases, it is not clear whether this counts as evidence against the application of UTT to conscious knowledge or whether the evidence is just insensitive (Dienes, 2011).”
BackgroundInfluentialSelf-citationWhy Evaluating Uncertainty Visualization is Error Prone
Hullman, J. R. (2016) · doi:10.1145/2993901.2993919 · Cited by 30
“The common misinterpretation of a confidence interval is frequently attributed to viewers erroneously interpreting the range from a Bayesian perspective [12, 16].”
BackgroundExogenous attention to unseen objects?
Norman, L. J., Heywood, C. A., & Kentridge, R. W. (2015) · Consciousness and Cognition · doi:10.1016/j.concog.2015.02.015 · Cited by 28
“Following the guide of Dienes (2011), we performed a Bayesian model comparison based on these parameters and calculated a Bayes factor of 0.26.”
MethodInfluentialFood insecurity, poor diet, and metabolic measures: The roles of stress and cortisol
Chiu, D. T., Parker, J. E., Wiley, C. R., Epel, E. S., Laraia, B. A., Leung, C. W., & Tomiyama, A. J. (2024) · Appetite · doi:10.1016/j.appet.2024.107294 · Cited by 36
“Of note, the use of a Bayesian inferential framework does not require adjustment for multiple comparisons as is practice in frequentist inference (Dienes, 2011).”
Selective attention and decision-making have separable neural bases in space and time
Moerel, D., Rich, A. N., & Woolgar, A. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0224-24.2024 · Cited by 32
Parris, B. A., Dienes, Z. P., & Hodgson, T. L. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00647 · Cited by 29
“Bayes Factors are presented within the brackets.”
BackgroundMethodResultInfluentialSelf-citationSarma, A., & Kay, M. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376377 · Cited by 29
“A number of recent papers describe advantages of adopting Bayesian inference methods, both in the social sciences [2,8, 24,35,36] and in HCI [31,42].”
BackgroundSmith, R. S., Taylor, S., Stewart, J. L., Guinjoan, S. M., Ironside, M., Kirlić, N., Ekhtiari, H., White, E. J., Zheng, H., Kuplicki, R., et al. (2022) · Computational Psychiatry · doi:10.5334/cpsy.85 · Cited by 28
Parris, B. A., & Dienes, Z. P. (2013) · Consciousness and Cognition · doi:10.1016/j.concog.2013.05.009 · Cited by 30
“The Bayes Factor was .97 indicating the evidence was insensitive in distinguishing the hypothesis of a quadratic from the null hypothesis (.33 and below being the cut off for strong evidence for the null, Dienes (2011)).”
MethodSelf-citationBrown, C. R. H., Duka, T., & Forster, S. (2018) · Psychopharmacology · doi:10.1007/s00213-018-4906-8 · Cited by 28
“A value closer to 1 suggests that the result is insensitive and any difference is Banecdotal^ (Dienes 2008, 2011, 2014, 2016).”
BackgroundPosterior-Hacking: Selective Reporting Invalidates Bayesian Results AlsoPreprint
Simonsohn, U. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2374040 · Cited by 31
Borragán, G., Gilson, M., Guerrero-Mosquera, C., Ricci, E. D., Slama, H., & Peigneux, P. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02351 · Cited by 29
“…resting state sessions. tDCS (sham or real, in counterbalanced order) was applied for 25 min starting from the beginning of the experiment. substantial evidence for the null hypothesis (H0), and values between 0.333 and 3 are deemed inconclusive and indicate a lack of sensitivity (Dienes, 2011).”
MethodInfluentialUnimodal statistical learning produces multimodal object-like representations
Lengyel, G., Žalalytė, G. M., Pantelides, A., Ingram, J. N., Fiser, J., Lengyel, M., & Wolpert, D. M. (2019) · eLife · doi:10.7554/elife.43942 · Cited by 27
“Thus, the process of adding participants, and the consistent usage of Bayes factors throughout (see below), ensured our study was not biassed towards favourable results (Dienes, 2011).”
