The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
A tutorial on a practical Bayesian alternative to null-hypothesis significance testing
Open accessAbstract
Null-hypothesis significance testing remains the standard inferential tool in cognitive science despite its serious disadvantages. Primary among these is the fact that the resulting probability value does not tell the researcher what he or she usually wants to know: How probable is a hypothesis, given the obtained data? Inspired by developments presented by Wagenmakers (Psychonomic Bulletin & Review, 14, 779-804, 2007), I provide a tutorial on a Bayesian model selection approach that requires only a simple transformation of sum-of-squares values generated by the standard analysis of variance. This approach generates a graded level of evidence regarding which model (e.g., effect absent [null hypothesis] vs. effect present [alternative hypothesis]) is more strongly supported by the data. This method also obviates admonitions never to speak of accepting the null hypothesis. An Excel worksheet for computing the Bayesian analysis is provided as supplemental material.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“JZS Bayes factor ANOVAs with default prior scales [49–52] revealed support for the null hypothesis regarding main and interaction effects for all three cognitive outcomes.”
From Dual N-back working memory training in healthy adults: A randomized comparison to processing speed training. (2016) · cites this paper as [50]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,421
Bayesian model selection in social research
Raftery, A. E. (1995) · Sociological Methodology · doi:10.2307/271063 · Cited by 6,823
ANew Look at the Statistical Model Identification
AKAlKE, H. (2011) · Cited by 4,177
Cohen, J. (1994) · American Psychologist · doi:10.1037/0003-066x.49.12.997 · Cited by 4,003
Bayesian t tests for accepting and rejecting the null hypothesis
Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009) · Psychonomic Bulletin & Review · doi:10.3758/pbr.16.2.225 · Cited by 3,688
Cited by
Sorted by citations
Items 301–400 of 754
Seinstra, M. S., Wojtecki, L., Storzer, L., Schnitzler, A., & Kalenscher, T. (2016) · eNeuro · doi:10.1523/eneuro.0019-16.2016 · Cited by 19
Feature singletons attract spatial attention independently of feature priming
Yashar, A., White, A. L., Fang, W., & Carrasco, M. (2017) · Journal of Vision · doi:10.1167/17.9.7 · Cited by 18
Apolipoprotein ε4 is associated with better cognitive control allocation in healthy young adults
Zink, N., Bensmann, W., Arning, L., Beste, C., & Stock, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.046 · Cited by 18
Jafari, V., Maccapan, D., Careddu, G., Caputi, S. S., Calizza, E., Rossi, L., & Costantini, M. L. (2021) · Polar Biology · doi:10.1007/s00300-021-02925-1 · Cited by 16
Retrieval-induced forgetting of multiplication facts and identity rule
Campbell, J. I. D., Dufour, K. D., & Chen, Y. (2014) · Memory & Cognition · doi:10.3758/s13421-014-0483-1 · Cited by 16
Control processes in voluntary and explicitly cued task switching
Masson, M. E. J., & Carruthers, S. (2014) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2013.879390 · Cited by 18
Self-citationActivation of phonological competitors in visual search
Görges, F., Oppermann, F., Jescheniak, J. D., & Schriefers, H. J. (2013) · Acta Psychologica · doi:10.1016/j.actpsy.2013.03.006 · Cited by 16
McBride, S. D., Perentos, N., & Morton, A. J. (2014) · Animal Cognition · doi:10.1007/s10071-014-0807-3 · Cited by 16
Forrin, N. D., & MacLeod, C. M. (2016) · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · doi:10.1037/cep0000088 · Cited by 23
No flexibility in letter position coding in Korean.
