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Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) · doi:10.1201/b16018 · Cited by 27,276 · see citing works
(2005) · Springer eBooks · doi:10.1007/0-387-27255-0_9 · Cited by 20,333 · see citing works
Numerical recipes in C: the art of scientific computing
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5638 · Cited by 17,933 · see citing works
(1963) · Medical Entomology and Zoology · Cited by 15,085 · see citing works
Numerical recipes in Pascal: the art of scientific computing
(1990) · Choice Reviews Online · doi:10.5860/choice.27-5158 · Cited by 12,040 · see citing works
Continuous Univariate Distributions.
Omori, Y., Johnson, N. L., Kotz, S., & Balakrishnan, N. (1995) · Journal of the American Statistical Association · doi:10.2307/2291547 · Cited by 9,085 · see citing works
Jeffreys, H., Moran, P. A. P., & Chatfield, C. (1922) · Nature · doi:10.1038/109132a0 · Cited by 7,837 · see citing works
Bayesian model selection in social research
Raftery, A. E. (1995) · Sociological Methodology · doi:10.2307/271063 · Cited by 6,823 · see citing works
Sampling-based approaches to calculating marginal densities
Gelfand, A. E., & Smith, A. F. M. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10476213 · Cited by 6,606 · see citing works
Applied Linear Regression Models
(1997) · Technometrics · doi:10.1080/00401706.1997.10485142 · Cited by 4,638 · see citing works
Ratcliff, R. (1978) · Psychological Review · doi:10.1037/0033-295x.85.2.59 · Cited by 4,513 · see citing works
The earth is round (p < .05).
Cohen, J. (1994) · American Psychologist · doi:10.1037/0003-066x.49.12.997 · Cited by 4,003 · see citing works
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 · see citing works
Self-citationToward an instance theory of automatization.
Logan, G. D. (1988) · Psychological Review · doi:10.1037/0033-295x.95.4.492 · Cited by 3,466 · see citing works
The discovery of processing stages: Extensions of Donders' method
Sternberg, S. (1969) · Acta Psychologica · doi:10.1016/0001-6918(69)90055-9 · Cited by 3,137 · see citing works
The gender similarities hypothesis.
Hyde, J. S. (2005) · American Psychologist · doi:10.1037/0003-066x.60.6.581 · Cited by 3,084 · see citing works
Cognitive Skills and Their Acquisition
Anderson, J. R. (2013) · Psychology Press eBooks · doi:10.4324/9780203728178 · Cited by 2,926 · see citing works
Statistical methods in psychology journals: Guidelines and explanations.
Wilkinson, L., & Task Force on Statistical Inference (1999) · American Psychologist · doi:10.1037/0003-066x.54.8.594 · Cited by 2,791 · see citing works
Luce, R. (1959) · Econometrica · doi:10.2307/1911299 · Cited by 2,603 · see citing works
Bayesian Data Analysis, 2nd edn
Brix, A. (2005) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2004.00347_4.x · Cited by 2,588 · see citing works
A practical solution to the pervasive problems ofp values
Wagenmakers, E.-J. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194105 · Cited by 2,490 · see citing works
Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons
Bradley, R. A., & Terry, M. E. (1952) · Biometrika · doi:10.2307/2334029 · Cited by 2,412 · see citing works
The language-as-fixed-effect fallacy: A critique of language statistics in psychological research
Clark, H. H. (1973) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(73)80014-3 · Cited by 2,226 · see citing works
Marginal Likelihood from the Gibbs Output
Chib, S. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476635 · Cited by 1,815 · see citing works
Franklin, J. (1968) · Cited by 1,797 · see citing works
Bayesian statistical inference for psychological research.
Edwards, W., Lindman, H., & Savage, L. J. (1963) · Psychological Review · doi:10.1037/h0044139 · Cited by 1,734 · see citing works
The Hot Hand in Basketball: On the Misperception of Random Sequences
Gilovich, T., Vallone, R., & Tversky, A. (1985) · Cognitive Psychology · doi:10.1016/0010-0285(85)90010-6 · Cited by 1,649 · see citing works
Generalized linear models. 2nd ed.
