Sociologists routinely employ regression analysis and a variety of related statistical models
to draw causal inferences from survey data. Typically, the parameters of the models are …

Throughout human history, causal knowledge has been highly valued by laymen and
scientists alike. To be sure, both the nature of the causal relation and the conditions under …

While I find myself in close agreement with much of what Freedman has to say about much
of the empirical research using regression-type analyses, I find his comments contain …

While techniques of causal modeling have been employed in the analysis of
nonexperimental data, they have been largely ignored by social scientists who deal with …

This paper is about the logic of interpreting recursive causal theories in sociology. We
review the distinction between associations and effects and discuss the decomposition of …

The author is grateful to Arthur S. Goldberger, Otis Dudley Duncan, and George Bohrnstedt
for helpful comments concerning earlier papers on this topic. They share no responsibility for …

The inadvisability of using standardized regression coefficients for the purpose of comparing
causal relationships across populations or establishing causal laws is addressed by …

Causal inference for sociological data. Causal inference for sociological data. Citation Berk,
RA (1988). Causal inference for sociological data. In NJ Smelser (Ed.), Handbook of sociology …

In the history of modern sociology, no generation has failed to worry about how to
conceptualize cause and effect. While different eras have adopted different languages, both …

Causal models are formal theories stating the relationships between precisely defined
variables, and have become an indispensable tool of the social scientist. This collection of …