2006 Annual Meeting of the American Educational Research Association
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.
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.