2025
|
| 63. | Kellen, David; Meyer-Grant, Constantin G.; Singmann, Henrik; Klauer, Karl Christoph: Critical Testing in Recognition Memory: Selective Influence, Single-Item Generalization, and the High-Threshold Hypothesis. In: Journal of Experimental Psychology: Learning, Memory, and Cognition, Forthcoming. @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}
}
|
| 62. | Newall, Philip WS; Hayes, Ty; and Henrik Singmann,; Weiss-Cohen, Leonardo; Walasek, Lukasz; Ludvig, Elliot A: Evaluation of the 'take time to think' safer gambling message: a randomised, online experimental study. In: Behavioural Public Policy, Forthcoming. @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}
}
|
2024
|
| 61. | Niu, Xiaoxiao; Singmann, Henrik; Wyatt, Faye; Putra, Agie W.; Taat, Azlai; Panti, Jehan S.; Hoang, Lam; Moron, Lorenzo A.; Osman, Sazali; Novikarany, Riefda; Tran, Diep Quang; Beckett, Rebecca; Harris, Adam JL.: Judgment and Decision Strategies Used by Weather Scientists in Southeast Asia to Classify Impact Severity. In: vol. 113, pp. 104799, 2024, ISSN: 2212-4209. @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}
}
|
| 60. | Singmann, Henrik; Heck, Daniel W; Barth, Marius; Erdfelder, Edgar; Arnold, Nina R; Aust, Frederik; Calanchini, Jimmy; Gümüsdagli, Fabian E; Horn, Sebastian S; Kellen, David; Klauer, Karl C.; Matzke, Dora; Meissner, Franziska; Michalkiewicz, Martha; Schaper, Marie Luisa; Stahl, Christoph; Kuhlmann, Beatrice G.; Groß, Julia: Evaluating the Robustness of Parameter Estimates in Cognitive Models: A Meta-Analytic Review of Multinomial Processing Tree Models Across the Multiverse of Estimation Methods. In: Psychological Bulletin, vol. 150, iss. 8, pp. 965-1003, 2024. @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}
}
|
| 59. | Chen, Tianshu; Bechlivanidis, Christos; Singmann, Henrik; Lagnado, David: The Attraction of Anticipation: How Causal Interactions Draw People’s Attention in Visual Tasks. In: Samuelson, Larissa K; Frank, Stefan; Toneva, Mariya; Mackey, Allyson P.; Hazeltine, Eliot (Ed.): Proceedings of the 46th Annual Conference of the Cognitive Science Society, 2024. @inproceedings{chenAttractionAnticipationHow2024,
title = {The Attraction of Anticipation: How Causal Interactions Draw People’s Attention in Visual Tasks},
author = {Tianshu Chen and Christos Bechlivanidis and Henrik Singmann and David Lagnado},
editor = {Larissa K Samuelson and Stefan Frank and Mariya Toneva and Allyson P. Mackey and Eliot Hazeltine},
url = {http://singmann.org/download/publications/Chen%20et%20al.%20-%202024%20-%20The%20attraction%20of%20anticipation%20How%20causal%20interac.pdf, final PDF},
year = {2024},
date = {2024-07-24},
urldate = {2025-02-01},
booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society},
keywords = {causality, MPT models, perception},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 58. | Deans-Browne, Calvin; Băitanu, Alexandra; Dubinska, Yuliya; Singmann, Henrik: Inconsistent Arguments Are Perceived as Better Than Appeals to Authority: An Extension of the Everyday Belief Bias. In: Samuelson, Larissa K; Frank, Stefan; Toneva, Mariya; Mackey, Allyson P.; Hazeltine, Eliot (Ed.): Proceedings of the 46th Annual Conference of the Cognitive Science Society, 2024. @inproceedings{deans-browneInconsistentArgumentsAre2024,
title = {Inconsistent Arguments Are Perceived as Better Than Appeals to Authority: An Extension of the Everyday Belief Bias},
author = {Calvin Deans-Browne and Alexandra Băitanu and Yuliya Dubinska and Henrik Singmann},
editor = {Larissa K Samuelson and Stefan Frank and Mariya Toneva and Allyson P. Mackey and Eliot Hazeltine},
