Quantitative Cross-National Analysis as a Research Tool in the Sociology of Developing Countries: A Critical Examination

Abstract

Quantitative cross-national analysis (CNA) is one of the most frequently used research methods in empirical sociology, particularly in research on developing countries. Its frequent application implies that CNA is a useful instrument that yields trustworthy results. However, numerous criticisms, which call into question the method's legitimacy, can be found in the relevant literature. This article discusses the most important among these criticisms, and explores three particularly problematic issues: comparability of national societies, case independence, and accuracy of `official' data material. Although these issues represent potential difficulties and shortcomings of quantitative cross-national research, there are elegant solutions. The article provides information about these solutions and demonstrates that CNA is indeed a useful research tool for sociologists.