An Array of Qualitative Data Analysis Tools: A Call for Data Analysis Triangulation

Autor/inn/en	Leech, Nancy L.; Onwuegbuzie, Anthony J.
Titel	An Array of Qualitative Data Analysis Tools: A Call for Data Analysis Triangulation
Quelle	In: School Psychology Quarterly, 22 (2007) 4, S.557-584 (28 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1045-3830
Schlagwörter	Qualitative Research; Research Methodology; School Psychology; Data Analysis; Content Analysis; Componential Analysis + Suchen Sie Ihr Suchwort? Qualitative Forschung; Research method; Forschungsmethode; Schulpsychologie; Auswertung; Inhaltsanalyse
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. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10