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Relations among Dimensions of Statistical Knowledge

Bibliographic Data

ID20284869
AuthorsCarl J Huberty (University of Georgia), Janna Dresden (University of Georgia), Byung-Gee Bak (0000-0002-3505-3933, University of Georgia)
Year1993
Volume53
Issue2
Pages523-532
Publication date1993-06-01
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0013164493053002022
OpenAlexW2102953771
LanguageEN
Citations received1
References cited6

Ways of knowing statistical concepts are reviewed. A general three-category structure for knowing is proposed: (a) calculations, (b) propositions, and (c) conceptual understandings. Test items were developed that correspond to the first category and to a partitioning of the two latter categories into words and symbols. Thirty-one items covering the five types were administered to 57 graduate students. Correlation of student scores on the 10-item calculations subtest and the 10-item propositions subtest was .61, whereas the other two intercategory correlations were .40 (Calculations vs. Conceptual Understandings) and .37 (Propositions vs. Conceptual Understandings). The results suggest that students should be tested in more than one domain, and that instructors should expect students to develop conceptual understanding in addition to skills in computation

Cognitive psychology · Concept learning · Conceptual framework · Correlation · Domain (mathematical analysis) · Epistemology · Mathematics education · Statistical analysis · Statistics · Test (biology) · Educational Assessment and Pedagogy · Learning Styles and Cognitive Differences · Mathematics · Psychology · Social Psychology · Statistics Education and Methodologies

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Citations per year0.08
Citation span2013 - 2013 (1)
Highly citedNo

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