2022
|
| 26. | Kellen, David; Winiger, Samuel; Dunn, John; Singmann, Henrik Testing the Foundations of Signal Detection Theory in Recognition Memory. Journal Article Forthcoming Psychological Review, Forthcoming. Links | BibTeX | Tags: mathematical modeling, Recognition memory, Signal detection @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 = {https://psyarxiv.com/p5rj9/, accepted preprint
https://osf.io/zw9yr/, OSF link to data and scripts},
year = {2022},
date = {2022-12-01},
journal = {Psychological Review},
keywords = {mathematical modeling, Recognition memory, Signal detection},
pubstate = {forthcoming},
tppubtype = {article}
}
|
2021
|
| 25. | Winiger, Samuel; Singmann, Henrik; Kellen, David Bias in Confidence: A critical test for discrete-state models of visual working memory. Journal Article Journal of Experimental Psychology: Learning, Memory, and Cognition, 47 (3), pp. 387-401, 2021. Links | BibTeX | Tags: mathematical modeling, measurement models, memory, MPT models, Recognition memory, Signal detection @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
|
| 24. | Baumann, Chrisitiane; Singmann, Henrik; Gershman, Samuel; von Helversen, Bettina A Linear Threshold Model for Optimal Stopping Behavior Journal Article Proceedings of the National Academy of Sciences, 117 (23), pp. 12750-12755, 2020. Links | BibTeX | Tags: Decision Making, hierarchical-Bayesian modeling, mathematical modeling, measurement models @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
|
| 23. | 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 Journal Article Advances in Methods and Practices in Psychological Science, 2 (4), pp. 335-349, 2019. Links | BibTeX | Tags: mathematical modeling, measurement models, memory, model selection, Recognition memory @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}
}
|
| 22. | Niklaus, Marcel; Singmann, Henrik; Oberauer, Klaus Two Distinct Mechanisms of Selection in Working Memory: Additive Last-Item and Retro-Cue Benefits Journal Article Cognition, 183 , pp. 282-302, 2019. Links | BibTeX | Tags: mathematical modeling, measurement models, Signal detection, working memory @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}
}
|
| 21. | Kominsky, Jonathan F; Gerstenberg, Tobias; Pelz, Madeline; Sheskin, Mark; Singmann, Henrik; Schulz, Laura; Keil, Frank C The trajectory of counterfactual simulation in development Inproceedings Proceedings of the 41st Annual Conference of the Cognitive Science Society, 2019. Links | BibTeX | Tags: causal reasoning, development, mathematical modeling, measurement models, MPT models @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}
}
|
| 20. | Eva, Ben; Hartmann, Stephan; Singmann, Henrik A New Probabilistic Explanation of the Modus Ponens-Modus Tollens Asymmetry Inproceedings 2019. Links | BibTeX | Tags: Conditional reasoning, mathematical modeling, new paradigm psychology of reasoning, Probabilistic reasoning @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
|
| 19. | 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 Journal Article Psychonomic Bulletin & Review, 25 (6), pp. 2141–2174, 2018. Links | BibTeX | Tags: hierarchical-Bayesian modeling, mathematical modeling, measurement models, Meta Analysis, Reasoning, Signal detection, syllogistic reasoning @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}
}
|
| 18. | 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 Journal Article Journal of Mathematical Psychology, 87 , pp. 46-75, 2018. Abstract | Links | BibTeX | Tags: Diffusion model, mathematical modeling, measurement models, Software @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. |
| 17. | Kellen, David; Singmann, Henrik; Batchelder, William H Classic-Probability Accounts of Mirrored (Quantum-Like) Order Effects in Human Judgments Journal Article Decision, 5 (4), pp. 323-338, 2018. Links | BibTeX | Tags: mathematical modeling, measurement models, quantum cognition @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}
}
|
| 16. | Singmann, Henrik; Kellen, David; Mizrak, Eda; Öztekin, Ilke Using Ensembles of Cognitive Models to Answer Substantive Questions Inproceedings 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. Links | BibTeX | Tags: hierarchical-Bayesian modeling, mathematical modeling, measurement models, model selection @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}
}
|
| 15. | Kellen, David; Singmann, Henrik; Chen, Sharon; Winiger, Samuel Assumption Violations in Forced-Choice Recognition Judgments: Implications from the Area Theorem Inproceedings 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. Links | BibTeX | Tags: mathematical modeling, measurement models, Recognition memory, Signal detection @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}
}
|
