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Measurement in Science

Edited by Alessandro Giordani (Università Cattolica di Milano, Università Cattolica di Milano)
About this topic
Summary Measurement is a fundamental empirical process aimed at acquiring and codifying information about an entity, the object or system under measurement. This process is commonly interpreted in functional terms as a production process, accomplished by means of a measurement system, whose input is the system under measurement and whose output is a piece of information, the property value, about a certain instance of a general property of that system, the measurand. As a consequence, the central problem concerning the definition of measurement turns into the one of characterizing the just mentioned process. When an empirical general property is specified, any system under measurement can be viewed as a member of a class of systems characterized by that property. When provided with a set of relations between its elements, this class is called an empirical relational system and measurement can be conceived of as a mapping assigning numbers to elements of this system in such a way that the relations between these elements are preserved by relations between numbers in a numerical relational system. This is the model underlying the so-called representational theory of measurement, considered nowadays the standard measurement theory. According to this model to measure is to construct a representation of an empirical system to a numerical system, under the hypothesis that relations in the empirical system are somehow observable. The model has many merits, but it is also subject to many problems. In particular, the crucial drawback is given by the difficulty of linking the proposed conception of measurement with the way in which measurement is accounted for from a metrological point of view, specifically the point of view underlying the International Vocabulary of Metrology. Hence, the debate concerning the characterization of measurement is still open, where the principal task consists in defining a general model aiming at (i) providing a sound interpretation of measurement as structured process; (ii) identifying the ontological conditions to be fulfilled for measurement to be possible; (iii) identifying the epistemic conditions to be fulfilled for measurement results to be able to justify empirical assertions.
Key works The representational theory of measurement has its roots in the work of Scott and Suppes 1958 and has found its more extensive exposition in the three volumes of the Foundations of Measurement (1971, 1989, 1990), but see also Roberts 1985, for a more friendly presentation, and Narens 1985. The metrological standpoint is summarized in the International Vocabulary of Metrology (VIM). For a problematization of the representational theory see Domotor et al. 2008, where an analytical approach to measurement is developed, and Frigerio et al. 2010, where a synthesis between the representional approach and the metrological approach is proposed.
Introductions See Suppes 2002 for a general introduction to the representational standpoint.
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179 found
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  1. Approximate Generalizations and Their Idealization.Ernest W. Adams - 1982 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:199 - 207.
    Aspects of a formal theory of approximate generalizations, according to which they have degrees of truth measurable by the proportions of their instances for which they are true, are discussed. The idealizability of laws in theories of fundamental measurement is considered: given that the laws of these theories are only approximately true "in the real world", does it follow that slight changes in the extensions of their predicates would make them exactly true?
  2. On the Nature and Purpose of Measurement.Ernest W. Adams - 1966 - Synthese 16 (2):125 - 169.
  3. Elements of a Theory of Inexact Measurement.Ernest W. Adams - 1965 - Philosophy of Science 32 (3/4):205-228.
    Modifications of current theories of ordinal, interval and extensive measurement are presented, which aim to accomodate the empirical fact that perfectly exact measurement is not possible (which is inconsistent with current theories). The modification consists in dropping the assumption that equality (in measure) is observable, but continuing to assume that inequality (greater or lesser) can be observed. The modifications are formulated mathematically, and the central problems of formal measurement theory--the existence and uniqueness of numerical measures consistent with data--are re-examined. Some (...)
  4. Precision in Theory and in Measurement.Joseph Agassi - 1968 - Philosophy of Science 35 (3):287-290.
  5. ELLIS, B. - "Basic Concept of Measurement". [REVIEW]P. Alexander - 1969 - Mind 78:627.
  6. An Exchange on Functional and Conjoint Measurement: Reply.Norman H. Anderson - 1971 - Psychological Review 78 (5):458-458.
  7. Ontological Aspects of Measurement.Holger Andreas - 2008 - Axiomathes 18 (3):379-394.
    The concept of measurement is fundamental to a whole range of different disciplines, including not only the natural and engineering sciences, but also laboratory medicine and certain branches of the social sciences. This being the case, the concept of measurement has a particular relevance to the development of top-level ontologies in the area of knowledge engineering. For this reason, the present paper is concerned with ontological aspects of measurement. We are searching for a list of concepts that are apt to (...)
  8. Philosophical Issues of Current Interest to Measurement Theorists.William H. Angoff - 1987 - Theoretical and Philosophical Psychology 7 (2):112-122.
