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Book Cover
E-book
Author Reiss, Julian, author.

Title Causation, evidence, and inference / by Julian Reiss
Published New York : Routledge, Taylor & Francis Group, 2015

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Description 1 online resource
Series Routledge studies in the philosophy of science ; 15
Routledge studies in the philosophy of science ; 15.
Contents pt. 1. Evidence -- pt. 2. Singular causation -- pt. 3. Causal laws -- pt. 4. Semantics
Summary "In this book, Reiss argues in favour of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. There is no doubt that the sciences employ a vast array of techniques to address causal questions such as controlled experiments, randomized trials, statistical and econometric tools, causal modeling and thought experiments. But how do these different methods relate to each other and to the causal inquiry at hand? Reiss argues that there is no "gold standard" in settling causal issues against which other methods can be measured. Rather, the various methods of inference tend to be good only relative to certain interpretations of the word "cause", and each interpretation, in turn, helps to address some salient purpose (prediction, explanation or policy analysis) but not others. The main objective of this book is to explore the metaphysical and methodological consequences of this view in the context of numerous cases studies from the natural and social sciences"-- Provided by publisher
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (EBSCO, viewed June 1, 2015)
Subject Causation.
Inference.
Evidence.
PHILOSOPHY -- Epistemology.
Causation
Evidence
Inference
Form Electronic book
ISBN 9781315771601
1315771608
9781317675884
1317675886
9781317675891
1317675894
9781317675877
1317675878
0415394228
9780415394222
9780815371984
0815371985