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{
    "pk": 29851,
    "title": "Distributional Statistical Learning: How and How Well Can It Be Measured?",
    "subtitle": null,
    "abstract": "Individuals are readily able to extract and encode statistical\ninformation from their environment (or statistical learning).\nHowever, the bulk of the literature has primarily focused on\nconditional statistical learning (i.e. the ability to learn joint and\nconditional relationships between stimuli), and has largely\nneglected distributional statistical learning (i.e. the ability to\nlearn the frequency and variability of distributions). In this\npaper, we investigate how and how well distributional learning\ncan be measured by exploring the relationship between and\npsychometric properties of two measures: discrimination\njudgements and frequency estimates. Reliable performance\nwas observed in both measures across two different\ndistributional learning tasks (natural and artificial).\nDiscrimination judgements and frequency estimates also\nsignificantly correlated with one another in both tasks, and\nperformance on all tasks accounted for the majority of variance\nacross tasks (55%). These results suggest that distributional\nlearning can be measured reliably, and may tap into both the\nability to discriminate between relative frequencies and to\nexplicitly estimate them.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "statistical learning"
        },
        {
            "word": "distributional learning"
        },
        {
            "word": "conditional\nlearning"
        },
        {
            "word": "individual differences"
        },
        {
            "word": "psychometrics"
        }
    ],
    "section": "Poster Session 2",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/3db7n19m",
    "frozenauthors": [
        {
            "first_name": "Bethany",
            "middle_name": "",
            "last_name": "Growns",
            "name_suffix": "",
            "institution": "Arizona State University",
            "department": ""
        },
        {
            "first_name": "Erwin",
            "middle_name": "J. A. T.",
            "last_name": "Mattijssen",
            "name_suffix": "",
            "institution": "Radboud University Nijmegen",
            "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/29851/galley/19705/download/"
        }
    ]
}