References

Adams, Robert A., and Christopher Essex. 2018. Calculus: A Complete Course. Pearson.

Allaire, J. J., Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, et al. 2024. rmarkdown: Dynamic Documents for R. https://github.com/rstudio/rmarkdown.

Anderson, John R., Dan Bothell, Michael D Byrne, Scott Douglass, Christian Lebiere, and Yulin Qin. 2004. “An Integrated Theory of the Mind.” Psychological Review 111 (4): 1036–60.

Antoine Lucas, Dirk Eddelbuettel with contributions by, Jarek Tuszynski, Henrik Bengtsson, Simon Urbanek, Mario Frasca, Bryan Lewis, Murray Stokely, et al. 2021. Digest: Create Compact Hash Digests of R Objects. https://CRAN.R-project.org/package=digest.

Ashby, F. Gregory. 1982. “Testing the Assumptions of Exponential, Additive Reaction Time Models.” Memory & Cognition 10 (2): 125–34.

Ashby, F. Gregory, and James T. Townsend. 1980. “Decomposing the Reaction Time Distribution: Pure Insertion and Selective Influence Revisited.” Journal of Mathematical Psychology 21 (2): 93–123.

Audley, R. J., and A. R. Pike. 1965. “Some Alternative Stochastic Models of Choice 1.” British Journal of Mathematical and Statistical Psychology 18 (2): 207–25.

Auguie, Baptiste. 2017. GridExtra: Miscellaneous Functions for "Grid" Graphics. https://CRAN.R-project.org/package=gridExtra.

Aust, Frederik. 2019. citr: RStudio Add-in to Insert Markdown Citations. https://CRAN.R-project.org/package=citr.

Aust, Frederik, and Marius Barth. 2020. papaja: Create APA Manuscripts with R Markdown. https://github.com/crsh/papaja.

Baayen, R. Harald, Douglas J. Davidson, and Douglas M. Bates. 2008. “Mixed-Effects Modeling with Crossed Random Effects for Subjects and Items.” Journal of Memory and Language 59 (4): 390–412.

Baguley, Thomas. 2012. Serious Stats: A Guide to Advanced Statistics for the Behavioral Sciences. Macmillan International Higher Education.

Barr, Dale J., Roger P. Levy, Christoph Scheepers, and Harry J. Tily. 2013. “Random Effects Structure for Confirmatory Hypothesis Testing: Keep It Maximal.” Journal of Memory and Language 68 (3): 255–78.

Barth, Marius. 2023. tinylabels: Lightweight Variable Labels. https://github.com/mariusbarth/tinylabels.

Batchelder, William H., and David M. Riefer. 1990. “Multinomial Processing Models of Source Monitoring.” Psychological Review 97 (4): 548.

———. 1999. “Theoretical and Empirical Review of Multinomial Process Tree Modeling.” Psychonomic Bulletin & Review 6 (1): 57–86.

Bates, Douglas M., Reinhold Kliegl, Shravan Vasishth, and R. Harald Baayen. 2015. “Parsimonious Mixed Models.” arXiv Preptin arXiv:1506.04967.

Bates, Douglas M., Martin Mächler, Ben Bolker, and Steve Walker. 2015. “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software 67 (1): 1–48. https://doi.org/10.18637/jss.v067.i01.

Bates, Douglas M., Martin Maechler, and Mikael Jagan. 2023. Matrix: Sparse and Dense Matrix Classes and Methods. https://Matrix.R-forge.R-project.org.

Beall, Alec T., and Jessica L. Tracy. 2013. “Women Are More Likely to Wear Red or Pink at Peak Fertility.” Psychological Science 24 (9): 1837–41.

Beer, Randall D. 2000. “Dynamical Approaches to Cognitive Science.” Trends in Cognitive Sciences 4 (3): 91–99.

Belin, T. R., and Donald B. Rubin. 1990. “Analysis of a Finite Mixture Model with Variance Components.” In Proceedings of the Social Statistics Section, 211–15.

Bengtsson, Henrik. 2021. “A Unifying Framework for Parallel and Distributed Processing in R Using Futures.” The R Journal 13 (2): 208–27. https://doi.org/10.32614/RJ-2021-048.

Bennett, Charles H. 1976. “Efficient Estimation of Free Energy Differences from Monte Carlo Data.” Journal of Computational Physics 22 (2): 245–68. https://doi.org/10.1016/0021-9991(76)90078-4.

Bernardo, José M., and Adrian F. M. Smith. 2009. Bayesian Theory. Vol. 405. John Wiley & Sons.

Betancourt, Michael J. 2016. “Identifying the Optimal Integration Time in Hamiltonian Monte Carlo.” arXiv Preprint arXiv:1601.00225. http://arxiv.org/abs/1601.00225.

———. 2017. “A Conceptual Introduction to Hamiltonian Monte Carlo.” arXiv Preprin: arXiv:1701.02434. http://arxiv.org/abs/1701.02434.

———. 2018. “Towards a Principled Bayesian Workflow.” https://betanalpha.github.io/assets/case_studies/principled_bayesian_workflow.html.

Betancourt, Michael J., and Mark Girolami. 2015. “Hamiltonian Monte Carlo for Hierarchical Models.” Current Trends in Bayesian Methodology with Applications 79 (30): 2–4.

Bever, Thomas G. 1970. “The Cognitive Basis for Linguistic Structures.” Cognition and the Development of Language.

Bishop, Christopher M. 2006. Pattern Recognition and Machine Learning. Springer.

Blanchard, Pierre, Desmond J. Higham, and Nicholas J. Higham. 2020. “Accurately computing the log-sum-exp and softmax functions.” IMA Journal of Numerical Analysis 41 (4): 2311–30. https://doi.org/10.1093/imanum/draa038.

Blitzstein, Joseph K., and Jessica Hwang. 2014. Introduction to Probability. Chapman; Hall/CRC.

Blokpoel, Mark, and Iris van Rooij. 2021. Theoretical Modeling for Cognitive Science and Psychology. https://computationalcognitivescience.github.io/lovelace/.

Blumberg, Eric J., Matthew S. Peterson, and Raja Parasuraman. 2015. “Enhancing Multiple Object Tracking Performance with Noninvasive Brain Stimulation: A Causal Role for the Anterior Intraparietal Sulcus.” Frontiers in Systems Neuroscience 9: 3. https://doi.org/10.3389/fnsys.2015.00003.

Bolker, Ben. 2018. “Contrasts.” https://computationalcognitivescience.github.io/lovelace/.

Box, George E. P. 1979. “Robustness in the Strategy of Scientific Model Building.” In Robustness in Statistics, 201–36. Elsevier.

Box, George E. P., and David R. Cox. 1964. “An Analysis of Transformations.” Journal of the Royal Statistical Society. Series B (Methodological), 211–52.

Brée, David S. 1975. “The Distribution of Problem-Solving Times: An Examination of the Stages Model.” British Journal of Mathematical and Statistical Psychology 28 (2): 177–200. https://doi.org/10/cnx3q7.

Britten, Kenneth H., Michael N. Shadlen, William T. Newsome, and J. Anthony Movshon. 1993. “Responses of Neurons in Macaque MT to Stochastic Motion Signals.” Visual Neuroscience 10 (6): 1157–69. https://doi.org/10.1017/S0952523800010269.

Broadbent, Donald E., and Margaret H. P. Broadbent. 1987. “From Detection to Identification: Response to Multiple Targets in Rapid Serial Visual Presentation.” Perception & Psychophysics 42 (2): 105–13. https://doi.org/10.3758/BF03210498.

Brown, Scott D., and Andrew Heathcote. 2005. “A Ballistic Model of Choice Response Time.” Psychological Review 112 (1): 117.

———. 2008. “The Simplest Complete Model of Choice Response Time: Linear Ballistic Accumulation.” Cognitive Psychology 57 (3): 153–78. https://doi.org/10.1016/j.cogpsych.2007.12.002.

Browne, William J., and David Draper. 2006. “A Comparison of Bayesian and Likelihood-Based Methods for Fitting Multilevel Models.” Bayesian Analysis 1 (3): 473–514.

Brysbaert, Marc, Paweł Mandera, and Emmanuel Keuleers. 2018. “The Word Frequency Effect in Word Processing: An Updated Review.” Current Directions in Psychological Science 27 (1): 45–50. https://doi.org/10.1177/0963721417727521.

Burger, Edward B., and Michael Starbird. 2012. The 5 Elements of Effective Thinking. Princeton University Press.

Bürki, Audrey, Francois-Xavier Alario, and Shravan Vasishth. 2023. “When Words Collide: Bayesian Meta-Analyses of Distractor and Target Properties in the Picture-Word Interference Paradigm.” Quarterly Journal of Experimental Psychology 76 (6): 1410–30. https://doi.org/https://doi.org/10.1177/17470218221114644.

Bürki, Audrey, Shereen Elbuy, Sylvain Madec, and Shravan Vasishth. 2020. “What Did We Learn from Forty Years of Research on Semantic Interference? A Bayesian Meta-Analysis.” Journal of Memory and Language 114. https://doi.org/10.1016/j.jml.2020.104125.

Bürkner, Paul-Christian. 2017. “brms: An R Package for Bayesian Multilevel Models Using Stan.” Journal of Statistical Software 80 (1): 1–28. https://doi.org/10.18637/jss.v080.i01.

Bürkner, Paul-Christian. 2024. brms: Bayesian Regression Models Using “Stan”. https://github.com/paul-buerkner/brms.

Bürkner, Paul-Christian, and Emmanuel Charpentier. 2020. “Modelling Monotonic Effects of Ordinal Predictors in Bayesian Regression Models.” British Journal of Mathematical and Statistical Psychology. https://doi.org/https://doi.org/10.1111/bmsp.12195.

Bürkner, Paul-Christian, and Matti Vuorre. 2019. “Ordinal Regression Models in Psychology: A Tutorial.” Advances in Methods and Practices in Psychological Science 2 (1): 77–101. https://doi.org/https://doi.org/10.1177/2515245918823199.

Busemeyer, Jerome R, and Adele Diederich. 2010. Cognitive Modeling. Sage.

Buzsáki, György, and Kenji Mizuseki. 2014. “The Log-Dynamic Brain: How Skewed Distributions Affect Network Operations.” Nature Reviews Neuroscience 15 (4): 264–78. https://doi.org/10.1038/nrn3687.

Caplan, David, and G. S. Waters. 1999. “Verbal Working Memory and Sentence Comprehension.” Behavioral and Brain Science 22: 77–94. https://doi.org/https://doi.org/10.1017/S0140525X99001788.

Carlin, Bradley P., and Thomas A Louis. 2008. Bayesian Methods for Data Analysis. CRC Press.

Carney, Dana R., Amy J. C. Cuddy, and Andy J. Yap. 2010. “Power Posing: Brief Nonverbal Displays Affect Neuroendocrine Levels and Risk Tolerance.” Psychological Science 21 (10): 1363–8.

Carpenter, Bob, Andrew Gelman, Matthew D. Hoffman, Daniel Lee, Ben Goodrich, Michael J. Betancourt, Marcus Brubaker, Jiqiang Guo, Peter Li, and Allen Riddell. 2017. “Stan: A Probabilistic Programming Language.” Journal of Statistical Software 76 (1).

Chambers, Chris. 2019. The Seven Deadly Sins of Psychology: A Manifesto for Reforming the Culture of Scientific Practice. Princeton University Press.

Chang, Winston. 2018. webshot: Take Screenshots of Web Pages. https://CRAN.R-project.org/package=webshot.

Chen, Stanley F., and Joshua Goodman. 1999. “An Empirical Study of Smoothing Techniques for Language Modeling.” Computer Speech & Language 13 (4): 359–94. https://doi.org/https://doi.org/10.1006/csla.1999.0128.

Cheng, Joe. 2018. miniUI: Shiny Ui Widgets for Small Screens. https://CRAN.R-project.org/package=miniUI.

