Daniel R. Cavagnaro
Affiliations: | Ohio State University, Columbus, Columbus, OH |
Area:
Experimental design optimizationGoogle:
"Daniel Cavagnaro"Mean distance: 17.77 (cluster 50)
Parents
Sign in to add mentor| Jean-Claude Falmagne | grad student | 2004-2007 | UC Irvine |
| Jay Myung | post-doc | 2008- | Ohio State |
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Publications
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| Zwilling CE, Cavagnaro DR, Regenwetter M, et al. (2019) QTest 2.1: Quantitative testing of theories of binary choice using Bayesian inference Journal of Mathematical Psychology. 91: 176-194 |
| Regenwetter M, Cavagnaro DR. (2018) Tutorial on removing the shackles of regression analysis: How to stay true to your theory of binary response probabilities. Psychological Methods |
| Cavagnaro DR, Davis-Stober CP. (2018) A model-based test for treatment effects with probabilistic classifications. Psychological Methods |
| Aranovich GJ, Cavagnaro DR, Pitt MA, et al. (2017) A model-based analysis of decision making under risk in obsessive-compulsive and hoarding disorders. Journal of Psychiatric Research. 90: 126-132 |
| Cavagnaro DR, Aranovich GJ, McClure SM, et al. (2016) On the Functional Form of Temporal Discounting: An Optimized Adaptive Test. Journal of Risk and Uncertainty. 52: 233-254 |
| Cavagnaro DR, Gonzalez R, Myung JI, et al. (2013) Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach. Management Science. 59: 358-375 |
| Cavagnaro DR, Pitt MA, Gonzalez R, et al. (2013) Discriminating Among Probability Weighting Functions Using Adaptive Design Optimization. Journal of Risk and Uncertainty. 47: 255-289 |
| Myung JI, Cavagnaro DR, Pitt MA. (2013) A Tutorial on Adaptive Design Optimization. Journal of Mathematical Psychology. 57: 53-67 |
| Davis-Stober CP, Brown N, Cavagnaro DR. (2013) Individual differences in the algebraic structure of preferences Journal of Mathematical Psychology |
| Cavagnaro DR, Pitt MA, Myung JI. (2011) Model discrimination through adaptive experimentation. Psychonomic Bulletin & Review. 18: 204-10 |