url = {http://singmann.org/download/publications/Deans-Browne%20et%20al.%20-%202024%20-%20Inconsistent%20Arguments%20are%20Perceived%20as%20Better%20Tha.pdf, final PDF
https://osf.io/j2xn3, OSF link},
doi = {10.31234/osf.io/j2xn3},
year = {2024},
date = {2024-07-24},
urldate = {2025-01-15},
booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society},
abstract = {Social media is often used as a platform where individuals engage in debate regarding topics that are important to them. Not all arguments are equally convincing, and whilst a given argument may be persuasive to some people, it is often seen as inadequate by others. We are interested in both the individual and argument level differences that make ‘everyday’ arguments such as those on social media persuasive. In a replication of our Everyday Belief Bias Task (Deans-Browne & Singmann, 2024), we investigate this question using a paradigm that consists of two parts. In the first part, we measure participant’s individual beliefs about eight claims each referring to a political topic (e.g., Abortion should be legal). In the second part, participants rated an argument for each of these claims that was deemed as either good, inconsistent (containing internal inconsistencies), or authority-based (being centered around appeals to authority). We replicated the belief consistency effect – participants preferred arguments that were also in line with their beliefs. We also found that authority-based arguments were rated as worse than inconsistent arguments, and that both types of arguments were rated as worse than good arguments. The implications are first that people do not evaluate arguments independently of the background beliefs held about them. Secondly, people are willing to ignore inconsistencies in arguments more than they are willing to accept the endorsement of authority figures as adequate evidence for arguments.},
keywords = {Belief bias, real-world reasoning, Reasoning},
pubstate = {published},
tppubtype = {inproceedings}
}
Social media is often used as a platform where individuals engage in debate regarding topics that are important to them. Not all arguments are equally convincing, and whilst a given argument may be persuasive to some people, it is often seen as inadequate by others. We are interested in both the individual and argument level differences that make ‘everyday’ arguments such as those on social media persuasive. In a replication of our Everyday Belief Bias Task (Deans-Browne & Singmann, 2024), we investigate this question using a paradigm that consists of two parts. In the first part, we measure participant’s individual beliefs about eight claims each referring to a political topic (e.g., Abortion should be legal). In the second part, participants rated an argument for each of these claims that was deemed as either good, inconsistent (containing internal inconsistencies), or authority-based (being centered around appeals to authority). We replicated the belief consistency effect – participants preferred arguments that were also in line with their beliefs. We also found that authority-based arguments were rated as worse than inconsistent arguments, and that both types of arguments were rated as worse than good arguments. The implications are first that people do not evaluate arguments independently of the background beliefs held about them. Secondly, people are willing to ignore inconsistencies in arguments more than they are willing to accept the endorsement of authority figures as adequate evidence for arguments. |
| 57. | Maier, Maximilian; Harris, Adam; Kellen, David; Singmann, Henrik: Introducing the Extinction Gambling Task. In: Samuelson, Larissa K; Frank, Stefan; Toneva, Mariya; Mackey, Allyson P.; Hazeltine, Eliot (Ed.): Proceedings of the 46th Annual Conference of the Cognitive Science Society, OSF, 2024. @inproceedings{maierIntroducingExtinctionGambling2024,