Christensen, Ronald, Wesley Johnson, Adam Branscum, and Timothy Hanson. 2011. “Bayesian Ideas and Data Analysis.” CRC Press.

Clark, Vincent P., Silu Fan, and Steven A. Hillyard. 1994. “Identification of Early Visual Evoked Potential Generators by Retinotopic and Topographic Analyses.” Human Brain Mapping 2 (3): 170–87.

Conway, Andrew R. A., Michael J. Kane, Michael F. Bunting, D. Zach Hambrick, Oliver Wilhelm, and Randall W. Engle. 2005. “Working Memory Span Tasks: A Methodological Review and User’s Guide.” Psychonomic Bulletin & Review 12 (5): 769–86.

Cook, Samantha R., Andrew Gelman, and Donald B. Rubin. 2006. “Validation of Software for Bayesian Models Using Posterior Quantiles.” Journal of Computational and Graphical Statistics 15 (3): 675–92. https://doi.org/10.1198/106186006X136976.

Cox, Christopher Martin Mikkelsen, Tamar Keren-Portnoy, Andreas Roepstorff, and Riccardo Fusaroli. 2022. “A Bayesian Meta-Analysis of Infants’ Ability to Perceive Audio–Visual Congruence for Speech.” Infancy 27 (1): 67–96.

Cumming, Geoff. 2014. “The New Statistics: Why and How.” Psychological Science 25 (1): 7–29.

Dablander, Fabian, Karoline Huth, Quentin F. Gronau, Alexander Etz, and Eric-Jan Wagenmakers. 2022. “A Puzzle of Proportions: Two Popular Bayesian Tests Can Yield Dramatically Different Conclusions.” Statistics in Medicine 41 (8): 1319–33.

Damasio, Antonio R. 1992. “Aphasia.” New England Journal of Medicine 326 (8): 531–39. https://doi.org/10.1056/NEJM199202203260806.

de Finetti, Bruno. 1931. “Funcione Caratteristica Di Un Fenomeno Aleatorio.” Atti Dela Reale Accademia Nazionale Dei Lincei, Serie 6. Memorie, Classe Di Scienze Fisiche, Mathematice E Naturale 4: 251–99.

DeLong, Katherine A., Thomas P. Urbach, and Marta Kutas. 2005. “Probabilistic Word Pre-Activation During Language Comprehension Inferred from Electrical Brain Activity.” Nature Neuroscience 8 (8): 1117–21. https://doi.org/10.1038/nn1504.

Denckla, Martha Bridge, and Rita G. Rudel. 1976. “Rapid ‘Automatized’ Naming (R.A.N.): Dyslexia Differentiated from Other Learning Disabilities.” Neuropsychologia 14 (4): 471–79. https://doi.org/https://doi.org/10.1016/0028-3932(76)90075-0.

DerSimonian, Rebecca, and Nan M. Laird. 1986. “Meta-Analysis in Clinical Trials.” Controlled Clinical Trials 7 (3): 177–88. https://doi.org/https://doi.org/10.1016/0197-2456(86)90046-2.

Dickey, James M., and B. P. Lientz. 1970. “The Weighted Likelihood Ratio, Sharp Hypotheses About Chances, the Order of a Markov Chain.” The Annals of Mathematical Statistics 41 (1): 214–26. https://www.jstor.org/stable/2239734.

Dillon, Brian W. 2011. “Structured Access in Sentence Comprehension.” PhD thesis, University of Maryland.

Dillon, Brian W., Alan Mishler, Shayne Sloggett, and Colin Phillips. 2013. “Contrasting Intrusion Profiles for Agreement and Anaphora: Experimental and Modeling Evidence.” Journal of Memory and Language 69 (2): 85–103. https://doi.org/https://doi.org/10.1016/j.jml.2013.04.003.

Dobson, Annette J., and Adrian Barnett. 2011. An Introduction to Generalized Linear Models. CRC Press.

Drton, Mathias. 2013. SIN: A SINful Approach to Selection of Gaussian Graphical Markov Models. https://CRAN.R-project.org/package=SIN.

Duane, Simon, A. D. Kennedy, Brian J. Pendleton, and Duncan Roweth. 1987. “Hybrid Monte Carlo.” Physics Letters B 195 (2): 216–22. https://doi.org/10.1016/0370-2693(87)91197-X.

Dufau, Stéphane, Jonathan Grainger, and Johannes C. Ziegler. 2012. “How to Say ‘No’ to a Nonword: A Leaky Competing Accumulator Model of Lexical Decision.” Journal of Experimental Psychology: Learning, Memory, and Cognition 38 (4): 1117. https://doi.org/https://doi.org/10.1037/a0026948.

Dutilh, Gilles, Jeffrey Annis, Scott D. Brown, Peter Cassey, Nathan J. Evans, Raoul P. P. P. Grasman, Guy E. Hawkins, et al. 2019. “The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models.” Psychonomic Bulletin & Review 26 (4): 1051–69. https://doi.org/https://doi.org/10.3758/s13423-017-1417-2.

Dutilh, Gilles, Eric-Jan Wagenmakers, Ingmar Visser, and Han L. J. van der Maas. 2011. “A Phase Transition Model for the Speed-Accuracy Trade-Off in Response Time Experiments.” Cognitive Science 35 (2): 211–50. https://doi.org/10.1111/j.1551-6709.2010.01147.x.

Ebersole, Charles R., Olivia E. Atherton, Aimee L. Belanger, Hayley M. Skulborstad, Jill M. Allen, Jonathan B. Banks, Erica Baranski, et al. 2016. “Many Labs 3: Evaluating Participant Pool Quality Across the Academic Semester via Replication.” Journal of Experimental Social Psychology 67: 68–82. https://doi.org/https://doi.org/10.1016/j.jesp.2015.10.012.

Eddelbuettel, Dirk, Romain Francois, J. J. Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Inaki Ucar, Douglas M. Bates, and John Chambers. 2024. Rcpp: Seamless R and C++ Integration. https://www.rcpp.org.

Engbert, Ralf, Antje Nuthmann, Eike M. Richter, and Reinhold Kliegl. 2005. “SWIFT: A Dynamical Model of Saccade Generation During Reading.” Psychological Review 112: 777–813. https://doi.org/https://doi.org/10.1037/0033-295X.112.4.777.

Engelmann, Felix, Lena A. Jäger, and Shravan Vasishth. 2020. “The Effect of Prominence and Cue Association in Retrieval Processes: A Computational Account.” Cognitive Science 43 (12): e12800. https://doi.org/10.1111/cogs.12800.

Epstein, Joshua M. 2008. “Why Model?” Journal of Artificial Societies and Social Simulation 11 (4): 12. https://www.jasss.org/11/4/12.html.

Faraway, Julian James. 2002. Practical Regression and ANOVA using R. Vol. 168. Citeseer.

———. 2016. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Chapman; Hall/CRC.

Farrell, Simon, and Stephan Lewandowsky. 2018. Computational Modeling of Cognition and Behavior. Cambridge University Press.

Fedorenko, Evelina, Edward Gibson, and Douglas Rohde. 2006. “The Nature of Working Memory Capacity in Sentence Comprehension: Evidence Against Domain-Specific Working Memory Resources.” Journal of Memory and Language 54 (4): 541–53. https://doi.org/https://doi.org/10.1016/j.jml.2005.12.006.

Feldman, Jacob. 2017. “What Are the ‘True’ Statistics of the Environment?” Cognitive Science 41 (7): 1871–1903. https://doi.org/https://doi.org/10.1111/cogs.12444.

Fieller, Nick. 2016. Basics of Matrix Algebra for Statistics with R. Boca Raton, FL: CRC Press.

Fisher, Christopher R., Joseph W. Houpt, and Glenn Gunzelmann. 2022. “Fundamental Tools for Developing Likelihood Functions Within ACT-R.” Journal of Mathematical Psychology 107: 102636. https://doi.org/https://doi.org/10.1016/j.jmp.2021.102636.

Fosse, Nathan E. 2016. “Replication Data for "Power Posing: Brief Nonverbal Displays Affect Neuroendocrine Levels and Risk Tolerance" by Carney, Cuddy, Yap (2010).” Harvard Dataverse. https://doi.org/10.7910/DVN/FMEGS6.

Fox, John. 2009. A Mathematical Primer for Social Statistics. Vol. 159. Sage.

———. 2015. Applied Regression Analysis and Generalized Linear Models. Sage Publications.

Francois, Romain. 2017. Bibtex: Bibtex Parser. https://CRAN.R-project.org/package=bibtex.

Frank, Stefan L., Leun J. Otten, Giulia Galli, and Gabriella Vigliocco. 2015. “The ERP Response to the Amount of Information Conveyed by Words in Sentences.” Brain and Language 140: 1–11. https://doi.org/10.1016/j.bandl.2014.10.006.

Frank, Stefan L., Thijs Trompenaars, and Shravan Vasishth. 2015. “Cross-Linguistic Differences in Processing Double-Embedded Relative Clauses: Working-Memory Constraints or Language Statistics?” Cognitive Science 40: 554–78. https://doi.org/10.1111/cogs.12247.

Frazier, Lyn. 1979. “On Comprehending Sentences: Syntactic Parsing Strategies.” PhD thesis, Amherst: University of Massachusetts.

Freedman, Laurence S., D. Lowe, and P. Macaskill. 1984. “Stopping Rules for Clinical Trials Incorporating Clinical Opinion.” Biometrics 40 (3): 575–86.

Friendly, Michael, John Fox, and Phil Chalmers. 2020. Matlib: Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics. https://CRAN.R-project.org/package=matlib.

Frühwirth-Schnatter, Sylvia. 2006. Finite Mixture and Markov Switching Models. Springer Series in Statistics. Springer. https://doi.org/10.1007/978-0-387-35768-3.

Gabry, Jonah, Rok Češnovar, Andrew Johnson, and Steve Bronder. 2024. cmdstanr: R Interface to “CmdStan”. https://mc-stan.org/cmdstanr/.

Gabry, Jonah, and Tristan Mahr. 2024. bayesplot: Plotting for Bayesian Models. https://mc-stan.org/bayesplot/.

Gabry, Jonah, Daniel P. Simpson, Aki Vehtari, Michael J. Betancourt, and Andrew Gelman. 2019. “Visualization in Bayesian Workflow.” Journal of the Royal Statistical Society Series A: Statistics in Society 182 (2): 389–402. https://doi.org/10.1111/rssa.12378.

Gamerman, Dani, and Hedibert F. Lopes. 2006. Markov chain Monte Carlo: Stochastic simulation for Bayesian inference. CRC Press.

Ge, Hong, Kai Xu, and Zoubin Ghahramani. 2018. “Turing: A Language for Flexible Probabilistic Inference.” In Proceedings of Machine Learning Research, edited by Amos Storkey and Fernando Perez-Cruz, 84:1682–90. Playa Blanca, Lanzarote, Canary Islands: PMLR. http://proceedings.mlr.press/v84/ge18b.html.

Geisser, Seymour, and William F. Eddy. 1979. “A Predictive Approach to Model Selection.” Journal of the American Statistical Association 74 (365): 153–60.

Gelman, Andrew. 2006. “Prior Distributions for Variance Parameters in Hierarchical Models (Comment on Article by Browne and Draper).” Bayesian Analysis 1 (3): 515–34.

Gelman, Andrew, and John B. Carlin. 2014. “Beyond Power Calculations: Assessing Type S (Sign) and Type M (Magnitude) Errors.” Perspectives on Psychological Science 9 (6): 641–51. https://doi.org/https://doi.org/10.1177/1745691614551642.

Gelman, Andrew, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin. 2014. Bayesian Data Analysis. Third Edition. Boca Raton, FL: Chapman; Hall/CRC Press.

Gelman, Andrew, and Jennifer Hill. 2007. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press.

