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Paperback. Condition: New. 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.
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Published by Cambridge University Press, 2011
ISBN 10: 0521123909 ISBN 13: 9780521123907
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Condition: New. David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences. Editor(s): Collier, David; Sekhon, Jasjeet S.; Stark, Philip B. Num Pages: 416 pages, black & white illustrations, black & white tables, figures. BIC Classification: JHB; PBT. Category: (P) Professional & Vocational. Dimension: 240 x 163 x 23. Weight in Grams: 624. . 2009. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
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Paperback. Condition: New. 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.
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Published by Cambridge University Press, 2009
ISBN 10: 0521123909 ISBN 13: 9780521123907
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Condition: New. David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences. Editor(s): Collier, David; Sekhon, Jasjeet S.; Stark, Philip B. Num Pages: 416 pages, black & white illustrations, black & white tables, figures. BIC Classification: JHB; PBT. Category: (P) Professional & Vocational. Dimension: 240 x 163 x 23. Weight in Grams: 624. . 2009. 1st Edition. Paperback. . . . .
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ISBN 10: 0521123909 ISBN 13: 9780521123907
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Hardcover. Condition: Brand New. 1st edition. 416 pages. 9.50x6.50x1.05 inches. In Stock.
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Published by Cambridge University Press, 2009
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Condition: New. David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences. Editor(s): Collier, David; Sekhon, Jasjeet S.; Stark, Philip B. Num Pages: 416 pages, Illustrations. BIC Classification: JHB; PBT. Category: (P) Professional & Vocational. Dimension: 249 x 169 x 28. Weight in Grams: 762. . 2010. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Published by Cambridge University Press, 2010
ISBN 10: 0521195004 ISBN 13: 9780521195003
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Condition: New. David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences. Editor(s): Collier, David; Sekhon, Jasjeet S.; Stark, Philip B. Num Pages: 416 pages, Illustrations. BIC Classification: JHB; PBT. Category: (P) Professional & Vocational. Dimension: 249 x 169 x 28. Weight in Grams: 762. . 2010. Illustrated. hardcover. . . . .
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ISBN 10: 0521123909 ISBN 13: 9780521123907
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Paperback. Condition: new. Paperback. 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. David A. Freedman presents here a definitive synthesis of his views on the foundations and limitations of statistical modeling in the social sciences, He maintains that many new technical approaches to statistical modeling constitute not progress, but regress, and he shows why these methods are not reliable. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condition: new. Paperback. 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. David A. Freedman presents here a definitive synthesis of his views on the foundations and limitations of statistical modeling in the social sciences, He maintains that many new technical approaches to statistical modeling constitute not progress, but regress, and he shows why these methods are not reliable. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.