    The research interests of measurement theorists in psychology are, expectedly, largely methodological, entailing a search for improved ways of applying statistical principles and methods to problems of measurement. However, these theorists are fundamentally psychologists, and their interests are, also expectedly, rooted in the substantive areas in psychology and education in which their methods are applied. Several such areas are of particular importance today, provoking continuing discussion at a broad range of conceptual and methodological levels. Among the most perplexing of these (...)
  9. Reliability and Validity of Experiment in the Neurobiology of Learning and Memory.Sullivan Jacqueline Anne - 2007 - Dissertation, University of Pittsburgh
  10. Metaphysics and Measurement.Gavin Ardley - 1969 - Philosophical Studies 18:227-227.
  11. Theory and Measurement.W. Balzer - 1983 - Erkenntnis 19 (1-3):2 - 25.
  12. KYBURG Jr, H. E. [1984]: Theory and Measurement. Cambridge University Press.W. Balzer & C. M. Dawe - 1986 - British Journal for the Philosophy of Science 37 (4):506-510.
  13. A Sense So Rare: Measuring Olfactory Experiences and Making a Case for a Process Perspective on Sensory Perception.Ann-Sophie Barwich - 2014 - Biological Theory 9 (3):258-268.
    Philosophical discussion about the reality of sensory perceptions has been hijacked by two tendencies. First, talk about perception has been largely centered on vision. Second, the realism question is traditionally approached by attaching objects or material structures to matching contents of sensory perceptions. These tendencies have resulted in an argumentative impasse between realists and anti-realists, discussing the reliability of means by which the supposed causal information transfer from object to perceiver takes place. Concerning the nature of sensory experiences and their (...)
  14. Empiricism and the Myth of Fundamental Measurement.Vadim Batitsky - 1998 - Synthese 116 (1):51 - 73.
  15. Continuity and the Theory of Measurement.José A. Benardete - 1968 - Journal of Philosophy 65 (14):411-430.
  16. The Logic of Measurement.A. Cornelius Benjamin - 1933 - Journal of Philosophy 30 (26):701-710.
  17. Measurement. Its Concepts, Theories and Problems.Karel Berka - 1984 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 15 (2):354-363.
  18. D. H. Krantz, R. D. Luce, P. Suppes and A. Tversky, "Foundations of Measurement", Vol. I. [REVIEW]Karel Berka - 1974 - Theory and Decision 5 (4):461.
  19. Distance and Dissimilarity.Ben Blumson - manuscript
    This paper considers whether an analogy between distance and dissimilarlity supports the thesis that degree of dissimilarity is distance in a metric space. A straightforward way to justify the thesis would be to define degree of dissimilarity as a function of number of properties in common and not in common. But, infamously, this approach has problems with infinity. An alternative approach would be to prove representation and uniqueness theorems, according to which if comparative dissimilarity meets certain qualitative conditions, then it (...)
  20. The Beginning and Growth of Measurement in Psychology.Edwin G. Boring - 1961 - Isis 52 (2):238-257.
  21. Measuring the Mind: Conceptual Issues in Contemporary Psychometrics.Denny Borsboom - 2005 - Cambridge University Press.
    Is it possible to measure psychological attributes like intelligence, personality and attitudes and if so, how does that work? What does the term 'measurement' mean in a psychological context? This fascinating and timely book discusses these questions and investigates the possible answers that can be given response. Denny Borsboom provides an in-depth treatment of the philosophical foundations of widely used measurement models in psychology. The theoretical status of classical test theory, latent variable theory and positioned in terms of the underlying (...)
  22. Invariance and Calibration.Marcel J. Boumans - unknown
    The Representational Theory of Measurement conceives measurement as establishing homomorphisms from empirical relational structures into numerical relation structures, called models. Models function as measuring instruments by transferring observations of an economic system into quantitative facts about that system. These facts are evaluated by their accuracy. Accuracy is achieved by calibration. For calibration standards are needed. Then two strategies can be distinguished. One aims at estimating the invariant (structural) equations of the system. The other is to use known stable facts about (...)
  23. Alternative Combining Operations in Extensive Measurement.Dragana Bozin - 1998 - Philosophy of Science 65 (1):136-150.
    This paper concerns the ways in which one can/cannot combine extensive quantities. Given a particular theory of extensive measurement, there can be no alternative ways of combining extensive quantities, where 'alternative' means that one combining operation can be used instead of another causing only a change in the number assigned to the quantity. As a consequence, rectangular concatenation cannot be an alternative combining operation for length as was suggested by Ellis and agreed by Krantz, Luce, Suppes, and Tversky. I argue (...)
