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 …

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 …

This book is concerned with the principle of causation and with the methodology of causal
investigation in the social sciences. The 14 chapters are distributed among 4 major …

Social scientists routinely draw conclusions about cause and effect from their data. This
book spells out the pre-statistical assumptions of multivariate research and explains in …

Three different understandings of causation, each importantly shaped by the work of
statisticians, are examined from the point of view of their value to sociologists: causation as …

All univocal analyses of causation face counterexamples. An attractive response to this
situation is to become a pluralist about causal relationships.“Causal pluralism” is itself …

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 …

Causality is a very intuitive notion that is difficult to make precise without lapsing into
tautology. Two ingredients are central to any definition:(1) a set of possible outcomes …

The human propensity to think in causal terms is well known (Young 1978), and the manner
in which judgments about causation are made in everyday life has been studied extensively …

Written by one of the preeminent researchers in the field, this book provides a
comprehensive exposition of modern analysis of causation. It shows how causality has …