Divided attention does not affect the acquisition and consolidation of transitional probabilities
Horváth, K., Török, C., Pesthy, O., Németh, D., & Janacsek, K. (2020) · Scientific Reports · doi:10.1038/s41598-020-79232-y · Cited by 31
Teixeira-Santos, A. C., Moreira, C. S., Pereira, D. R., Pinal, D., Fregni, F., Leite, J., Carvalho, S., & Sampaio, A. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.827188 · Cited by 27
“We rejected the null hypothesis for the values of p close to 0.05 when the Bayesian analyses pointed out evidence in favor of the alternative hypothesis (Dienes, 2011), namely, when the posterior probability was equal or bigger than 0.95.”
MethodInfluentialSchwartzman, D. J., Schartner, M. M., Ador, B. B., Simonelli, F., Chang, A. Y.-C., & Seth, A. K. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/511766 · Cited by 29
From bad to worse: Symbolic equivalence and opposition in fear generalisation
Bennett, M., Hermans, D., Dymond, S., Vervoort, E., & Baeyens, F. (2015) · Cognition and Emotion · doi:10.1080/02699931.2014.973833 · Cited by 27
The value of Bayesian statistics for assessing credible evidence of animal sentience
Seth, A. K., & Dienes, Z. (2017) · Animal Sentience · doi:10.51291/2377-7478.1289 · Cited by 26
“, that species X does not show conditioned place avoidance) relative to the alternative, whereas standard frequentist statistics cannot provide evidence for the null hypothesis (Dienes, 2011).”
BackgroundResultSelf-citationConscious awareness is required for holistic face processing
Axelrod, V., & Rees, G. E. (2014) · Consciousness and Cognition · doi:10.1016/j.concog.2014.05.004 · Cited by 26
“Since the orthodox (Neyman and Pearson) statistical approach is unable to distinguish between these two possibilities, we adopted a Bayesian approach (Dienes, 2011).”
BackgroundMethodInfluentialColor Afterimages in Autistic Adults
Maule, J., Stanworth, K., Pellicano, E., & Franklin, A. (2016) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-016-2786-5 · Cited by 26
Moore, T. E., Jones, C. S., Chong, C., & Schlichting, C. D. (2020) · Functional Ecology · doi:10.1111/1365-2435.13533 · Cited by 26
Reaction time and working memory in gamers and non-gamers
Ziv, G., Lidor, R., & Levin, O. (2022) · Scientific Reports · doi:10.1038/s41598-022-10986-3 · Cited by 29
Hutson, J., & Damian, M. F. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00872 · Cited by 26
The speed of metacognition: Taking time to get to know one’s structural knowledge
Mealor, A. D., & Dienes, Z. P. (2012) · Consciousness and Cognition · doi:10.1016/j.concog.2012.11.009 · Cited by 28
Self-citationShould metacognition be measured by logistic regression?
Rausch, M., & Zehetleitner, M. (2017) · Consciousness and Cognition · doi:10.1016/j.concog.2017.02.007 · Cited by 26
Suicidal Behavior and Stress Generation in Adolescents
Liu, R. T., & Spirito, A. (2019) · Clinical Psychological Science · doi:10.1177/2167702618810227 · Cited by 29
“One statistical approach well suited for addressing this limitation of NHST in providing support for the null hypothesis is Bayesian analysis (Dienes, 2011).”
MethodAlcohol increases hypnotic susceptibility
Semmens-Wheeler, R., Dienes, Z., & Duka, T. (2013) · Consciousness and Cognition · doi:10.1016/j.concog.2013.07.001 · Cited by 28
“The results conceptually replicate those of Dienes and Hutton (2013) who showed that applying rTMS to the left DLPFC increased subjective ratings of hypnotic experience, compared to stimulation of the vertex.”
BackgroundResultSelf-citationA Bayesian Latent Group Analysis for Detecting Poor Effort in the Assessment of Malingering
Ortega, A., Wagenmakers, E., Lee, M. D., Markowitsch, H. J., & Piefke, M. (2012) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acs038 · Cited by 25
“For more detailed information about Bayesian inference, see, for instance, O’Hagan and Forster (2004), Kruschke and John (2010), Lee and Wagenmakers (2010), and Dienes (2011).”
BackgroundA Bayesian Hierarchical Model for Comparing Average F1 Scores
Zhang, D., Wang, Y.-X., Zhao, X., & Wang, X. (2015) · Proceedings · doi:10.1109/icdm.2015.44 · Cited by 25
“Although for simple models the value of Bayes factor can be derived analytically as shown by [14]–[17], for complex models it can only be computed numerically using for example the Savage-Dickey (SD) method [18]–[20].”
