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Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the

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

Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format,

Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the technique