title = {Introducing the Extinction Gambling Task},
author = {Maximilian Maier and Adam Harris and David Kellen and Henrik Singmann},
editor = {Larissa K Samuelson and Stefan Frank and Mariya Toneva and Allyson P. Mackey and Eliot Hazeltine},
url = {http://singmann.org/download/publications/Maier%20et%20al.%20-%202024%20-%20Introducing%20the%20Extinction%20Gambling%20Task.pdf, final PDF
https://osf.io/g3s7u, OSF link
},
doi = {10.31234/osf.io/g3s7u},
year = {2024},
date = {2024-07-24},
urldate = {2025-01-30},
booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society},
publisher = {OSF},
abstract = {Decisions about extinction risks are ubiquitous in everyday life and for our continued existence as a species. We introduce a new risky-choice task that can be used to study this topic: The Extinction Gambling Task. Here, we investigate two versions of this task: a Keep variant, where participants cannot accumulate any more earnings after the extinction event, and a Lose variant, where extinction also wipes out all previous earnings. We derive optimal solutions for both variants and compare them to behavioural data. Our findings suggest that people understand the difference between the two variants and their behaviour is qualitatively in line with the optimal solution. Further, we find evidence for risk-aversion in the Keep condition but not in the Lose condition. We hope that this task can facilitate further research on this vital topic.},
keywords = {Decision Making, optimality, risky-choice},
pubstate = {published},
tppubtype = {inproceedings}
}
Decisions about extinction risks are ubiquitous in everyday life and for our continued existence as a species. We introduce a new risky-choice task that can be used to study this topic: The Extinction Gambling Task. Here, we investigate two versions of this task: a Keep variant, where participants cannot accumulate any more earnings after the extinction event, and a Lose variant, where extinction also wipes out all previous earnings. We derive optimal solutions for both variants and compare them to behavioural data. Our findings suggest that people understand the difference between the two variants and their behaviour is qualitatively in line with the optimal solution. Further, we find evidence for risk-aversion in the Keep condition but not in the Lose condition. We hope that this task can facilitate further research on this vital topic. |
| 56. | Singmann, Henrik; Xiong, Yunxi; Song, Yue; Breen, Mia; Baumann, Christiane: Full-Information Optimal-Stopping Problems: Providing People with the Optimal Policy Does Not Improve Performance. In: Samuelson, Larissa K; Frank, Stefan; Toneva, Mariya; Mackey, Allyson P.; Hazeltine, Eliot (Ed.): Proceedings of the 46th Annual Conference of the Cognitive Science Society, 2024. @inproceedings{singmannFullinformationOptimalstoppingProblems2024,
title = {Full-Information Optimal-Stopping Problems: Providing People with the Optimal Policy Does Not Improve Performance},
author = {Henrik Singmann and Yunxi Xiong and Yue Song and Mia Breen and Christiane Baumann},
editor = {Larissa K Samuelson and Stefan Frank and Mariya Toneva and Allyson P. Mackey and Eliot Hazeltine},
url = {http://singmann.org/download/publications/Singmann%20et%20al.%20-%202024%20-%20Full-information%20optimal-stopping%20problems%20Provid.pdf, final PDF},
year = {2024},
date = {2024-07-24},
urldate = {2025-01-31},
booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society},