Rastle, K., Lally, C., & Lee, C. H. (2019) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000617 · Cited by 16
Bensmann, W., Zink, N., Arning, L., Beste, C., & Stock, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116243 · Cited by 16
Santana, C. A. D. S., Wieczorek, A. M., Browne, P., Graham, C. T., & Power, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-60367-x · Cited by 16
Short-term Smartphone App–Based Focused Attention Meditation Diminishes Cognitive Flexibility
Wolff, N., & Beste, C. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01564 · Cited by 16
When retrieval practice promotes new learning – The critical role of study material
Kliegl, O., & Bäuml, K. T. (2021) · Journal of Memory and Language · doi:10.1016/j.jml.2021.104253 · Cited by 19
Evaluating input device usability as a function of task difficulty in a tracking task
Rupp, M. A., Oppold, P. J., & McConnell, D. S. (2015) · Ergonomics · doi:10.1080/00140139.2014.988755 · Cited by 16
Inter-trial priming does not affect attentional priority in asymmetric visual search
Amunts, L., Yashar, A., & Lamy, D. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00957 · Cited by 16
Different strategies, but indifferent strategy adaptation during action cascading
Mückschel, M., Stock, A., & Beste, C. (2015) · Scientific Reports · doi:10.1038/srep09992 · Cited by 18
Akan, M., & Sahakyan, L. (2017) · Memory · doi:10.1080/09658211.2017.1327600 · Cited by 16
Assessing the role of accuracy-based feedback in value-driven attentional capture
Grubb, M. A., & Li, Y. (2018) · Attention Perception & Psychophysics · doi:10.3758/s13414-018-1494-y · Cited by 17
On the functional role of striatal and anterior cingulate GABA + in stimulus‐response binding
Takács, Á., Stock, A., Kuntke, P., Werner, A., & Beste, C. (2021) · Human Brain Mapping · doi:10.1002/hbm.25335 · Cited by 16
Optimizing the scientific study of suicide with open and transparent research practices
Carpenter, T. P., & Law, K. C. (2021) · Suicide and Life-Threatening Behavior · doi:10.1111/sltb.12665 · Cited by 20
Mazeres, F., Brinkmann, K., & Richter, M. M. (2021) · Journal of Research in Personality · doi:10.1016/j.jrp.2021.104145 · Cited by 16
Hybrid brain model accurately predict human procrastination behavior
Chen, Z., Zhang, R., Xie, J., Liu, P., Zhang, C., Zhao, J. L., Laplante, J. P., & Feng, T. (2022) · Cognitive Neurodynamics · doi:10.1007/s11571-021-09765-z · Cited by 19
A Bayesian perspective on Biogen's aducanumab trial
Temp, A. G. M., Ly, A., van Doorn, J. B., Wagenmakers, E., Tang, Y., Lutz, M. W., & Teipel, S. J. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12615 · Cited by 14
Maxwell, N. P., & Huff, M. J. (2023) · Metacognition and Learning · doi:10.1007/s11409-023-09369-4 · Cited by 17
Dynamic evocation of hand action representations during sentence comprehension.
Masson, M. E. J., Bub, D. N., & Lavelle, H. (2012) · Journal of Experimental Psychology General · doi:10.1037/a0030161 · Cited by 15
Self-citationIntact Context-Dependent Modulation of Conflict Monitoring in Childhood ADHD
Bluschke, A., Chmielewski, W. X., Roessner, V., & Beste, C. (2016) · Journal of Attention Disorders · doi:10.1177/1087054716643388 · Cited by 15
Regressions during reading: The cost depends on the cause
Eskenazi, M. A., & Folk, J. R. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1200-9 · Cited by 15
Investigating the formation and consolidation of incidentally learned trust.
Strachan, J. W. A., Guttesen, A. Á. V., Smith, A. K., Gaskell, M. G., Tipper, S. P., & Cairney, S. A. (2019) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/xlm0000752 · Cited by 15
The Neural Mechanism of Number Line Bisection: A fMRI study
Liu, D., Zhou, D., Li, M., Li, M., Dong, W., Verguts, T., & Chen, Q. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.03.007 · Cited by 14
Bensmann, W., Zink, N., Mückschel, M., Beste, C., & Stock, A. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01866-0 · Cited by 15
Processing differences across regular and irregular inflections revealed through ERPs.
