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Acceptibility, Evidence, and Severity

Acceptibility, Evidence, and Severity The notion of a severe test has played an important methodological role in the history of science. But it has not until recently been analyzed in any detail. We develop a generally Bayesian analysis of the notion, compare it with Deborah Mayo’s error-statistical approach by way of sample diagnostic tests in the medical sciences, and consider various objections to both. At the core of our analysis is a distinction between evidence and confirmation or belief. These notions must be kept separate if mistakes are to be avoided; combined in the right way, they provide an adequate understanding of severity. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Synthese Springer Journals

Acceptibility, Evidence, and Severity

Synthese , Volume 148 (2) – Feb 13, 2004

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References (103)

Publisher
Springer Journals
Copyright
Copyright © 2006 by Springer
Subject
Philosophy; Philosophy of Science; Epistemology; Logic; Philosophy of Language; Metaphysics
ISSN
0039-7857
eISSN
1573-0964
DOI
10.1007/s11229-004-6222-6
Publisher site
See Article on Publisher Site

Abstract

The notion of a severe test has played an important methodological role in the history of science. But it has not until recently been analyzed in any detail. We develop a generally Bayesian analysis of the notion, compare it with Deborah Mayo’s error-statistical approach by way of sample diagnostic tests in the medical sciences, and consider various objections to both. At the core of our analysis is a distinction between evidence and confirmation or belief. These notions must be kept separate if mistakes are to be avoided; combined in the right way, they provide an adequate understanding of severity.

Journal

SyntheseSpringer Journals

Published: Feb 13, 2004

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