This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clea

Simplifies the treatment of statistical inference focusing on how to specify and interpret models in the context of testing causal theories. Simple bivariate re

CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we

David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.

This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.