Skip to main content
Article
An array of qualitative analysis tools: A call for data analysis triangulation
RSEM Faculty Publications
  • Nancy L. Leech, School of Education and Human Development at the University of Colorado Denver
  • Anthony J. Onwuegbuzie, Sam Houston State University
Document Type
Article
Publication Date
1-1-2007
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 qualitative 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 use real qualitative data to help distinguish the various types of analyses. Furthermore, flowcharts and tables are provided to help delineate when to choose each type of analysis. Finally, the role of computer-assisted software in the qualitative data-analytic process is discussed. As such, use of the analyses outlined in this article should help to promote rigor in qualitative research. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Citation Information
Nancy L. Leech and Anthony J. Onwuegbuzie. "An array of qualitative analysis tools: A call for data analysis triangulation" (2007)
Available at: http://works.bepress.com/nancy-leech/94/