Generalizing Generalizability in Information Systems Research.

Author List: Lee, Allen S.; Baskerville, Richard L.;

Information Systems Research, 2003, Volume 14, Issue 3, Page 221-243.

Generalizability is a major concern to those who do, and use, research. Statistical, sampling-based generalizability is well known, but methodologists have long been aware of conceptions of generalizability beyond the statistical. The purpose of this essay is to clarify the concept of generalizability by critically examining its nature, illustrating its use and misuse, and presenting a framework for classifying its different forms. The framework organizes the different forms into four types, which are defined by the distinction between empirical and theoretical kinds of statements. On the one hand, the framework of firms the bounds within which statistical, sampling-based generalizability is legitimate. On the other hand, the framework indicates ways in which researchers in information systems and other fields may properly lay claim to generalizability, and thereby broader relevance, even when their inquiry falls outside the bounds of sampling-based research.

Keywords: Research Methodology;Positivist Research;Interpretive Research;Quantitative Research;Qualitative Research;Case Studies;Research Design;Generalizability

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#175	0.512	taxonomy systems different concept isd alternative generalization mechanistic distinction types generalizability theoretical speech richer induction original form inductive empirical organic
#222	0.225	research researchers framework future information systems important present agenda identify areas provide understanding contributions using literature studies paper potential review
#21	0.177	research information systems science field discipline researchers principles practice core methods area reference relevance conclude set focus propose perspective inquiry