| afex: Analysis of Factorial Experiments. R package H Singmann, B Bolker, J Westfall, F Aust https://cran.r-project.org/package=afex, 2020 | 1886* | 2020 |
| An introduction to mixed models for experimental psychology H Singmann, D Kellen New methods in cognitive psychology, 4-31, 2019 | 391 | 2019 |
| Bridgesampling: An R package for estimating normalizing constants QF Gronau, H Singmann, EJ Wagenmakers Journal of Statistical Software 92 (10), 2020 | 283* | 2020 |
| MPTinR: Analysis of multinomial processing tree models in R H Singmann, D Kellen Behavior Research Methods 45 (2), 560-575, 2013 | 135 | 2013 |
| The relevance effect and conditionals N Skovgaard-Olsen, H Singmann, KC Klauer Cognition 150, 26-36, 2016 | 119 | 2016 |
| Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations U Boehm, J Annis, MJ Frank, GE Hawkins, A Heathcote, D Kellen, ... Journal of Mathematical Psychology 87, 46-75, 2018 | 84 | 2018 |
| The effects of refreshing and elaboration on working memory performance, and their contributions to long-term memory formation LM Bartsch, H Singmann, K Oberauer Memory & cognition 46, 796-808, 2018 | 78 | 2018 |
| New normative standards of conditional reasoning and the dual-source model H Singmann, KC Klauer, DE Over Frontiers in Psychology 5, 316, 2014 | 75 | 2014 |
| Conditionals and inferential connections: A hypothetical inferential theory I Douven, S Elqayam, H Singmann, J van Wijnbergen-Huitink Cognitive psychology 101, 50-81, 2018 | 70 | 2018 |
| Does Logic Feel Good? Testing for Intuitive Detection of Logicality in Syllogistic Reasoning. KC Klauer, H Singmann Journal of Experimental Psychology: Learning, Memory, and Cognition 39 (4 …, 2013 | 65* | 2013 |
| Algorithmic complexity for psychology: a user-friendly implementation of the coding theorem method N Gauvrit, H Singmann, F Soler-Toscano, H Zenil Behavior research methods 48, 314-329, 2016 | 63 | 2016 |
| afex: Analysis of factorial experiments (Version 0.27-2)[R package] H Singmann, B Bolker, J Westfall, F Aust, MS Ben-Shachar | 62* | 2020 |
| Deductive and inductive conditional inferences: Two modes of reasoning H Singmann, KC Klauer Thinking & reasoning 17 (3), 247-281, 2011 | 56 | 2011 |
| Package ‘rtdists’ H Singmann, S Brown, M Gretton, A Heathcote, A Voss, J Voss, A Terry | 53* | 2018 |
| On the measurement of criterion noise in signal detection theory: the case of recognition memory. D Kellen, KC Klauer, H Singmann Psychological Review 119 (3), 457, 2012 | 49 | 2012 |
| Testing the foundations of signal detection theory in recognition memory. D Kellen, S Winiger, JC Dunn, H Singmann Psychological Review 128 (6), 1022, 2021 | 43 | 2021 |
| Intuitive logic revisited: new data and a Bayesian mixed model meta-analysis H Singmann, KC Klauer, D Kellen PloS one 9 (4), e94223, 2014 | 43 | 2014 |
| Relevance and reason relations N Skovgaard‐Olsen, H Singmann, KC Klauer Cognitive Science 41, 1202-1215, 2017 | 40 | 2017 |
| Probabilistic conditional reasoning: Disentangling form and content with the dual-source model H Singmann, KC Klauer, S Beller Cognitive Psychology 88, 61-87, 2016 | 39 | 2016 |
| A new angle on the knobe effect: Intentionality correlates with blame, not with praise F Hindriks, I Douven, H Singmann Mind & Language 31 (2), 204-220, 2016 | 37 | 2016 |
David KellenSyracuse UniversityVerified email at syr.edu
