
A Call for Enhancing Saturation at the Qualitative Data Analysis Stage via the Use of Multiple Qualitative Data Analysis Approaches
Author(s) -
Amber Sechelski,
Anthony J. Onwuegbuzie
Publication year - 2019
Publication title -
the qualitative report
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 35
ISSN - 2160-3715
DOI - 10.46743/2160-3715/2019.3554
Subject(s) - qualitative research , qualitative property , qualitative analysis , computer science , data science , grounded theory , sociology , social science , machine learning
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).