keywords = {Decision Making, optimal stopping, optimality},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 55. | Lenneis, Anita; Das-Friebel, Ahuti; Tang, Nicole K. Y.; Sanborn, Adam N.; Lemola, Sakari; Singmann, Henrik; Wolke, Dieter; von Muhlenen, Adrian; Realo, Anu: The Influence of Sleep on Subjective Well-Being: An Experience Sampling Study. In: Emotion, vol. 24, iss. 2, no. 451-464, 2024. @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}
}
|
2023
|
| 54. | Nickson, David; Singmann, Henrik; Meyer, Caroline; Toro, Carla; Walasek, Lukasz: Replicability and reproducibility of predictive models for diagnosis of depression among young adults using Electronic Health Records. In: Diagnostic and Prognostic Research, vol. 7, pp. 25, 2023. @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}
}
|
| 53. | Meyer-Grant, Constantin G.; Cruz, Nicole; Singmann, Henrik; Winiger, Samuel; Goswani, Spriha; Hayes, Brett K.; Klauer, Karl Christoph: Are Logical Intuitions Only Make-Believe? Reexamining the Logic-Liking Effect. In: Journal of Experimental Psychology: Learning, Memory, and Cognition, vol. 49, iss. 8, pp. 1280-1305, 2023. @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}
}
|
| 52. | Singmann, Henrik; Cox, Gregory Edward; Kellen, David; Chandramouli, Suyog; Davis-Stober, Clintin; Dunn, John C; Gronau, Quentin Frederik; Kalish, Michael; McMullin, Sara D; Navarro, Danielle; Shiffrin, Richard M: Statistics in the Service of Science: Don't let the Tail Wag the Dog. In: Computational Brain & Behavior, vol. 6, iss. 1, pp. 64-83, 2023. @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}
}
|
| 51. | van Doorn, Johnny; Haaf, Julia M.; Stefan, Angelika M.; Wagenmakers, Eric-Jan; Cox, Gregory Edward; Davis-Stober, Clintin P.; Heathcote, Andrew; Heck, Daniel W.; Kalish, Michael; Kellen, David; Matzke, Dora; Morey, Richard D.; Nicenboim, Bruno; van Ravenzwaaij, Don; Rouder, Jeffrey N.; Schad, Daniel J.; Shiffrin, Richard M.; Singmann, Henrik; Vasishth, Shravan; Veríssimo, João; Bockting, Florence; Chandramouli, Suyog; Dunn, John C.; Gronau, Quentin F.; Linde, Maximilian; McMullin, Sara D.; Navarro, Danielle; Schnuerch, Martin; Yadav, Himanshu; Aust, Frederik: Bayes Factors for Mixed Models: a Discussion. In: Computational Brain & Behavior, vol. 6, iss. 1, pp. 140-158, 2023. @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}
}
|
2022
|
| 50. | Newall, Philip WS; Weiss-Cohen, Leonardo; Singmann, Henrik; Walasek, Lukasz; Ludvig, Elliot A: Impact of the" when the fun stops, stop" safer gambling message on online gambling behaviour: a randomised online experimental study. In: The Lancet Public Health, vol. 7, iss. 5, pp. e437-e446, 2022. @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}
}
|
| 49. | Newall, Philip WS; Weiss-Cohen, Leonardo; Singmann, Henrik; Boyce, W Paul; Walasek, Lukasz; Rockloff, Matthew J: A speed-of-play limit reduces gambling expenditure in an online roulette game: Results of an online experiment. In: Addictive Behaviors, vol. 127, pp. 107229, 2022. @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}
}
|
2021
|
| 48. | Kominsky, Jonathan; Gerstenberg, Tobias; Pelz, Madeline; Sheskin, Mark; Singmann, Henrik; Schulz, Laura; Keil, Frank C.: The trajectory of counterfactual simulation in development. In: Developmental Psychology, vol. 57, no. 2, pp. 253-268, 2021. @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}
}
|
| 47. | Kellen, David; Winiger, Samuel; Dunn, John; Singmann, Henrik: Testing the Foundations of Signal Detection Theory in Recognition Memory.. In: Psychological Review, vol. 128, iss. 6, no. 1022-1050, 2021. @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}
}
|
| 46. | Winiger, Samuel; Singmann, Henrik; Kellen, David: Bias in Confidence: A critical test for discrete-state models of visual working memory.. In: Journal of Experimental Psychology: Learning, Memory, and Cognition, vol. 47, no. 3, pp. 387-401, 2021. @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}
