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    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Dissertations (MU)
    • 2015 Dissertations (MU)
    • 2015 MU dissertations - Freely available online
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    Application of systems factorial technology and hierarchical Bayesian modeling to chunking in working memory

    Thiele, Jonathan
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    [PDF] public.pdf (1.822Kb)
    [PDF] research.pdf (926.4Kb)
    [PDF] short.pdf (13.32Kb)
    Date
    2015
    Format
    Thesis
    Metadata
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    Abstract
    Although there is substantial evidence supporting the existence of chunking in Working Memory, much of it is dependent on a small range of experimental methods, many of which rely on accuracy measures. Consequently, I feel there is a need to develop a new method for studying chunking. In this paper, I propose one such method, adapted from a perceptual research method known as Systems Factorial Technology, to determine whether a given pair of features is chunked or maintained as separate objects. In addition, I test this method on two pairs of stimuli through four experiments, testing whether the feature are processed together or separately in both perception and memory. The current research finds no evidence for chunking in either feature pair considered.
    URI
    https://hdl.handle.net/10355/50192
    Degree
    Ph. D.
    Thesis Department
    Psychology (MU)
    Rights
    OpenAccess
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
    Collections
    • 2015 MU dissertations - Freely available online
    • Psychological Sciences electronic theses and dissertations (MU)

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