@article{Kellen2025,

title = {Critical Testing in Recognition Memory: Selective Influence, Single-Item Generalization, and the High-Threshold Hypothesis},

author = { David Kellen and Constantin G. Meyer-Grant and Henrik Singmann and Karl Christoph Klauer },

url = {https://osf.io/fnsk2/download/, accepted preprint

https://osf.io/qz5re/, code on OSF

https://doi.org/10.31234/osf.io/fnsk2, PsyArXiv preprint

},

year  = {2025},

date = {2025-10-10},

urldate = {2025-10-10},

journal = {Journal of Experimental Psychology: Learning, Memory, and Cognition},

keywords = {discrete states, mathematical modeling, measurement models, memory, Recognition memory, Signal detection},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{Newall2025,

title = {Evaluation of the 'take time to think' safer gambling message: a randomised, online experimental study},

author = {Philip WS Newall and Ty Hayes and and Henrik Singmann and Leonardo Weiss-Cohen and Lukasz Walasek and Elliot A Ludvig},

url = {https://doi.org/10.1017/bpp.2023.2, publisher website (open access)},

doi = {10.1017/bpp.2023.2},

year  = {2025},

date = {2025-01-01},

urldate = {2024-03-08},

journal = {Behavioural Public Policy},

keywords = {applied, gambling},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{niuJudgmentDecisionStrategies2024,

title = {Judgment and Decision Strategies Used by Weather Scientists in Southeast Asia to Classify Impact Severity},

author = {Xiaoxiao Niu and Henrik Singmann and Faye Wyatt and Agie W. Putra and Azlai Taat and Jehan S. Panti and Lam Hoang and Lorenzo A. Moron and Sazali Osman and Riefda Novikarany and Diep Quang Tran and Rebecca Beckett and Adam JL. Harris},

url = {http://singmann.org/download/publications/Niu-et-al-2024.pdf, Publisher PDF},

doi = {10.1016/j.ijdrr.2024.104799},

issn = {2212-4209},

year  = {2024},

date = {2024-10-15},

urldate = {2024-10-15},

volume = {113},

pages = {104799},

keywords = {applied, Decision Making},

pubstate = {published},

tppubtype = {article}

}

@article{Singmann2024,

title = {Evaluating the Robustness of Parameter Estimates in Cognitive Models: A Meta-Analytic Review of Multinomial Processing Tree Models Across the Multiverse of Estimation Methods},

author = {Henrik Singmann and Daniel W Heck and Marius Barth and Edgar Erdfelder and Nina R Arnold and Frederik Aust and Jimmy Calanchini and Fabian E Gümüsdagli and Sebastian S Horn and David Kellen and Karl C. Klauer and Dora Matzke and Franziska Meissner and Martha Michalkiewicz and Marie Luisa Schaper and Christoph Stahl and Beatrice G. Kuhlmann and Julia Groß},

url = {https://psycnet.apa.org/fulltext/2024-99104-001.pdf, journal PDF

http://singmann.org/download/publications/MPT-multiverse.pdf, accepted manuscript

https://osf.io/preprints/psyarxiv/sd4xp, preprint on OSF},

doi = {10.31234/osf.io/sd4xp},

year  = {2024},

date = {2024-08-28},

urldate = {2024-09-26},

journal = {Psychological Bulletin},

volume = {150},

issue = {8},

pages = {965-1003},

publisher = {PsyArXiv},

keywords = {hierarchical-Bayesian modeling, mathematical modeling, measurement models, Meta Analysis, MPT models, Statistics - Computation},

pubstate = {published},

tppubtype = {article}

}

@article{Lenneis2024,

title = {The Influence of Sleep on Subjective Well-Being: An Experience Sampling Study},

author = {Anita Lenneis and Ahuti Das-Friebel and Nicole K. Y. Tang and Adam N. Sanborn and Sakari Lemola and Henrik Singmann and Dieter Wolke and Adrian von Muhlenen and Anu Realo },

url = {http://singmann.org/download/publications/Lenneis%20et%20al.%20-%202024%20-%20The%20influence%20of%20sleep%20on%20subjective%20well-being%20A.pdf, journal PDF

http://singmann.org/download/publications/Lenneis-et-al.-Sleep-and-SWB-Emotion-Accepted-Version.pdf, accepted manuscript},