MethodHaupt, M., Ruiz‐Rizzo, A. L., Sorg, C., & Finke, K. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.019 · Cited by 26
Caspar, É. A., Ioumpa, K., Arnaldo, I., Angelis, L. D., Gazzola, V., & Keysers, C. (2022) · eNeuro · doi:10.1523/eneuro.0508-21.2022 · Cited by 25
“General data analyses Data were analyzed with both frequentist and Bayesian statistics (Dienes, 2011), except for voxel-wise brain analyses that were only analyzed using frequentist approaches.”
MethodThe Timing and Neuroanatomy of Conscious Vision as Revealed by TMS-induced Blindsight
Allen, C. P. G., Sumner, P., & Chambers, C. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00557 · Cited by 27
Perceptual learning and inversion effects: Recognition of prototype-defined familiar checkerboards.
Civile, C., Zhao, D., Ku, Y., Elchlepp, H., Lavric, A., & McLaren, I. P. L. (2013) · Journal of Experimental Psychology Animal Learning and Cognition · doi:10.1037/xan0000013 · Cited by 25
“Using these assumptions, we employed the Bayes factor calculator provided by Dienes (2011) with a half-normal distribution, and this gave a Bayes factor of 3.18 for the contrast between upright familiar and inverted familiar category exemplars, confirming that we can be confident of this inversion…”
MethodInfluentialPlacebo-Suggestion Modulates Conflict Resolution in the Stroop Task
da Gama, P. A. M. D. S., Slama, H., Caspar, É. A., Gevers, W., & Axel Cleeremans, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075701 · Cited by 25
“The Bayes Factor is a number between 0 and infinity, where values greater than three indicate strong evidence for the alternative hypothesis (H1), values less than 1/3 indicate strong evidence for the null (H0), and values between 1/3 and 3 indicate lack of sensitivity [56].”
BackgroundMethodBayesian change-point analysis reveals developmental change in a classic theory of mind task
Baker, S. T., Leslie, A. M., Gallistel, C. R., & Hood, B. M. (2016) · Cognitive Psychology · doi:10.1016/j.cogpsych.2016.08.001 · Cited by 24
“In contrast to tNHST, Bayesian change point analysis provides a tool for evaluating the strength of the evidence in favor of various models of change in the probability of obtaining a value in a chronological record (Dienes, 2011; Lee & Wagenmakers, 2005; Salsburg, 2001).”
Perski, O., Herd, N. L., West, R., & Brown, J. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.11.030 · Cited by 28
“Unplanned further analyses were undertaken to examine whether non-significant associations could best be characterised as evidence of no effect or whether data were insensitive (Depaoli, Rus, Clifton, van de Schoot, & Tiemensma, 2017; Dienes, 2011, 2016).”
BackgroundCorrelates of extinction risk in Australian squamate reptiles
Senior, A. F., Böhm, M., Johnstone, C. P., McGee, M. D., Meiri, S., Chapple, D. G., & Tingley, R. (2021) · Journal of Biogeography · doi:10.1111/jbi.14140 · Cited by 25
“We chose to do this in a Bayesian framework, partially because Bayesian analyses are robust to multiple comparisons (Dienes, 2011; Gelman et al., 2012, 2013).”
Confidence in Personal Preferences
Koriat, A. (2012) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1758 · Cited by 24
“Thus, underlying subjective confidence is the implicit belief (common among researchers but challenged by statisticians, see Dienes, 2011; Schervish, 1996) that the statistical level of significance is diagnostic of the correctness of the tested hypothesis, as well as the likely reproducibility of…”
Farthouat, J., Atas, A., Wens, V., Tiège, X. D., & Peigneux, P. (2018) · Scientific Reports · doi:10.1038/s41598-018-30105-5 · Cited by 23
Carrigan, A., Curby, K. M., Moerel, D., & Rich, A. N. (2019) · Attention Perception & Psychophysics · doi:10.3758/s13414-019-01695-7 · Cited by 24
“…indicates weak support for the alternative hypothesis (note: Jeffreys (1998) interprets a BF 1–3 as anecdotal evidence for the alternative hypothesis; Dienes (2011) suggests this indicates experimental insensitivity), whereas a BF > 3 suggests strong evidence for the alternative and a BF > 10…”
Implicit Statistical Learning Across Modalities and Its Relationship With Reading in Childhood
Pavlidou, E. V., & Bogaerts, L. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01834 · Cited by 25
“Confidence intervals for all estimated correlations include 0 but are wide, hence we report also Bayes factors (BFs)6, which can help determine whether these non-significant results support the null hypothesis, or whether the data are rather just insensitive (Dienes, 2011).”
