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. 2024 Jun 3;7(1):48. doi: 10.5334/joc.373

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Copyright: © 2024 The Author(s)

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

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Fit of optimal DDM and model comparison Experiment 1 — Fit of optimal model (Top panel) and model comparison (Bottom panel) of various constraints on the Diffusion Decision Model reveal that there are no lasting effects of instruction. Top. QQ-plots of model fits of the none model. Individual data points refer to individuals, thick shapes indicate the mean of the 0.1, 0.3, 0.5, 0.7, and 0.9 quantile RTs (cf. Miletić & Van Maanen, 2019). I+F: Instruction and feedback; F: feedback only. Bottom. BIC weights of all models for all participants. The models are indicated by which parameter was free to vary between F and I+F conditions. Participants are grouped according to a hierarchical clustering algorithm within the Mapping condition, for illustrative purposes. The colors represent the BIC weight.