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Statistical Modeling and Inference for Social Science
Language: en
Pages: 393
Authors: Sean Gailmard
Categories: Business & Economics
Type: BOOK - Published: 2014-06-09 - Publisher: Cambridge University Press

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Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the
Statistical Models and Causal Inference
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Pages: 416
Authors: David A. Freedman
Categories: Mathematics
Type: BOOK - Published: 2010 - Publisher: Cambridge University Press

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David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.
Handbook of Statistical Modeling for the Social and Behavioral Sciences
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Pages: 603
Authors: G. Arminger
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Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

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Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format,
Statistical Inference as Severe Testing
Language: en
Pages: 503
Authors: Deborah G. Mayo
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Type: BOOK - Published: 2018-09-20 - Publisher: Cambridge University Press

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Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover
Statistical Models
Language: en
Pages: 459
Authors: David A. Freedman
Categories: Mathematics
Type: BOOK - Published: 2009-04-27 - Publisher: Cambridge University Press

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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