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This is the full dataset for ["The interpretation of computational model parameters depends on the context" (Eckstein, Master, Xia, Dahl, Wilbrecht, Collins, 2022) in *eLife*][1]: - EcksteinEtAl_eLife2022_BUTTERFLY.csv contains data for Task A ("Butterfly"). This task was also used in ["Modeling changes in probabilistic reinforcement learning during adolescence" (Xia, Master, Eckstein, Baribault, Dahl, Wilbrecht, Collins, 2021) in *Plos Computational Bio*][2] - EcksteinEtAl_eLife2022_ProbSwitch.csv contains data for Task B ("ProbSwitch"). This task was also used in ["Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal" (Eckstein Master, Dahl, Wilbrecht, Collins, 2022) in *Developmental Cognitive Neuroscience*][3] - EcksteinEtAl_eLife2022_RLWM.csv contains data for Task C ("RL-Working Memory"). This task was also used in ["Distentangling the systems contributing to changes in learning during adolescence" (Master, Eckstein, Gotlieb, Dahl, Wilbrecht, Collins, 2020) in *Developmental Cognitive Neuroscience*][4] - EcksteinEtAl_eLife2022_Demographics.csv contains participants' demographics data. [1]: https://elifesciences.org/articles/75474 [2]: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008524 [3]: https://www.sciencedirect.com/science/article/pii/S1878929322000494 [4]: https://pubmed.ncbi.nlm.nih.gov/31826837/
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