BackgroundProfessional Judges’ Disbelief in Free Will Does Not Decrease Punishment
Genschow, O., Hawickhorst, H., Rigoni, D., Aschermann, E., & Braß, M. (2020) · Social Psychological and Personality Science · doi:10.1177/1948550620915055 · Cited by 23
“Dienes, Z. (2011). Bayesian versus orthodox statistics: Which side”
BackgroundA Practical Guide to Registered Reports for Economists
Arpinon, T., & Espinosa, R. (2022) · Journal of the Economic Science Association · doi:10.1007/s40881-022-00123-1 · Cited by 25
Confidence in one’s social beliefs: Implications for belief justification
Koriat, A., & Adiv, S. (2012) · Consciousness and Cognition · doi:10.1016/j.concog.2012.08.008 · Cited by 23
“The idea that coherence can serve as a cue for correspondence underlies the oft-criticized interpretation of statistical level of confidence (Schervish, 1996; see Dienes, 2011).”
InfluentialEfficient Posterior Probability Mapping Using Savage-Dickey Ratios
Penny, W. D., & Ridgway, G. R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059655 · Cited by 23
“Bayesian model comparison, on the other hand, can find either the null or alternative hypothesis more probable [19,20].”
BackgroundDistinct electrophysiological potentials for intention in action and prior intention for action.
Vinding, M., Jensen, M., & Overgaard, M. (2014) · Cortex; a journal devoted to the study of the nervous system and behavior · doi:10.1016/j.cortex.2013.09.001 · Cited by 24
“It was assumed that smaller differences in slope were more likely than large differences in this kind of data, so the prior hypothesis tested a half-normal distribution with a mean of zero and standard deviation equal to the difference from the previous study (Dienes, 2011).”
MethodResultInfluentialSallard, E., Mouthon, M., Pretto, M. D., & Spierer, L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0194936 · Cited by 24
Sharman, R. J., Moncrieff, S. J., & Lovell, P. G. (2018) · Scientific Reports · doi:10.1038/s41598-018-25014-6 · Cited by 23
Nie, Q., Maurer, M., Müller, H. J., & Conci, M. (2016) · Cognition · doi:10.1016/j.cognition.2016.02.007 · Cited by 23
“The Bayes factor gives the ratio with which the alternative hypothesis is favored over the null hypothesis (i.e., larger BFs argue in favor of the alternative hypothesis; see Dienes, 2011, for an overview).”
Contrasting effects of changing rhythm and content on auditory distraction in immediate memory.
Parmentier, F. B. R., & Beaman, C. P. (2014) · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · doi:10.1037/cep0000036 · Cited by 23
Metadata
- Authors
- Dienes, Z.
- Affiliations
- University of Sussex (GB)
- Corresponding author
- Dienes, Zoltan
- ORCID
- Dienes, Zoltan
- Venue
- Perspectives on Psychological Science
- Publisher
- SAGE Publications
- Published
- 2011-05
- Volume
- 6
- Issue
- 3
- Pages
- 274-290
- ISSN
- 1745-6916 (ISSN-L)
- 1745-6924
- OpenAlex
- W2055754299
- Cited by
- 938
- References
- 60
- Citations by year
- 2026: 25 · 2025: 35 · 2024: 39 · 2023: 46 · 2022: 64 · 2021: 99 · 2020: 87 · 2019: 84 · 2018: 98 · 2017: 82 · 2016: 76 · 2015: 68 · 2014: 48 · 2013: 42 · 2012: 33
- FWCI
- 6.30
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Locations
- Perspectives on Psychological Science (publishedVersion)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Keywords
- Bayesian inference, significance testing, null hypothesis significance testing, multiple comparisons, stopping rules
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