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Statistics In Sociology, 1950–2000: A Selective Review
Adrian E. Raftery
University of Washington
Copyright American Sociological Association 2001
ABSTRACT
Statistical methods have had a successful half-century in sociology, contributing to a greatly improved standard of scientific rigor in the discipline. I identify three overlapping postwar generations of statistical methods in sociology, based on the kinds of data they address. The first generation, which started in the late 1940s, deals with cross-tabulations and focuses on measures of association and log-linear models, perhaps the area of statistics to which sociology has contributed the most. The second generation, which began in the 1960s, deals with unit-level survey data and focuses on LISREL-type causal models and event-history analysis. The third generation, starting to emerge in the late 1980s, deals with data that do not fall easily into either of these categories, either because they have a different form, such as texts or narratives, or because dependence is a crucial aspect, as with spatial or social network data. There are many new challenges, and the area is ripe for statistical research; several major institutions have recently launched new initiatives in statistics and the social sciences
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