doi = {10.1037/emo0001268},

year  = {2024},

date = {2024-02-01},

urldate = {2024-06-15},

journal = {Emotion},

volume = {24},

number = {451-464},

issue = {2},

keywords = {emotion, mixed models},

pubstate = {published},

tppubtype = {article}

}

@article{Nickson2023,

title = {Replicability and reproducibility of predictive models for diagnosis of depression among young adults using Electronic Health Records},

author = {David Nickson and Henrik Singmann and Caroline Meyer and Carla Toro and Lukasz Walasek},

url = {https://diagnprognres.biomedcentral.com/articles/10.1186/s41512-023-00160-2, open access publisher website

http://singmann.org/download/publications/Nickson-DAPR-Replication-accepted.docx, accepted manuscript},

doi = {10.1186/s41512-023-00160-2},

year  = {2023},

date = {2023-12-05},

urldate = {2024-10-10},

journal = {Diagnostic and Prognostic Research},

volume = {7},

pages = {25},

keywords = {applied, clinical, prediction, replication, Statistics - Computation},

pubstate = {published},

tppubtype = {article}

}

@article{Meyer-Grant2023b,

title = {Are Logical Intuitions Only Make-Believe? Reexamining the Logic-Liking Effect},

author = {Constantin G. Meyer-Grant and Nicole Cruz and Henrik Singmann and Samuel Winiger and Spriha Goswani and Brett K. Hayes and Karl Christoph Klauer},

url = {http://singmann.org/download/publications/Meyer-Grant%20et%20al.%20-%202022%20-%20Are%20logical%20intuitions%20only%20make-believe%20Reexamin.pdf, journal PDF

http://singmann.org/download/publications/Are_logical_intuitions_only_make-believe_clean.pdf, accepted manuscript

},

doi = {10.1037/xlm0001152},

year  = {2023},

date = {2023-08-01},

urldate = {2024-02-01},

journal = {Journal of Experimental Psychology: Learning, Memory, and Cognition},

volume = {49},

issue = {8},

pages = {1280-1305},

keywords = {Conditional reasoning, Intuition, Reasoning, syllogistic reasoning},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Statistics in the Service of Science: Don't let the Tail Wag the Dog},

author = {Henrik Singmann and Gregory Edward Cox and David Kellen and Suyog Chandramouli and Clintin Davis-Stober and John C Dunn and Quentin Frederik Gronau and Michael Kalish and Sara D McMullin and Danielle Navarro and Richard M Shiffrin},

url = {https://link.springer.com/content/pdf/10.1007/s42113-022-00129-2.pdf?pdf=button, publisher pdf

https://link.springer.com/article/10.1007/s42113-022-00129-2, publisher website

https://psyarxiv.com/kxhfu/download?format=pdf, accepted manuscript},

year  = {2023},

date = {2023-03-01},

urldate = {2023-04-01},

journal = {Computational Brain & Behavior},

volume = {6},

issue = {1},

pages = {64-83},

keywords = {Bayes Factor, Bayesian modelling, Statistics - Computation},

pubstate = {published},

tppubtype = {article}

}

@article{vanDoorn2023,

title = {Bayes Factors for Mixed Models: a Discussion},

author = {Johnny van Doorn and Julia M. Haaf and Angelika M. Stefan and Eric-Jan Wagenmakers and Gregory Edward Cox and Clintin P. Davis-Stober and Andrew Heathcote and Daniel W. Heck and Michael Kalish and David Kellen and Dora Matzke and Richard D. Morey and Bruno Nicenboim and Don van Ravenzwaaij and Jeffrey N. Rouder and Daniel J. Schad and Richard M. Shiffrin and Henrik Singmann and Shravan Vasishth and João Veríssimo and Florence Bockting and Suyog Chandramouli and John C. Dunn and Quentin F. Gronau and Maximilian Linde and Sara D. McMullin and Danielle Navarro and Martin Schnuerch and Himanshu Yadav and Frederik Aust },

url = {https://link.springer.com/content/pdf/10.1007/s42113-022-00160-3.pdf?pdf=button, publisher PDF

https://link.springer.com/article/10.1007/s42113-022-00160-3, publisher website},

