Isbn: 9780521123907 - statistical models and causal inference: a dialogue with the social sciences (26 resultados)

Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condición: very_good. This book is in Very good condition. There may be a few flaws like shelf wear and some light wear.

Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Condición: Gut. 416 pp. Slightly creased at spine, otherwise well preserved copy 324 Sprache: Englisch Gewicht in Gramm: 612.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Paperback. Condición: 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. …

Paperback. Condición: New.

Condición: New.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: new. New Copy. Customer Service Guaranteed.

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

Taschenbuch. Condición: 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.…

Condición: 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.…

Condición: 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. . . . .…

Paperback. Condición: 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. …

Condición: New. Print on Demand pp. 416.

Condición: New. Print on Demand pp. 416.

Condición: New. PRINT ON DEMAND pp. 416.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Condición: 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.…

Condición: 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.…

Taschenbuch. Condición: Neu. Statistical Models and Causal Inference | David A. Freedman | Taschenbuch | Kartoniert / Broschiert | Englisch | 2015 | Cambridge University Press | EAN 9780521123907 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…