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Books > Social sciences > Sociology, social studies > Social institutions
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Statistical Models and Causal Inference - A Dialogue with the Social Sciences (Hardcover)
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Statistical Models and Causal Inference - A Dialogue with the Social Sciences (Hardcover)
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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.
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