McCullagh, P., & Nelder, J. (1993) · Journal of the American Statistical Association · doi:10.2307/2290358 · Cited by 1,581 · see citing works
RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS: THE METHOD OF PAIRED COMPARISONS
BRADLEY, R. A., & TERRY, M. E. (1952) · Biometrika · doi:10.1093/biomet/39.3-4.324 · Cited by 1,434 · see citing works
Mechanisms of skill acquisition and the law of practice
Newell, A., & Rosenbloom, P. S. (2018) · Figshare · doi:10.1184/r1/6607199.v1 · Cited by 1,365 · see citing works
Mixtures of g Priors for Bayesian Variable Selection
Liang, F., Paulo, R., Molina, G., Clyde, M. A., & Berger, J. (2008) · Journal of the American Statistical Association · doi:10.1198/016214507000001337 · Cited by 1,308 · see citing works
Elements of psychophysics, 1860.
Fechner, G. T. (1948) · Readings in the history of psychology. · doi:10.1037/11304-026 · Cited by 1,307 · see citing works
Probability, Frequency and Reasonable Expectation
Cox, R. T. (1946) · American Journal of Physics · doi:10.1119/1.1990764 · Cited by 1,290 · see citing works
Affect, cognition, and awareness: Affective priming with optimal and suboptimal stimulus exposures.
Murphy, S. T., & Zajonc, R. B. (1993) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.64.5.723 · Cited by 1,169 · see citing works
Numerical recipes in C (2nd ed.): the art of scientific computing
Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1992) · Cambridge University Press eBooks · Cited by 1,156 · see citing works
Bayesian Model Choice Via Markov Chain Monte Carlo Methods
Carlin, B., & Chib, S. (1995) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1995.tb02042.x · Cited by 1,137 · see citing works
Nedelman, J. R. (2005) · Computational Statistics · doi:10.1007/bf02741321 · Cited by 1,087 · see citing works
Imaging unconscious semantic priming
Dehaene, S., Naccache, L., Le Clec'H, G., Koechlin, E., Mueller, M., Dehaene-Lambertz, G., van de Moortele, P.-F., & Le Bihan, D. (1998) · Nature · doi:10.1038/26967 · Cited by 1,081 · see citing works
Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence
Berger, J. O., & Sellke, T. (1987) · Journal of the American Statistical Association · doi:10.1080/01621459.1987.10478397 · Cited by 971 · see citing works
Lachenbruch, P. A., McCullagh, P., & Nelder, J. A. (1990) · Biometrics · doi:10.2307/2532465 · Cited by 947 · see citing works
Lindley, D. V. (1957) · Biometrika · doi:10.1093/biomet/44.1-2.187 · Cited by 946 · see citing works
Statistical Evidence in Experimental Psychology: An Empirical Comparison Using 855 <i>t</i> Tests
Wetzels, R., Matzke, D., Lee, M. D., Rouder, J. N., Iverson, G. J., & Wagenmakers, E.-J. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691611406923 · Cited by 945 · see citing works
Self-citationMultivariate T-Distributions and Their Applications
Kotz, S., & Nadarajah, S. (2004) · Cambridge University Press eBooks · doi:10.1017/cbo9780511550683 · Cited by 926 · see citing works
Bem, D. J. (2011) · Journal of Personality and Social Psychology · doi:10.1037/a0021524 · Cited by 893 · see citing works
Analysis of variance—why it is more important than ever
Gelman, A. (2005) · The Annals of Statistics · doi:10.1214/009053604000001048 · Cited by 861 · see citing works
Calibration of ρ Values for Testing Precise Null Hypotheses
Sellke, T., Bayarri, M. J., & Berger, J. O. (2001) · The American Statistician · doi:10.1198/000313001300339950 · Cited by 856 · see citing works
Philosophy and the practice of Bayesian statistics
Gelman, A., & Shalizi, C. R. (2013) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/j.2044-8317.2011.02037.x · Cited by 825 · see citing works
Statistical Evidence: A Likelihood Paradigm
Reeves, J. H., & Royall, R. M. (1998) · Journal of the American Statistical Association · doi:10.2307/2669869 · Cited by 821 · see citing works
Bayesian hypothesis testing for psychologists: A tutorial on the Savage–Dickey method
Wagenmakers, E.-J., Lodewyckx, T., Kuriyal, H., & Grasman, R. (2010) · Cognitive Psychology · doi:10.1016/j.cogpsych.2009.12.001 · Cited by 740 · see citing works
The power law repealed: The case for an exponential law of practice
Heathcote, A., Brown, S. D., & Mewhort, D. J. K. (2000) · Psychonomic Bulletin & Review · doi:10.3758/bf03212979 · Cited by 735 · see citing works
RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS
BRADLEY, R. A. (1954) · Biometrika · doi:10.1093/biomet/41.3-4.502 · Cited by 726 · see citing works
Philosophy and the practice of Bayesian statistics
Gelman, A., & Shalizi, C. R. (2010) · Cited by 709 · see citing works
The problem of inference from curves based on group data.
