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by Julian Reiss

  • ISBN: 0415394228
  • Category: Other
  • Author: Julian Reiss
  • Subcategory: Medicine & Health Sciences
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  • Language: English
  • Publisher: Routledge; 1 edition (June 4, 2015)
  • Pages: 268 pages
  • FB2 size: 1310 kb
  • EPUB size: 1451 kb
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Download Causation, Evidence, and Inference (Routledge Studies in the Philosophy of Science) fb2

Julian Reiss (PhD 2002, LSE) is Professor of Philosophy at Durham University and Co-Director of the Centre for Humanities Engaging Science and Society (CHESS).

Julian Reiss (PhD 2002, LSE) is Professor of Philosophy at Durham University and Co-Director of the Centre for Humanities Engaging Science and Society (CHESS). Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits.

Julian Reiss (PhD 2002, LSE) is Professor of Philosophy at Durham University and Co-Director of the Centre for Humanities . Series: Routledge Studies in the Philosophy of Science (Book 15). Hardcover: 268 pages.

Hardback – 2020-01-31 Routledge Routledge Studies in the Philosophy of Science. Causation, Evidence, and Inference

Hardback – 2020-01-31 Routledge Routledge Studies in the Philosophy of Science. Causation, Evidence, and Inference. In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences.

New Books in Philosophy New Books in Politics & Society New Books Network June 15, 2016 Carrie Figdor. Reiss, who is Professor of Philosophy at Durham University, argues that causal claims depend on contextual factors, such as background knowledge and the purpose for making the claim, and that such claims are pluralistic due to the variety of kinds of evidence from which they can be inferred. Focusing on causal claims in the biomedical and social sciences, he provides a critical overview of prominent theories of causation and evidence, and argues that his view can overcome many of the problems that have been raised for these views.

Causation, Evidence, and Inference (Routledge Studies in the Philosophy of Science).

In this book, she presents her complete program for how we learn about the world by being "shrewd inquisitors of error .

Causation, Evidence, and Inference. Julian Reiss - 2009 - Philosophy of the Social Sciences 39 (1):20-40. An Incremental Approach to Causal Inference in the Behavioral Sciences. Keith A. Markus - 2014 - Synthese 191 (10):2089-2113. The Logic of Causal Methods in Social Science. Frederick S. Ellett Jr & David P. Ericson - 1983 - Synthese 57 (1):67 - 82.

In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. 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

In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences

In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences.

THE ROUTLEDGE COMPANION TO PHILOSOPHY OF SCIENCE The Routledge Companion to Philosophy .

THE ROUTLEDGE COMPANION TO PHILOSOPHY OF SCIENCE The Routledge Companion to Philosophy of Science is an outstanding guide to the major themes, movements, debates and topics in philosophy of science.

In this book, Reiss argues in favor 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.



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