Generalizing Generalizability in Information Systems Research

Allen S. Lee () and Richard L. Baskerville ()
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Allen S. Lee: Virginia Commonwealth University, 1015 Floyd Avenue, Room 4146, Richmond, Virginia 23284-4000
Richard L. Baskerville: Georgia State University, 33 Gilmer Street SE, Atlanta, Georgia 30303-3000

Information Systems Research, 2003, vol. 14, issue 3, 221-243

Abstract: 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 affirms 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 (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (95)

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