Estes, W. K. (1956) · Psychological Bulletin · doi:10.1037/h0045156 · Cited by 677 · see citing works
SIMULATING RATIOS OF NORMALIZING CONSTANTS VIA A SIMPLE IDENTITY: A THEORETICAL EXPLORATION
Meng, X., & Wong, W. H. (1996) · Cited by 640 · see citing works
Statistical Evidence: A Likelihood Paradigm
Vieland, V. J., & Hodge, S. E. (1998) · The American Journal of Human Genetics · doi:10.1086/499065 · Cited by 615 · see citing works
Logic of Statistical Inference.
Dempster, A. P., & Hacking, I. (1966) · Journal of the American Statistical Association · doi:10.2307/2283215 · Cited by 612 · see citing works
Bayes factor approaches for testing interval null hypotheses.
Morey, R. D., & Rouder, J. N. (2011) · Psychological Methods · doi:10.1037/a0024377 · Cited by 584 · see citing works
Self-citationTesting a Point Null Hypothesis: The Irreconcilability of P Values and Evidence
Berger, J. O., & Sellke, T. (1987) · Journal of the American Statistical Association · doi:10.2307/2289131 · Cited by 548 · see citing works
Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio
Verdinelli, I., & Wasserman, L. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476554 · Cited by 498 · see citing works
Bayesian Assessment of Null Values Via Parameter Estimation and Model Comparison
Kruschke, J. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691611406925 · Cited by 498 · see citing works
Posterior odds ratios for selected regression hypotheses
Zellner, A., & Siow, A. (1980) · Trabajos de Estadistica y de Investigacion Operativa · doi:10.1007/bf02888369 · Cited by 490 · see citing works
Default Bayes Factors for Model Selection in Regression
Rouder, J. N., & Morey, R. D. (2012) · Multivariate Behavioral Research · doi:10.1080/00273171.2012.734737 · Cited by 477 · see citing works
Self-citationStatistical Analysis and the Illusion of Objectivity
Berger, J., & Berry, D. (1988) · Infectious Diseases Newsletter · doi:10.1016/0278-2316(88)90057-6 · Cited by 448 · see citing works
Rouder, J. N., & Lu, J. (2005) · Psychonomic Bulletin & Review · doi:10.3758/bf03196750 · Cited by 413 · see citing works
Self-citationApplying Occam’s razor in modeling cognition: A Bayesian approach
Myung, I. J., & Pitt, M. A. (1997) · Psychonomic Bulletin & Review · doi:10.3758/bf03210778 · Cited by 409 · see citing works
The importance of proving the null
Gallistel, C. R. (2009) · Psychological Review · doi:10.1037/a0015251 · Cited by 392 · see citing works
Yonelinas, A. P. (1999) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.25.6.1415 · Cited by 376 · see citing works
Aitkin, M. A. (1991) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1991.tb01812.x · Cited by 362 · see citing works
Logan, G. D. (1992) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.18.5.883 · Cited by 342 · see citing works
Average Values of Mean Squares in Factorials
Cornfield, J., & Tukey, J. W. (1956) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177728067 · Cited by 292 · see citing works
Signal detection theory and generalized linear models.