year  = {2023},

date = {2023-03-01},

urldate = {2023-03-01},

journal = {Computational Brain & Behavior},

volume = {6},

issue = {1},

pages = {140-158},

keywords = {Bayes Factor, mixed models, Statistics - Computation},

pubstate = {published},

tppubtype = {article}

}

@article{Newall2022b,

title = {Impact of the" when the fun stops, stop" safer gambling message on online gambling behaviour: a randomised online experimental study},

author = {Philip WS Newall and Leonardo Weiss-Cohen and Henrik Singmann and Lukasz Walasek and Elliot A Ludvig},

url = {http://singmann.org/download/publications/Newall-et-al.-2022-Impact-of-the-when-the-fun-stops-stop-gambling-.pdf, published version},

doi = {10.1016/S2468-2667(21)00279-6},

year  = {2022},

date = {2022-04-27},

urldate = {2022-04-27},

journal = {The Lancet Public Health},

volume = {7},

issue = {5},

pages = {e437-e446},

keywords = {applied, Bayesian modelling, gambling},

pubstate = {published},

tppubtype = {article}

}

@article{Newall2022,

title = {A speed-of-play limit reduces gambling expenditure in an online roulette game: Results of an online experiment},

author = {Philip WS Newall and Leonardo Weiss-Cohen and Henrik Singmann and W Paul Boyce and Lukasz Walasek and Matthew J Rockloff},

url = {https://www.sciencedirect.com/science/article/pii/S0306460321004147, journal website (open access)},

doi = {10.1016/j.addbeh.2021.107229},

year  = {2022},

date = {2022-04-01},

urldate = {2022-04-01},

journal = {Addictive Behaviors},

volume = {127},

pages = {107229},

keywords = {applied, Bayesian modelling, gambling},

pubstate = {published},

tppubtype = {article}

}

@article{Kominsky2021,

title = {The trajectory of counterfactual simulation in development},

author = {Jonathan Kominsky and Tobias Gerstenberg and Madeline Pelz and Mark Sheskin and Henrik Singmann and Laura Schulz and Frank C. Keil},

url = {http://singmann.org/download/publications/Kominsky-et-al.-2021-The-trajectory-of-counterfactual-simulation-in-dev.pdf, published version

http://singmann.org/download/publications/Kominsky_in-press_Tracing_counterfactual_development.pdf, accepted version

https://osf.io/5jw6y/, data, code, and materials (OSF)},

year  = {2021},

date = {2021-11-04},

journal = {Developmental Psychology},

volume = {57},

number = {2},

pages = {253-268},

keywords = {causality, measurement models, MPT models, Reasoning},

pubstate = {published},

tppubtype = {article}

}

@article{Kellen2022,

title = {Testing the Foundations of Signal Detection Theory in Recognition Memory.},

author = {David Kellen and Samuel Winiger and John Dunn and Henrik Singmann },

url = {http://singmann.org/download/publications/kellen-2021-sdt.pdf, publisher PDF

https://psyarxiv.com/p5rj9/, accepted preprint

https://osf.io/zw9yr/, OSF link to data and scripts},

year  = {2021},

date = {2021-11-01},

urldate = {2021-11-01},

journal = {Psychological Review},

volume = {128},

number = {1022-1050},

issue = {6},

keywords = {mathematical modeling, Recognition memory, Signal detection},

pubstate = {published},

tppubtype = {article}

}

@article{Winiger2022,

title = {Bias in Confidence: A critical test for discrete-state models of visual working memory.},

author = {Samuel Winiger and Henrik Singmann and David Kellen},

url = {http://singmann.org/download/publications/Winiger-et-al.-2020-Bias-in-confidence-A-critical-test-for-discrete-s.pdf, Journal PDF

https://psyarxiv.com/6cmsp/, accepted preprint

https://osf.io/es2rw/, data, code, and materials (OSF)},

year  = {2021},

date = {2021-06-01},

journal = {Journal of Experimental Psychology: Learning, Memory, and Cognition},

volume = {47},

number = {3},

pages = {387-401},

keywords = {mathematical modeling, measurement models, memory, MPT models, Recognition memory, Signal detection},

pubstate = {published},

tppubtype = {article}

}

@article{Lenneis2022,

title = {Intraindividual Variability and Temporal Stability of Mid-Sleep on Free and Workdays},

author = {Anita Lenneis and Ahuti Das-Friebel and Henrik Singmann and Maris Teder-Laving and Sakari Lemola and Dieter Wolke and Nicole K. Y. Tang and Adrian von Mühlenen and Jüri Allik and