Rastle, K., Lavric, A., Elchlepp, H., & Crepaldi, D. (2015) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0039150 · Cited by 15
Priming and the guidance by visual and categorical templates in visual search
Wilschut, A., Theeuwes, J., & Olivers, C. N. L. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00148 · Cited by 15
The bizarreness effect: evidence for the critical influence of retrieval processes
Geraci, L. D., McDaniel, M. A., Miller, T. M., & Hughes, M. L. (2013) · Memory & Cognition · doi:10.3758/s13421-013-0335-4 · Cited by 18
Spelling–stress regularity effects are intact in developmental dyslexia
Mundy, I. R., & Carroll, J. M. (2012) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2012.719530 · Cited by 15
Zhang, Q., & Wang, C. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00417 · Cited by 15
A Bayesian approach to the mixed-effects analysis of accuracy data in repeated-measures designs
Song, Y., Nathoo, F. S., & Masson, M. E. J. (2017) · Journal of Memory and Language · doi:10.1016/j.jml.2017.05.002 · Cited by 15
Self-citationDirected forgetting for categorised pictures: recognition memory for perceptual details versus gist
Ahmad, F. N., Tan, P., & Hockley, W. E. (2019) · Memory · doi:10.1080/09658211.2019.1591456 · Cited by 19
Rampone, G., & Makin, A. D. J. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14709 · Cited by 15
Dissociating Two Forms of Auditory Distraction in a Novel Stroop Serial Recall Experiment
Hughes, R. W., & Marsh, J. E. (2019) · Auditory Perception & Cognition · doi:10.1080/25742442.2020.1760757 · Cited by 15
Bayes factor testing of equality and order constraints on measures of association in social research
Mulder, J., & Gelissen, J. (2021) · Journal of Applied Statistics · doi:10.1080/02664763.2021.1992360 · Cited by 14
Intelligent Tutoring for Surgical Decision Making: a Planning-Based Approach
Vannaprathip, N., Haddawy, P., Schultheis, H., & Suebnukarn, S. (2021) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-021-00261-3 · Cited by 18
Eggert, E., Prochnow, A., Roessner, V., Frings, C., Münchau, A. M., Mückschel, M., & Beste, C. (2022) · Communications Biology · doi:10.1038/s42003-022-03864-1 · Cited by 18
de Vreugd, L., Jansen, R. S., van Leeuwen, A., & van der Schaaf, M. F. (2023) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2023.101303 · Cited by 14
Abel, M., & Bäuml, K. T. (2019) · Journal of Memory and Language · doi:10.1016/j.jml.2019.02.002 · Cited by 15
Alcohol Hangover Slightly Impairs Response Selection but not Response Inhibition
Opitz, A., Hubert, J., Beste, C., & Stock, A. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8091317 · Cited by 14
An Analysis of Nonsignificant Results in Audiology Using Bayes Factors
Brydges, C. R., & Gaeta, L. (2019) · Journal of Speech Language and Hearing Research · doi:10.1044/2019_jslhr-h-19-0182 · Cited by 14
Altered visuomotor integration in complex regional pain syndrome
Bultitude, J. H., & Petrini, K. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112922 · Cited by 15
The Impact of Parenting Style on Attitudes toward Masturbation: A Latent Profile Analysis
Klukas, E., Draper, E., Kaseweter, K., Gregoire, N., & Cioe, J. (2021) · The Journal of Genetic Psychology · doi:10.1080/00221325.2021.1948386 · Cited by 12
Khlamov, S. V., Savanevych, V., Tabakova, I., & Trunova, T. (2022) · International Conference on Systems, Signals and Image Processing · doi:10.1109/iwssip55020.2022.9854475 · Cited by 22
Does (Non‐)Meaningful Sensori‐Motor Engagement Promote Learning With Animated Physical Systems?
Pouw, W. T. J. L., Eielts, C., van Gog, T., Zwaan, R. A., & PAAS, F. G. W. C. (2016) · Mind Brain and Education · doi:10.1111/mbe.12105 · Cited by 14
Distinguishing familiarity from fluency for the compound word pair effect in associative recognition
Ahmad, F. N., & Hockley, W. E. (2016) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2016.1205110 · Cited by 14
Sommer, J. B., Bach, A., Rytter, H. M., Strømgaard, K., Mogensen, J., & Pickering, D. S. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13483 · Cited by 16
The resilience of verbal sequence learning: Evidence from the Hebb repetition effect.
St-Louis, M.-È., Hughes, R. W., Saint‐Aubin, J., & Tremblay, S. (2018) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/xlm0000566 · Cited by 19
The Fragility of the Near-Hand Effect
Dosso, J. A., & Kingstone, A. F. (2018) · Collabra Psychology · doi:10.1525/collabra.167 · Cited by 16
Estimating Evidential Value From Analysis of Variance Summaries: A Comment on Ly et al. (2018)
Faulkenberry, T. J. (2019) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245919872960 · Cited by 14
Is it harder to switch among a larger set of tasks?
