This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued tha

This title provides an introduction to assumptions, algorithms, and techniques of causal Bayes nets and graphical causal models in the context of psychological

Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unifi

Human beings are active agents who can think. To understand how thought serves action requires understanding how people conceive of the relation between cause a

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