Anu Realo

},

url = {http://singmann.org/download/publications/Lenneis-et-al.-Intraindividual-Variability-and-Temporal-Stability.pdf, journal PDF

https://journals.sagepub.com/doi/10.1177/0748730420974842, journal website},

year  = {2021},

date = {2021-04-01},

journal = {Journal of Biological Rhythms},

volume = {36},

number = {2},

pages = {169-184},

keywords = {mixed models},

pubstate = {published},

tppubtype = {article}

}

@article{Stewart2022,

title = {Tracking the eye of the beholder: is explanation subjective?},

author = {Andrew J. Stewart and Henrik Singmann and Matthew Haigh and Jeffrey S. Wood and Igor Douven },

url = {http://singmann.org/download/publications/Stewart-et-al.-2021-Tracking-the-eye-of-the-beholder-is-explanation-s.pdf, Journal PDF},

year  = {2021},

date = {2021-04-01},

journal = {Journal of Cognitive Psychology},

volume = {33},

number = {2},

pages = {199-206},

keywords = {explanations, mixed models, Reasoning},

pubstate = {published},

tppubtype = {article}

}

@article{Douven2021,

title = {Conditionals and Inferential Connections: Toward a New Semantics},

author = {Igor Douven and Shira Elqayam and Henrik Singmann and Janneke van Wijnbergen-Huitink},

url = {http://singmann.org/download/publications/Douven-et-al.-2020-Conditionals-and-inferential-connections-toward-a.pdf, Journal PDF

http://singmann.org/download/publications/Douven_et_al_Conditionals_and_Inferential_Connections_TR.pdf, Accepted Manuscript},

doi = {10.1080/13546783.2019.1619623},

year  = {2020},

date = {2020-07-02},

journal = {Thinking & Reasoning},

volume = {26},

number = {3},

pages = {311-351},

keywords = {Conditional reasoning, Reasoning},

pubstate = {published},

tppubtype = {article}

}

@article{Baumann2021,

title = {A Linear Threshold Model for Optimal Stopping Behavior},

author = {Chrisitiane Baumann and Henrik Singmann and Samuel Gershman and Bettina von Helversen},

url = {http://singmann.org/download/publications/Baumann_Optimal_Stopping_PNAS_preprint.pdf, preprint},

year  = {2020},

date = {2020-06-09},

journal = {Proceedings of the National Academy of Sciences},

volume = {117},

number = {23},

pages = {12750-12755},

keywords = {Decision Making, hierarchical-Bayesian modeling, mathematical modeling, measurement models},

pubstate = {published},

tppubtype = {article}

}

@article{Gronau2020b,

title = {bridgesampling: An R Package for Estimating Normalizing Constants},

author = {Quentin F Gronau and Henrik Singmann and Eric-Jan Wagenmakers},

url = {https://www.jstatsoft.org/index.php/jss/article/view/v092i10/v92i10.pdf, published version

https://arxiv.org/pdf/1710.08162.pdf, preprint

http://arxiv.org/abs/1710.08162, on ArXiV},

doi = {10.18637/jss.v092.i10},

year  = {2020},

date = {2020-02-27},

urldate = {2018-09-25},

journal = {Journal of Statistical Software},

volume = {92},

number = {10},

abstract = {Statistical procedures such as Bayes factor model selection and Bayesian model averaging require the computation of normalizing constants (e.g., marginal likelihoods). These normalizing constants are notoriously difficult to obtain, as they usually involve high-dimensional integrals that cannot be solved analytically. Here we introduce an R package that uses bridge sampling (Meng & Wong, 1996; Meng & Schilling, 2002) to estimate normalizing constants in a generic and easy-to-use fashion. For models implemented in Stan, the estimation procedure is automatic. We illustrate the functionality of the package with three examples.},

keywords = {hierarchical-Bayesian modeling, R, Software, Statistics - Computation},

