@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  = {2021},

date = {2021-11-01},

urldate = {2022-12-01},

journal = {Psychological Review},

volume = {128},

number = {1022-1050},

issue = {6},

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

pubstate = {published},

tppubtype = {article}

}

@article{Winiger2022,

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

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

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

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

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

year  = {2021},

date = {2021-06-01},

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

volume = {47},

number = {3},

pages = {387-401},

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

pubstate = {published},

tppubtype = {article}

}

@article{Baumann2021,

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

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

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

year  = {2020},

date = {2020-06-09},

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

volume = {117},

number = {23},

pages = {12750-12755},

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

pubstate = {published},

tppubtype = {article}

}

@article{Starns2020,

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

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

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

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

year  = {2019},

date = {2019-12-01},

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

volume = {2},

number = {4},

pages = {335-349},

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

pubstate = {published},

tppubtype = {article}

}

@article{Niklaus2019,

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

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

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

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

year  = {2019},

date = {2019-11-30},

journal = {Cognition},

volume = {183},

pages = {282-302},

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

pubstate = {published},

tppubtype = {article}

}

@article{Trippas2018,

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

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

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

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

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

year  = {2018},

date = {2018-12-01},

journal = {Psychonomic Bulletin & Review},

volume = {25},

number = {6},

pages = {2141–2174},

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

pubstate = {published},

tppubtype = {article}

}

@article{Boehm2018,

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

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

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

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

year  = {2018},

date = {2018-12-01},

urldate = {2018-09-25},

journal = {Journal of Mathematical Psychology},

volume = {87},

pages = {46-75},

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

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

pubstate = {published},

tppubtype = {article}

}

@article{Kellen2018b,

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

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

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

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

year  = {2018},

date = {2018-10-01},

journal = {Decision},

volume = {5},

number = {4},

pages = {323-338},

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

pubstate = {published},

tppubtype = {article}

}

@article{Kellen2017,

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

author = {David Kellen and Henrik Singmann},

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

year  = {2017},

date = {2017-11-01},

journal = {Cortex},

volume = {96},

pages = {148-155},

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

pubstate = {published},

tppubtype = {article}

}

@article{Kellen3999,

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

author = {David Kellen and Henrik Singmann},

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

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

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

year  = {2016},

date = {2016-02-01},

journal = {Psychonomic Bulletin & Review},

volume = {23},

number = {1},

pages = {253-264},

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

pubstate = {published},

tppubtype = {article}

}

@article{kellen_further_2015,

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

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

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

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

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

year  = {2015},

date = {2015-02-20},

journal = {Experimental Psychology},

volume = {62},

number = {1},

pages = {40-53},

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

pubstate = {published},

tppubtype = {article}

}

@article{klauer_parametric_xxxx,

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

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

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

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

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

year  = {2015},

date = {2015-01-01},

journal = {Journal of Mathematical Psychology},

volume = {64-65},

number = {1-7},

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

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}