Network analysis for the visualization and analysis of qualitative data
| Autor: | Jennifer J. Pokorny, Baljinder K. Sahdra, Alex Norman, Clifford D. Saron, Anthony P. Zanesco, Susan Bauer-Wu |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Information retrieval Computer science Graph theory Qualitative property 02 engineering and technology Models Theoretical 01 natural sciences Visualization 010601 ecology Proof of concept Data Interpretation Statistical 020204 information systems 0202 electrical engineering electronic engineering information engineering Humans Psychology Psychology (miscellaneous) Row Qualitative Research Qualitative research Network analysis Coding (social sciences) |
| Popis: | We present a novel manner in which to visualize the coding of qualitative data that enables representation and analysis of connections between codes using graph theory and network analysis. Network graphs are created from codes applied to a transcript or audio file using the code names and their chronological location. The resulting network is a representation of the coding data that characterizes the interrelations of codes. This approach enables quantification of qualitative codes using network analysis and facilitates examination of associations of network indices with other quantitative variables using common statistical procedures. Here, as a proof of concept, we applied this method to a set of interview transcripts that had been coded in 2 different ways and the resultant network graphs were examined. The creation of network graphs allows researchers an opportunity to view and share their qualitative data in an innovative way that may provide new insights and enhance transparency of the analytical process by which they reach their conclusions. (PsycINFO Database Record (c) 2019 APA, all rights reserved) |
| Databáze: | OpenAIRE |
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