Gelman, Andrew, Daniel P. Simpson, and Michael J. Betancourt. 2017. “The Prior Can Often Only Be Understood in the Context of the Likelihood.” Entropy 19 (10): 555. https://doi.org/10.3390/e19100555.

Gelman, Andrew, Aki Vehtari, Daniel P. Simpson, Charles C. Margossian, Bob Carpenter, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Bürkner, and Martin Modrák. 2020. “Bayesian Workflow.” arXiv Preprint arXiv:2011.01808.

Gentle, James E. 2007. “Matrix Algebra: Theory, Computations, and Applications in Statistics.” Springer Texts in Statistics 10.

Gibson, Edward. 2000. “Dependency Locality Theory: A Distance-Based Theory of Linguistic Complexity.” In Image, Language, Brain: Papers from the First Mind Articulation Project Symposium, edited by Alec Marantz, Yasushi Miyashita, and Wayne O’Neil. Cambridge, MA: MIT Press.

Gibson, Edward, Timothy Desmet, Daniel Grodner, Duane Watson, and Kara Ko. 2005. “Reading Relative Clauses in English.”

Gibson, Edward, and James Thomas. 1999. “Memory Limitations and Structural Forgetting: The Perception of Complex Ungrammatical Sentences as Grammatical.” Language and Cognitive Processes 14(3): 225–48. https://doi.org/https://doi.org/10.1080/016909699386293.

Gibson, Edward, and H.-H. Iris Wu. 2013. “Processing Chinese Relative Clauses in Context.” Language and Cognitive Processes 28 (1-2): 125–55. https://doi.org/https://doi.org/10.1080/01690965.2010.536656.

Gill, Jeff. 2006. Essential Mathematics for Political and Social Research. Cambridge University Press Cambridge.

Gneiting, Tilmann, and Adrian E. Raftery. 2007. “Strictly Proper Scoring Rules, Prediction, and Estimation.” Journal of the American Statistical Association 102 (477): 359–78. https://doi.org/10.1198/016214506000001437.

Gohel, David, Hadley Wickham, Lionel Henry, and Jeroen Ooms. 2019. gdtools: Utilities for Graphical Rendering. https://CRAN.R-project.org/package=gdtools.

Good, I. J. 1952. “Rational Decisions.” Journal of the Royal Statistical Society. Series B (Methodological) 14 (1): 107–14. http://www.jstor.org/stable/2984087.

Goodrich, Ben, Jonah Gabry, Imad Ali, and Sam Brilleman. 2018. “Rstanarm: Bayesian Applied Regression Modeling via Stan.” http://mc-stan.org/.

Goodrich, Ben, Andrew Gelman, Bob Carpenter, Matthew D. Hoffman, Daniel Lee, Michael J. Betancourt, Marcus Brubaker, et al. 2024. StanHeaders: C++ Header Files for Stan. https://mc-stan.org/.

Gordon, P. C., Randall Hendrick, and Marcus Johnson. 2001. “Memory Interference During Language Processing.” Journal of Experimental Psychology: Learning, Memory, and Cognition 27 (6): 1411–23. https://doi.org/ https://doi.org/10.1037/0278-7393.27.6.1411.

Grassi, Massimo, Camilla Crotti, David Giofrè, Ingrid Boedker, and Enrico Toffalini. 2021. “Two Replications of Raymond, Shapiro, and Arnell (1992), the Attentional Blink.” Behavior Research Methods 53 (2): 656–68. https://doi.org/10.3758/s13428-020-01457-6.

Grodner, Daniel, and Edward Gibson. 2005. “Consequences of the Serial Nature of Linguistic Input.” Cognitive Science 29: 261–90. https://doi.org/https://doi.org/10.1207/s15516709cog0000_7.

Gronau, Quentin F., Alexandra Sarafoglou, Dora Matzke, Alexander Ly, Udo Boehm, Maarten Marsman, David S. Leslie, Jonathan J. Forster, Eric-Jan Wagenmakers, and Helen Steingroever. 2017. “A Tutorial on Bridge Sampling.” Journal of Mathematical Psychology 81: 80–97. https://doi.org/10.1016/j.jmp.2017.09.005.

Gronau, Quentin F., Henrik Singmann, and Eric-Jan Wagenmakers. 2017. “Bridgesampling: An R Package for Estimating Normalizing Constants.” arXiv Preprint arXiv:1710.08162. http://arxiv.org/abs/1710.08162.

———. 2020. “bridgesampling: An R Package for Estimating Normalizing Constants.” Journal of Statistical Software 92 (10): 1–29. https://doi.org/10.18637/jss.v092.i10.

Gronau, Quentin F., and Eric-Jan Wagenmakers. 2018. “Limitations of Bayesian Leave-One-Out Cross-Validation for Model Selection.” Computational Brain & Behavior. https://doi.org/10.1007/s42113-018-0011-7.

———. 2019. “Rejoinder: More Limitations of Bayesian Leave-One-Out Cross-Validation.” Computational Brain & Behavior 2 (1): 35–47. https://doi.org/ https://doi.org/10.1007/s42113-018-0022-4.

Guo, Jiqiang, Jonah Gabry, Ben Goodrich, Andrew Johnson, Sebastian Weber, and Hamada S. Badr. 2024. rstan: R Interface to Stan. https://mc-stan.org/rstan/.

Haaf, Julia M., and Jeffrey N Rouder. 2019. “Some Do and Some Don’t? Accounting for Variability of Individual Difference Structures.” Psychonomic Bulletin & Review 26 (3): 772–89.

Haines, Nathaniel, Peter D. Kvam, Louis H. Irving, Colin Smith, Theodore P. Beauchaine, Mark A. Pitt, Woo-Young Ahn, and Brandon M Turner. 2020. “Learning from the Reliability Paradox: How Theoretically Informed Generative Models Can Advance the Social, Behavioral, and Brain Sciences.” https://ccs-lab.github.io/pdfs/papers/haines2020_reliability.pdf.

Hammerly, Christopher, Adrian Staub, and Brian W. Dillon. 2019. “The Grammaticality Asymmetry in Agreement Attraction Reflects Response Bias: Experimental and Modeling Evidence.” Cognitive Psychology 110: 70–104. https://doi.org/https://doi.org/10.1016/j.cogpsych.2019.01.001.

Han, Ding, Jana Wegrzyn, Hua Bi, Ruihua Wei, Bin Zhang, and Xiaorong Li. 2018. “Practice Makes the Deficiency of Global Motion Detection in People with Pattern-Related Visual Stress More Apparent.” PLOS ONE 13 (2): 1–13. https://doi.org/10.1371/journal.pone.0193215.

Harrell Jr., Frank E. 2015. Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. New York, NY: Springer.

Harris, Christopher M., and Jonathan Waddington. 2012. “On the Convergence of Time Interval Moments: Caveat Sciscitator.” Journal of Neuroscience Methods 205 (2): 345–56. https://doi.org/https://doi.org/10.1016/j.jneumeth.2012.01.017.

Harris, Christopher M., Jonathan Waddington, Valerio Biscione, and Sean Manzi. 2014. “Manual Choice Reaction Times in the Rate-Domain.” Frontiers in Human Neuroscience 8: 418. https://doi.org/10.3389/fnhum.2014.00418.

Hartmann, Raphael, Lea Johannsen, and Karl Christoph Klauer. 2020. “rtmpt: An R Package for Fitting Response-Time Extended Multinomial Processing Tree Models.” Behavior Research Methods 52 (3): 1313–38.

Hayes, Taylor R., and Alexander A. Petrov. 2016. “Mapping and Correcting the Influence of Gaze Position on Pupil Size Measurements.” Behavior Research Methods 48 (2): 510–27. https://doi.org/10.3758/s13428-015-0588-x.

Heathcote, Andrew. 2004. “Fitting Wald and ex-Wald Distributions to Response Time Data: An Example Using Functions for the S-Plus Package.” Behavior Research Methods, Instruments, & Computers 36 (4): 678–94. https://doi.org/https://doi.org/10.3758/BF03206550.

Heathcote, Andrew, Yi-Shin Lin, Angus Reynolds, Luke Strickland, Matthew Gretton, and Dora Matzke. 2019. “Dynamic Models of Choice.” Behavior Research Methods 51 (2): 961–85. https://doi.org/https://doi.org/10.3758/s13428-018-1067-y.

Heathcote, Andrew, and Jonathon Love. 2012. “Linear Deterministic Accumulator Models of Simple Choice.” Frontiers in Psychology 3: 292. https://doi.org/10.3389/fpsyg.2012.00292.

Heck, Daniel W. 2019. “A Caveat on the Savage–Dickey Density Ratio: The Case of Computing Bayes Factors for Regression Parameters.” British Journal of Mathematical and Statistical Psychology 72 (2): 316–33.

Heck, Daniel W, and Edgar Erdfelder. 2016. “Extending Multinomial Processing Tree Models to Measure the Relative Speed of Cognitive Processes.” Psychonomic Bulletin &Amp; Review 23 (5): 1440–65. https://doi.org/10.3758/s13423-016-1025-6.

———. 2020. “Benefits of Response Time-Extended Multinomial Processing Tree Models: A Reply to Starns (2018).” Psychonomic Bulletin &Amp; Review 27 (3): 571–80. https://doi.org/10.3758/s13423-019-01663-0.

Heck, Daniel W, Edgar Erdfelder, and Pascal J. Kieslich. 2018. “Generalized Processing Tree Models: Jointly Modeling Discrete and Continuous Variables.” Psychometrika 83 (4): 893–918. https://doi.org/10.1007/s11336-018-9622-0.

Heck, Daniel W, and Eric-Jan Wagenmakers. 2016. “Adjusted Priors for Bayes Factors Involving Reparameterized Order Constraints.” Journal of Mathematical Psychology 73: 110–16. https://doi.org/https://doi.org/10.1016/j.jmp.2016.05.004.

Heister, Julian, Kay-Michael Würzner, and Reinhold Kliegl. 2012. “Analysing Large Datasets of Eye Movements During Reading.” Visual Word Recognition 2: 102–30.

Hem, Ingeborg Gullikstad, Geir-Arne Fuglstad, and Andrea Riebler. 2022. “makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R.” https://arxiv.org/abs/2105.09712.

Henrich, Joseph, Steven J. Heine, and Ara Norenzayan. 2010. “The Weirdest People in the World?” Behavioral and Brain Sciences 33 (2-3): 61–83. https://doi.org/10.1017/S0140525X0999152X.

Hester, Jim, Gábor Csárdi, Hadley Wickham, Winston Chang, Martin Morgan, and Dan Tenenbaum. 2021. Remotes: R Package Installation from Remote Repositories, Including ’Github’. https://CRAN.R-project.org/package=remotes.

Higgins, Julian, and Sally Green. 2008. Cochrane Handbook for Systematics Reviews of Interventions. New York: Wiley-Blackwell.

Hoffman, Matthew D., and Andrew Gelman. 2014. “The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo.” Journal of Machine Learning Research 15 (1): 1593–1623. http://dl.acm.org/citation.cfm?id=2627435.2638586.

Hsiao, Fanny Pai-Fang, and Edward Gibson. 2003. “Processing Relative Clauses in Chinese.” Cognition 90: 3–27. https://doi.org/https://doi.org/10.1016/S0010-0277(03)00124-0.

Hubel, Kerry A., Bruce Reed, E. William Yund, Timothy J. Herron, and David L. Woods. 2013. “Computerized Measures of Finger Tapping: Effects of Hand Dominance, Age, and Sex.” Perceptual and Motor Skills 116 (3): 929–52. https://doi.org/https://doi.org/10.2466/25.29.PMS.116.3.929-952.

Izrailev, Sergei. 2024. Tictoc: Functions for Timing R Scripts, as Well as Implementations of "Stack" and "Stacklist" Structures. https://github.com/jabiru/tictoc.

Jackman, Simon. 2009. Bayesian Analysis for the Social Sciences. Vol. 846. John Wiley & Sons.