DeCarlo, L. T. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.2.186 · Cited by 279 · see citing works
The Weighted Likelihood Ratio, Sharp Hypotheses about Chances, the Order of a Markov Chain
Dickey, J., & Lientz, B. P. (1970) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177697203 · Cited by 274 · see citing works
Theory of Probability (3rd Edition)
Litton, C. D. (1984) · Journal of the Operational Research Society · doi:10.1057/jors.1984.141 · Cited by 257 · see citing works
Pratte, M. S., Rouder, J. N., Morey, R. D., & Feng, C. (2010) · Attention Perception & Psychophysics · doi:10.3758/app.72.7.2013 · Cited by 237 · see citing works
Self-citationContinuous Univariate Distributions, Volume 2
Berk, R. H. (1996) · Technometrics · doi:10.1080/00401706.1996.10484477 · Cited by 219 · see citing works
Logan, G. D. (1992) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.18.5.883 · Cited by 219 · see citing works
A Bayes factor meta-analysis of Bem’s ESP claim
Rouder, J. N., & Morey, R. D. (2011) · Psychonomic Bulletin & Review · doi:10.3758/s13423-011-0088-7 · Cited by 194 · see citing works
Self-citationMaximum Entropy and Bayesian Methods in Applied Statistics
Justice, J. H. (1986) · Cambridge University Press eBooks · doi:10.1017/cbo9780511569678 · Cited by 190 · see citing works
Bayesian Methods: General Background
Jaynes, E. T. (1986) · Cambridge University Press eBooks · doi:10.1017/cbo9780511569678.003 · Cited by 189 · see citing works
Good, I. J. (1979) · Biometrika · doi:10.1093/biomet/66.2.393 · Cited by 184 · see citing works
Probability, Induction and Statistics. The Art of Guessing
Rosenblatt-Roth, M., & de Finetti, B. (1979) · International Statistical Review · doi:10.2307/1403216 · Cited by 178 · see citing works
Data augmentation for support vector machines
Polson, N. G., & Scott, S. L. (2011) · Bayesian Analysis · doi:10.1214/11-ba601 · Cited by 172 · see citing works
Eves, H. W. (1980) · CERN Document Server (European Organization for Nuclear Research) · Cited by 171 · see citing works
Prior sensitivity in theory testing: An apologia for the Bayes factor
Vanpaemel, W. (2010) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2010.07.003 · Cited by 165 · see citing works
Bayes factors: Prior sensitivity and model generalizability
Liu, C. C., & Aitkin, M. A. (2008) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2008.03.002 · Cited by 163 · see citing works
Bayesian statistical inference in psychology: Comment on Trafimow (2003).
Lee, M., & Wagenmakers, E. (2005) · Psychological Review · doi:10.1037/0033-295x.112.3.662 · Cited by 128 · see citing works
Information Processing Models Generating Lognormally Distributed Reaction Times
Ulrich, R., & Miller, J. O. (1993) · Journal of Mathematical Psychology · doi:10.1006/jmps.1993.1032 · Cited by 124 · see citing works
A Default Bayesian Hypothesis Test for ANOVA Designs
Wetzels, R., Grasman, R. P. P. P., & Wagenmakers, E. (2012) · The American Statistician · doi:10.1080/00031305.2012.695956 · Cited by 123 · see citing works
Importance-Weighted Marginal Bayesian Posterior Density Estimation
Chen, M. (1994) · Journal of the American Statistical Association · doi:10.1080/01621459.1994.10476815 · Cited by 122 · see citing works
Kass, R. E. (1993) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348679 · Cited by 120 · see citing works
Continuous Univariate Distributions, Volume 1
Famoye, F., Johnson, N. L., Kotz, S., et al. (1995) · Technometrics · doi:10.2307/1269751 · Cited by 119 · see citing works
Approximations and consistency of Bayes factors as model dimension grows
Berger, J. O., Ghosh, J. K., & Mukhopadhyay, N. D. (2002) · Journal of Statistical Planning and Inference · doi:10.1016/s0378-3758(02)00336-1 · Cited by 103 · see citing works
A tutorial on Bayes factor estimation with the product space method
Lodewyckx, T., Kim, W., Lee, M. D., Tuerlinckx, F., Kuppens, P., & Wagenmakers, E. (2011) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2011.06.001 · Cited by 102 · see citing works
Bayesian model selection of informative hypotheses for repeated measurements
Mulder, J., Klugkist, I. G., van de Schoot, R., et al. (2009) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2009.09.003 · Cited by 96 · see citing works
An encompassing prior generalization of the Savage–Dickey density ratio
Wetzels, R., Grasman, R. P. P. P., & Wagenmakers, E. (2010) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2010.03.016 · Cited by 96 · see citing works
Using MCMC chain outputs to efficiently estimate Bayes factors
Morey, R. D., Rouder, J. N., Pratte, M. S., & Speckman, P. L. (2011) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2011.06.004 · Cited by 88 · see citing works
Self-citationBaayen, R. H., Tweedie, F. J., & Schreuder, R. (2002) · Brain and Language · doi:10.1006/brln.2001.2506 · Cited by 81 · see citing works
Extending conventional priors for testing general hypotheses in linear models
Bayarri, M. J., & García‐Donato, G. (2007) · Biometrika · doi:10.1093/biomet/asm014 · Cited by 77 · see citing works
Hyper-$g$ priors for generalized linear models
Bové, D. S., & Held, L. (2011) · Bayesian Analysis · doi:10.1214/11-ba615 · Cited by 72 · see citing works
A task-difficulty artifact in subliminal priming
Pratte, M. S., & Rouder, J. N. (2009) · Attention Perception & Psychophysics · doi:10.3758/app.71.6.1276 · Cited by 72 · see citing works
Self-citationEarly alternative derivations of Fechner's law
Masin, S. C., Zudini, V., & Antonelli, M. (2009) · Journal of the History of the Behavioral Sciences · doi:10.1002/jhbs.20349 · Cited by 68 · see citing works
Logic of Statistical Inference.