Wout, F. V. ‘., Lavric, A., & Monsell, S. (2014) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0038268 · Cited by 14
Taylor, T. L., & Hamm, J. P. (2015) · Attention Perception & Psychophysics · doi:10.3758/s13414-015-0984-4 · Cited by 13
Bluschke, A., Gohil, K., Petzold, M., Roessner, V., & Beste, C. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.02.024 · Cited by 15
Somatosensory perception–action binding in Tourette syndrome
Friedrich, J., Spaleck, H., Schappert, R., Kleimaker, M., Verrel, J., Bäumer, T., Beste, C., & Münchau, A. M. (2021) · Scientific Reports · doi:10.1038/s41598-021-92761-4 · Cited by 13
Good-Enough Language Processing: Evidence from Sentence-Video Matching
Kharkwal, G., & Stromswold, K. (2013) · Journal of Psycholinguistic Research · doi:10.1007/s10936-013-9239-5 · Cited by 13
Domain-Specific Control of Selective Attention
Lin, S.-H., & Yeh, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098260 · Cited by 13
Does Taking a Walk in Nature Enhance Long-Term Memory?
Rider, N. D., & Bodner, G. E. (2016) · Ecopsychology · doi:10.1089/eco.2015.0042 · Cited by 14
A hard-to-read font reduces the framing effect in a large sample
Korn, C. W., Ries, J., Schalk, L., Oganian, Y., & Saalbach, H. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1395-4 · Cited by 13
Hornung, J., Noack, H., Thomas, M., Farger, G., Nieratschker, V., Freiherr, J., & Derntl, B. (2017) · Hormones and Behavior · doi:10.1016/j.yhbeh.2017.12.003 · Cited by 14
Direct evidence for linguistic influences in two-digit number processing.
Bahnmueller, J., Maier, C. A., Göbel, S. M., & Moeller, K. (2018) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/xlm0000642 · Cited by 13
Zink, N., Bensmann, W., Arning, L., Colzato, L. S., Stock, A., & Beste, C. (2019) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyz024 · Cited by 12
Wait for it…performance anticipation reduces recognition memory
Forrin, N. D., Ralph, B. C. W., Dhaliwal, N. K., Smilek, D., & MacLeod, C. M. (2019) · Journal of Memory and Language · doi:10.1016/j.jml.2019.104050 · Cited by 17
Fast fronto-parietal cortical dynamics of conflict detection and context updating in a flanker task
Brydges, C. R., Barceló, F., Nguyen, A. T., & Fox, A. M. (2020) · Cognitive Neurodynamics · doi:10.1007/s11571-020-09628-z · Cited by 14
3D surface configuration modulates 2D symmetry detection
Chen, C., & Sio, L.-T. (2014) · Vision Research · doi:10.1016/j.visres.2014.12.007 · Cited by 13
Multiple object individuation during numerical S troop
Pagano, S., & Mazza, V. (2013) · Psychophysiology · doi:10.1111/psyp.12014 · Cited by 13
The optimist within? Selective sampling and self-deception
van der Leer, L., & McKay, R. (2016) · Consciousness and Cognition · doi:10.1016/j.concog.2016.07.005 · Cited by 13
Effect of skill proficiency on motor imagery ability between amateur dancers and non-dancers
Mao, X., Huang, S., Ouyang, M., Xie, Y., & Tan, X. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.899724 · Cited by 12
You can count on your fingers: Finger-based intervention improves first-graders’ arithmetic learning
Frey, M., Gashaj, V., Nuerk, H., & Moeller, K. (2024) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2024.105934 · Cited by 15
Petruo, V. A., Mückschel, M., & Beste, C. (2019) · Cortex · doi:10.1016/j.cortex.2019.03.017 · Cited by 12
Attention Combines Similarly in Covert and Overt Conditions
Blair, C. D., & Ristic, J. (2019) · Vision · doi:10.3390/vision3020016 · Cited by 12
Speakers extrapolate community-level knowledge from individual linguistic encounters
Tobar-Henríquez, A., Rabagliati, H., & Branigan, H. P. (2021) · Cognition · doi:10.1016/j.cognition.2021.104602 · Cited by 12
Kwarteng, A. E., Rahman, M., Gee, D. G., Infante, M. A., Tapert, S. F., & Curtis, B. L. (2021) · Addictive Behaviors · doi:10.1016/j.addbeh.2021.107034 · Cited by 12
Koyun, A. H., Stock, A., & Beste, C. (2023) · Scientific Reports · doi:10.1038/s41598-023-37524-z · Cited by 13
Whorfian effects on colour memory are not reliable
Wright, O., DAVIES, I. R. L., & Franklin, A. (2014) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2014.966123 · Cited by 12
Szpitalak, M., Polak, M., Polczyk, R., & Dukała, K. (2015) · European Journal of Social Psychology · doi:10.1002/ejsp.2136 · Cited by 12
A role of goals for social inhibition of return?
