Search results
Results: 24
Number of items: 24
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Boehm, U., Evans, N. J., Gronau, Q. F., Matzke, D., Wagenmakers, E.-J., & Heathcote, A. J. (2024). Inclusion Bayes Factors for Mixed Hierarchical Diffusion Decision Models. Psychological Methods, 29(4), 625-655. https://doi.org/10.31234/osf.io/45t2w, https://doi.org/10.1037/met0000582 -
Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P.-C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., ... Hoijtink, H. (2023). A Review of Applications of the Bayes Factor in Psychological Research. Psychological Methods, 28(3), 558-579. https://doi.org/10.31234/osf.io/cu43g, https://doi.org/10.1037/met0000454 -
Boehm, U., Cox, S., Gantner, G., & Stevenson, R. (2022). Efficient numerical approximation of a non-regular Fokker–Planck equation associated with first-passage time distributions. Bit : numerical mathematics , 62(4), 1355–1382 . https://doi.org/10.1007/s10543-022-00914-2 -
Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P.-C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., ... Hoijtink, H. (2022). A review of applications of the Bayes factor in psychological research. (v3 ed.) PsyArXiv. https://doi.org/10.31234/osf.io/cu43g -
Retzler, C., Boehm, U., Cai, J., Cochrane, A., & Manning, C. (2021). Prior information use and response caution in perceptual decision-making: No evidence for a relationship with autistic-like traits. Quarterly Journal of Experimental Psychology, 74(11), 1953-1965. https://doi.org/10.1177/17470218211019939 -
Boehm, U., Cox, S., Gantner, G., & Stevenson, R. (2021). Fast solutions for the first-passage distribution of diffusion models with space-time-dependent drift functions and time-dependent boundaries. Journal of Mathematical Psychology, 105, Article 102613. https://doi.org/10.1016/j.jmp.2021.102613 -
Boehm, U., Marsman, M., van der Maas, H. L. J., & Maris, G. (2021). An Attention-Based Diffusion Model for Psychometric Analyses. Psychometrika, 86(4), 938-972. https://doi.org/10.1007/s11336-021-09783-0 -
Manning, C., Wagenmakers, E.-J., Norcia, A. M., Scerif, G., & Böhm, U. (2021). Perceptual Decision-Making in Children: Age-Related Differences and EEG Correlates. Computational Brain & Behavior, 4(1), 53-69. https://doi.org/10.31234/osf.io/jwsmb, https://doi.org/10.1007/s42113-020-00087-7 -
Boehm, U., Matzke, D., Gretton, M., Castro, S., Cooper, J., Skinner, M., Strayer, D., & Heathcote, A. (2021). Real-time prediction of fluctuations in cognitive workload. Cognitive Research: Principles and Implications, 6, Article 30. https://doi.org/10.1186/s41235-021-00289-y -
Aczel, B., Szaszi, B., Nilsonne, G., van den Akker, O. R., Albers, C. J., van Assen, M. A., Bastiaansen, J. A., Benjamin, D., Boehm, U., Botvinik-Nezer, R., Bringmann, L. F., Busch, N. A., Caruyer, E., Cataldo, A. M., Cowan, N., Delios, A., van Dongen, N. N. N., Donkin, C., van Doorn, J. B., ... Wagenmakers, E.-J. (2021). Science Forum: Consensus-based guidance for conducting and reporting multi-analyst studies. eLife, 10, Article e72185. https://doi.org/10.7554/eLife.72185
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