}
|
| 45. | Lenneis, Anita; Das-Friebel, Ahuti; Singmann, Henrik; Teder-Laving, Maris; Lemola, Sakari; Wolke, Dieter; Tang, Nicole K. Y.; von Mühlenen, Adrian; Allik, Jüri; Realo, Anu: Intraindividual Variability and Temporal Stability of Mid-Sleep on Free and Workdays. In: Journal of Biological Rhythms, vol. 36, no. 2, pp. 169-184, 2021. @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}
}
|
| 44. | Stewart, Andrew J.; Singmann, Henrik; Haigh, Matthew; Wood, Jeffrey S.; Douven, Igor: Tracking the eye of the beholder: is explanation subjective?. In: Journal of Cognitive Psychology, vol. 33, no. 2, pp. 199-206, 2021. @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}
}
|
2020
|
| 43. | Douven, Igor; Elqayam, Shira; Singmann, Henrik; van Wijnbergen-Huitink, Janneke: Conditionals and Inferential Connections: Toward a New Semantics. In: Thinking & Reasoning, vol. 26, no. 3, pp. 311-351, 2020. @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}
}
|
| 42. | Baumann, Chrisitiane; Singmann, Henrik; Gershman, Samuel; von Helversen, Bettina: A Linear Threshold Model for Optimal Stopping Behavior. In: Proceedings of the National Academy of Sciences, vol. 117, no. 23, pp. 12750-12755, 2020. @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}
}
|
| 41. | Gronau, Quentin F; Singmann, Henrik; Wagenmakers, Eric-Jan: bridgesampling: An R Package for Estimating Normalizing Constants. In: Journal of Statistical Software, vol. 92, no. 10, 2020. @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}
}
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. |
2019
|
| 40. | Starns, Jeffrey J.; Cataldo, Andrea M.; Rotello, Caren M.; Annis, Jeffrey; Aschenbrenner, Andrew; Bröder, Arndt; Cox, Gregory; Criss, Amy; Curl, Ryan A.; Dobbins, Ian G.; Dunn, John; Enam, Tasnuva; Evans, Nathan J.; Farrell, Simon; Fraundorf, Scott H.; Gronlund, Scott D.; Heathcote, Andrew; Heck, Daniel W.; Hicks, Jason L.; Huff, Mark J.; Kellen, David; Key, Kylie N.; Kilic, Asli; Klauer, Karl Christoph; Kraemer, Kyle R.; Leite, Fábio P.; Lloyd, Marianne E.; Malejka, Simone; Mason, Alice; McAdoo, Ryan M.; McDonough, Ian M.; Michael, Robert B.; Mickes, Laura; Mizrak, Eda; Morgan, David P.; Mueller, Shane T.; Osth, Adam; Reynolds, Angus; Seale-Carlisle, Travis M.; Singmann, Henrik; Sloane, Jennifer F.; Smith, Andrew M.; Tillman, Gabriel; van Ravenzwaaij, Don; Weidemann, Christoph T.; Wells, Gary L.; White, Corey N.; Wilson, Jack: Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis. In: Advances in Methods and Practices in Psychological Science, vol. 2, no. 4, pp. 335-349, 2019. @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}
}
|
| 39. | Niklaus, Marcel; Singmann, Henrik; Oberauer, Klaus: Two Distinct Mechanisms of Selection in Working Memory: Additive Last-Item and Retro-Cue Benefits. In: Cognition, vol. 183, pp. 282-302, 2019. @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}
}
|
| 38. | Singmann, Henrik; Kellen, David: An introduction to linear mixed modeling in experimental psychology. In: New Methods in Cognitive Psychology, pp. 4–31, Psychology Press, 2019. @incollection{Singmann2019,
title = {An introduction to linear mixed modeling in experimental psychology},
author = {Henrik Singmann and David Kellen},
url = {http://singmann.org/download/publications/singmann_kellen-introduction-mixed-models.pdf, preprint},
year = {2019},
date = {2019-11-11},
booktitle = {New Methods in Cognitive Psychology},
pages = {4–31},
publisher = {Psychology Press},
keywords = {mixed models, R, Statistics - Computation},
pubstate = {published},
