Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
by Stephen L. Morgan, Christopher Winship
This book delves into counterfactuals and causal inference, offering essential methods and principles for social research. It equips researchers with analytical tools to identify causal effects amid observational data challenges, emphasizing rigorous approaches to confounding and bias. Ideal for advancing empirical social science studies.
About This Book
Counterfactuals and Causal Inference offers a comprehensive guide to methods and principles for conducting social research. It focuses on analytical approaches that enable researchers to draw causal conclusions from observational data.
The book emphasizes the role of counterfactual reasoning in establishing causality, providing tools to address confounding factors and selection biases in social studies.
Authors Stephen L. Morgan and Christopher Winship present frameworks that integrate statistical techniques with theoretical insights, making it a key resource for social scientists seeking robust inference methods.
Part of the Analytical Methods for Social Research series, it equips readers with practical strategies to enhance the validity of their research findings.
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