pubstate = {published},

tppubtype = {article}

}

@article{Starns2020,

title = {Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis},

author = {Jeffrey J. Starns and Andrea M. Cataldo and Caren M. Rotello and Jeffrey Annis and Andrew Aschenbrenner and Arndt Bröder and Gregory Cox and Amy Criss and Ryan A. Curl and Ian G. Dobbins and John Dunn and Tasnuva Enam and Nathan J. Evans and Simon Farrell and Scott H. Fraundorf and Scott D. Gronlund and Andrew Heathcote and Daniel W. Heck and Jason L. Hicks and Mark J. Huff and David Kellen and Kylie N. Key and Asli Kilic and Karl Christoph Klauer and Kyle R. Kraemer and Fábio P. Leite and Marianne E. Lloyd and Simone Malejka and Alice Mason and Ryan M. McAdoo and Ian M. McDonough and Robert B. Michael and Laura Mickes and Eda Mizrak and David P. Morgan and Shane T. Mueller and Adam Osth and Angus Reynolds and Travis M. Seale-Carlisle and Henrik Singmann and Jennifer F. Sloane and Andrew M. Smith and Gabriel Tillman and Don van Ravenzwaaij and Christoph T. Weidemann and Gary L. Wells and Corey N. White and Jack Wilson},

url = {http://singmann.org/download/publications/Starns-et-al.-2019-Assessing-Theoretical-Conclusions-With-Blinded-Inf.pdf, published version

http://singmann.org/download/publications/AMPPS_manuscript_revision2_Submitted.docx, accepted manuscript},

year  = {2019},

date = {2019-12-01},

journal = {Advances in Methods and Practices in Psychological Science},

volume = {2},

number = {4},

pages = {335-349},

keywords = {mathematical modeling, measurement models, memory, model selection, Recognition memory},

pubstate = {published},

tppubtype = {article}

}

@article{Niklaus2019,

title = {Two Distinct Mechanisms of Selection in Working Memory: Additive Last-Item and Retro-Cue Benefits},

author = {Marcel Niklaus and Henrik Singmann and Klaus Oberauer},

url = {http://singmann.org/download/publications/Niklaus-et-al.-2019-Two-distinct-mechanisms-of-selection-in-working-me.pdf, published manuscript

https://psyarxiv.com/bcav6/, PsyArXiv preprint},

year  = {2019},

date = {2019-11-30},

journal = {Cognition},

volume = {183},

pages = {282-302},

keywords = {mathematical modeling, measurement models, Signal detection, working memory},

pubstate = {published},

tppubtype = {article}

}

@article{Trippas2018,

title = {Characterizing Belief Bias in Syllogistic Reasoning: A Hierarchical-Bayesian Meta-Analysis of ROC Data},

author = {Dries Trippas and David Kellen and Henrik Singmann and Gordon Pennycook and Derek J. Koehler and Jonathan A. Fugelsang and Chad Dubé},

url = {http://singmann.org/download/publications/Trippas-et-al.-2018-Characterizing-belief-bias-in-syllogistic-reasonin.pdf, published version

http://singmann.org/download/publications/trippas_kellen_singmann_et_al_submitted_online.pdf, accepted manuscript

https://osf.io/8dfyv/, data and modeling code},

year  = {2018},

date = {2018-12-01},

journal = {Psychonomic Bulletin & Review},

volume = {25},

number = {6},

pages = {2141–2174},

keywords = {hierarchical-Bayesian modeling, mathematical modeling, measurement models, Meta Analysis, Reasoning, Signal detection, syllogistic reasoning},

pubstate = {published},

tppubtype = {article}

}

@article{Boehm2018,

title = {Estimating Across-Trial Variability Parameters of the Diffusion Decision Model: Expert Advice and Recommendations},

author = {Udo Boehm and Jeff Annis and Michael Frank and Guy Hawkins and Andrew Heathcote and David Kellen and Angelos-Miltiadis Krypotos and Veronika Lerche and Gordon D Logan and Thomas Palmeri and Don van Ravenzwaaij and Mathieu Servant and Henrik Singmann and Jeffrey Starns and Andreas Voss and Thomas Wiecki and Dora Matzke and Eric-Jan Wagenmakers},

