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{
    "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/"
        }
    ]
}