Open AccessIs it any Clearer? Generic Qualitative Inquiry and the VSAIEEDC Model of Data Analysis
Author(s) -
Dawn M Kennedy
Publication year - 2016
Publication title -
the qualitative report
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 35
ISSN - 2160-3715
DOI - 10.46743/2160-3715/2016.2444
Subject(s) - qualitative research , qualitative analysis , computer science , abstraction , process (computing) , qualitative property , boilerplate text , management science , epistemology , data science , sociology , engineering , programming language , social science , philosophy , machine learning
This article was designed to assist the novice researcher in determining if a generic qualitative research approach is appropriate for their intended research or dissertation. The article is intended to offer clarification of the approach and builds upon Caelli, Ray, and Mill’s (2003) call for standardized generic qualitative inquiry guidelines. The article takes the researcher through a process of self-evaluation to determine alignment with the five qualitative traditions. While generic qualitative inquiry has been posited to be an easy route, no experience necessary, it’s reliance on the method and tools of traditional qualitative methodologies, quickly can lead the novice researcher to a muddied theoretical mess. This article offers a boilerplate generic analysis method to be used when the approach is generic qualitative inquiry, leaving a clear and concise stand-alone path for the novice researcher. The featured model is the VSAIEEDC method created by seminal author Dr. Roland Persson. The VSAIEEDC model is a cognition-based analysis method with seven steps: variation, specification, abstraction, internal verification, external verification, demonstration and conclusion. This article sought to contribute to the critical discussion of the foundation of generic qualitative inquiry and offers an analysis method in alignment with the fundamentals of a generic qualitative approach.