Jäger, Lena A., Felix Engelmann, and Shravan Vasishth. 2017. “Similarity-Based Interference in Sentence Comprehension: Literature review and Bayesian meta-analysis.” Journal of Memory and Language 94: 316–39. https://doi.org/https://doi.org/10.1016/j.jml.2017.01.004.

Jäger, Lena A., Daniela Mertzen, Julie A. Van Dyke, and Shravan Vasishth. 2020. “Interference Patterns in Subject-Verb Agreement and Reflexives Revisited: A Large-Sample Study.” Journal of Memory and Language 111. https://doi.org/https://doi.org/10.1016/j.jml.2019.104063.

JASP Team. 2019. “JASP (Version 0.11.1)[Computer software].” https://jasp-stats.org/.

Jaynes, Edwin T. 2003. Probability Theory: The Logic of Science. Cambridge University Press.

Jeffreys, Harold. 1939. Theory of Probability. Oxford: Clarendon Press.

Johnson, Norman L, Samuel Kotz, and Narayanaswamy Balakrishnan. 1995. Continuous Univariate Distributions. Vol. 289. John Wiley & Sons.

Jurafsky, Daniel. 1996. “A Probabilistic Model of Lexical and Syntactic Access and Disambiguation.” Cognition 20: 137–94. https://doi.org/https://doi.org/10.1207/s15516709cog2002_1.

Just, Marcel Adam, and Patricia A. Carpenter. 1992. “A Capacity Theory of Comprehension: Individual Differences in Working Memory.” Psychological Review 99 (1): 122–49. https://doi.org/https://doi.org/10.1037/0033-295X.99.1.122.

Just, Marcel Adam, Patricia A. Carpenter, and S. Varma. 1999. “Computational Modeling of High-Level Cognition and Brain Function.” Human Brain Mapping 8: 128–36. https://doi.org/https://doi.org/10.1002/(SICI)1097-0193(1999)8:2/3<128::AID-HBM10>3.0.CO;2-G.

Kadane, Joseph, and Lara J. Wolfson. 1998. “Experiences in Elicitation.” Journal of the Royal Statistical Society: Series D (The Statistician) 47 (1): 3–19. https://doi.org/https://doi.org/10.1111/1467-9884.00113.

Kass, Robert E., and Joel B. Greenhouse. 1989. “Investigating Therapies of Potentially Great Benefit: ECMO: Comment: A Bayesian Perspective.” Statistical Science 4 (4): 310–17. https://doi.org/https://www.jstor.org/stable/2245831.

Kass, Robert E., and Adrian E. Raftery. 1995. “Bayes Factors.” Journal of the American Statistical Association 90 (430): 773–95. https://doi.org/10.1080/01621459.1995.10476572.

Kerns, G. J. 2014. Introduction to Probability and Statistics Using R. Second Edition.

Keuleers, Emmanuel, Paula Lacey, Kathleen Rastle, and Marc Brysbaert. 2012. “The British Lexicon Project: Lexical Decision Data for 28,730 Monosyllabic and Disyllabic English Words.” Behavior Research Methods 44 (1): 287–304. https://doi.org/https://doi.org/10.3758/s13428-011-0118-4.

Kim, Shinyoung, Hyunji Moon, Martin Modrák, and Teemu Säilynoja. 2024. SBC: Simulation Based Calibration for Rstan/Cmdstanr Models. https://hyunjimoon.github.io/SBC/.

Klauer, Karl Christoph, and David Kellen. 2018a. “RT-MPTs: Process Models for Response-Time Distributions Based on Multinomial Processing Trees with Applications to Recognition Memory.” Journal of Mathematical Psychology 82: 111–30. https://doi.org/https://doi.org/10.1016/j.jmp.2017.12.003.

———. 2018b. “RT-Mpts: Process Models for Response-Time Distributions Based on Multinomial Processing Trees with Applications to Recognition Memory.” Journal of Mathematical Psychology 82 (February): 111–30. https://doi.org/10.1016/j.jmp.2017.12.003.

Kolmogorov, Andreı̆ Nikolaevich. 1933. Foundations of the Theory of Probability: Second English Edition. Courier Dover Publications.

Koster, Jeremy, and Richard McElreath. 2017. “Multinomial Analysis of Behavior: Statistical Methods.” Behavioral Ecology and Sociobiology 71 (9): 138. https://doi.org/10.1007/s00265-017-2363-8.

Kruschke, John K. 2014. Doing Bayesian Data Analysis: A tutorial with R, JAGS, and Stan. Academic Press.

Kruschke, John K., and Torrin M. Liddell. 2018. “The Bayesian New Statistics: Hypothesis Testing, Estimation, Meta-Analysis, and Power Analysis from a Bayesian Perspective.” Psychonomic Bulletin & Review 25 (1): 178–206. https://doi.org/https://doi.org/10.3758/s13423-016-1221-4.

Kutas, Marta, and Kara D. Federmeier. 2011. “Thirty Years and Counting: Finding Meaning in the N400 Componentof the Event-Related Brain Potential (ERP).” Annual Review of Psychology 62 (1): 621–47. https://doi.org/10.1146/annurev.psych.093008.131123.

Kutas, Marta, and Steven A. Hillyard. 1980. “Reading Senseless Sentences: Brain Potentials Reflect Semantic Incongruity.” Science 207 (4427): 203–5. https://doi.org/10.1126/science.7350657.

———. 1984. “Brain Potentials During Reading Reflect Word Expectancy and Semantic Association.” Nature 307 (5947): 161–63. https://doi.org/10.1038/307161a0.

Lago, Sol, Diego Shalom, Mariano Sigman, Ellen F. Lau, and Colin Phillips. 2015. “Agreement Processes in Spanish Comprehension.” Journal of Memory and Language 82: 133–49. https://doi.org/https://doi.org/10.1016/j.jml.2015.02.002.

Laird, John E. 2019. The Soar Cognitive Architecture. MIT Press.

Laird, Nan M., and James H. Ware. 1982. “Random-Effects Models for Longitudinal Data.” Biometrics, 963–74. https://doi.org/https://doi.org/10.2307/2529876.

Lambert, Ben. 2018. A Student’s Guide to Bayesian Statistics. London, UK: Sage.

Landau, William Michael. 2021. “The Stantargets R Package: A Workflow Framework for Efficient Reproducible Stan-Powered Bayesian Data Analysis Pipelines.” Journal of Open Source Software 6 (60): 3193. https://doi.org/10.21105/joss.03193.

Laurinavichyute, Anna. 2020. “Similarity-Based Interference and Faulty Encoding Accounts of Sentence Processing.” Dissertation, University of Potsdam. https://publishup.uni-potsdam.de/frontdoor/index/index/docId/50966.

Lee, Michael D, ed. 2011a. “Special Issue on Hierarchical Bayesian Models.” Journal of Mathematical Psychology 55 (1). https://www.sciencedirect.com/journal/journal-of-mathematical-psychology/vol/55/issue/1.

———. 2011b. “How Cognitive Modeling Can Benefit from Hierarchical Bayesian Models.” Journal of Mathematical Psychology 55 (1): 1–7. https://doi.org/10.1016/j.jmp.2010.08.013.

Lee, Michael D, Jason R. Bock, Isaiah Cushman, and William R. Shankle. 2020. “An Application of Multinomial Processing Tree Models and Bayesian Methods to Understanding Memory Impairment.” Journal of Mathematical Psychology 95: 102328. https://doi.org/https://doi.org/10.1016/j.jmp.2020.102328.

Lee, Michael D, Amy H Criss, Berna Devezer, Christopher Donkin, Alexander Etz, Fábio P Leite, Dora Matzke, et al. 2019. “Robust Modeling in Cognitive Science.” Computational Brain & Behavior 2: 141–53.

Lee, Michael D, and Eric-Jan Wagenmakers. 2014. Bayesian Cognitive Modeling: A Practical Course. Cambridge University Press.

Lee, Peter M. 2012. Bayesian Statistics: An Introduction. John Wiley & Sons.

Levy, Dan. 2021. Maxims for Thinking Analytically: The Wisdom of Legendary Harvard Professor Richard Zeckhauser. Dan Levy.

Levy, Deborah L., Philip S. Holzman, Steven Matthysse, and Nancy R. Mendell. 1993. “Eye Tracking Dysfunction and Schizophrenia: A Critical Perspective.” Schizophrenia Bulletin 19 (3): 461–536. https://doi.org/https://doi.org/10.1093/schbul/19.3.461.

Lewis, Richard L., and Shravan Vasishth. 2005. “An Activation-Based Model of Sentence Processing as Skilled Memory Retrieval.” Cognitive Science 29: 1–45. https://doi.org/ 10.1207/s15516709cog0000_25.

Lidstone, George James. 1920. “Note on the General Case of the Bayes-Laplace Formula for Inductive or a Posteriori Probabilities.” Transactions of the Faculty of Actuaries 8 (182-192): 13.

Limpert, Eckhard, Werner A. Stahel, and Markus Abbt. 2001. “Log-Normal Distributions Across the Sciences: Keys and Clues.” BioScience 51 (5): 341. https://doi.org/10.1641/0006-3568(2001)051[0341:LNDATS]2.0.CO;2.

Lindgren, Finn, and Håvard Rue. 2015. “Bayesian Spatial Modelling with R-INLA.” Journal of Statistical Software 63 (1): 1–25. https://doi.org/ 10.18637/jss.v063.i19.

Lindley, Dennis V. 1991. Making Decisions. Second. John Wiley & Sons.

Lissón, Paula, Dario Paape, Dorothea Pregla, Frank Burchert, Nicole Stadie, and Shravan Vasishth. 2023. “Similarity-Based Interference in Sentence Comprehension in Aphasia: A Computational Evaluation of Two Models of Cue-Based Retrieval.” Computational Brain and Behavior. https://doi.org/10.1007/s42113-023-00168-3.

Lissón, Paula, Dorothea Pregla, Bruno Nicenboim, Dario Paape, Mick van het Nederend, Frank Burchert, Nicole Stadie, David Caplan, and Shravan Vasishth. 2021. “A Computational Evaluation of Two Models of Retrieval Processes in Sentence Processing in Aphasia.” Cognitive Science 45 (4): e12956. https://onlinelibrary.wiley.com/doi/full/10.1111/cogs.12956.

Loftus, Geoffrey R. 1978. “On Interpretation of Interactions.” Memory & Cognition 6 (3): 312–19.

Logačev, Pavel, and Noyan Dokudan. 2021. “A Multinomial Processing Tree Model of RC Attachment.” In Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 39–47. Online: Association for Computational Linguistics. https://www.aclweb.org/anthology/2021.cmcl-1.4.

Logačev, Pavel, and Shravan Vasishth. 2016. “A Multiple-Channel Model of Task-Dependent Ambiguity Resolution in Sentence Comprehension.” Cognitive Science 40 (2): 266–98. https://doi.org/10.1111/cogs.12228.

Luce, R. Duncan. 1991. Response Times: Their Role in Inferring Elementary Mental Organization. Oxford University Press.

Lunn, David J., Chris Jackson, David J. Spiegelhalter, Nichola G. Best, and Andrew Thomas. 2012. The BUGS Book: A Practical Introduction to Bayesian Analysis. Vol. 98. CRC Press.

Lunn, David J., Andrew Thomas, Nichola G. Best, and David J. Spiegelhalter. 2000. “WinBUGS-A Bayesian Modelling Framework: Concepts, Structure, and Extensibility.” Statistics and Computing 10 (4): 325–37.

Ly, Alexander, Alexander Etz, Maarten Marsman, and Eric-Jan Wagenmakers. 2019. “Replication Bayes Factors from Evidence Updating.” Behavior Research Methods 51: 2498–2508.

Lynch, Scott Michael. 2007. Introduction to Applied Bayesian Statistics and Estimation for Social Scientists. New York, NY: Springer.

