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Statistical Modeling and Inference for Social Science

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Statistical Modeling and Inference for Social Science

Автор

Sean Gailmard (University Of California, Berkeley)

Written specifically for graduate students and practitioners beginning social science research, this textbook introduces the essential statistical tools, models and theories that make up the social scientist's toolkit. Focusing on the connection between statistical procedures and social science theory, Sean Gailmard demonstrates how social scientists assess relationships between variables.
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