url = {https://psyarxiv.com/km28u/, preprint on OSF},

doi = {10.31234/osf.io/km28u},

year  = {2018},

date = {2018-12-01},

urldate = {2018-09-25},

journal = {Journal of Mathematical Psychology},

volume = {87},

pages = {46-75},

abstract = {For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data from a wide range of domains. Important contributors to the DDM’s success are the across-trial variability parameters, which allow the model to account for the various shapes of response time distributions encountered in practice. However, several researchers have pointed out that estimating the variability parameters can be a challenging task. Moreover, the numerous fitting methods for the DDM each come with their own associated problems and solutions. This often leaves users in a difficult position. In this collaborative project we invited researchers from the DDM community to apply their various fitting methods to simulated data and provide advice and expert guidance on estimating the DDM’s between-trial variability parameters using these methods. Our study establishes a comprehensive reference resource and describes methods that can help to overcome the challenges associated with estimating the DDM’s across-trial variability parameters.},

keywords = {Diffusion model, mathematical modeling, measurement models, Software},

pubstate = {published},

tppubtype = {article}

}

@article{Kellen2018b,

title = {Classic-Probability Accounts of  Mirrored (Quantum-Like) Order Effects in Human Judgments},

author = {David Kellen and Henrik Singmann and William H. Batchelder },

url = {http://singmann.org/download/publications/kellen_singmann_batchelder_inpress_decision.pdf, publisher version

http://singmann.org/download/publications/kellen_singmann_batchelder_classic-probability-accounts_in_press.pdf, accepted manuscript},

year  = {2018},

date = {2018-10-01},

journal = {Decision},

volume = {5},

number = {4},

pages = {323-338},

keywords = {mathematical modeling, measurement models, quantum cognition},

pubstate = {published},

tppubtype = {article}

}

@article{Bartsch2018,

title = {The Effects of Refreshing and Elaboration on Working Memory Performance, and their Contributions to Long-Term Memory Formation},

author = {Lea Bartsch and Henrik Singmann and Klaus Oberauer},

url = {http://singmann.org/download/publications/Bartsch-et-al.-2018-The-effects-of-refreshing-and-elaboration-on-worki.pdf, publisher version

https://osf.io/weuc2/, data and analysis code},

year  = {2018},

date = {2018-07-01},

journal = {Memory & Cognition},

volume = {46},

number = {5},

pages = {796-808},

keywords = {hierarchical-Bayesian modeling, working memory},

pubstate = {published},

tppubtype = {article}

}

@article{Markovits2018,

title = {Multiple Layers of Information Processing in Deductive Reasoning: Combining Dual Strategy and Dual-Source Approaches to Reasoning},

author = {Henry Markovits and Janie Brisson and Pier-Luc de Chantal and Henrik Singmann},

url = {http://singmann.org/download/publications/Markovits-et-al.-2018-Multiple-layers-of-information-processing-in-deduc.pdf, published manuscript},

year  = {2018},

date = {2018-06-30},

journal = {Journal of Cognitive Psychology},

volume = {30},

number = {4},

pages = {394-405},

keywords = {Conditional reasoning, Probabilistic reasoning, Reasoning},

pubstate = {published},

tppubtype = {article}

}

@article{Douven2017,

title = {Conditionals and Inferential Connections: A Hypothetical Inferential Theory},

author = {Igor Douven and Shira Elqayam and Henrik Singmann and Janneke van Wijnbergen-Huitink},

url = {http://singmann.org/download/publications/Douven_Elqayam_Singmann_Wijnbergen-Huitink-HIT_in_press.pdf, accepted manuscript

https://osf.io/3uajq/, OSF link (includes all data and code)},

year  = {2018},

date = {2018-03-01},

journal = {Cognitive Psychology},

volume = {101},

pages = {50-81},

keywords = {Conditional reasoning, Reasoning},

pubstate = {published},

tppubtype = {article}

}

@article{Mizrak2018,

title = {Forgetting Emotional Material in Working Memory},

author = {Eda Mizrak and Henrik Singmann and Ilke Öztekin},

url = {https://academic.oup.com/scan/article-pdf/13/3/331/24238824/nsx145.pdf, free publisher pdf

https://academic.oup.com/scan/article/13/3/331/4767720, publisher website},

year  = {2018},

date = {2018-03-01},

journal = {Social Cognitive and Affective Neuroscience},

volume = {13},

number = {3},

pages = {331–340},

keywords = {Diffusion model, emotion, measurement models, memory, neuro, working memory},