Janczyk, M., Welsh, T. N., & Dolk, T. (2015) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2015.1112417 · Cited by 12
Gönen, M., Johnson, W. O., Lu, Y., & Westfall, P. H. (2017) · The American Statistician · doi:10.1080/00031305.2017.1322142 · Cited by 12
Lachmair, M., Creß, U., Fissler, T., Kurek, S., Leininger, J., & Nuerk, H. (2017) · Psychological Research · doi:10.1007/s00426-017-0898-y · Cited by 12
Solopchuk, O., Alamia, A., Dricot, L., Duqué, J., & Zénon, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.013 · Cited by 12
Torta, D. M. E., Filbrich, L., van den Broeke, E. N., & Legrain, V. (2018) · Scientific Reports · doi:10.1038/s41598-018-23135-6 · Cited by 12
Heubner, L., Cipora, K., Soltanlou, M., Schlenker, M.-L., Lipowska, K., Göbel, S. M., Domahs, F., Haman, M., & Nuerk, H. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01081 · Cited by 12
Janczyk, M., Xiong, A., & Proctor, R. W. (2019) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720819831814 · Cited by 12
Makin, A. D. J., Rampone, G., & Bertamini, M. (2019) · European Journal of Neuroscience · doi:10.1111/ejn.14579 · Cited by 12
Tunç, S., Baginski, N., Lubs, J., Bally, J. F., Weißbach, A., Baaske, M. K., Tadić, V., Brüggemann, N., Bäumer, T., Beste, C., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102043 · Cited by 13
Huff, M. J., Bodner, G. E., & Gretz, M. R. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.602347 · Cited by 12
Maxwell, N. P., Perry, T., & Huff, M. J. (2021) · Metacognition and Learning · doi:10.1007/s11409-021-09284-6 · Cited by 12
Smith, E., & Jarrold, C. (2014) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2014.07.002 · Cited by 12
Survival Processing in a Novel Choice Procedure
Coverdale, M. E., Pandeirada, J. N. S., & Nairne, J. S. (2019) · The American Journal of Psychology · doi:10.5406/amerjpsyc.132.2.0195 · Cited by 12
Wang, X., Xuan, Y., & Jarrold, C. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00208 · Cited by 12
Eggert, E., Ghin, F., Stock, A., Mückschel, M., & Beste, C. (2023) · Cerebral Cortex Communications · doi:10.1093/texcom/tgac050 · Cited by 15
Głomb, K., Piotrowski, P., & Romanowska, I. (2023) · Behavior Research Methods · doi:10.3758/s13428-023-02186-2 · Cited by 11
Smith, R. D., Dang, W., Shen, S., Hung, S. C., Ip, H. L., Kwok, J. Y. Y., Choi, E. P. H., Fong, D., Ali, S., Wilson, C. A., et al. (2024) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2024.104316 · Cited by 13
Altered social attention in anorexia nervosa during real social interaction
Dalmaso, M., Castelli, L., Scatturin, P., Carli, L., Todisco, P., Palomba, D., & Galfano, G. (2016) · Scientific Reports · doi:10.1038/srep23311 · Cited by 11
Dialectical mind can be sweet toward crisis‐associated products/brands
Bing, S., Wang, H., & Liu, W. (2017) · Psychology and Marketing · doi:10.1002/mar.21068 · Cited by 11
Metadata
- Authors
- Masson, M. E. J.
- Affiliations
- University of Victoria (CA)
- Corresponding author
- Masson, Michael E. J.
- Venue
- Behavior Research Methods
- Published
- 2011-02-08
- Volume
- 43
- Issue
- 3
- Pages
- 679-690
- ISSN
- 1554-351X (ISSN-L)
- 1554-3528
- OpenAlex
- W2151069696
- Cited by
- 752
- References
- 44
- Citations by year
- 2026: 7 · 2025: 21 · 2024: 29 · 2023: 54 · 2022: 39 · 2021: 62 · 2020: 61 · 2019: 87 · 2018: 84 · 2017: 63 · 2016: 66 · 2015: 55 · 2014: 53 · 2013: 45 · 2012: 22
- FWCI
- 34.66
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Behavior Research Methods (publishedVersion)
- PubMed (publishedVersion)
- 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 › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
- Keywords
- Bayesian model selection, null hypothesis significance testing, Bayes factor, analysis of variance, sums of squares, evidence rating, null hypothesis, effect size
- MeSH terms
- Bayes Theorem, Data Interpretation, Statistical, Probability, Research Design, Models, Statistical
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 ›
Are you an author, or do you see a problem with this page? Request a review