Bartlett, M. S., & Hacking, I. (1966) · Biometrika · doi:10.2307/2333679 · Cited by 59 · see citing works
Are Unshifted Distributional Models Appropriate for Response Time?
Rouder, J. N. (2005) · Psychometrika · doi:10.1007/s11336-005-1297-7 · Cited by 52 · see citing works
Self-citationSeparating mnemonic process from participant and item effects in the assessment of ROC asymmetries.
Pratte, M. S., Rouder, J. N., & Morey, R. D. (2010) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0017682 · Cited by 50 · see citing works
Self-citationHierarchical single- and dual-process models of recognition memory
Pratte, M. S., & Rouder, J. N. (2010) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2010.08.007 · Cited by 48 · see citing works
Self-citationYonelinas, A. (1999) · Journal of Experimental Psychology. Learning, Memory and Cognition · doi:10.1037/0278-7393.25.6.1415 · Cited by 47 · see citing works
The humble Bayesian: Model checking from a fully Bayesian perspective
Morey, R. D., Romeijn, J., & Rouder, J. N. (2012) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/j.2044-8317.2012.02067.x · Cited by 41 · see citing works
Self-citationObjective Bayesian inference for stress-strength models and Bayesian ANOVA
Min, X. (2012) · doi:10.32469/10355/33075 · Cited by 2 · see citing works
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Using Bayes to get the most out of non-significant results
Dienes, Z. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00781 · Cited by 1,998 · see citing works
What are the odds? A practical guide to computing and reporting Bayes factors
Jarosz, A. F., & Wiley, J. (2014) · The Journal of Problem Solving · doi:10.7771/1932-6246.1167 · Cited by 1,101 · see citing works
Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence
Keysers, C., Gazzola, V., & Wagenmakers, E.-J. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0660-4 · Cited by 654 · see citing works
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 · see citing works
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Rouder, J. N. (2014) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0595-4 · Cited by 492 · see citing works
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Przybylski, A. K., Weinstein, N., & Murayama, K. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.16020224 · Cited by 372 · see citing works
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Hinne, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E.-J. (2020) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245919898657 · Cited by 318 · see citing works
What large language models know and what people think they know
Steyvers, M., Tejeda, H., Kumar, A., Belem, C., Karny, S., Hu, X., Mayer, L. W., & Smyth, P. (2025) · Nature Machine Intelligence · doi:10.1038/s42256-024-00976-7 · Cited by 209 · see citing works
Domain-general enhancements of metacognitive ability through adaptive training.
Carpenter, J., Sherman, M. T., Kievit, R. A., Seth, A. K., Lau, H., & Fleming, S. M. (2019) · Journal of Experimental Psychology: General · doi:10.1037/xge0000505 · Cited by 174 · see citing works
There’s more than one way to conduct a replication study: Beyond statistical significance.
Anderson, S. F., & Maxwell, S. E. (2016) · Psychological Methods · doi:10.1037/met0000051 · Cited by 167 · see citing works
Publication guidelines and recommendations for pupillary measurement in psychophysiological studies
Steinhauer, S. R., Bradley, M. M., Siegle, G. J., Roecklein, K. A., & Dix, A. (2022) · Psychophysiology · doi:10.1111/psyp.14035 · Cited by 137 · see citing works
Respiration modulates olfactory memory consolidation in humans.
