David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Henry E. Kyburg (ed.)
Cambridge University Press (1984)
Measurement is fundamental to all the sciences, the behavioural and social as well as the physical and in the latter its results provide our paradigms of 'objective fact'. But the basis and justification of measurement is not well understood and is often simply taken for granted. Henry Kyburg Jr proposes here an original, carefully worked out theory of the foundations of measurement, to show how quantities can be defined, why certain mathematical structures are appropriate to them and what meaning attaches to the results generated. Crucial to his approach is the notion of error - it can not be eliminated entirely from its introduction and control, her argues, arises the very possibility of measurement. Professor Kyburg's approach emphasises the empirical process of making measurements. In developing it he discusses vital questions concerning the general connection between a scientific theory and the results which support it (or fail to).
|Keywords||Measurement Theory Error|
|Categories||categorize this paper)|
|Buy the book||$13.88 used (84% off) $94.77 new Amazon page|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Eran Tal (2013). Old and New Problems in Philosophy of Measurement. Philosophy Compass 8 (12):1159-1173.
Henry E. Kyburg (1983). Rational Belief. Behavioral and Brain Sciences 6 (2):231.
Peter Gärdenfors & Frank Zenker (2013). Theory Change as Dimensional Change: Conceptual Spaces Applied to the Dynamics of Empirical Theories. Synthese 190 (6):1039-1058.
Lola L. Lopes (1983). Normative Theories of Rationality: Occam's Razor, Procrustes' Bed? Behavioral and Brain Sciences 6 (2):255.
Teddy Seidenfeld (1983). Decisions with Indeterminate Probabilities. Behavioral and Brain Sciences 6 (2):259.
Similar books and articles
Jeffrey Helzner (2012). On the Representation of Error. Synthese 186 (2):601-613.
Fred S. Roberts (ed.) (1985). Measurement Theory. Cambridge University Press.
Ludwik Finkelstein (2003). Widely, Strongly and Weakly Defined Measurement. Measurement 34 (1):39-48.
Giovanni Rossi (2006). A Probabilistic Theory of Measurement. Measurement 39:34-50.
Miklavz Vospernik (2005). Theoreticity in Kyburg's Measurement Theory. Croatian Journal of Philosophy 5 (1):89-108.
Aldo Frigerio, Alessandro Giordani & Luca Mari (2010). Outline of a General Model of Measurement. Synthese 175 (2):123-149.
Ludwik Finkelstein (2009). Widely-Defined Measurement. An Analysis of Challenges. Measurement 42 (9):1270–1277.
Luca Mari (2003). Epistemology of Measurement. Measurement 34 (1):17-30.
Reinhard Niederée (1992). What Do Numbers Measure? A New Approach to Fundamental Measurement. Mathematical Social Sciences 24:237-276.
Zoltan Domotor & Vadim Batitsky (2008). The Analytic Versus Representational Theory of Measurement: A Philosophy of Science Perspective. Measurement Science Review 8 (6):129-146.
Ludwik Finkelstein (1984). A Review of the Fundamental Concepts of Measurement. [REVIEW] Measurement 2 (1):25-34.
Alessandro Giordani & Luca Mari (2012). Measurement, Models, and Uncertainty. IEEE Transactions on Instrumentation and Measurement 61 (8):2144 - 2152.
Luca Mari (2005). The Problem of Foundations of Measurement. Measurement 38 (4):259-266.
Ludwik Finkelstein (1994). Measurement and Instrumentation Science. An Analytical Review. Measurement 14 (1):3-14.
Added to index2012-01-09
Total downloads12 ( #234,533 of 1,779,332 )
Recent downloads (6 months)2 ( #205,717 of 1,779,332 )
How can I increase my downloads?