2025
|
29. | 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, Forthcoming. @article{Singmann2025,
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 = {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 = {2025},
date = {2025-03-01},
urldate = {2025-03-01},
journal = {Psychological Bulletin},
publisher = {PsyArXiv},
keywords = {hierarchical-Bayesian modeling, mathematical modeling, measurement models, Meta Analysis, MPT models, Statistics - Computation},
pubstate = {forthcoming},
tppubtype = {article}
}
|
2021
|
28. | 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}
}
|
27. | 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}
}
|
2020
|
26. | 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}
}
|
2019
|
25. | 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}
}
|
24. | 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}
}
|
23. | 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}
}
|
2018
|
22. | 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}
}
|
21. | 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. |
20. | 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}
}
|
19. | 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}
}
|
18. | 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}
}
|
17. | 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}
}
|
16. | 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
|
15. | 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}
}
|
2016
|
14. | 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}
}
|
13. | 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
|
12. | 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}
}
|
11. | 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}
}
|
10. | 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}
}
|
2014
|
9. | Kellen, David; Singmann, Henrik; Klauer, Karl Christoph: Modeling source-memory overdistribution. In: Journal of Memory and Language, vol. 76, pp. 216–236, 2014. @article{kellen_modeling_2014,
title = {Modeling source-memory overdistribution},
author = {Kellen, David and Singmann, Henrik and Klauer, Karl Christoph},
url = {http://singmann.org/download/publications/Kellen%20et%20al.%20-%202014%20-%20Modeling%20source-memory%20overdistribution.pdf, published article
http://singmann.org/download/publications/data-scripts/2014_kellen_singmann_klauer.zip, individual data},
year = {2014},
date = {2014-10-01},
journal = {Journal of Memory and Language},
volume = {76},
pages = {216--236},
keywords = {Familiarity, hierarchical-Bayesian modeling, mathematical modeling, measurement models, memory, MPT models, overdistribution, source memory},
pubstate = {published},
tppubtype = {article}
}
|
8. | Ragni, Marco; Singmann, Henrik; Steinlein, Eva-Maria: Theory Comparison for Generalized Quantifiers. In: Bello, Paul; Guarini, Marcello; McShane, Marjorie; Scassellati, Brian (Ed.): Proceedings of the 36th Annual Conference of the Cognitive Science Society, pp. 1330–1335, Austin, TX: Cognitive Science Society, 2014. @inproceedings{ragni_theory_2014,
title = {Theory Comparison for Generalized Quantifiers},
author = {Ragni, Marco and Singmann, Henrik and Steinlein, Eva-Maria},
editor = {Bello, Paul and Guarini, Marcello and McShane, Marjorie and Scassellati, Brian},
url = {http://singmann.org/download/publications/2014_ragni_cogsci.pdf, published article},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 36th Annual Conference of the Cognitive Science Society},
pages = {1330--1335},
publisher = {Austin, TX: Cognitive Science Society},
keywords = {logical thinking, mathematical modeling, measurement models, MPT models, Reasoning, syllogistic reasoning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
7. | Singmann, Henrik; Kellen, David: Concerns with the SDT approach to causal conditional reasoning: a comment on Trippas, Handley, Verde, Roser, McNair, and Evans (2014). In: Frontiers in Psychology, vol. 5, pp. 402, 2014. @article{singmann_concerns_2014,
title = {Concerns with the SDT approach to causal conditional reasoning: a comment on Trippas, Handley, Verde, Roser, McNair, and Evans (2014)},
author = {Singmann, Henrik and Kellen, David},
url = {http://singmann.org/download/publications/Singmann%20und%20Kellen%20-%202014%20-%20Concerns%20with%20the%20SDT%20approach%20to%20causal%20condition.pdf, published article},
year = {2014},
date = {2014-01-01},
journal = {Frontiers in Psychology},
volume = {5},
pages = {402},
keywords = {Belief bias, Conditional reasoning, mathematical modeling, measurement models, model identifiability, Reasoning, Signal detection, syllogistic reasoning},
pubstate = {published},
tppubtype = {article}
}
|
6. | Singmann, Henrik; Klauer, Karl Christoph; Over, David E.: New normative standards of conditional reasoning and the dual-source model. In: Frontiers in Psychology, vol. 5, pp. 316, 2014, (winner of best student paper award of DFG priority programm "New frameworks of rationality"). @article{singmann_new_2014,
title = {New normative standards of conditional reasoning and the dual-source model},
author = {Henrik Singmann and Karl Christoph Klauer and David E. Over },
url = {http://singmann.org/download/publications/Singmann-Klauer-Over_2014.pdf, published article
http://singmann.org/download/publications/data-scripts/2014_singmann_klauer_over.zip, data and analysis scripts},
year = {2014},
date = {2014-01-01},
journal = {Frontiers in Psychology},
volume = {5},
pages = {316},
note = {winner of best student paper award of DFG priority programm "New frameworks of rationality"},
