2019

• Rouder, J. N. and Morey, R. D. 2019. Teaching Bayes' Theorem: strength of evidence as predictive accuracy. The American Statistician 73(2), pp. 186-190. (10.1080/00031305.2017.1341334)
• van Dongen, N. N. N.et al. 2019. Multiple perspectives on inference for two simple statistical scenarios. American Statistician 73(s1), pp. 328-339. (10.1080/00031305.2019.1565553)

2018

• Morey, R., Homer, S. and Proulx, T. 2018. Beyond statistics: accepting the null hypothesis in mature sciences. Advances in Methods and Practices in Psychological Science 1(2), pp. 245-258. (10.1177/2515245918776023)
• Roest, A. M.et al. 2018. The comparative evidence basis for the efficacy of second-generation antidepressants in the treatment of depression in the US: A Bayesian Meta-analysis of Food and Drug Administration Reviews. Journal of Affective Disorders 235, pp. 393-398. (10.1016/j.jad.2018.04.040)

2017

• Sense, F.et al. 2017. Opportunity for verbalization does not improve visual change detection performance: a state-trace analysis. Behavior Research Methods 49(3), pp. 853-862. (10.3758/s13428-016-0741-1)
• Jamil, T.et al. 2017. Default "Gunel and Dickey" Bayes factors for contingency tables. Behavior Research Methods 49(2), pp. 638-652. (10.3758/s13428-016-0739-8)
• Marsman, M.et al. 2017. A Bayesian bird's eye view of "replications of important results in social psychology". Royal Society Open Science 4(1), article number: 160426. (10.1098/rsos.160426)

2016

• Rouder, J. N.et al. 2016. Model comparison in ANOVA. Psychonomic Bulletin & Review 23(6), pp. 1779-1786. (10.3758/s13423-016-1026-5)
• Rouder, J. N.et al. 2016. Is There a Free Lunch in Inference?. Topics in Cognitive Science 8(3), pp. 520-547. (10.1111/tops.12214)
• Morey, R. D., Romeijn, J. and Rouder, J. N. 2016. The philosophy of Bayes factors and the quantification of statistical evidence. Journal of Mathematical Psychology 72, pp. 6-18. (10.1016/j.jmp.2015.11.001)
• Wagenmakers, E., Morey, R. D. and Lee, M. D. 2016. Bayesian benefits for the pragmatic researcher. Current Directions In Psychological Science 25(3), pp. 169-176. (10.1177/0963721416643289)
• Davis-Stober, C. P.et al. 2016. Bayes factors for state-trace analysis. Journal of Mathematical Psychology 72, pp. 116-129. (10.1016/j.jmp.2015.08.004)
• Morey, R. D.et al. 2016. The fallacy of placing confidence in confidence intervals. Psychonomic Bulletin & Review 23(1), pp. 103-123. (10.3758/s13423-015-0947-8)
• Morey, R. D.et al. 2016. Continued misinterpretation of confidence intervals: response to Miller and Ulrich. Psychonomic Bulletin & Review 23(1), pp. 131-140. (10.3758/s13423-015-0955-8)
• Morey, R. D.et al. 2016. The Peer Reviewers' Openness Initiative: incentivizing open research practices through peer review. Royal Society Open Science 3(1), article number: 150547. (10.1098/rsos.150547)
• Morey, R. D., Wagenmakers, E. and Rouder, J. N. 2016. Calibrated Bayes factors should not be used: a reply to Hoijtink, van Kooten, and Hulsker. Multivariate Behavioral Research 51(1), pp. 11-19. (10.1080/00273171.2015.1052710)

2015

• Morey, C.et al. 2015. The color-sharing bonus: roles of perceptual organization and attentive processes in visual working memory. Archives of Scientific Psychology 3(1), pp. 18-29. (10.1037/arc0000014)

2014

• Hoekstra, R.et al. 2014. Robust misinterpretation of confidence intervals. Psychonomic Bulletin & Review 21(5), pp. 1157-1164. (10.3758/s13423-013-0572-3)
• Morey, R. D. and Wagenmakers, E. 2014. Simple relation between Bayesian order-restricted and point-null hypothesis tests. Statistics & Probability Letters 92, pp. 121-124. (10.1016/j.spl.2014.05.010)
• Morey, R. D.et al. 2014. Why hypothesis tests are essential for psychological science: a comment on Cumming (2014). Psychological Science 25(6), pp. 1289-1290. (10.1177/0956797614525969)
• Elliott, E. M.et al. 2014. The role of modality: auditory and visual distractors in Stroop interference. Journal of Cognitive Psychology 26(1), pp. 15-26. (10.1080/20445911.2013.859133)

2013

• Morey, C. C.et al. 2013. Asymmetric cross-domain interference between two working memory tasks: implications for models of working memory. Journal of Memory and Language 69(3), pp. 324-348. (10.1016/j.jml.2013.04.004)
• Morey, R. D. 2013. The consistency test does not - and cannot - deliver what is advertised: a comment on Francis (2013). Journal of Mathematical Psychology 57(5), pp. 180-183. (10.1016/j.jmp.2013.03.004)
• de Vries, R. M. and Morey, R. D. 2013. Bayesian hypothesis testing for single-subject designs. Psychological Methods 18(2), pp. 165-185. (10.1037/a0031037)
• Morey, R. D., Romeijn, J. and Rouder, J. N. 2013. The humble Bayesian: Model checking from a fully Bayesian perspective. British Journal of Mathematical and Statistical Psychology 66(1), pp. 68-75. (10.1111/j.2044-8317.2012.02067.x)
• Rouder, J. N., Morey, R. D. and Province, J. M. 2013. A Bayes factor meta-analysis of recent extrasensory perception experiments: comment on Storm, Tressoldi, and Di Risio (2010). Psychological Bulletin 139(1), pp. 241-247. (10.1037/a0029008)

