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Article
Methodological challenges for identifying and coding diverse knowledge elements in interview data
2006 Annual Meeting of the American Educational Research Association
  • Victor R Lee, Utah State University
  • Moshe Krakowski, Yeshiva University
  • Bruce Sherin, Northwestern University
  • Megan Bang, University of Washington - Seattle Campus
  • Gregory Dam, Northwestern University
Document Type
Conference Paper
Publication Date
1-1-2006
Abstract

This paper, as part of a symposium on the analysis of clinical interview data and the development of a framework for analyzing students' intuitive science knowledge, identifies and discusses methodological challenges encountered when specifying the knowledge elements and resources are invoked dynamically during a clinical interview. Drawing from interviews with middle school students about the seasons and an analysis of knowledge in terms of 'nodes', two classes of problems are identified: those associated with identification of nodes and those associated with their application as codes to a transcript-based data corpus. We posit that these challenges are common ones associated with any form of fine-grained knowledge analysis and describe some analytical decisions we made in light of these challenges.

Citation Information
Lee, V., Krakowski, M., Sherin, B., Bang, M., & Dam, G. (2006). Methodological challenges for identifying and coding diverse knowledge elements in interview data. Paper presented at the 2006 Annual Meeting of the American Educational Research Association, San Francisco, CA.