Statistical models and causal inference: a dialogue with the social sciences
David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman ma...
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Weitere beteiligte Personen: | , , |
Format: | E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cambridge
Cambridge University Press
2009
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Links: | https://doi.org/10.1017/CBO9780511815874 |
Zusammenfassung: | David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with scepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor 'low-tech' approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This book offers an integrated presentation of Freedman's views. |
Umfang: | 1 Online-Ressource (xvi, 399 Seiten) |
ISBN: | 9780511815874 |
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spelling | Freedman, David 1938-2008 Statistical models and causal inference a dialogue with the social sciences David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark Statistical Models & Causal Inference Cambridge Cambridge University Press 2009 1 Online-Ressource (xvi, 399 Seiten) txt c cr David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with scepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor 'low-tech' approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This book offers an integrated presentation of Freedman's views. Collier, David 1942- Sekhon, Jasjeet Singh 1971- Stark, Philip B. Erscheint auch als Druck-Ausgabe 9780521123907 Erscheint auch als Druck-Ausgabe 9780521195003 |
spellingShingle | Freedman, David 1938-2008 Statistical models and causal inference a dialogue with the social sciences |
title | Statistical models and causal inference a dialogue with the social sciences |
title_alt | Statistical Models & Causal Inference |
title_auth | Statistical models and causal inference a dialogue with the social sciences |
title_exact_search | Statistical models and causal inference a dialogue with the social sciences |
title_full | Statistical models and causal inference a dialogue with the social sciences David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark |
title_fullStr | Statistical models and causal inference a dialogue with the social sciences David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark |
title_full_unstemmed | Statistical models and causal inference a dialogue with the social sciences David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark |
title_short | Statistical models and causal inference |
title_sort | statistical models and causal inference a dialogue with the social sciences |
title_sub | a dialogue with the social sciences |
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