Maanen, Leendert van, Dimitris Katsimpokis, and A. Dilene van Campen. 2018. “Fast and Slow Errors: Logistic Regression to Identify Patterns in Accuracy–Response Time Relationships.” Behavior Research Methods 51 (5): 2378–89. https://doi.org/10.3758/s13428-018-1110-z.

MacKay, David J. C. 2003. Information Theory, Inference and Learning Algorithms. Cambridge, UK: Cambridge University Press.

MacLeod, Colin M. 1991. “Half a Century of Research on the Stroop Effect: An Integrative Review.” Psychological Bulletin 109 (2): 163. https://doi.org/https://doi.org/10.1037/0033-2909.109.2.163.

Mahajan, Sanjoy. 2010. Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving. Cambridge, MA: The MIT Press.

———. 2014. The Art of Insight in Science and Engineering: Mastering Complexity. Cambridge, MA: The MIT Press.

Mahowald, Kyle, Ariel James, Richard Futrell, and Edward Gibson. 2016. “A Meta-Analysis of Syntactic Priming in Language Production.” Journal of Memory and Language 91: 5–27. https://doi.org/https://doi.org/10.1016/j.jml.2016.03.009.

Makowski, Dominique, Mattan S. Ben-Shachar, and Daniel Lüdecke. 2019. “BayestestR: Describing Effects and Their Uncertainty, Existence and Significance Within the Bayesian Framework.” Journal of Open Source Software 4 (40): 1541. https://doi.org/https://doi.org/10.21105/joss.01541.

Mathot, Sebastiaan. 2018. “Pupillometry: Psychology, Physiology, and Function.” Journal of Cognition 1 (1): 16. https://doi.org/10.5334/joc.18.

Matuschek, Hannes, Reinhold Kliegl, Shravan Vasishth, R. Harald Baayen, and Douglas M. Bates. 2017. “Balancing Type I Error and Power in Linear Mixed Models.” Journal of Memory and Language 94: 305–15. https://doi.org/10.1016/j.jml.2017.01.001.

Matzke, Dora, Conor V. Dolan, William H. Batchelder, and Eric-Jan Wagenmakers. 2015. “Bayesian Estimation of Multinomial Processing Tree Models with Heterogeneity in Participants and Items.” Psychometrika 80 (1): 205–35. https://doi.org/10.1007/s11336-013-9374-9.

Maxwell, Scott E, Harold D Delaney, and Ken Kelley. 2017. Designing Experiments and Analyzing Data: A Model Comparison Perspective. New York, NY: Routledge.

McClelland, James L. 2009. “The Place of Modeling in Cognitive Science.” Topics in Cognitive Science 1 (1): 11–38. https://doi.org/10.1111/j.1756-8765.2008.01003.x.

McClelland, James L., and David E. Rumelhart. 1989. Explorations in Parallel Distributed Processing: A Handbook of Models, Programs, and Exercises. MIT Press.

McCullagh, Peter, and J. A. Nelder. 2019. Generalized Linear Models. Second Edition. Boca Raton, Florida: Chapman; Hall/CRC.

McElreath, Richard. 2020. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. Boca Raton, Florida: Chapman; Hall/CRC.

———. 2021. Rethinking: Statistical Rethinking Book Package.

McElree, Brian. 2000. “Sentence Comprehension Is Mediated by Content-Addressable Memory Structures.” Journal of Psycholinguistic Research 29 (2): 111–23. https://doi.org/https://doi.org/10.1023/A:1005184709695.

McLean, Mathew William. 2017. “RefManageR: Import and Manage Bibtex and Biblatex References in R.” The Journal of Open Source Software. https://doi.org/10.21105/joss.00338.

Meehl, Paul E. 1997. “The Problem Is Epistemology, Not Statistics: Replace Significance Tests by Confidence Intervals and Quantify Accuracy of Risky Numerical Predictions.” In What If There Were No Significance Tests?, edited by L. L. Harlow, S. A. Mulaik, and J. H. Steiger. Mahwah, New Jersey: Erlbaum.

Meng, Xiao-li, and Wing Hung Wong. 1996. “Simulating Ratios of Normalizing Constants via a Simple Identity: A Theoretical Exploration.” Statistica Sinica, 831–60. https://doi.org/http://www.jstor.org/stable/24306045.

Miller, I., and M. Miller. 2004. John E. Freund’s Mathematical Statistics with Applications. Upper Saddle River, NJ: Prentice Hall.

Modrák, Martin, Angie H. Moon, Shinyoung Kim, Paul-Christian Bürkner, Niko Huurre, Kateřina Faltejsková, Andrew Gelman, and Aki Vehtari. 2023. “Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity.” Bayesian Analysis, 1–28. https://doi.org/10.1214/23-BA1404.

Monnahan, Cole C., James T. Thorson, and Trevor A. Branch. 2017. “Faster Estimation of Bayesian Models in Ecology Using Hamiltonian Monte Carlo.” Edited by Robert B. O’Hara. Methods in Ecology and Evolution 8 (3): 339–48. https://doi.org/10.1111/2041-210X.12681.

Montgomery, D. C., E. A. Peck, and G. G. Vining. 2012. An Introduction to Linear Regression Analysis. 5th ed. Hoboken, NJ: Wiley.

Morin, David J. 2016. Probability: For the Enthusiastic Beginner. Createspace Independent Publishing Platform.

Müller, Kirill, and Hadley Wickham. 2020. Tibble: Simple Data Frames. https://CRAN.R-project.org/package=tibble.

Navarro, Danielle J. 2015. Learning Statistics with R. https://learningstatisticswithr.com.

———. 2019. “Between the Devil and the Deep Blue Sea: Tensions Between Scientific Judgement and Statistical Model Selection.” Computational Brain & Behavior 2 (1): 28–34. https://doi.org/10.1007/s42113-018-0019-z.

Neal, Radford M. 2011. “MCMC Using Hamiltonian Dynamics.” In Handbook of Markov Chain Monte Carlo, edited by Steve Brooks, Andrew Gelman, Galin Jones, and Xiao-Li Meng. Taylor & Francis. https://doi.org/10.1201/b10905-10.

———. 2003. “Slice Sampling.” Annals of Statistics 31 (3): 705–67. https://doi.org/10.1214/aos/1056562461.

Nelson, Peter R. 1981. “The Algebra of Random Variables.” Technometrics 23 (2): 197–98. https://doi.org/10.1080/00401706.1981.10486266.

Newall, Philip W. S., Taylor R. Hayes, Henrik Singmann, Leonardo Weiss-Cohen, Elliot A. Ludvig, and Lukasz Walasek. 2023. “Evaluation of the ’Take Time to Think’ Safer Gambling Message: A Randomised, Online Experimental Study.” Behavioural Public Policy, 1–18. https://doi.org/10.1017/bpp.2023.2.

Newell, Allen. 1990. Unified Theories of Cognition. Cambridge: MA: Harvard University Press.

Nicenboim, Bruno. 2018. “The Implementation of a Model of Choice: The (Truncated) Linear Ballistic Accumulator.” In StanCon. Aalto University, Helsinki, Finland. https://doi.org/10.5281/zenodo.1465990.

Nicenboim, Bruno, Pavel Logačev, Carolina Gattei, and Shravan Vasishth. 2016. “When High-Capacity Readers Slow down and Low-Capacity Readers Speed up: Working Memory and Locality Effects.” Frontiers in Psychology 7 (280). https://doi.org/10.3389/fpsyg.2016.00280.

Nicenboim, Bruno, Timo B. Roettger, and Shravan Vasishth. 2018. “Using Meta-Analysis for Evidence Synthesis: The case of incomplete neutralization in German.” Journal of Phonetics 70: 39–55. https://doi.org/https://doi.org/10.1016/j.wocn.2018.06.001.

Nicenboim, Bruno, Daniel J. Schad, and Shravan Vasishth. 2024. bcogsci: Data and Models for the Book “An Introduction to Bayesian Data Analysis for Cognitive Science”.

Nicenboim, Bruno, and Shravan Vasishth. 2016. “Statistical methods for linguistic research: Foundational Ideas - Part II.” Language and Linguistics Compass 10 (11): 591–613. https://doi.org/10.1111/lnc3.12207.

———. 2018. “Models of Retrieval in Sentence Comprehension: A Computational Evaluation Using Bayesian Hierarchical Modeling.” Journal of Memory and Language 99: 1–34. https://doi.org/10.1016/j.jml.2017.08.004.

Nicenboim, Bruno, Shravan Vasishth, Felix Engelmann, and Katja Suckow. 2018. “Exploratory and Confirmatory Analyses in Sentence Processing: A case study of number interference in German.” Cognitive Science 42 (S4). https://doi.org/10.1111/cogs.12589.

Nicenboim, Bruno, Shravan Vasishth, and Frank Rösler. 2020. “Are Words Pre-Activated Probabilistically During Sentence Comprehension? Evidence from New Data and a Bayesian Random-Effects Meta-Analysis Using Publicly Available Data.” Neuropsychologia 142. https://doi.org/10.1016/j.neuropsychologia.2020.107427.

Nieuwland, Mante S., Stephen Politzer-Ahles, Evelien Heyselaar, Katrien Segaert, Emily Darley, Nina Kazanina, Sarah Von Grebmer Zu Wolfsthurn, et al. 2018. “Large-Scale Replication Study Reveals a Limit on Probabilistic Prediction in Language Comprehension.” eLife 7. https://doi.org/10.7554/eLife.33468.

Normand, S. L. T. 1999. “Tutorial in Biostatistics Meta-Analysis: Formulating, Evaluating, Combining, and Reporting.” Statistics in Medicine 18 (3): 321–59. https://doi.org/https://doi.org/10.1002/(SICI)1097-0258(19990215)18:3<321::AID-SIM28>3.0.CO;2-P.

Nosek, Brian A., Tom E Hardwicke, Hannah Moshontz, Aurélien Allard, Katherine S Corker, Anna Dreber, Fiona Fidler, et al. 2022. “Replicability, Robustness, and Reproducibility in Psychological Science.” Annual Review of Psychology 73: 719–48. https://doi.org/https://doi.org/10.1146/annurev-psych-020821-114157.

Oakley, Jeremy E. 2024. SHELF: Tools to Support the Sheffield Elicitation Framework. https://github.com/OakleyJ/SHELF.

Oberauer, Klaus. 2019. “Working Memory Capacity Limits Memory for Bindings.” Journal of Cognition 2 (1): 40. https://doi.org/10.5334/joc.86.

Oberauer, Klaus, and Reinhold Kliegl. 2001. “Beyond Resources: Formal Models of Complexity Effects and Age Differences in Working Memory.” European Journal of Cognitive Psychology 13 (1-2): 187–215. https://doi.org/10.1080/09541440042000278.

Oberauer, Klaus, Philipp Musfeld, and Frederik Aust. 2024. “The Stability of Bayes-Factor Estimates for Testing Effects in Generalized Linear Models: Bridge Sampling and Savage–Dickey Ratio.”

O’Hagan, Anthony, Caitlin E. Buck, Alireza Daneshkhah, J. Richard Eiser, Paul H. Garthwaite, David J. Jenkinson, Jeremy E. Oakley, and Tim Rakow. 2006. Uncertain Judgements: Eliciting Experts’ Probabilities. John Wiley & Sons.

O’Hagan, Anthony, and Jonathan J. Forster. 2004. “Kendall’s Advanced Theory of Statistics, Vol. 2B: Bayesian Inference.” Wiley.

Ollman, Robert. 1966. “Fast Guesses in Choice Reaction Time.” Psychonomic Science 6 (4): 155–56. https://doi.org/https://doi.org/10.3758/BF03328004.

Ooms, Jeroen. 2023. pdftools: Text Extraction, Rendering and Converting of Pdf Documents. https://docs.ropensci.org/pdftools/.

Paananen, Topi, Juho Piironen, Paul-Christian Bürkner, and Aki Vehtari. 2021. “Implicitly Adaptive Importance Sampling.” Statistics and Computing 31 (2). https://doi.org/10.1007/s11222-020-09982-2.