pubstate = {published},

tppubtype = {article}

}

@article{Kellen2017,

title = {Memory Representations, Tree Structures, and Parameter Polysemy: Comment on Cooper, Greve, and Henson (2017)},

author = {David Kellen and Henrik Singmann},

url = {http://singmann.org/download/publications/kellen_singmann-memory-representations-tree_in-press.pdf, accepted manuscript},

year  = {2017},

date = {2017-11-01},

journal = {Cortex},

volume = {96},

pages = {148-155},

keywords = {mathematical modeling, measurement models, MPT models, source memory},

pubstate = {published},

tppubtype = {article}

}

@article{Olsen2017,

title = {Relevance and Reason Relations},

author = {Niels Skovgaard-Olsen and Henrik Singmann and Karl Christoph Klauer},

url = {http://singmann.org/download/publications/Skovgaard-Olsen-et-al.-2016-Relevance-and-Reason-Relations.pdf, publisher version

http://singmann.org/download/publications/submitted/Final-Relevance-and-Reason-Relations.pdf, accepted version

https://osf.io/fdbq2/, OSF link (contains all data and code)

http://singmann.org/download/publications/supplemental/Sup_Mat_Relevance-and-Reason-Relations.pdf, supplemental materials},

year  = {2017},

date = {2017-05-01},

journal = {Cognitive Science},

volume = {41},

pages = {1202-1215},

keywords = {Conditional reasoning, mixed models, new paradigm psychology of reasoning},

pubstate = {published},

tppubtype = {article}

}

@article{Singmann2016,

title = {Probabilistic Conditional Reasoning: Disentangling Form and Content with the Dual-Source Model},

author = {Henrik Singmann and Karl Christoph Klauer and Sieghard Beller},

url = {http://singmann.org/download/publications/Singmann-et-al.-2016-Probabilistic-conditional-reasoning-Disentangling.pdf, published Version

https://osf.io/zcdfq/, OSF link (includes supplemental materials, all data, and scripts)

http://singmann.org/download/publications/submitted/2016_singmann_klauer_beller_nice.pdf, nice version of accepted manuscript},

year  = {2016},

date = {2016-10-01},

journal = {Cognitive Psychology},

volume = {88},

pages = {61-87},

keywords = {Conditional reasoning, Dual Process Models, measurement models, mixed models, new paradigm psychology of reasoning, Probabilistic reasoning},

pubstate = {published},

tppubtype = {article}

}

@article{Gauvrit2016,

title = {Algorithmic complexity for psychology: A user-friendly implementation of the coding theorem method},

author = {Nicolas Gauvrit and Henrik Singmann and Fernando Soler-Toscano and Hector Zenil},

url = {http://singmann.org/download/publications/Gauvrit-et-al.-2016-Algorithmic-complexity-for-psychology-a-user-frie.pdf, published article

http://singmann.org/download/publications/submitted/2015_gauvrit_et_al_complexity_final.pdf, final manuscript

http://arxiv.org/abs/1409.4080, on arXiv

https://github.com/singmann/acss, code on GitHub},

year  = {2016},

date = {2016-04-04},

journal = {Behavior Research Methods},

volume = {48},

pages = {314-329},

keywords = {complexity, new paradigm psychology of reasoning, R, Software},

pubstate = {published},

tppubtype = {article}

}

@article{Hindriks2016,

title = {A New Angle on the Knobe Effect: Intentionality Correlates with Blame, not with Praise.},

author = {Frank Hindriks and Igor Douven and Henrik Singmann},

url = {http://singmann.org/download/publications/2016-New_Angle_Knobe_Effect.pdf, published paper

http://singmann.org/download/publications/submitted/Knobe-correlations2_H_word.pdf, final manuscript},

year  = {2016},

date = {2016-04-01},

journal = {Mind & Language},

volume = {31},

number = {2},

pages = {204-220},

keywords = {Intuition, Knobe Effect},

pubstate = {published},

tppubtype = {article}

}

@article{Olsen3999,

title = {The Relevance Effect and Conditionals},

author = {Niels Skovgaard-Olsen and Henrik Singmann and Karl Christoph Klauer},

url = {http://singmann.org/download/publications/Skovgaard-Olsen-et-al.-2016-The-relevance-effect-and-conditionals.pdf, published paper

http://singmann.org/download/publications/supplemental/The-Relevance-Effect-and-Conditionals_supplemental.pdf, supplemental materials

