Abstract
When done well, grounded theory is an excellent qualitative research tool for explaining new or complex phenomena. Still, grounded theory is interpretative in nature, raising questions about the levels of reliability and validity in grounded theory studies. This paper argues that since grounded theory analysis methods are analogous to conceptual data modeling methods, data modeling techniques may be employed to enhance the validity and reliability of grounded theory research.
Recommended Citation
McKnight, D. Harrison; Everest, Gordon; and Davis, Gordon, "Better Analysis by Analogy: Applying Data Modeling Techniques to Grounded Theory" (1999). AMCIS 1999 Proceedings. 243.
https://aisel.aisnet.org/amcis1999/243
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