Paape, Dario, Serine Avetisyan, Sol Lago, and Shravan Vasishth. 2021. “Modeling Misretrieval and Feature Substitution in Agreement Attraction: A Computational Evaluation.” Cognitive Science 45 (8). https://doi.org/https://doi.org/10.1111/cogs.13019.

Paape, Dario, Garrett Smith, and Shravan Vasishth. 2024. “Do Local Coherence Effects Exist in English Reduced Relative Clauses?” https://doi.org/https://doi.org/10.31219/osf.io/wpke4.

Paape, Dario, and Shravan Vasishth. 2022. “Estimating the True Cost of Garden-Pathing: A Computational Model of Latent Cognitive Processes.” Cognitive Science 46 (8): e13186. https://doi.org/https://doi.org/10.1111/cogs.13186.

Paolacci, Gabriele, Jesse Chandler, and Panagiotis G Ipeirotis. 2010. “Running Experiments on Amazon Mechanical Turk.” Judgment and Decision Making 5 (5): 411–19. https://doi.org/10.1017/S1930297500002205.

Papaspiliopoulos, Omiros, Gareth O. Roberts, and Martin Sköld. 2007. “A General Framework for the Parametrization of Hierarchical Models.” Statistical Science 22 (1): 59–73. https://doi.org/10.1214/088342307000000014.

Parmigiani, Giovanni, and Lurdes Inoue. 2009. Decision Theory: Principles and Approaches. John Wiley & Sons.

Phillips, Colin, Matthew W. Wagers, and Ellen F. Lau. 2011. “Grammatical Illusions and Selective Fallibility in Real-Time Language Comprehension.” In Experiments at the Interfaces, 37:147–80. Emerald Bingley, UK.

Picton, T. W., S. Bentin, P. Berg, E. Donchin, Steven A. Hillyard, R. Johnson J. R., G. A. Miller, et al. 2000. “Guidelines for Using Human Event-Related Potentials to Study Cognition: Recording Standards and Publication Criteria.” Psychophysiology 37 (2): 127–52. https://doi.org/10.1111/1469-8986.3720127.

Piironen, Juho, Markus Paasiniemi, and Aki Vehtari. 2020. “Projective inference in high-dimensional problems: Prediction and feature selection.” Electronic Journal of Statistics 14 (1): 2155–97. https://doi.org/10.1214/20-EJS1711.

Piironen, Juho, and Aki Vehtari. 2017. “Comparison of Bayesian Predictive Methods for Model Selection.” Statistics and Computing 27 (3): 711–35. https://doi.org/10.1007/s11222-016-9649-y.

Pinheiro, José C, and Douglas M. Bates. 2000. Mixed-Effects Models in S and S-PLUS. New York: Springer-Verlag.

Pitt, Mark A., and In Jae Myung. 2002. “When a Good Fit Can Be Bad.” Trends in Cognitive Sciences 6 (10): 421–25. https://doi.org/10.1016/S1364-6613(02)01964-2.

Plummer, Martin. 2016. “JAGS Version 4.2.0 User Manual.”

———. 2022. “Simulation-Based Bayesian Analysis.” Annual Review of Statistics and Its Application.

Port, Robert F., and Timothy Van Gelder. 1995. Mind as Motion: Explorations in the Dynamics of Cognition. MIT Press.

Pullin, Jeffrey, Lyle Gurrin, and Damjan Vukcevic. 2021. “Statistical Models of Repeated Categorical Ratings: The R Package Rater.” http://arxiv.org/abs/2010.09335.

Pylyshyn, Zenon W., and Ron W. Storm. 1988. “Tracking Multiple Independent Targets: Evidence for a Parallel Tracking Mechanism.” Spatial Vision 3 (3): 179–97. https://doi.org/10.1163/156856888X00122.

Rabe, Maximilian M., Johan Chandra, André Krügel, Stefan A. Seelig, Shravan Vasishth, and Ralf Engbert. 2021. “A Bayesian Approach to Dynamical Modeling of Eye-Movement Control in Reading of Normal, Mirrored, and Scrambled Texts.” Psychological Review. https://doi.org/10.1037/rev0000268.

Rabe, Maximilian M., Dario Paape, Daniela Metzen, Shravan Vasishth, and Ralf Engbert. 2024. “SEAM: An Integrated Activation-Coupled Model of Sentence Processing and Eye Movements in Reading.” Journal of Memory and Language. https://doi.org/https://doi.org/10.1016/j.jml.2023.104496.

Rabe, Maximilian M., Shravan Vasishth, Sven Hohenstein, Reinhold Kliegl, and Daniel J. Schad. 2020a. “hypr: An R Package for Hypothesis-Driven Contrast Coding.” Journal of Open Source Software 5 (48): 2134.

———. 2020b. “Hypr: An R Package for Hypothesis-Driven Contrast Coding.” The Journal of Open Source Software. https://doi.org/10.21105/joss.02134.

Ratcliff, Roger. 1978. “A Theory of Memory Retrieval.” Psychological Review 85 (2): 59. https://doi.org/ https://doi.org/10.1037/0033-295X.

Ratcliff, Roger, Philip L. Smith, Scott D. Brown, and Gail McKoon. 2016. “Diffusion Decision Model: Current Issues and History.” Trends in Cognitive Sciences 20 (4): 260–81. https://doi.org/https://doi.org/10.1016/j.tics.2016.01.007.

Ratcliff, Roger, and Francis Tuerlinckx. 2002. “Estimating Parameters of the Diffusion Model: Approaches to Dealing with Contaminant Reaction Times and Parameter Variability.” Psychonomic Bulletin & Review 9 (3): 438–81. https://doi.org/https://doi.org/10.3758/BF03196302.

Raymond, Jane E., Kimron L. Shapiro, and Karen M. Arnell. 1992. “Temporary Suppression of Visual Processing in an RSVP Task: An Attentional Blink?” Journal of Experimental Psychology: Human Perception and Performance 18 (3): 849. https://doi.org/https://doi.org/10.1037/0096-1523.18.3.849.

Rayner, K. 1998. “Eye movements in reading and information processing: 20 years of research.” Psychological Bulletin 124 (3): 372–422. https://doi.org/https://doi.org/10.1037/0033-2909.124.3.372.

R Core Team. 2023. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Reali, Florencia, and Morten H. Christiansen. 2007. “Processing of Relative Clauses Is Made Easier by Frequency of Occurrence.” Journal of Memory and Language 57 (1): 1–23. https://doi.org/https://doi.org/10.1016/j.jml.2006.08.014.

Resnick, Sidney. 2019. A Probability Path. Springer.

Ripley, Brian D. 2023. MASS: Support Functions and Datasets for Venables and Ripley’s MASS. http://www.stats.ox.ac.uk/pub/MASS4/.

Robert, Christian P. 2022. “50 Shades of Bayesian Testing of Hypotheses.” In Advancements in Bayesian Methods and Implementation, edited by Arni S. R. Srinivasa Rao, G. Alastair Young, and C. R. Rao, 47:103–20. Handbook of Statistics. Elsevier. https://doi.org/https://doi.org/10.1016/bs.host.2022.06.003.

Roberts, Seth, and Harold Pashler. 2000. “How Persuasive Is a Good Fit? A Comment on Theory Testing.” Psychological Review 107 (2): 358–67. https://doi.org/https://doi.org/10.1037/0033-295X.107.2.358.

Rodriguez, Josue E., Donald R. Williams, and Philippe Rast. 2022. “Who Is and Is Not ‘Average’? Random Effects Selection with Spike-and-Slab Priors.” Psychological Methods. https://doi.org/https://doi.org/10.1037/met0000535.

Rosenthal, Robert, Ralph L. Rosnow, and Donald B. Rubin. 2000. Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach. Cambridge University Press.

Ross, Sheldon. 2002. A First Course in Probability. Pearson Education.

Rouder, Jeffrey N. 2005. “Are Unshifted Distributional Models Appropriate for Response Time?” Psychometrika 70 (2): 377–81. https://doi.org/10.1007/s11336-005-1297-7.

Rouder, Jeffrey N, Julia M. Haaf, and Joachim Vandekerckhove. 2018. “Bayesian Inference for Psychology, Part IV: Parameter Estimation and Bayes Factors.” Psychonomic Bulletin & Review 25 (1): 102–13. https://doi.org/https://doi.org/10.3758/s13423-017-1420-7.

Rouder, Jeffrey N, Richard D Morey, Paul L Speckman, and Jordan M Province. 2012. “Default Bayes Factors for Anova Designs.” Journal of Mathematical Psychology 56 (5): 356–74.

Rouder, Jeffrey N, Jordan M Province, Richard D Morey, Pablo Gomez, and Andrew Heathcote. 2015. “The Lognormal Race: A Cognitive-Process Model of Choice and Latency with Desirable Psychometric Properties.” Psychometrika 80 (2): 491–513. https://doi.org/10.1007/s11336-013-9396-3.

Rouder, Jeffrey N, Paul L Speckman, Dongchu Sun, Richard D Morey, and Geoffrey Iverson. 2009. “Bayesian t Tests for Accepting and Rejecting the Null Hypothesis.” Psychonomic Bulletin & Review 16 (2): 225–37. https://doi.org/https://doi.org/10.3758/PBR.16.2.225.

Royall, Richard. 1997. Statistical Evidence: A Likelihood Paradigm. New York: Chapman; Hall, CRC Press.

Safavi, Molood Sadat, Samar Husain, and Shravan Vasishth. 2016. “Dependency Resolution Difficulty Increases with Distance in Persian Separable Complex Predicates: Implications for Expectation and Memory-Based Accounts.” Frontiers in Psychology 7 (403). https://doi.org/10.3389/fpsyg.2016.00403.

Säilynoja, Teemu, Paul-Christian Bürkner, and Aki Vehtari. 2022. “Graphical Test for Discrete Uniformity and Its Applications in Goodness-of-Fit Evaluation and Multiple Sample Comparison.” Statistics and Computing 32 (2): 1–21. https://doi.org/https://doi.org/10.1007/s11222-022-10090-6.

Salas, Saturnino L., Garret J. Etgen, and Einar Hille. 2003. Calculus: One and Several Variables. Ninth. John Wiley & Sons.

Salvatier, John, Thomas V. Wiecki, and Christopher Fonnesbeck. 2016. “Probabilistic Programming in Python Using PyMC3.” PeerJ Computer Science 2 (April): e55. https://doi.org/10.7717/peerj-cs.55.

Schad, Daniel J., Michael J. Betancourt, and Shravan Vasishth. 2019. “Toward a Principled Bayesian Workflow in Cognitive Science.” arXiv Preprint. https://doi.org/10.48550/ARXIV.1904.12765.

———. 2020. “Toward a Principled Bayesian Workflow in Cognitive Science.” Psychological Methods 26 (1): 103–26. https://doi.org/https://doi.org/10.1037/met0000275.

Schad, Daniel J., Bruno Nicenboim, Paul-Christian Bürkner, Michael J. Betancourt, and Shravan Vasishth. 2021. “Workflow Techniques for the Robust Use of Bayes Factors.” arXiv Preprint arXiv:2103.08744.

Schad, Daniel J., Bruno Nicenboim, and Shravan Vasishth. 2023. “Data Aggregation Can Lead to Biased Inferences in Bayesian Linear Mixed Models and Bayesian Analysis of Variance.” Psychological Methods. https://doi.org/https://doi.org/10.1037/met0000621.

Schad, Daniel J., Shravan Vasishth, Sven Hohenstein, and Reinhold Kliegl. 2019. “How to Capitalize on a Priori Contrasts in Linear (Mixed) Models: A Tutorial.” Journal of Memory and Language 110. https://doi.org/10.1016/j.jml.2019.104038.

———. 2020. “How to Capitalize on a Priori Contrasts in Linear (Mixed) Models: A Tutorial.” Journal of Memory and Language 110 (February): 104038. https://doi.org/10/gf9tjp.

