Distinguishing misconceptions from myths using traditional and classification analyses to explore response time as a discriminator

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dc.contributor.advisor Butler, Darrell L., 1949-
dc.contributor.author Ring, Nathaniel S.
dc.date.accessioned 2013-08-07T15:52:26Z
dc.date.available 2013-08-07T15:52:26Z
dc.date.created 2013-07-20
dc.date.issued 2013-07-20
dc.identifier.uri http://cardinalscholar.bsu.edu/handle/123456789/197519
dc.description.abstract Previous research on misconceptions and myths haves generally been done within the educational system as a ways to understand how to abate their effects on understanding in sciences. However, the vast majority of this research has not employed cognitive theory and as a consequence does not have sufficient measures to detect misconceptions as distinct from myths. This manuscript defines a myths as a specific, known, belief that is inconsistent with widely supported research whereas a misconception is a belief that is false but inferred from other information. This manuscript describes a way to distinguish myths from misconceptions by use of response-times and non-traditional survey analyses: data mining using classification and regression trees (CART). Results from the analyses suggest CART provides highly predictable models compared to traditional ANOVA and Logistic Regression alternatives. Furthermore, analyses provide additional support that two memory systems are in use during conceptual recognition tasks. en_US
dc.description.sponsorship Department of Psychological Science
dc.subject.lcsh Myth -- Psychological aspects.
dc.subject.lcsh Common fallacies -- Psychological aspects.
dc.subject.lcsh Recollection (Psychology)
dc.subject.lcsh Reaction time.
dc.title Distinguishing misconceptions from myths using traditional and classification analyses to explore response time as a discriminator en_US
dc.title.alternative Title on signature form: Distinguishing myths from misconceptions : using traditional and classficiation analyses to explore response time as an indicator of myths
dc.type Research paper (M.A.), 3 hrs.
dc.description.degree Thesis (M.A.) en_US
dc.identifier.cardcat-url http://liblink.bsu.edu/catkey/1736841


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  • Research Papers [5068]
    Research papers submitted to the Graduate School by Ball State University master's degree candidates in partial fulfillment of degree requirements.

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