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Utilizing the Rasch Model to Develop and Evaluate Items for the Tacit Knowledge Inventory for Superintendents (TKIS)

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  • Christian E. Mueller

    (University of Memphis, USA)

  • Kelly D. Bradley

    (University of Kentucky, USA)

Abstract

Tacit knowledge was originally introduced into the professional literature by Michael Polanyi and later made popular by researchers in a variety of domains. Measuring this implicit form of procedural knowledge requires multiple approaches to adequately “capture” what is often known, but not easily articulated. The present study combines use of Sternberg et al.’s framework for capturing domain-specific tacit knowledge with that of Rasch modeling to develop and validate items for use on a newly developed tacit knowledge inventory. Development of the Tacit Knowledge Inventory for Superintendents (TKIS) occurred in three phases, including two phases of piloting and Rasch analysis. For illustrative purposes, presentation of results is limited to the Rasch analyses conducted on interpersonal tacit knowledge items. However, the methodology extends its usefulness to researchers and practitioners to guide the development process of similar assessments.

Suggested Citation

  • Christian E. Mueller & Kelly D. Bradley, 2009. "Utilizing the Rasch Model to Develop and Evaluate Items for the Tacit Knowledge Inventory for Superintendents (TKIS)," International Journal of Knowledge Management (IJKM), IGI Global, vol. 5(3), pages 73-93, July.
  • Handle: RePEc:igg:jkm000:v:5:y:2009:i:3:p:73-93
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