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.
Methodological challenges for identifying and coding diverse knowledge elements in interview data2006 Annual Meeting of the American Educational Research Association
Document TypeConference Paper
Citation InformationLee, 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.