  24. Alternative Scales for Extensive Measurement: Combining Operations and Conventionalism.Dragana Bozin - 1993 - Dissertation, Rice University
    This thesis concerns alternative concatenating operations in extensive measurements and the degree to which concatenating operations are matter of convention. My arguments are directed against Ellis' claim that what prevents us from choosing alternative ways of combining extensive quantities is only convenience and simplicity and that the choice is not based on empirical reasons. ;My first argument is that, given certain relational theories of measurement, there can be no more than one concatenating operation per quantity; because combining operations are the (...)
  25. An Introduction to Experimentation.Brian Joseph Brinkworth - 1968 - New York: American Elsevier Pub. Co..
  26. The Essentials of Mental Measurement.William Brown - 1911
  27. Social Measurement: What Stands in its Way?Martin Bulmer - 2001 - Social Research 68.
    Measurement is any process by which a value is assigned to the level or state of some quality of an object of study. This value is given numerical form, and measurement therefore involves the expression of information in quantities rather than by verbal statement. It provides a powerful means of reducing qualitative data to more condensed form for summarization, manipulation and analysis. The classical distinctions made by S S S Stevens between nominal, ordinal, interval and ratio measurement are a common (...)
  28. Realist Foundations of Measurement.Henry C. Byerly & Vincent A. Lazara - 1973 - Philosophy of Science 40 (1):10-28.
    This paper defends a realist interpretation of theories and a modest realism concerning the existence of quantities as providing the best account both of the logic of quantity concepts and of scientific measurement practices. Various operationist analyses of measurement are shown to be inadequate accounts of measurement practices used by scientists. We argue, furthermore, that appeals to implicit definitions to provide meaning for theoretical terms over and above operational definitions fail because implicit definitions cannot generate the requisite descriptive content. The (...)
  29. Measurement and Its Importance for Philosophy.N. R. Campbell & H. Jeffreys - 1938 - Aristotelian Society Supplementary Volume 17:121-151.
  30. Symposium: Measurement and Its Importance for Philosophy.N. R. Campbell & H. Jeffreys - 1938 - Aristotelian Society Supplementary Volume 17 (1):121 - 151.
  31. Derived Measurement, Dimensions, and Dimensional Analysis.Robert L. Causey - 1969 - Philosophy of Science 36 (3):252-270.
    This paper presents a representational theory of derived physical measurements. The theory proceeds from a formal definition of a class of similar systems. It is shown that such a class of systems possesses a natural proportionality structure. A derived measure of a class of systems is defined to be a proportionality-preserving representation whose values are n-tuples of positive real numbers. Therefore, the derived measures are measures of entire physical systems. The theory provides an interpretation of the dimensional parameters in a (...)
  32. Measurement: Definitions and Theories.C. West Churchman & Philburn Ratoosh - 1960 - Journal of Philosophy 57 (15):513-514.
  33. Method and Measurement*(1964).Aaron Cicourel - 2003 - In Gerard Delanty & Piet Strydom (eds.), Philosophies of Social Science: The Classic and Contemporary Readings. Open University. pp. 191.
  34. On Weak Extensive Measurement.Hans Colonius - 1978 - Philosophy of Science 45 (2):303-308.
    Extensive measurement is called weak if the axioms allow two objects to have the same scale value without being indifferent with respect to the order. Necessary and/or sufficient conditions for such representations are given. The Archimedean and the non-Archimedean case are dealt with separately.
  35. The Ontological Distinction Between Units and Entities.Gordon Cooper & Stephen M. Humphry - 2012 - Synthese 187 (2):393-401.
    The base units of the SI include six units of continuous quantities and the mole, which is defined as proportional to the number of specified elementary entities in a sample. The existence of the mole as a unit has prompted comment in Metrologia that units of all enumerable entities should be defined though not listed as base units. In a similar vein, the BIPM defines numbers of entities as quantities of dimension one, although without admitting these entities as base units. (...)
  36. Number and Measure: Hermann Von Helmholtz at the Crossroads of Mathematics, Physics, and Psychology.O. Darrigol - 2003 - Studies in History and Philosophy of Science Part A 34 (3):515-573.
    In 1887 Helmholtz discussed the foundations of measurement in science as a last contribution to his philosophy of knowledge. This essay borrowed from earlier debates on the foundations of mathematics (Grassmann / Du Bois), on the possibility of quantitative psychology (Fechner / Kries, Wundt / Zeller), and on the meaning of temperature measurement (Maxwell, Mach). Late nineteenth-century scrutinisers of the foundations of mathematics (Dedekind, Cantor, Frege, Russell) made little of Helmholtz's essay. Yet it inspired two mathematicians with an eye on (...)