tppubtype = {incollection}
}
|
| 37. | Kominsky, Jonathan F.; Gerstenberg, Tobias; Pelz, Madeline; Sheskin, Mark; Singmann, Henrik; Schulz, Laura; Keil, Frank C.: The trajectory of counterfactual simulation in development. In: Proceedings of the 41st Annual Conference of the Cognitive Science Society, 2019. @inproceedings{Kominsky2019,
title = {The trajectory of counterfactual simulation in development},
author = {Jonathan F. 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_2019_CogSci_Trajectory-counterfactual-development.pdf, Final version},
year = {2019},
date = {2019-07-20},
booktitle = {Proceedings of the 41st Annual Conference of the Cognitive Science Society},
keywords = {causal reasoning, development, mathematical modeling, measurement models, MPT models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 36. | Eva, Ben; Hartmann, Stephan; Singmann, Henrik: A New Probabilistic Explanation of the Modus Ponens-Modus Tollens Asymmetry . In: 2019. @inproceedings{Eva2019,
title = {A New Probabilistic Explanation of the Modus Ponens-Modus Tollens Asymmetry },
author = {Ben Eva and Stephan Hartmann and Henrik Singmann},
url = {http://singmann.org/download/publications/Eva_CogSci_2019_MP_MT_Asymmetry.pdf, Final version},
year = {2019},
date = {2019-07-19},
keywords = {Conditional reasoning, mathematical modeling, new paradigm psychology of reasoning, Probabilistic reasoning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2018
|
| 35. | Trippas, Dries; Kellen, David; Singmann, Henrik; Pennycook, Gordon; Koehler, Derek J.; Fugelsang, Jonathan A.; Dubé, Chad: Characterizing Belief Bias in Syllogistic Reasoning: A Hierarchical-Bayesian Meta-Analysis of ROC Data. In: Psychonomic Bulletin & Review, vol. 25, no. 6, pp. 2141–2174, 2018. @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}
}
|
| 34. | Boehm, Udo; Annis, Jeff; Frank, Michael; Hawkins, Guy; Heathcote, Andrew; Kellen, David; Krypotos, Angelos-Miltiadis; Lerche, Veronika; Logan, Gordon D; Palmeri, Thomas; van Ravenzwaaij, Don; Servant, Mathieu; Singmann, Henrik; Starns, Jeffrey; Voss, Andreas; Wiecki, Thomas; Matzke, Dora; Wagenmakers, Eric-Jan: Estimating Across-Trial Variability Parameters of the Diffusion Decision Model: Expert Advice and Recommendations. In: Journal of Mathematical Psychology, vol. 87, pp. 46-75, 2018. @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}
}
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. |
| 33. | Kellen, David; Singmann, Henrik; Batchelder, William H.: Classic-Probability Accounts of Mirrored (Quantum-Like) Order Effects in Human Judgments. In: Decision, vol. 5, no. 4, pp. 323-338, 2018. @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}
}
|
| 32. | Singmann, Henrik; Kellen, David; Mizrak, Eda; Öztekin, Ilke: Using Ensembles of Cognitive Models to Answer Substantive Questions. In: Rogers, Tim; Rau, Marina; Zhu, Jerry; Kalish, Chuck (Ed.): Proceedings of the 40th Annual Conference of the Cognitive Science Society, pp. 1070–1075, Austin TX: Cognitive Science Society, 2018. @inproceedings{singmann_using_2018,
title = {Using Ensembles of Cognitive Models to Answer Substantive Questions},
author = {Henrik Singmann and David Kellen and Eda Mizrak and Ilke Öztekin},
editor = {Tim Rogers and Marina Rau and Jerry Zhu and Chuck Kalish},
url = {http://singmann.org/download/publications/Singmann-et-al.-2018-Using-Ensembles-of-Cognitive-Models-to-Answer-Subs.pdf, published version},
year = {2018},
date = {2018-07-29},
booktitle = {Proceedings of the 40th Annual Conference of the Cognitive Science Society},
pages = {1070--1075},
publisher = {Austin TX: Cognitive Science Society},