Schmidt, Oliver, Edgar Erdfelder, and Daniel W Heck. 2023. “How to Develop, Test, and Extend Multinomial Processing Tree Models: A Tutorial.” Psychological Methods, July. https://doi.org/10.1037/met0000561.

Schönbrodt, Felix D., and Eric-Jan Wagenmakers. 2018. “Bayes Factor Design Analysis: Planning for Compelling Evidence.” Psychonomic Bulletin & Review 25 (1): 128–42. https://doi.org/https://doi.org/10.3758/s13423-017-1230-y.

Seber, George A. F., and Allen J. Lee. 2003. Linear Regression Analysis. 2nd Edition. Hoboken, NJ: John Wiley; Sons.

Sekulovski, Nikola, Maarten Marsman, and Eric-Jan Wagenmakers. 2024. “A Good Check on the Bayes Factor,” March. https://doi.org/10.31234/osf.io/59gj8.

Shiffrin, Richard M, Michael D Lee, Woojae Kim, and Eric-Jan Wagenmakers. 2008. “A Survey of Model Evaluation Approaches with a Tutorial on Hierarchical Bayesian Methods.” Cognitive Science: A Multidisciplinary Journal 32 (8): 1248–84. https://doi.org/10.1080/03640210802414826.

Sidi, Jonathan, and Daniel Polhamus. 2020. TexPreview: Compile and Preview Snippets of “Latex”. https://CRAN.R-project.org/package=texPreview.

Simpson, Daniel P., Håvard Rue, Andrea Riebler, Thiago G. Martins, and Sigrunn H. Sørbye. 2017. “Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors.” Statistical Science 32 (1): 1–28. https://doi.org/10.1214/16-STS576.

Singmann, Henrik, Ben Bolker, Jake Westfall, Frederik Aust, and Mattan S. Ben-Shachar. 2020. Afex: Analysis of Factorial Experiments. https://CRAN.R-project.org/package=afex.

Sivula, Tuomas, Måns Magnusson, and Aki Vehtari. 2020. “Uncertainty in Bayesian Leave-One-Out Cross-Validation Based Model Comparison.” arXiv Preprint arXiv:2008.10296.

Smith, Jared B., and William H. Batchelder. 2010. “Beta-MPT: Multinomial Processing Tree Models for Addressing Individual Differences.” Journal of Mathematical Psychology 54 (1): 167–83.

Soetaert, Karline, and Peter M. J. Herman. 2009. A Practical Guide to Ecological Modelling. Using R as a Simulation Platform. Springer.

Sorensen, Tanner, Sven Hohenstein, and Shravan Vasishth. 2016. “Bayesian Linear Mixed Models Using Stan: A Tutorial for Psychologists, Linguists, and Cognitive Scientists.” Quantitative Methods for Psychology 12 (3): 175–200.

Spector, Robert H. 1990. “The Pupils.” In Clinical Methods: The History, Physical, and Laboratory Examinations, edited by H. Kenneth Walker, W. Dallas Hall, and J. Willis Hurst, 3rd ed. Boston: Butterworths.

Spector, Tim D., and Simon G. Thompson. 1991. “The Potential and Limitations of Meta-Analysis.” Journal of Epidemiology and Community Health 45 (2): 89.

Spiegelhalter, David J., Keith R. Abrams, and Jonathan P. Myles. 2004. Bayesian Approaches to Clinical Trials and Health-Care Evaluation. Vol. 13. John Wiley & Sons.

Spiegelhalter, David J., Laurence S. Freedman, and Mahesh K. B. Parmar. 1994. “Bayesian Approaches to Randomized Trials.” Journal of the Royal Statistical Society. Series A (Statistics in Society) 157 (3): 357–416.

Spurdle, Abby. 2020. Barsurf: Heatmap-Related Plots and Smooth Multiband Color Interpolation. https://CRAN.R-project.org/package=barsurf.

———. 2021. Bivariate: Bivariate Probability Distributions. https://sites.google.com/site/spurdlea/r.

Spurdle, Abby, and Emil Bode. 2020. Intoo: Minimal Language-Like Extensions. https://CRAN.R-project.org/package=intoo.

Stan Development Team. 2024. “Stan Modeling Language Users Guide and Reference Manual, Version 2.32.” https://mc-stan.org/docs/2_35/.

Steyer, Rolf, and Werner Nagel. 2017. Probability and Conditional Expectation: Fundamentals for the Empirical Sciences. Vol. 5. John Wiley & Sons.

Stone, Kate, Bruno Nicenboim, Shravan Vasishth, and Frank Roesler. 2023. “Understanding the Effects of Constraint and Predictability in ERP.” Neurobiology of Language. https://doi.org/10.1162/nol_a_00094.

Stroop, J. Ridley. 1935. “Studies of Interference in Serial Verbal Reactions.” Journal of Experimental Psychology 18 (6): 643.

Štrumbelj, Erik, Alexandre Bouchard-Côté, Jukka Corander, Andrew Gelman, Håvard Rue, Lawrence Murray, Henri Pesonen, Martin Plummer, and Aki Vehtari. 2024. “Past, Present and Future of Software for Bayesian Inference.” Statistical Science 39 (1): 46–61.

Sutton, Alexander J., Nicky J. Welton, Nicola Cooper, Keith R. Abrams, and A. E. Ades. 2012. Evidence Synthesis for Decision Making in Healthcare. Vol. 132. John Wiley & Sons.

Szollosi, Aba, David Kellen, Danielle J. Navarro, Richard M Shiffrin, Iris van Rooij, Trisha Van Zandt, and Christopher Donkin. 2020. “Is Preregistration Worthwhile?” Trends in Cognitive Sciences 24 (2): 94–95.

Tabor, Whitney, Bruno Galantucci, and Daniel Richardson. 2004. “Effects of Merely Local Syntactic Coherence on Sentence Processing.” Journal of Memory and Language 50: 355–70.

Tabor, Whitney, and Michael K. Tanenhaus. 1999. “Dynamical Models of Sentence Processing.” Cognitive Science 23 (4): 491–515.

Talts, Sean, Michael J. Betancourt, Daniel P. Simpson, Aki Vehtari, and Andrew Gelman. 2018. “Validating Bayesian Inference Algorithms with Simulation-Based Calibration.” arXiv Preprint arXiv:1804.06788.

Tendeiro, Jorge N., Henk A. L. Kiers, Rink Hoekstra, Tsz Keung Wong, and Richard D Morey. 2023. “Diagnosing the Misuse of the Bayes Factor in Applied Research.” Advances in Methods and Practices in Psychological Science.

Tetlock, Philip, and Dan Gardner. 2015. Superforecasting: The Art and Science of Prediction. Crown Publishers.

Turner, Brandon M, Per B. Sederberg, Scott D. Brown, and Mark Steyvers. 2013. “A Method for Efficiently Sampling from Distributions with Correlated Dimensions.” Psychological Methods 18 (3): 368.

Turner, R. M., David J. Spiegelhalter, G. Smith, and Simon G. Thompson. 2008. “Bias Modelling in Evidence Synthesis.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 172 (1): 21–47. https://doi.org/https://doi.org/10.1111/j.1467-985X.2008.00547.x.

Tversky, Amos, and Daniel Kahneman. 1983. “Extensional Versus Intuitive Reasoning: The Conjunction Fallacy in Probability Judgment.” Psychological Review 90 (4): 293. https://doi.org/https://doi.org/10.1037/0033-295X.90.4.293.

Ulrich, Rolf, and Jeff Miller. 1993. “Information Processing Models Generating Lognormally Distributed Reaction Times.” Journal of Mathematical Psychology 37 (4): 513–25. https://doi.org/10.1006/jmps.1993.1032.

———. 1994. “Effects of Truncation on Reaction Time Analysis.” Journal of Experimental Psychology: General 123 (1): 34–80. https://doi.org/10/b8tsnh.

Vaidyanathan, Ramnath, Yihui Xie, J. J. Allaire, Joe Cheng, and Kenton Russell. 2023. htmlwidgets: HTML Widgets for R. https://github.com/ramnathv/htmlwidgets.

van Doorn, Johnny, Frederik Aust, Julia M. Haaf, Angelika Stefan, and Eric-Jan Wagenmakers. 2021. “Bayes Factors for Mixed Models.” Computational Brain and Behavior. https://doi.org/https://doi.org/10.1007/s42113-021-00113-2.

Van Dyke, Julie A., and Brian McElree. 2011. “Cue-Dependent Interference in Comprehension.” Journal of Memory and Language 65 (3): 247–63. https://doi.org/https://doi.org/10.1016/j.jml.2011.05.002.

Vasishth, Shravan. 2015. “A Meta-Analysis of Relative Clause Processing in Mandarin Chinese Using Bias Modelling.” Master’s thesis, Sheffield, UK: School of Mathematics; Statistics, University of Sheffield. https://doi.org/https://doi.org/10.31234/osf.io/4un9k.

Vasishth, Shravan, Sven Bruessow, Richard L. Lewis, and Heiner Drenhaus. 2008. “Processing Polarity: How the Ungrammatical Intrudes on the Grammatical.” Cognitive Science 32 (4, 4): 685–712. https://doi.org/https://doi.org/10.1080/03640210802066865.

Vasishth, Shravan, Zhong Chen, Qiang Li, and Gueilan Guo. 2013. “Processing Chinese Relative Clauses: Evidence for the Subject-Relative Advantage.” PLoS ONE 8 (10): 1–14. https://doi.org/https://doi.org/10.1371/journal.pone.0077006.

Vasishth, Shravan, Nicolas Chopin, Robin Ryder, and Bruno Nicenboim. 2017. “Modelling Dependency Completion in Sentence Comprehension as a Bayesian Hierarchical Mixture Process: A Case Study Involving Chinese Relative Clauses.” In Proceedings of Cognitive Science Conference. London, UK. https://arxiv.org/abs/1702.00564v2.

Vasishth, Shravan, and Felix Engelmann. 2022. Sentence Comprehension as a Cognitive Process: A Computational Approach. Cambridge, UK: Cambridge University Press. https://books.google.de/books?id=6KZKzgEACAAJ.

Vasishth, Shravan, Lena A. Jäger, and Bruno Nicenboim. 2017. “Feature overwriting as a finite mixture process: Evidence from comprehension data.” In Proceedings of MathPsych/ICCM Conference. Warwick, UK. https://arxiv.org/abs/1703.04081.

Vasishth, Shravan, Daniela Mertzen, Lena A. Jäger, and Andrew Gelman. 2018. “The Statistical Significance Filter Leads to Overoptimistic Expectations of Replicability.” Journal of Memory and Language 103: 151–75. https://doi.org/https://doi.org/10.1016/j.jml.2018.07.004.

Vasishth, Shravan, and Bruno Nicenboim. 2016. “Statistical Methods for Linguistic Research: Foundational Ideas – Part I.” Language and Linguistics Compass 10 (8): 349–69. https://doi.org/http://dx.doi.org/10.1111/lnc3.12201.

Vasishth, Shravan, Bruno Nicenboim, Felix Engelmann, and Frank Burchert. 2019. “Computational Models of Retrieval Processes in Sentence Processing.” Trends in Cognitive Sciences 23: 968–82. https://doi.org/https://doi.org/10.1016/j.tics.2019.09.003.

Vasishth, Shravan, Daniel J. Schad, Audrey Bürki, and Reinhold Kliegl. 2021. “Linear Mixed Models for Linguistics and Psychology: A Comprehensive Introduction.” https://vasishth.github.io/Freq_CogSci/.

Vasishth, Shravan, Katja Suckow, Richard L. Lewis, and Sabine Kern. 2011. “Short-Term Forgetting in Sentence Comprehension: Crosslinguistic Evidence from Head-Final Structures.” Language and Cognitive Processes 25: 533–67. https://doi.org/https://doi.org/10.1080/01690960903310587.

