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Extending the Rule Space Methodology to a Semantically-Rich Domain: Diagnostic Assessment in Architecture

Author

Listed:
  • Irvin R. Katz
  • Michael E. Martinez
  • Kathleen M. Sheehan
  • Kikumi K. Tatsuoka

Abstract

This paper presents a technique for applying the Rule Space methodology of cognitive diagnosis to assessment in a semantically-rich domain. Previous applications of Rule Space—all in simple, well-structured domains—based diagnosis on examinees’ ability to perform individual problem-solving steps. In a complex domain, however, test items might be so different from one another that the problem-solving steps used for one item are unrelated to the steps used to solve another item. The technique presented herein extends Rule Space’s applicability by basing diagnosis on item characteristics that are more abstract than individual problem-solving steps. A cognitive model of problem-solving motivates selection of characteristics in order to maintain the connection between an examinee’s problem-solving skill and his/her diagnosis. To test the extended Rule Space procedure, data were collected from 122 architects of three ability levels (students, architecture interns, and professional architects) on a 22-item test of architectural knowledge. Rule Space provided diagnostic reporting for between 40 and 90% of examinees. The findings support the effectiveness of Rule Space in a complex domain.

Suggested Citation

  • Irvin R. Katz & Michael E. Martinez & Kathleen M. Sheehan & Kikumi K. Tatsuoka, 1998. "Extending the Rule Space Methodology to a Semantically-Rich Domain: Diagnostic Assessment in Architecture," Journal of Educational and Behavioral Statistics, , vol. 23(3), pages 254-278, September.
  • Handle: RePEc:sae:jedbes:v:23:y:1998:i:3:p:254-278
    DOI: 10.3102/10769986023003254
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