Statistical Models and Causal Inference : A Dialogue with the Social Sciences Paperback / softback
by David A. Freedman
Edited by David (University of California, Berkeley) Collier, Jasjeet S. (University of California, Berkeley) Sekhon, Philip B. (University of California, Berkeley) Stark
Paperback / softback
- Information
Description
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.
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:416 pages, Worked examples or Exercises
- Publisher:Cambridge University Press
- Publication Date:23/11/2009
- Category:
- ISBN:9780521123907
Other Formats
- PDF from £31.44
- Hardback from £63.95
- EPUB from £31.44
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:416 pages, Worked examples or Exercises
- Publisher:Cambridge University Press
- Publication Date:23/11/2009
- Category:
- ISBN:9780521123907