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Concept Mapping as an Alternative Approach for the Analysis of Open-Ended Survey Responses
Kristin M. Jackson
Cornell University, kmj13{at}cornell.edu
William M. K. Trochim
Cornell University
This article presents concept mapping as an alternative method to existing code-based and word-based text analysis techniques for one type of qualitative text dataopen-ended survey questions. It is argued that the concept mapping method offers a unique blending of the strengths of these approaches while minimizing some of their weaknesses. This method appears to be especially well suited for the type of text generated by open-ended questions as well for organizational research questions that are exploratory in nature, aimed at scale or interview question development, and/or developing conceptual coding schemes. A detailed example of concept mapping on open-ended survey data is presented. Reliability and validity issues associated with concept mapping are also discussed.
Organizational Research Methods, Vol. 5, No. 4,
307-336 (2002)
DOI: 10.1177/109442802237114

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