Search results
Results: 85
Number of items: 85
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Sarafoglou, A., Hoogeveen, S., van den Bergh, D., Aczel, B., Albers, C. J., Althoff, T., Botvinik-Nezer, R., Busch, N. A., Cataldo, A. M., Devezer, B., van Dongen, N. N. N., Dreber, A., Fried, E. I., Hoekstra, R., Hoffman, S., Holzmeister, F., Huber, J., Huntington-Klein, N., Ioannidis, J., ... Wagenmakers, E.-J. (2024). Subjective evidence evaluation survey for many-analysts studies. Royal Society Open Science, 11(7), Article 240125. https://doi.org/10.1098/rsos.240125 -
Singmann, H., Heck, D. W., Barth, M., Erdfelder, E., Arnold, N. R., Aust, F., Calanchini, J., Gümüsdagli, F. E., Horn, S. S., Kellen, D., Klauer, K. C., Matzke, D., Meissner, F., Michalkiewicz, M., Schaper, M. L., Stahl, C., Kuhlmann, B. G., & Groß, J. (2024). Evaluating the Robustness of Parameter Estimates in Cognitive Models: A Meta-Analytic Review of Multinomial Processing Tree Models Across the Multiverse of Estimation Methods. Psychological Bulletin, 150(8), 965-1003. https://doi.org/10.1037/bul0000434 -
Kucina, T., Wells, L., Lewis, I., de Salas, K., Kohl, A., Palmer, M. A., Sauer, J. D., Matzke, D., Aidman, E., & Heathcote, A. (2023). Calibration of cognitive tests to address the reliability paradox for decision-conflict tasks. Nature Communications, 14, Article 2234. https://doi.org/10.1038/s41467-023-37777-2 -
Salomoni, S. E., Gronau, Q. F., Heathcote, A., Matzke, D., & Hinder, M. R. (2023). Proactive cues facilitate faster action reprogramming, but not stopping, in a response-selective stop signal task. Scientific Reports, 13, Article 19564. https://doi.org/10.1038/s41598-023-46592-0 -
Heathcote, A., & Matzke, D. (2023). The Limits of Marginality. Computational Brain & Behavior, 6(1), 28-34. https://doi.org/10.1007/s42113-021-00120-3 -
Friehs, M., Siodmiak, J., Donzallaz, M. C., Matzke, D., Nummsen, O., Frings, C., & Hartwigsen, G. (2023). No effects of 1 Hz offline TMS on performance in the stop-signal game. Scientific Reports, 13, Article 11565. https://doi.org/10.1038/s41598-023-38841-z -
Weigard, A., Matzke, D., Tanis, C., & Heathcote, A. (2023). A cognitive process modeling framework for the ABCD study stop-signal task. Developmental Cognitive Neuroscience, 59, Article 101191. https://doi.org/10.1016/j.dcn.2022.101191 -
van Doorn, J., Haaf, J. M., Stefan, A. M., Wagenmakers, E.-J., Cox, G. E., Davis-Stober, C. P., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J. N., Schad, D. J., Shiffrin, R. M., Singmann, H., Vasishth, S., ... Aust, F. (2023). Bayes Factors for Mixed Models: a Discussion. Computational Brain and Behavior, 6(1), 140–158. https://doi.org/10.1007/s42113-022-00160-3 -
Isherwood, S., Bazin, P., Miletić, S., Stevenson, N., Trutti, A., H. Y. Tse, D., Heathcote, A., Matzke, D., Habli, S., Sokołowski, D. R., Alkemade, A., Håberg, A., Forstmann, B., & Innes, R. (2023, June 8). Investigating Intra-Individual Networks of Response Inhibition and Interference Resolution using 7T MRI data [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.22240393.v1
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Isherwood, S. J. S., Bazin, P., Miletić, S., Stevenson, N. R., Trutti, A. C., Tse, D. H. Y., Heathcote, A., Matzke, D., Innes, R. J., Habli, S., Sokołowski, D. R., Alkemade, A., Håberg, A. K., & Forstmann, B. U. (2023). Investigating Intra-Individual Networks of Response Inhibition and Interference Resolution using 7T MRI. NeuroImage, 271, Article 119988. https://doi.org/10.1016/j.neuroimage.2023.119988
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