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Pamphlet. Zustand: Very Good. Vol 2, No 2, pp. 281-293, 4to, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet, VG.

Pamphlet. Zustand: Very Good. Vol 96, No 1, pp. 141-157, 4to, Extracted from orig vol, thus begins with title page, trimmed & stapled pamphlet, else VG.

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Zustand: As New. Unread book in perfect condition.

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Paperback. Zustand: Brand New. 1st edition. 416 pages. 9.50x6.00x1.00 inches. In Stock.

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Hardcover. Zustand: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Zustand: new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: Brand New. 1st edition. 416 pages. 9.50x6.50x1.05 inches. In Stock.

Buch. Zustand: 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.

Paperback. Zustand: Brand New. 75 pages. 8.94x5.98x0.24 inches. In Stock. This item is printed on demand.

Paperback. Zustand: Brand New. 1st edition. 416 pages. 9.50x6.00x1.00 inches. In Stock. This item is printed on demand.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 regre.

Hardcover. Zustand: Brand New. 1st edition. 416 pages. 9.50x6.50x1.05 inches. In Stock. This item is printed on demand.

Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 780.

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 regre.

Buch. Zustand: Neu. Statistical Models and Causal Inference | A Dialogue with the Social Sciences | David A. Freedman | Buch | Gebunden | Englisch | 2013 | Cambridge University Press | EAN 9780521195003 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.