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Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research) - Softcover
Synopsis
The essential features of the counterfactual model of causality for observational data analysis are presented with examples.
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About the Authors
Stephen L. Morgan is Associate Professor of Sociology and the current Director of the Center for the Study of Inequality at Cornell University. His previous publications include On the Edge of Commitment: Educational Attainment and Race in the United States (2005).
Christopher Winship is Diker-Tishman Professor of Sociology at Harvard University. For the past twelve years he has served as editor of Sociological Methods and Research. He has published widely in a variety of journals and edited volumes.
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Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
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Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
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Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
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Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
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Counterfactuals and causal inference. Methods and principles for social research - Stephen L. Morgan
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Counterfactuals and Causal Inference Methods and Principles for Social Research
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