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Article
Qualitative Data Analysis: A Compendium of Techniques and a Framework for Selection for School Psychology Research and Beyond
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
1-1-2008
Abstract
Qualitative researchers in school psychology have a multitude of analyses available for data. The purpose of this article is to present several of the most common methods for analyzing qualitative data. Specifically, the authors describe the following 18 qualitative analysis techniques: method of constant comparison analysis, keywords-in-context, word count, classical content analysis, domain analysis, taxonomic analysis, componential analysis, conversation analysis, discourse analysis, secondary analysis, membership categorization analysis, narrative analysis, qualitative comparative analysis, semiotics, manifest content analysis, latent content analysis, text mining, and microinterlocutor analysis. Moreover, the authors present a new framework for organizing these analysis techniques via the four major sources of qualitative data collected: talk, observations, drawings/photographs/videos, and documents. As such, the authors hope that our compendium of analytical techniques should help qualitative researchers in school psychology and beyond make informed choices for their data analysis tools. (Contains 2 tables and 1 figure.)
Citation Information
Nancy L. Leech and Anthony J. Onwuegbuzie. "Qualitative Data Analysis: A Compendium of Techniques and a Framework for Selection for School Psychology Research and Beyond" (2008)
Available at: http://works.bepress.com/nancy-leech/92/