Vasishth, Shravan, Himanshu Yadav, Daniel J. Schad, and Bruno Nicenboim. 2022. “Sample Size Determination for Bayesian Hierarchical Models Commonly Used in Psycholinguistics.” Computational Brain and Behavior. https://doi.org/https://doi.org/10.1007/s42113-021-00125-y.

Vehtari, Aki. 2022. “Cross-validation FAQ.” https://web.archive.org/web/20221219223947/https://avehtari.github.io/modelselection/CV-FAQ.html.

Vehtari, Aki, Andrew Gelman, and Jonah Gabry. 2017a. “Practical Bayesian Model Evaluation Using Leave-One-Out Cross-Validation and Waic.” Statistics and Computing 27 (5): 1413–32. https://doi.org/10.1007/s11222-016-9696-4.

———. 2017b. “Practical Bayesian Model Evaluation Using Leave-One-Out Cross-Validation and WAIC.” Statistics and Computing 27 (5): 1413–32. https://doi.org/10.1007/s11222-016-9696-4.

Vehtari, Aki, Andrew Gelman, Daniel P. Simpson, Bob Carpenter, and Paul-Christian Bürkner. 2021. “Rank-Normalization, Folding, and Localization: An Improved \(\widehat{R}\) for Assessing Convergence of MCMC.” Bayesian Analysis 16 (2): 667–718. https://doi.org/10.1214/20-BA1221.

Vehtari, Aki, and Jouko Lampinen. 2002. “Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities.” Neural Computation 14 (10): 2439–68. https://doi.org/10.1162/08997660260293292.

Vehtari, Aki, and Janne Ojanen. 2012. “A Survey of Bayesian Predictive Methods for Model Assessment, Selection and Comparison.” Statistical Surveys 6 (0): 142–228. https://doi.org/10.1214/12-ss102.

Vehtari, Aki, Daniel Simpson, Andrew Gelman, Yuling Yao, and Jonah Gabry. 2024. “Pareto Smoothed Importance Sampling.” http://arxiv.org/abs/1507.02646.

Vehtari, Aki, Daniel P. Simpson, Yuling Yao, and Andrew Gelman. 2019. “Limitations of ‘Limitations of Bayesian Leave-One-Out Cross-Validation for Model Selection’.” Computational Brain & Behavior 2 (1): 22–27. https://doi.org/10.1007/s42113-018-0020-6.

Venables, William N., and Brian D. Ripley. 2002. Modern Applied Statistics with S-PLUS. New York: Springer.

Verhagen, Josine, and Eric-Jan Wagenmakers. 2014. “Bayesian Tests to Quantify the Result of a Replication Attempt.” Journal of Experimental Psychology: General 143 (4): 1457–75. https://doi.org/10.1037/a0036731.

Von Baeyer, Hans Christian. 1988. “How Fermi Would Have Fixed It.” The Sciences 28 (5): 2–4. https://doi.org/https://doi.org/10.1002/j.2326-1951.1988.tb03037.x.

Wagenmakers, Eric-Jan, and Scott D. Brown. 2007. “On the Linear Relation Between the Mean and the Standard Deviation of a Response Time Distribution.” Psychological Review 114 (3): 830. https://doi.org/https://doi.org/10.1037/0033-295X.114.3.830.

Wagenmakers, Eric-Jan, Raoul P. P. P. Grasman, and Peter C. M. Molenaar. 2005. “On the Relation Between the Mean and the Variance of a Diffusion Model Response Time Distribution.” Journal of Mathematical Psychology 49 (3): 195–204. https://doi.org/10.1016/j.jmp.2005.02.003.

Wagenmakers, Eric-Jan, Angelos-Miltiadis Krypotos, Amy H Criss, and Geoffrey Iverson. 2012. “On the Interpretation of Removable Interactions: A Survey of the Field 33 Years After Loftus.” Memory & Cognition 40: 145–60.

Wagenmakers, Eric-Jan, Michael D Lee, Jeffrey N Rouder, and Richard D Morey. 2020. “The Principle of Predictive Irrelevance or Why Intervals Should Not Be Used for Model Comparison Featuring a Point Null Hypothesis.” In The Theory of Statistics in Psychology: Applications, Use, and Misunderstandings, edited by Craig W. Gruber, 111–29. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-48043-1_8.

Wagenmakers, Eric-Jan, Tom Lodewyckx, Himanshu Kuriyal, and Raoul P. P. P. Grasman. 2010. “Bayesian Hypothesis Testing for Psychologists: A Tutorial on the Savage–Dickey Method.” Cognitive Psychology 60 (3): 158–89. https://doi.org/https://doi.org/10.1016/j.cogpsych.2009.12.001.

Wahn, Basil, Daniel P. Ferris, W. David Hairston, and Peter König. 2016. “Pupil Sizes Scale with Attentional Load and Task Experience in a Multiple Object Tracking Task.” PLOS ONE 11 (12): e0168087. https://doi.org/10.1371/journal.pone.0168087.

Walker, Grant M, Gregory Hickok, and Julius Fridriksson. 2018. “A Cognitive Psychometric Model for Assessment of Picture Naming Abilities in Aphasia.” Psychological Assessment 6: 809–26. https://doi.org/10.1037/pas0000529.

Wang, Fei, and Alan E. Gelfand. 2002. “A Simulation-Based Approach to Bayesian Sample Size Determination for Performance Under a Given Model and for Separating Models.” Statistical Science, 193–208. https://doi.org/http://www.jstor.org/stable/3182824.

Wang, Wei, and Andrew Gelman. 2014. “Difficulty of Selecting Among Multilevel Models Using Predictive Accuracy.” Statistics at Its Interface 7: 1–8. https://doi.org/https://dx.doi.org/10.4310/SII.2015.v8.n2.a3.

Warren, Tessa, and Edward Gibson. 2002. “The Influence of Referential Processing on Sentence Complexity.” Cognition 85: 79–112. https://doi.org/https://doi.org/10.1016/S0010-0277(02)00087-2.

Wasserstein, Ronald L., and Nicole A. Lazar. 2016. “The ASA’s Statement on p-Values: Context, Process, and Purpose.” The American Statistician 70 (2): 129–33. https://doi.org/https://doi.org/10.1080/00031305.2016.1154108.

Wickelgren, Wayne A. 1977. “Speed-Accuracy Tradeoff and Information Processing Dynamics.” Acta Psychologica 41 (1): 67–85. https://doi.org/https://doi.org/10.1016/0001-6918(77)90012-9.

Wickelmaier, Florian, and Achim Zeileis. 2018. “Using Recursive Partitioning to Account for Parameter Heterogeneity in Multinomial Processing Tree Models.” Behavior Research Methods 50 (3): 1217–33. https://doi.org/https://doi.org/10.3758/s13428-017-0937-z.

Wickham, Hadley. 2019a. forcats: Tools for Working with Categorical Variables (Factors). https://CRAN.R-project.org/package=forcats.

———. 2019b. stringr: Simple, Consistent Wrappers for Common String Operations. https://CRAN.R-project.org/package=stringr.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus O. Wilke, Kara Woo, Hiroaki Yutani, and Teun van den Brand. 2024. ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://ggplot2.tidyverse.org.

Wickham, Hadley, Romain François, Lionel Henry, Kirill Müller, and Davis Vaughan. 2023. dplyr: A Grammar of Data Manipulation. https://dplyr.tidyverse.org.

Wickham, Hadley, and Lionel Henry. 2023. purrr: Functional Programming Tools. https://purrr.tidyverse.org/.

Wickham, Hadley, Jim Hester, and Romain Francois. 2018. readr: Read Rectangular Text Data. https://CRAN.R-project.org/package=readr.

Wickham, Hadley, Davis Vaughan, and Maximilian Girlich. 2024. Tidyr: Tidy Messy Data. https://tidyr.tidyverse.org.

Wilke, Claus O. 2024. cowplot: Streamlined Plot Theme and Plot Annotations for ’Ggplot2’. https://wilkelab.org/cowplot/.

Wilson, Greg, Jennifer Bryan, Karen Cranston, Justin Kitzes, Lex Nederbragt, and Tracy K. Teal. 2017. “Good Enough Practices in Scientific Computing.” PLoS Computational Biology 13 (6): e1005510.

Wilson, Robert C., and Anne G. E. Collins. 2019. “Ten Simple Rules for the Computational Modeling of Behavioral Data.” Edited by Timothy E Behrens. eLife 8 (November): e49547. https://doi.org/10.7554/eLife.49547.

Wolodzko, Tymoteusz. 2023. extraDistr: Additional Univariate and Multivariate Distributions. https://github.com/twolodzko/extraDistr.

Wu, Fuyun, Elsi Kaiser, and Shravan Vasishth. 2017. “Effects of Early Cues on the Processing of Chinese Relative Clauses: Evidence for Experience-Based Theories.” Cognitive Science 42: 1101–33.

Xie, Yihui. 2019. servr: A Simple Http Server to Serve Static Files or Dynamic Documents. https://CRAN.R-project.org/package=servr.

———. 2024a. bookdown: Authoring Books and Technical Documents with R Markdown. https://github.com/rstudio/bookdown.

———. 2024b. knitr: A General-Purpose Package for Dynamic Report Generation in R. https://yihui.org/knitr/.

Xie, Yihui, Joe Cheng, and Xianying Tan. 2019. DT: A Wrapper of the Javascript Library ’Datatables’. https://CRAN.R-project.org/package=DT.

Yackulic, Charles B., Michael Dodrill, Maria Dzul, Jamie S. Sanderlin, and Janice A. Reid. 2020. “A Need for Speed in Bayesian Population Models: A Practical Guide to Marginalizing and Recovering Discrete Latent States.” Ecological Applications 30 (5): e02112. https://doi.org/https://doi.org/10.1002/eap.2112.

Yadav, Himanshu, Dario Paape, Garrett Smith, Brian W. Dillon, and Shravan Vasishth. 2022. “Individual Differences in Cue Weighting in Sentence Comprehension: An evaluation using Approximate Bayesian Computation.” Open Mind. https://doi.org/https://doi.org/10.1162/opmi_a_00052.

Yadav, Himanshu, Garrett Smith, Sebastian Reich, and Shravan Vasishth. 2023. “Number Feature Distortion Modulates Cue-Based Retrieval in Reading.” Journal of Memory and Language 129. https://doi.org/10.1016/j.jml.2022.104400.

Yadav, Himanshu, Garrett Smith, and Shravan Vasishth. 2021a. “Feature Encoding Modulates Cue-Based Retrieval: Modeling Interference Effects in Both Grammatical and Ungrammatical Sentences.” Proceedings of the Cognitive Science Conference.

———. 2021b. “Is Similarity-Based Interference Caused by Lossy Compression or Cue-Based Retrieval? A Computational Evaluation.” Proceedings of the International Conference on Cognitive Modeling.

Yao, Yuling, Aki Vehtari, Daniel P. Simpson, and Andrew Gelman. 2017. “Using Stacking to Average Bayesian Predictive Distributions.” Bayesian Analysis. https://doi.org/10.1214/17-BA1091.

———. 2018. “Yes, but Did It Work?: Evaluating Variational Inference.” In International Conference on Machine Learning, 5581–90. PMLR.

Yarkoni, Tal. 2020. “The Generalizability Crisis.” Behavioral and Brain Sciences, 1–37. https://doi.org/10.1017/S0140525X20001685.

Yellott, John I. 1967. “Correction for Guessing in Choice Reaction Time.” Psychonomic Science 8 (8): 321–22. https://doi.org/10.3758/BF03331682.

———. 1971. “Correction for Fast Guessing and the Speed-Accuracy Tradeoff in Choice Reaction Time.” Journal of Mathematical Psychology 8 (2): 159–99. https://doi.org/10.1016/0022-2496(71)90011-3.

Zhu, Hao. 2024. KableExtra: Construct Complex Table with ’Kable’ and Pipe Syntax. http://haozhu233.github.io/kableExtra/.