2012

• Rouder, J. N.et al. 2012. Default Bayes factors for ANOVA designs. Journal of Mathematical Psychology 56(5), pp. 356-374. (10.1016/j.jmp.2012.08.001)
• Morey, R. D.et al. 2012. A critical evaluation of c as a measure of mnemonic resolution. Journal of Experimental Psychology: Human Perception and Performance 38(4), pp. 1069-1072. (10.1037/a0027335)
• Rouder, J. N. and Morey, R. D. 2012. Default Bayes factors for model selection in regression. Multivariate Behavioral Research 47(6), pp. 877-903. (10.1080/00273171.2012.734737)

2011

• Morey, R. D. and Morey, C. C. 2011. WoMMBAT: a user interface for hierarchical Bayesian estimation of working memory capacity. Behavior Research Methods 43(4), pp. 1044-1065. (10.3758/s13428-011-0114-8)
• Morey, R. D. and Rouder, J. N. 2011. Bayes factor approaches for testing interval null hypotheses. Psychological Methods 16(4), pp. 406-419. (10.1037/a0024377)
• Morey, R. D.et al. 2011. Using MCMC chain outputs to efficiently estimate Bayes factors. Journal of Mathematical Psychology 55(5), pp. 368-378. (10.1016/j.jmp.2011.06.004)
• Rouder, J. N. and Morey, R. D. 2011. A Bayes factor meta-analysis of Bem's ESP claim. Psychonomic Bulletin and Review 18(4), pp. 682-689. (10.3758/s13423-011-0088-7)
• Rouder, J. N.et al. 2011. How to measure working memory capacity in the change detection paradigm. Psychonomic Bulletin and Review 18(2), pp. 324-330. (10.3758/s13423-011-0055-3.)
• Morey, C. C.et al. 2011. Flexible attention allocation to visual and auditory working memory tasks: manipulating reward induces a trade-off. Attention Perception & Psychophysics 73(2), pp. 458-472. (10.3758/s13414-010-0031-4)
• Morey, R. D. 2011. A Bayesian hierarchical model for the measurement of working memory capacity. Journal of Mathematical Psychology 55(1), pp. 8-24. (10.1016/j.jmp.2010.08.008)

2010

• Pratte, M. S.et al. 2010. Exploring the differences in distributional properties between Stroop and Simon effects using delta plots. Attention, Perception, & Psychophysics 72(7), pp. 2013-2025. (10.3758/APP.72.7.2013)
• Rouder, J. N., Pratte, M. S. and Morey, R. D. 2010. Latent mnemonic strengths are latent: a comment on Mickes, Wixted, and Wais (2007). Psychonomic Bulletin & Review 17(3), pp. 427-435. (10.3758/PBR.17.3.427)
• Pratte, M. S., Rouder, J. N. and Morey, R. D. 2010. Separating mnemonic process from participant and item effects in the assessment of ROC asymmetries. Journal of Experimental Psychology: Learning, Memory, and Cognition 36(1), pp. 224-232. (10.1037/a0017682)

2009

• Morey, R. D., Rouder, J. N. and Speckman, P. L. 2009. A truncated-probit item response model for estimating psychophysical thresholds. Psychometrika 74(4), pp. 603-618. (10.1007/s11336-009-9122-3)
• Rouder, J. N. and Morey, R. D. 2009. The nature of psychological thresholds. Psychological Review 116(3), pp. 655-660. (10.1037/a0016413)
• Rouder, J. N.et al. 2009. Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin and Review 16(2), pp. 225-237. (10.3758/PBR.16.2.225)

2008

• Morey, R. D., Pratte, M. S. and Rouder, J. N. 2008. Problematic effects of aggregation in zROC analysis and a hierarchical modeling solution. Journal of Mathematical Psychology 52(6), pp. 376-388.
• Speckman, P. L.et al. 2008. Delta plots and coherent distribution ordering. American Statistician 62(3), pp. 262-266. (10.1198/000313008X333493)
• Rouder, J. N.et al. 2008. A hierarchical process-dissociation model. Journal of Experimental Psychology: General 137(2), pp. 370-389. (10.1037/0096-3445.137.2.370)
• Rouder, J. N.et al. 2008. An assessment of fixed-capacity models of visual working memory. Proceedings of the National Academy of Sciences of the United States of America 105(16), pp. 5975-5979. (10.1073/pnas.0711295105)
• Morey, R. D., Rouder, J. N. and Speckman, P. L. 2008. A statistical model for discriminating between subliminal and near-liminal performance. Journal of Mathematical Psychology 52(1), pp. 21-36. (10.1016/j.jmp.2007.09.007)

2007

• Rouder, J. N.et al. 2007. Signal detection models with random participant and item effects. Psychometrika 72(4), pp. 621-642. (10.1007/s11336-005-1350-6)
• Rouder, J. N.et al. 2007. Detecting chance: a solution to the null sensitivity problem in subliminal priming. Psychonomic Bulletin and Review 14(4), pp. 597-605.

2005

• Rouder, J. N. and Morey, R. D. 2005. Relational and arelational confidence intervals - a comment on Fidler, Thomasow, Cumming, Finch, and Leeman (2004). Psychological Science 16(1), pp. 77-79.

2004

• Rouder, J. N.et al. 2004. Learning in a unidimensional absolute identification task. Psychonomic Bulletin and Review 11(5), pp. 938-944. (10.3758/BF03196725)