An array of qualitative data analysis tools: A call for data analysis triangulation.
University of Colorado Denver · Sam Houston State University
Abstract
One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizing data analysis triangulation, in order to understand phenomenon more fully for school psychology research and beyond. The authors describe seven quali-tative analysis tools: methods of constant comparison, keywords-in-context, word count, classical content analysis, domain analysis, taxonomic analysis, and componential analysis. Then, the authors outline when to use each type of analysis. In so doing, the authors…
Citation impact
- FWCI
- 69.12
- Percentile
- 100%
- References
- 67
Authors
2Topics & keywords
- Psychology
- Triangulation
- Qualitative analysis
- Data analysis
- Qualitative property
- Statistical analysis
- Qualitative research
- Data science
- Quality Education