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Item Details
Title: STATISTICAL MODELS AND CAUSAL INFERENCE
A DIALOGUE WITH THE SOCIAL SCIENCES
By: David A. Freedman, David Collier (Editor), Jasjeet S. Sekhon (Editor)
Format: Paperback

List price: £41.99
Our price: £36.74
Discount:
12.5% off
You save: £5.25
ISBN 10: 0521123909
ISBN 13: 9780521123907
Availability: Usually dispatched within 1-3 weeks.
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Publisher: CAMBRIDGE UNIVERSITY PRESS
Pub. date: 23 November, 2009
Pages: 416
Description: David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.
Synopsis: 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.
Publication: UK
Imprint: Cambridge University Press
Returns: Returnable
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