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  1. (1 other version)Personal Knowledge: Towards a Post-Critical Philosophy.Michael Polanyi - 1958 - Chicago: University of Chicago Press. Edited by Mary Jo Nye.
    In this work the distinguished physical chemist and philosopher, Michael Polanyi, demonstrates that the scientist's personal participation in his knowledge, in both its discovery and its validation, is an indispensable part of science itself. Even in the exact sciences, "knowing" is an art, of which the skill of the knower, guided by his personal commitment and his passionate sense of increasing contact with reality, is a logically necessary part. In the biological and social sciences this becomes even more evident. The (...)
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  • (4 other versions)The logic of scientific discovery.Karl Raimund Popper - 1934 - New York: Routledge. Edited by Hutchinson Publishing Group.
    Described by the philosopher A.J. Ayer as a work of 'great originality and power', this book revolutionized contemporary thinking on science and knowledge. Ideas such as the now legendary doctrine of 'falsificationism' electrified the scientific community, influencing even working scientists, as well as post-war philosophy. This astonishing work ranks alongside The Open Society and Its Enemies as one of Popper's most enduring books and contains insights and arguments that demand to be read to this day.
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  • (4 other versions)The Logic of Scientific Discovery.Karl Popper - 1959 - Studia Logica 9:262-265.
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  • Personal Knowledge: Towards a Post-Critical Philosophy.Louis Arnaud Reid - 1959 - British Journal of Educational Studies 8 (1):66.
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  • (1 other version)Personal Knowledge.Michael Polanyi - 1958 - Chicago,: Routledge.
    First published in 2012. Routledge is an imprint of Taylor & Francis, an informa company.
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  • Logic of Statistical Inference.Ian Hacking - 1965 - Cambridge, England: Cambridge University Press.
    One of Ian Hacking's earliest publications, this book showcases his early ideas on the central concepts and questions surrounding statistical reasoning. He explores the basic principles of statistical reasoning and tests them, both at a philosophical level and in terms of their practical consequences for statisticians. Presented in a fresh twenty-first-century series livery, and including a specially commissioned preface written by Jan-Willem Romeijn, illuminating its enduring importance and relevance to philosophical enquiry, Hacking's influential and original work has been revived for (...)
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  • Problems With Null Hypothesis Significance Testing (NHST): What Do the Textbooks Say?George A. Morgan - unknown
    The first of 3 objectives in this study was to address the major problem with Null Hypothesis Significance Testing (NHST) and 2 common misconceptions related to NHST that cause confusion for students and researchers. The misconcep- tions are (a) a smaller p indicates a stronger relationship and (b) statistical signifi- cance indicates practical importance. The second objective was to determine how this problem and the misconceptions were treated in 12 recent textbooks used in edu- cation research methods and statistics classes. (...)
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  • Intelligent design and probability reasoning.Elliott Sober - 2002 - International Journal for Philosophy of Religion 52 (2):65-80.
    This paper defends two theses about probabilistic reasoning. First, although modus ponens has a probabilistic analog, modus tollens does not – the fact that a hypothesis says that an observation is very improbable does not entail that the hypothesis is improbable. Second, the evidence relation is essentially comparative; with respect to hypotheses that confer probabilities on observation statements but do not entail them, an observation O may favor one hypothesis H1 over another hypothesis H2 , but O cannot be said (...)
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  • Personal Knowledge.Manley Thompson - 1960 - Philosophical Review 69 (1):111.
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  • (4 other versions)The Logic of Scientific Discovery.K. Popper - 1959 - British Journal for the Philosophy of Science 10 (37):55-57.
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  • The Strange Case of the Spotted Mice and Other Classic Essays on Science.Peter Brian Medawar - 1996 - Oxford University Press USA.
    Sir Peter Medawar wasn't only a Nobel prize-winning immunologist but also a writer about science and scientists. This entertaining selection presents the best of his writing, with a new foreword by Stephen Jay Gould, one of his greatest admirers.
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  • Sense and Nonsense of Statistical Inference: Controversy: Misuse, and Subtlety.Charmont Wang - 1992 - CRC Press.
    This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other sources, presenting examples of misused statistics to show that many scientists and statisticians are unaware of, or unwilling to challenge the chaotic state of statistical practices.;The book: provides examples of ubiquitous statistical tests taken from the biomedical and behavioural sciences, economics and the statistical literature; discusses conflicting views of randomization, emphasizing certain aspects of induction and epistemology; reveals fallacious (...)
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