keywords = {hierarchical-Bayesian modeling, mathematical modeling, measurement models, model selection},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 31. | Kellen, David; Singmann, Henrik; Chen, Sharon; Winiger, Samuel: Assumption Violations in Forced-Choice Recognition Judgments: Implications from the Area Theorem. In: Rogers, Tim; Rau, Marina; Zhu, Jerry; Kalish, Chuck (Ed.): Proceedings of the 40th Annual Conference of the Cognitive Science Society, pp. 598–603, Austin TX: Cognitive Science Societ, 2018. @inproceedings{Kellen2018,
title = {Assumption Violations in Forced-Choice Recognition Judgments: Implications from the Area Theorem},
author = {David Kellen and Henrik Singmann and Sharon Chen and Samuel Winiger},
editor = {Tim Rogers and Marina Rau and Jerry Zhu and Chuck Kalish},
url = {http://singmann.org/download/publications/Kellen-et-al.-2018-Assumption-Violations-in-Forced-Choice-Recognition.pdf},
year = {2018},
date = {2018-07-26},
booktitle = {Proceedings of the 40th Annual Conference of the Cognitive Science Society},
pages = {598--603},
publisher = {Austin TX: Cognitive Science Societ},
keywords = {mathematical modeling, measurement models, Recognition memory, Signal detection},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 30. | Winiger, Samuel; Singmann, Henrik; Kellen, David: Measuring Belief Bias with Ternary Response Sets. In: Rogers, Tim; Rau, Marina; Zhu, Jerry; Kalish, Chuck (Ed.): Proceedings of the 40th Annual Conference of the Cognitive Science Society, pp. 1171–1176, Austin TX: Cognitive Science Society, 2018. @inproceedings{winiger_measuring_2018,
title = {Measuring Belief Bias with Ternary Response Sets},
author = {Samuel Winiger and Henrik Singmann and David Kellen},
editor = {Tim Rogers and Marina Rau and Jerry Zhu and Chuck Kalish},
url = {http://singmann.org/download/publications/Winiger-et-al.-2018-Measuring-Belief-Bias-with-Ternary-Response-Sets.pdf, published version},
year = {2018},
date = {2018-07-26},
booktitle = {Proceedings of the 40th Annual Conference of the Cognitive Science Society},
pages = {1171--1176},
publisher = {Austin TX: Cognitive Science Society},
keywords = {Belief bias, measurement models, MPT models, Reasoning, syllogistic reasoning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 29. | Baumann, Christiane; Singmann, Henrik; Kaxiras, Vassilios E; Gershman, Samuel; von Helversen, Bettina: Explaining Human Decision Making in Optimal Stopping Tasks. In: Rogers, Tim; Rau, Marina; Zhu, Jerry; Kalish, Chuck (Ed.): Proceedings of the 40th Annual Conference of the Cognitive Science Society, pp. 1343–1348, Austin TX: Cognitive Science Society, 2018. @inproceedings{baumann_explaining_2018,
title = {Explaining Human Decision Making in Optimal Stopping Tasks},
author = {Christiane Baumann and Henrik Singmann and Vassilios E Kaxiras and Samuel Gershman and Bettina von Helversen},
editor = {Tim Rogers and Marina Rau and Jerry Zhu and Chuck Kalish},
url = {http://singmann.org/download/publications/Baumann-et-al.-2018-Explaining-Human-Decision-Making-in-Optimal-Stoppi.pdf, published version},
year = {2018},
date = {2018-07-26},
booktitle = {Proceedings of the 40th Annual Conference of the Cognitive Science Society},
pages = {1343--1348},
publisher = {Austin TX: Cognitive Science Society},
keywords = {Decision Making, mathematical modeling, optimal stopping},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 28. | Bartsch, Lea; Singmann, Henrik; Oberauer, Klaus: The Effects of Refreshing and Elaboration on Working Memory Performance, and their Contributions to Long-Term Memory Formation. In: Memory & Cognition, vol. 46, no. 5, pp. 796-808, 2018. @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}
}
|
