Open AccessGeneralising from Qualitative Research (GQR): A New Old Approach
Author(s) -
John Guenther,
Ian Falk
Publication year - 2019
Publication title -
the qualitative report
Language(s) - English
Resource type - Journals
ISSN - 2160-3715
DOI - 10.46743/2160-3715/2019.3478
Subject(s) - normative , qualitative research , epistemology , process (computing) , computer science , domain (mathematical analysis) , empirical research , management science , sociology , cognitive science , psychology , social science , mathematics , engineering , philosophy , mathematical analysis , operating system
In this paper, the authors debunk a long-held myth that generalisation is primarily the domain of quantitative research. Based on a review of modern and historical approaches to generalisation, they argue that generalisation from qualitative research (GQR) can be achieved, not through a process of self-justification, but through defensible and rigorous research design and methods. The authors go on to consider examples from their own qualitative research work spanning the last 20 years. From these examples they offer mechanisms that qualitative researchers can employ to generalise from their findings. They suggest that generalisation is achieved through a process of generalisation cycles (GCs) which produce normative truth statements (NTSs), which in turn can be contested or confirmed with theory and empirical evidence.