https://osf.io/j4swp/, data and analysis scripts (OSF)},

year  = {2016},

date = {2016-03-01},

journal = {Cognition},

volume = {150},

pages = {26-36},

keywords = {Conditional reasoning, mixed models, new paradigm psychology of reasoning, Probabilistic reasoning, Reasoning},

pubstate = {published},

tppubtype = {article}

}

@article{Kellen3999,

title = {ROC Residuals in Signal-Detection Models of Recognition Memory},

author = {David Kellen and Henrik Singmann},

url = {http://singmann.org/download/publications/Kellen-and-Singmann-2016-ROC-residuals-in-signal-detection-models-of-recogn.pdf, publisher manuscript (large file)

http://singmann.org/download/publications/submitted/final_manuscript.pdf, accepted manuscript (small file)

https://osf.io/p2eq8/, supplemental materials (OSF)},

year  = {2016},

date = {2016-02-01},

journal = {Psychonomic Bulletin & Review},

volume = {23},

number = {1},

pages = {253-264},

keywords = {mathematical modeling, measurement models, memory, mixed models, R, Signal detection},

pubstate = {published},

tppubtype = {article}

}

@article{Klauer2015,

title = {Does Global and Local Vision Have an Impact on Creative and Analytic Thought? Two Failed Replications},

author = {Karl Christoph Klauer and Henrik Singmann

},

url = {http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0132885&representation=PDF, PLoS One PDF

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0132885, PLoS One Website

https://osf.io/ya5w9/, supplemental materials (data; analyses scripts; additional analyses; materials)},

doi = {10.1371/journal.pone.0132885},

year  = {2015},

date = {2015-10-15},

journal = {PLoS ONE},

volume = {10},

number = {10},

pages = {e0132885},

keywords = {Conditional reasoning, Deductive reasoning, global versus local processing, replication},

pubstate = {published},

tppubtype = {article}

}

@article{Beller2015,

title = {Turn around to have a look? Spatial referencing in dorsal versus frontal settings in cross-linguistic comparison  },

author = {Sieghard Beller and Henrik Singmann and Lisa Hüther and Andrea Bender

},

url = {http://journal.frontiersin.org/article/10.3389/fpsyg.2015.01283/pdf, Frontiers pdf

http://journal.frontiersin.org/article/10.3389/fpsyg.2015.01283, Frontiers website},

doi = {10.3389/fpsyg.2015.01283    },

year  = {2015},

date = {2015-09-02},

journal = {Frontiers in Psychology    },

volume = {6},

number = {1283},

keywords = {frame of reference, measurement models, MPT models},

pubstate = {published},

tppubtype = {article}

}

@article{kellen_further_2015,

title = {Further Evidence for Discrete-State Mediation in Recognition Memory},

author = {Kellen, David and Singmann, Henrik and Vogt, Jan and Klauer, Karl Christoph},

url = {http://singmann.org/download/publications/2015_kellen_singmann_vogt_klauer.pdf, published article

https://osf.io/zadt6/, supplemental materials (data and code; on the Open Science Framework)

http://dx.doi.org/10.1027/1618-3169/a000272, link to publisher website},

year  = {2015},

date = {2015-02-20},

journal = {Experimental Psychology},

volume = {62},

number = {1},

pages = {40-53},

keywords = {discrete states, mathematical modeling, measurement models, memory, MPT models, Recognition memory, Signal detection},

pubstate = {published},

tppubtype = {article}

}

@article{klauer_parametric_xxxx,

title = {Parametric Order Constraints in Multinomial Processing Tree Models: An Extension of Knapp and Batchelder (2004)},

author = {Klauer, Karl Christoph and Singmann, Henrik and Kellen, David},

url = {http://singmann.org/download/publications/2015_klauer_singmann_kellen_jmp.pdf, published article

http://singmann.org/download/publications/supplemental/2014_klauer_singmann_kellen_JMP_supp.zip, supplemental materials

http://arxiv.org/abs/1411.2571, on arXiv},

year  = {2015},

date = {2015-01-01},

journal = {Journal of Mathematical Psychology},

volume = {64-65},

number = {1-7},

keywords = {mathematical modeling, measurement models, MPT models, R},

pubstate = {published},

tppubtype = {article}

}