Statistical models and causal inference :: a dialogue with the social sciences /

"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. Freed...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Freedman, David, 1938-2008
Weitere Verfasser: Collier, David, 1942-, Sekhon, Jasjeet Singh, 1971-, Stark, Philip B.
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge ; New York : Cambridge University Press, 2010.
Schlagworte:
Online-Zugang:Volltext
Zusammenfassung:"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"--Provided by publisher.
Beschreibung:1 online resource (xvi, 399 pages) : illustrations
Bibliographie:Includes bibliographical references (pages 357-392) and index.
ISBN:9780511688836
0511688830
9780511691065
0511691068
9780511815874
0511815875
9781107384491
1107384494

Es ist kein Print-Exemplar vorhanden.

Volltext öffnen