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Error and the Growth of Experimental Knowledge

Author: Deborah G. Mayo

Publisher: University of Chicago Press

Published: 1996-07-15

Total Pages: 512

ISBN-13: 9780226511979

We may learn from our mistakes, but Deborah Mayo argues that, where experimental knowledge is concerned, we haven't begun to learn enough. Error and the Growth of Experimental Knowledge launches a vigorous critique of the subjective Bayesian view of statistical inference, and proposes Mayo's own error-statistical approach as a more robust framework for the epistemology of experiment. Mayo genuinely addresses the needs of researchers who work with statistical analysis, and simultaneously engages the basic philosophical problems of objectivity and rationality. Mayo has long argued for an account of learning from error that goes far beyond detecting logical inconsistencies. In this book, she presents her complete program for how we learn about the world by being "shrewd inquisitors of error, white gloves off." Her tough, practical approach will be important to philosophers, historians, and sociologists of science, and will be welcomed by researchers in the physical, biological, and social sciences whose work depends upon statistical analysis.

Error and the Growth of Experimental Knowledge

Author: Deborah G. Mayo

Publisher: University of Chicago Press

Published: 1996-07-15

Total Pages: 520

ISBN-13: 9780226511979

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Preface1: Learning from Error 2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 3: The New Experimentalism and the Bayesian Way 4: Duhem, Kuhn, and Bayes 5: Models of Experimental Inquiry 6: Severe Tests and Methodological Underdetermination7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion8: Severe Tests and Novel Evidence 9: Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance10: Why You Cannot Be Just a Little Bit Bayesian 11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics12: Error Statistics and Peircean Error Correction 13: Toward an Error-Statistical Philosophy of Science ReferencesIndex Copyright © Libri GmbH. All rights reserved.

Error and Inference

Author: Deborah G. Mayo

Publisher: Cambridge University Press

Published: 2011

Total Pages: 439

ISBN-13: 0521180252

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Explores the nature of error and inference, drawing on exchanges on experimental reasoning, reliability, and the objectivity of science.

Error and Uncertainty in Scientific Practice

Author: Marcel Boumans

Publisher: Routledge

Published: 2015-10-06

Total Pages: 248

ISBN-13: 1317319478

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Assessment of error and uncertainty is a vital component of both natural and social science. This edited volume presents case studies of research practices across a wide spectrum of scientific fields. It compares methodologies and presents the ingredients needed for an overarching framework applicable to all.

Reproducibility and Replicability in Science

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2019-10-20

Total Pages: 257

ISBN-13: 0309486165

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One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

Statistical Inference as Severe Testing

Author: Deborah G. Mayo

Publisher: Cambridge University Press

Published: 2018-09-20

Total Pages: 503

ISBN-13: 1107054133

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Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.

The Necessity of Errors

Author: John Roberts

Publisher: Verso Books

Published: 2020-05-05

Total Pages: 425

ISBN-13: 1789601495

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Truth and error are interdependent; claims to truth can be made only in the light of previous error. In The Necessity of Errors, John Roberts explores how, up to Hegel, emphasis was placed on error as something that dissolves truth and needs to be eradicated. Drawing on the fragmented corpus of writing on error, from Locke to Luxemburg, Adorno to Vaneigem, and covering five key areas from philosophy to political praxis, this wide-ranging account explores how we learn from error, under what conditions, and with what means. Errors, Roberts finds, are productive, but not in any uniform sense or under all circumstances-a theory of errors needs a dialectics of error.

The Theory and Practice of Experimental Philosophy

Author: Justin Sytsma

Publisher: Broadview Press

Published: 2015-11-27

Total Pages: 378

ISBN-13: 146040288X

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In recent years, developments in experimental philosophy have led many thinkers to reconsider their central assumptions and methods. It is not enough to speculate and introspect from the armchair—philosophers must subject their claims to scientific scrutiny, looking at evidence and in some cases conducting new empirical research. The Theory and Practice of Experimental Philosophy is an introduction and guide to the systematic collection and analysis of empirical data in academic philosophy. This book serves two purposes: first, it examines the theory behind “x-phi,” including its underlying motivations and the objections that have been leveled against it. Second, the book offers a practical guide for those interested in doing experimental philosophy, detailing how to design, implement, and analyze empirical studies. Thus, the book explains the reasoning behind x-phi and provides tools to help readers become experimental philosophers.

Progress in International Relations Theory

Author: Colin Elman

Publisher: MIT Press

Published: 2003-08-29

Total Pages: 524

ISBN-13: 9780262262552

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All academic disciplines periodically appraise their effectiveness, evaluating the progress of previous scholarship and judging which approaches are useful and which are not. Although no field could survive if it did nothing but appraise its progress, occasional appraisals are important and if done well can help advance the field. This book investigates how international relations theorists can better equip themselves to determine the state of scholarly work in their field. It takes as its starting point Imre Lakatos's influential theory of scientific change, and in particular his methodology of scientific research programs (MSRP). It uses MSRP to organize its analysis of major research programs over the last several decades and uses MSRP's criteria for theoretical progress to evaluate these programs. The contributors appraise the progress of institutional theory, varieties of realist and liberal theory, operational code analysis, and other research programs in international relations. Their analyses reveal the strengths and limits of Lakatosian criteria and the need for metatheoretical metrics for evaluating scientific progress.

Going Amiss in Experimental Research

Author: Giora Hon

Publisher: Springer Science & Business Media

Published: 2008-12-04

Total Pages: 273

ISBN-13: 1402088930

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Like any goal-oriented procedure, experiment is subject to many kinds of failures. These failures have a variety of features, depending on the particulars of their sources. For the experimenter these pitfalls should be avoided and their effects minimized. For the historian-philosopher of science and the science educator, on the other hand, they are instructive starting points for reflecting on science in general and scientific method and practice in particular. Often more is learned from failure than from confirmation and successful application. The identification of error, its source, its context, and its treatment shed light on both practices and epistemic claims. This book shows that it is fruitful to bring to light forgotten and lost failures, subject them to analysis and learn from their moral. The study of failures, errors, pitfalls and mistakes helps us understand the way knowledge is pursued and indeed generated. The book presents both historical accounts and philosophical analyses of failures in experimental practice. It covers topics such as "error as an object of study", "learning from error", "concepts and dead ends", "instrumental artifacts", and "surprise and puzzlement". This book will be of interest to historians, philosophers, and sociologists of science as well as to practicing scientists and science educators.