| 14. | Baumann, Christiane; Singmann, Henrik; Kaxiras, Vassilios E; Gershman, Samuel; von Helversen, Bettina Explaining Human Decision Making in Optimal Stopping Tasks Inproceedings 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. Links | BibTeX | Tags: Decision Making, mathematical modeling, optimal stopping @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}
}
|
2017
|
| 13. | Kellen, David; Singmann, Henrik Memory Representations, Tree Structures, and Parameter Polysemy: Comment on Cooper, Greve, and Henson (2017) Journal Article Cortex, 96 , pp. 148-155, 2017. Links | BibTeX | Tags: mathematical modeling, measurement models, MPT models, source memory @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
|
| 12. | Kellen, David; Singmann, Henrik ROC Residuals in Signal-Detection Models of Recognition Memory Journal Article Psychonomic Bulletin & Review, 23 (1), pp. 253-264, 2016. Links | BibTeX | Tags: mathematical modeling, measurement models, memory, mixed models, R, Signal detection @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
|
| 11. | Kellen, David ; Singmann, Henrik ; Vogt, Jan ; Klauer, Karl Christoph Further Evidence for Discrete-State Mediation in Recognition Memory Journal Article Experimental Psychology, 62 (1), pp. 40-53, 2015. Links | BibTeX | Tags: discrete states, mathematical modeling, measurement models, memory, MPT models, Recognition memory, Signal detection @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) Journal Article Journal of Mathematical Psychology, 64-65 (1-7), 2015. Links | BibTeX | Tags: mathematical modeling, measurement models, MPT models, R @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 Journal Article Journal of Memory and Language, 76 , pp. 216–236, 2014. Links | BibTeX | Tags: Familiarity, hierarchical-Bayesian modeling, mathematical modeling, measurement models, memory, MPT models, overdistribution, source memory @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 Inproceedings 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. Links | BibTeX | Tags: logical thinking, mathematical modeling, measurement models, MPT models, Reasoning, syllogistic reasoning @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) Journal Article Frontiers in Psychology, 5 , pp. 402, 2014. Links | BibTeX | Tags: Belief bias, Conditional reasoning, mathematical modeling, measurement models, model identifiability, Reasoning, Signal detection, syllogistic reasoning @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 Journal Article Frontiers in Psychology, 5 , pp. 316, 2014, (winner of best student paper award of DFG priority programm "New frameworks of rationality"). Links | BibTeX | Tags: coherence, Conditional reasoning, dual-source model, mathematical modeling, measurement models, mixed models, new paradigm psychology of reasoning, p-validity, Probabilistic reasoning, rationality, Reasoning @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) Journal Article Psychological Review, 120 (3), pp. 727–730, 2013, ISSN: 0033-295X. Links | BibTeX | Tags: criterion noise, decision noise, mathematical modeling, measurement models, memory, Recognition memory, response criteria, Signal detection @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. | Singmann, Henrik ; Kellen, David ; Klauer, Karl Christoph Investigating the Other-Race Effect of Germans towards Turks and Arabs using Multinomial Processing Tree Models Inproceedings 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. Links | BibTeX | Tags: mathematical modeling, measurement models, memory, MPT models, other-race effect, Recognition memory @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}
}
|
| 3. | Singmann, Henrik ; Kellen, David MPTinR: Analysis of multinomial processing tree models in R Journal Article Behavior Research Methods, 45 (2), pp. 560–575, 2013, ISSN: 1554-3528. Links | BibTeX | Tags: Fisher information, mathematical modeling, measurement models, MPT models, R, Software @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}
}
|
| 2. | 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 Journal Article ADHD Attention Deficit and Hyperactivity Disorders, 5 (4), pp. 321–341, 2013, ISSN: 1866-6116, 1866-6647. Links | BibTeX | Tags: ADHD, Diffusion model, Flanker task, mathematical modeling, measurement models @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}
}
|
2012
|
| 1. | Kellen, David ; Klauer, Karl Christoph ; Singmann, Henrik On the measurement of criterion noise in signal detection theory: The case of recognition memory. Journal Article Psychological Review, 119 (3), pp. 457–479, 2012, ISSN: 1939-1471, 0033-295X. Links | BibTeX | Tags: criterion noise, decision noise, mathematical modeling, measurement models, memory, Recognition memory, response criteria, Signal detection @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}
}
|