  37. Fundamental Measurement: Some Lessons From Classical Physics.Elton Ray Davis - 1980 - Dissertation, University of California, Riverside
    One can conclude then that in some instances theories are invoked in introducing quantitative concepts into science, even when the concept is treated as though it had been introduced by fundamental measurement. On the other hand, one sees in Maxwell an instance of fundamental measurement that does not invoke theory. It is not the case either that all our metric concepts are theory-laden or that they are theory-free. We must look to individual cases to discover how measurement functions in science. (...)
  38. Psychological Measurement.Robyn M. Dawes - 1994 - Psychological Review 101 (2):278-281.
  39. Comentario a Foundations of Measurement 2 y 3'.J. A. Diez - 1993 - Theoria 19:163-168.
  40. A Hundred Years of Numbers. An Historical Introduction to Measurement Theory 1887–1990.JoséA Díez - 1997 - Studies in History and Philosophy of Science Part A 28 (1):167-185.
    Part II: Suppes and the mature theory. Representation and uniqueness.
  41. A Theory of Measurement.Herbert Dingle - 1950 - British Journal for the Philosophy of Science 1 (1):5-26.
  42. Species of Measurement Structures.Zoltan Domotor - 1972 - Theoria 38 (1-2):64-81.
  43. The Analytic Versus Representational Theory of Measurement: A Philosophy of Science Perspective.Zoltan Domotor & Vadim Batitsky - 2008 - Measurement Science Review 8 (6):129-146.
    In this paper we motivate and develop the analytic theory of measurement, in which autonomously specified algebras of quantities (together with the resources of mathematical analysis) are used as a unified mathematical framework for modeling (a) the time-dependent behavior of natural systems, (b) interactions between natural systems and measuring instruments, (c) error and uncertainty in measurement, and (d) the formal propositional language for describing and reasoning about measurement results. We also discuss how a celebrated theorem in analysis, known as Gelfand (...)
  44. A Note on Measurement.John Earman & A. Shimony - unknown
  45. The Measurement of Perceptual Durations.Robert Efron - 1972 - In J. T. Fraser, F. Haber & G. Muller (eds.), The Study of Time. Springer Verlag. pp. 207--218.
  46. Basic Concepts of Measurement.Brian Ellis - 1968 - Cambridge University Press.
    The nature of measurement is a topic of central concern in the philosophy of science and, indeed, measurement is the essential link between science and mathematics. Professor Ellis's book, originally published in 1966, is the first general exposition of the philosophical and logical principles involved in measurement since N. R. Campbell's Principles of Measurement and Calculation, and P. W. Bridgman's Dimensional Analysis. Professor Ellis writes from an empiricist standpoint. His object is to distinguish and define the basic concepts in measurement, (...)
  47. Some Fundamental Problems of Indirect Measurement.Brian Ellis - 1961 - Australasian Journal of Philosophy 39 (1):13 – 29.
  48. Some Fundamental Problems of Direct Measurement.Brian Ellis - 1960 - Australasian Journal of Philosophy 38 (1):37 – 47.
  49. Measurement as Inference: FundamentalIdeas.Tyler Estler - 1999 - CIRP Annals - Manufacturing Technology 48 (2):611-631.
    We review the logical basis of inference as distinct from deduction, and show that measurements in general, and dimensional metrology in particular, are best viewed as exercises in probable inference: reasoning from incomplete information. The result of a measurement is a probability distribution that provides an unambiguous encoding of one's state of knowledge about the measured quantity. Such states of knowledge provide the basis for rational decisions in the face of uncertainty. We show how simple requirements for rationality, consistency, and (...)
  50. A Probabilistic Theory of Extensive Measurement.Jean-Claude Falmagne - 1980 - Philosophy of Science 47 (2):277-296.
    Algebraic theories for extensive measurement are traditionally framed in terms of a binary relation $\lesssim $ and a concatenation (x,y)→ xy. For situations in which the data is "noisy," it is proposed here to consider each expression $y\lesssim x$ as symbolizing an event in a probability space. Denoting P(x,y) the probability of such an event, two theories are discussed corresponding to the two representing relations: p(x,y)=F[m(x)-m(y)], p(x,y)=F[m(x)/m(y)] with m(xy)=m(x)+m(y). Axiomatic analyses are given, and representation theorems are proven in detail.
1 — 50 / 179