{"pk":29686,"title":"Reliable Idiographic Parameters From Noisy Behavioral Data: The Case ofIndividual Differences in a Reinforcement Learning Task","subtitle":null,"abstract":"Behavioral data, though has been an influential index oncognitive processes, is under scrutiny for having poorreliability as a result of noise or lacking replications ofreliable effects. Here, we argue that cognitive modeling canbe used to enhance the test-retest reliability of the behavioralmeasures by recovering individual-level parameters frombehavioral data. We tested this empirically with theProbabilistic Stimulus Selection (PSS) task, which is used tomeasure a participant’s sensitivity to positive or negativereinforcement. An analysis of 400,000 simulations from anAdaptive Control of Thought - Rational (ACT-R) model ofthis task showed that the poor reliability of the task is due tothe instability of the end-estimates: because of the way thetask works, the same participants might sometimes end uphaving apparently opposite scores. To recover the underlyinginterpretable parameters and enhance reliability, we used aBayesian Maximum A Posteriori (MAP) procedure. We wereable to obtain reliable parameters across sessions (IntraclassCorrelation Coefficient ~ 0.5), and showed that this approachcan further be used to provide superior measures in terms ofreliability, and bring greater insights into individualdifferences.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Probabilistic Stimulus Selection task; ReliabilityTest; Basal Ganglia; Direct and Indirect pathways;Computational Modeling; ACT-R"}],"section":"Poster Session 1","is_remote":true,"remote_url":"https://escholarship.org/uc/item/4jf1h41h","frozenauthors":[{"first_name":"Yinan","middle_name":"","last_name":"Xu","name_suffix":"","institution":"University of Washington","department":""},{"first_name":"Andrea","middle_name":"","last_name":"Stocco","name_suffix":"","institution":"University of Washington","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2020-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/29686/galley/19543/download/"}]}