keywords = {coherence, Conditional reasoning, dual-source model, mathematical modeling, measurement models, mixed models, new paradigm psychology of reasoning, p-validity, Probabilistic reasoning, rationality, Reasoning},
pubstate = {published},
tppubtype = {article}
}
|
2013
|
5. | Kellen, David; Klauer, Karl Christoph; Singmann, Henrik: On the measurement of criterion noise in signal detection theory: Reply to Benjamin (2013). In: Psychological Review, vol. 120, no. 3, pp. 727–730, 2013, ISSN: 0033-295X. @article{kellen_measurement_2013,
title = {On the measurement of criterion noise in signal detection theory: Reply to Benjamin (2013)},
author = {Kellen, David and Klauer, Karl Christoph and Singmann, Henrik},
url = {http://singmann.org/download/publications/Kellen%20et%20al.%20-%202013%20-%20On%20the%20measurement%20of%20criterion%20noise%20in%20signal%20de.pdf, published article},
issn = {0033-295X},
year = {2013},
date = {2013-01-01},
journal = {Psychological Review},
volume = {120},
number = {3},
pages = {727--730},
keywords = {criterion noise, decision noise, mathematical modeling, measurement models, memory, Recognition memory, response criteria, Signal detection},
pubstate = {published},
tppubtype = {article}
}
|
4. | Merkt, Julia; Singmann, Henrik; Bodenburg, Sebastian; Goossens-Merkt, Heinrich; Kappes, Andreas; Wendt, Mike; Gawrilow, Caterina: Flanker performance in female college students with ADHD: a diffusion model analysis. In: ADHD Attention Deficit and Hyperactivity Disorders, vol. 5, no. 4, pp. 321–341, 2013, ISSN: 1866-6116, 1866-6647. @article{merkt_flanker_2013,
title = {Flanker performance in female college students with ADHD: a diffusion model analysis},
author = {Merkt, Julia and Singmann, Henrik and Bodenburg, Sebastian and Goossens-Merkt, Heinrich and Kappes, Andreas and Wendt, Mike and Gawrilow, Caterina},
url = {http://singmann.org/download/publications/Merkt%20et%20al.%20(2013)%20-%20ADHD.pdf, published article},
issn = {1866-6116, 1866-6647},
year = {2013},
date = {2013-01-01},
journal = {ADHD Attention Deficit and Hyperactivity Disorders},
volume = {5},
number = {4},
pages = {321--341},
keywords = {ADHD, Diffusion model, Flanker task, mathematical modeling, measurement models},
pubstate = {published},
tppubtype = {article}
}
|
3. | Singmann, Henrik; Kellen, David; Klauer, Karl Christoph: Investigating the Other-Race Effect of Germans towards Turks and Arabs using Multinomial Processing Tree Models. In: Knauff, Markus; Pauen, M.; Sebanz, N.; Wachsmuth, I. (Ed.): Proceedings of the 35th Annual Conference of the Cognitive Science Society, pp. 1330–1335, Austin, TX: Cognitive Science Society, 2013. @inproceedings{singmann_investigating_2013,
title = {Investigating the Other-Race Effect of Germans towards Turks and Arabs using Multinomial Processing Tree Models},
author = {Singmann, Henrik and Kellen, David and Klauer, Karl Christoph},
editor = {Knauff, Markus and Pauen, M. and Sebanz, N. and Wachsmuth, I.},
url = {http://singmann.org/download/publications/SKK-CogSci2013.pdf, published article
http://singmann.org/download/publications/data-scripts/2013_singmann_kellen_klauer.zip, data and analysis script},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings of the 35th Annual Conference of the Cognitive Science Society},
pages = {1330--1335},
publisher = {Austin, TX: Cognitive Science Society},
keywords = {mathematical modeling, measurement models, memory, MPT models, other-race effect, Recognition memory},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2. | Singmann, Henrik; Kellen, David: MPTinR: Analysis of multinomial processing tree models in R. In: Behavior Research Methods, vol. 45, no. 2, pp. 560–575, 2013, ISSN: 1554-3528. @article{singmann_mptinr:_2013,
title = {MPTinR: Analysis of multinomial processing tree models in R},
author = {Singmann, Henrik and Kellen, David},
url = {http://singmann.org/download/publications/Singmann%20&%20Kellen%20(2013)%20MPTinR.pdf, published article
http://CRAN.R-project.org/package=MPTinR, MPTinR on CRAN},
issn = {1554-3528},
year = {2013},
date = {2013-01-01},
journal = {Behavior Research Methods},
volume = {45},
number = {2},
pages = {560--575},
keywords = {Fisher information, mathematical modeling, measurement models, MPT models, R, Software},
pubstate = {published},
tppubtype = {article}
}
|
2012
|
1. | Kellen, David; Klauer, Karl Christoph; Singmann, Henrik: On the measurement of criterion noise in signal detection theory: The case of recognition memory.. In: Psychological Review, vol. 119, no. 3, pp. 457–479, 2012, ISSN: 1939-1471, 0033-295X. @article{kellen_measurement_2012,
title = {On the measurement of criterion noise in signal detection theory: The case of recognition memory.},
author = {Kellen, David and Klauer, Karl Christoph and Singmann, Henrik},
url = {http://singmann.org/download/publications/Kellen%20et%20al.%20-%202012%20-%20On%20the%20measurement%20of%20criterion%20noise%20in%20signal%20de.pdf, published article
http://singmann.org/download/publications/supplemental/2013_kellen_klauer_singmann.zip, supplemental materials},
issn = {1939-1471, 0033-295X},
year = {2012},
date = {2012-01-01},
journal = {Psychological Review},
volume = {119},
number = {3},
pages = {457--479},
keywords = {criterion noise, decision noise, mathematical modeling, measurement models, memory, Recognition memory, response criteria, Signal detection},
pubstate = {published},
tppubtype = {article}
}
|