Arshamian, A., Iravani, B., Majid, A., & Lundström, J. N. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.3360-17.2018 · Cited by 115 · see citing works
Digital detox: The effect of smartphone abstinence on mood, anxiety, and craving
Wilcockson, T. D. W., Osborne, A. M., & Ellis, D. A. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.06.002 · Cited by 115 · see citing works
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Rouder, J. N., Haaf, J. M., & Vandekerckhove, J. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1420-7 · Cited by 102 · see citing works
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Pool, E. R., Gera, R., Fransen, A., Perez, O. D., Cremer, A., Aleksic, M., Tanwisuth, S., Quail, S., Ceceli, A. O., Manfredi, D. A., et al. (2022) · Learning & Memory · doi:10.1101/lm.053413.121 · Cited by 74 · see citing works
Lawlor-Savage, L., & Goghari, V. M. (2016) · PLOS ONE · doi:10.1371/journal.pone.0151817 · Cited by 74 · see citing works
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Ramani, G. B., Daubert, E. N., Lin, G. C., Kamarsu, S., Wodzinski, A., & Jaeggi, S. M. (2020) · Developmental Science · doi:10.1111/desc.12908 · Cited by 48 · see citing works
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van Maanen, L., Fontanesi, L., Hawkins, G. E., & Forstmann, B. U. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.045 · Cited by 36 · see citing works
A Bayesian Approach to the Correction for Multiplicity
de Jong, T. (2019) · doi:10.31234/osf.io/s56mk · Cited by 35 · see citing works
Pool, E. R., Munoz Tord, D., Delplanque, S., Stussi, Y., Cereghetti, D., Vuilleumier, P., & Sander, D. (2022) · The Journal of Neuroscience · doi:10.1523/jneurosci.1124-21.2022 · Cited by 33 · see citing works
Adaptive working memory training does not produce transfer effects in cognition and neuroimaging
Ripp, I., Emch, M., Wu, Q., Lizarraga, A., Udale, R., von Bastian, C. C., Koch, K., & Yakushev, I. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02272-7 · Cited by 31 · see citing works
“We used a set of widely accepted default priors for t-tests [65] and ANOVAs [66].”
MethodInfluentialGeneralization of socially transmitted and instructed avoidance
Cameron, G., Schlund, M. W., & Dymond, S. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00159 · Cited by 29 · see citing works
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 · see citing works
The decentering component of mindfulness reduces reactions to mental imagery.
Keesman, M., Aarts, H., Häfner, M., & Papies, E. K. (2020) · Motivation Science · doi:10.1037/mot0000137 · Cited by 23 · see citing works
Irwin, L. N., Groves, N. B., Soto, E. F., & Kofler, M. J. (2020) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617720000545 · Cited by 13 · see citing works
How do listeners time response articulation when answering questions? The role of speech rate.
Corps, R. E., Gambi, C., & Pickering, M. J. (2020) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/xlm0000759 · Cited by 10 · see citing works
Action sequence learning, habits, and automaticity in obsessive-compulsive disorder
Banca, P., Herrojo Ruiz, M., Gonzalez-Zalba, M. F., Biria, M., Marzuki, A. A., Piercy, T., Sule, A., Fineberg, N. A., & Robbins, T. W. (2024) · eLife · doi:10.7554/elife.87346 · Cited by 9 · see citing works
Mindfulness Effects on Anxiety: Disentangling the Role of Decentering and Treatment Expectations
Bos, D. P. A., Keesman, M., Roggeveen, A., Vase, L., Evers, A. W. M., & Peerdeman, K. J. (2024) · Behavior Therapy · doi:10.1016/j.beth.2024.03.004 · Cited by 5 · see citing works
- Authors
- Rouder, J. N., Morey, R. D., Speckman, P. L., & Province, J. M.
- Affiliations
- University of Missouri System (US)
- University of Groningen (NL)
- Corresponding author
- Rouder, Jeffrey N.
- Venue
- Journal of Mathematical Psychology
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 56
- Issue
- 5
- Pages
- 356-374
- ISSN
- 0022-2496 (ISSN-L)
- OpenAlex
- W2143841415
- Cited by
- 1,800
- References
- 108
- Citations by year
- 2026: 90 · 2025: 102 · 2024: 118 · 2023: 166 · 2022: 178 · 2021: 199 · 2020: 193 · 2019: 161 · 2018: 171 · 2017: 167 · 2016: 125 · 2015: 75 · 2014: 41 · 2013: 7 · 2012: 5
- FWCI
- 40.66
- Type
- journal article
- Language
- en
- Open access
- green
- research.rug.nl
- Licence
- Locations
- Journal of Mathematical Psychology (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- Cauchy prior, standardized effect size, linear transformation invariance, mixed models, random effects, within-subjects design, between-subjects design, nonlinear models, statistical evidence, p-values
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