In spring of 2010, Howard Kaplan invited me to compile a volume on sociological
methodology for the Springer series, Handbooks of Sociology and Social Research. I …

This book challenges the divide between qualitative and quantitative approaches that is now
institutionalized within social science. Rather than suggesting the'mixing'of methods …

Causality was at the center of the early history of structural equation models (SEMs) which
continue to serve as the most popular approach to causal analysis in the social sciences …

Social scientists have identified a need to move beyond the analysis of correlation among
variables to the study of causal mechanisms that link them. Nicholas Weller and Jeb Barnes …

This article reviews recent advances in causal inference relevant to sociology. We focus on
a selective subset of contributions aligning with four broad topics: causal effect identification …

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 …

Thoroughly updated to reflect changes in both research and methods, this Third Edition of
Remler and Van Ryzin's innovative, standard-setting text is imbued with a deep commitment …

In recent years, the importance of mechanism-centered explanation has become an article
of faith within the social sciences, uniting researchers from a wide variety of methodological …

The words cause and causal are often used by social scientists. In using these words, most
social scientists seek to distinguish causation from association, recognizing that causes are …