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Educational and Psychological Measurement
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Relations among Dimensions of Statistical Knowledge

Carl J Huberty

University of Georgia

Janna Dresden

University of Georgia

Byung-Gee Bak

University of Georgia

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.

Educational and Psychological Measurement, Vol. 53, No. 2, 523-532 (1993)
DOI: 10.1177/0013164493053002022
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