| 27. | Markovits, Henry; Brisson, Janie; de Chantal, Pier-Luc; Singmann, Henrik: Multiple Layers of Information Processing in Deductive Reasoning: Combining Dual Strategy and Dual-Source Approaches to Reasoning. In: Journal of Cognitive Psychology, vol. 30, no. 4, pp. 394-405, 2018. @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}
}
|
| 26. | Douven, Igor; Elqayam, Shira; Singmann, Henrik; van Wijnbergen-Huitink, Janneke: Conditionals and Inferential Connections: A Hypothetical Inferential Theory. In: Cognitive Psychology, vol. 101, pp. 50-81, 2018. @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}
}
|
| 25. | Mizrak, Eda; Singmann, Henrik; Öztekin, Ilke: Forgetting Emotional Material in Working Memory. In: Social Cognitive and Affective Neuroscience, vol. 13, no. 3, pp. 331–340, 2018. @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}
}
|
2017
|
| 24. | Kellen, David; Singmann, Henrik: Memory Representations, Tree Structures, and Parameter Polysemy: Comment on Cooper, Greve, and Henson (2017). In: Cortex, vol. 96, pp. 148-155, 2017. @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}
}
|
| 23. | Skovgaard-Olsen, Niels; Singmann, Henrik; Klauer, Karl Christoph: Relevance and Reason Relations. In: Cognitive Science, vol. 41, pp. 1202-1215, 2017. @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}
}
|
2016
|
| 22. | Singmann, Henrik; Klauer, Karl Christoph; Beller, Sieghard: Probabilistic Conditional Reasoning: Disentangling Form and Content with the Dual-Source Model. In: Cognitive Psychology, vol. 88, pp. 61-87, 2016. @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}
}
|
| 21. | Gauvrit, Nicolas; Singmann, Henrik; Soler-Toscano, Fernando; Zenil, Hector: Algorithmic complexity for psychology: A user-friendly implementation of the coding theorem method. In: Behavior Research Methods, vol. 48, pp. 314-329, 2016. @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}
}
|
| 20. | Hindriks, Frank; Douven, Igor; Singmann, Henrik: A New Angle on the Knobe Effect: Intentionality Correlates with Blame, not with Praise.. In: Mind & Language, vol. 31, no. 2, pp. 204-220, 2016. @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}
}
|
| 19. | Skovgaard-Olsen, Niels; Singmann, Henrik; Klauer, Karl Christoph: The Relevance Effect and Conditionals. In: Cognition, vol. 150, pp. 26-36, 2016. @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}
}
|
| 18. | Kellen, David; Singmann, Henrik: ROC Residuals in Signal-Detection Models of Recognition Memory. In: Psychonomic Bulletin & Review, vol. 23, no. 1, pp. 253-264, 2016. @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}
}
|
2015
|
| 17. | Klauer, Karl Christoph; Singmann, Henrik: Does Global and Local Vision Have an Impact on Creative and Analytic Thought? Two Failed Replications. In: PLoS ONE, vol. 10, no. 10, pp. e0132885, 2015. @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}
}
|
| 16. | Beller, Sieghard; Singmann, Henrik; Hüther, Lisa; Bender, Andrea: Turn around to have a look? Spatial referencing in dorsal versus frontal settings in cross-linguistic comparison . In: Frontiers in Psychology , vol. 6, no. 1283, 2015. @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}
}
|
| 15. | Kellen, David; Singmann, Henrik; Vogt, Jan; Klauer, Karl Christoph: Further Evidence for Discrete-State Mediation in Recognition Memory. In: Experimental Psychology, vol. 62, no. 1, pp. 40-53, 2015. @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}
}
|
| 14. | Klauer, Karl Christoph; Singmann, Henrik; Kellen, David: Parametric Order Constraints in Multinomial Processing Tree Models: An Extension of Knapp and Batchelder (2004). In: Journal of Mathematical Psychology, vol. 64-65, no. 1-7, 2015. @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}
}
|