A call for enhancing saturation at the qualitative data analysis stage via the use of multiple qualitative data analysis approaches

Amber N. Sechelski, Anthony J. Onwuegbuzie

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

The analysis of data represents the most important and difficult step in the qualitative research process. Thus, recently, a few authors have written methodological works that contain discussion of an array of qualitative data analysis approaches. Yet, despite the call of Leech and Onwuegbuzie (2007) a decade ago for qualitative researchers to analyze a given set of qualitative data in multiple ways, this practice has been largely ignored. Thus, in this article, we bolster the argument for conducting multiple data analyses. In particular, we use data stemming from an interview to demonstrate how using five qualitative data analysis approaches (e.g., constant comparison analysis, discourse analysis) helped to enhance what we refer to as analysis saturation, thereby increasing verstehen (i.e., understanding). Keywords: Qualitative Data Analysis, Qualitative Analysis, Multiple Qualitative Data Analysis Approaches, Saturation, Analysis Saturation.

Original languageEnglish
Article number6
Pages (from-to)795-821
Number of pages27
JournalQualitative Report
Volume24
Issue number4
Publication statusPublished - Apr 2019
Externally publishedYes

Keywords

  • Analysis saturation
  • Multiple qualitative data analysis approaches
  • Qualitative analysis
  • Qualitative data analysis
  • Saturation

ASJC Scopus subject areas

  • Social Psychology
  • Cultural Studies
  • Education

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