Document Type
Conference Paper
Journal/Book Title/Conference
2006 Annual Meeting of the American Educational Research Association
Publication Date
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.
Recommended Citation
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.
Included in
Cognition and Perception Commons, Cognitive Psychology Commons, Educational Assessment, Evaluation, and Research Commons, Educational Psychology Commons
