Methodological challenges for identifying and coding diverse knowledge elements in interview data
Year: 2006
Type: article
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.
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2141344084