ebook img

Theory and Measurement PDF

280 Pages·2009·6.758 MB·English
Save to my drive
Quick download
Download
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.

Preview Theory and Measurement

CAMBRIDGE STUDIES IN PHILOSOPHY General editor Sydney shoemaker Advisory editors j. e. j . altham, simon blackburn, GILBERT HARMAN, MARTIN HOLLIS, FRANK JACKSON, JONATHAN LEAR, JOHN PERRY, T. J. SMILEY, BARRY STROUD JAMES CARGILE Paradoxes: a study in form and predication PAUL M. CHURCHLAND Scientific realism and the plasticity of mind N. M. L. N H A N Evidence and assurance WILLIAM LYONS Emotions PETER SMITH Realism and the progress of science BRIAN LOAR Mind and meaning DAVID HEYD Supererogation JAMES F. ROSS Portraying analoypy PAUL HORWiCH Probability and evidence ELLERY EELLS Rational decision and causality HOWARD ROBINSON Matter and sense E. J. BOND Reason and value D. M. ARMSTRONG What is a law of nature? Theory and measurement Henry E. Kyhurg Jr Professor of Philosophy, University of Rochester % The right of the University of Cambridge to print and sell all manner of books was granted by Henry Vlll in 1534. The University has printed and published continuously since 1584. Cambridge University Press (Cambridge London Neu^ York Snv Rochelle Melbourne Sydney Published by the Press Syndicate of the University of Cambridge The Pitt Building, Trumpington Street, Cambridge CB2 IRP 32 East 57th Street, New York, NY 10022, USA 296 Beaconsfield Parade, Middle Park, Melbourne 3206, Australia Cambridge University Press 1984 First published 1984 Printed in Great Britain at the University Press, Cambridge Library of Congress catalogue card number: 82-17905 British Library cataloj^uin^ in publication data Kyburg, Henry E. Theory and measurement.—(Cambridge studies in philosophy) 1. Mensuration I. Title 530.8 T50 r ISBN 0 521 24878 7 'N Contents Preface vii 1 Introduction 1 2 Machinery 23 3 Relative length 36 4 Measurement of length 61 5 Direct measurement 90 6 Indirect measurement 113 7 Systematic measurement 143 8 Reduction of dimensions and fundamental units 159 9 Error: random and non-random 183 10 Interpersonal agreement 213 11 Theory and measurement 234 Bibliography 261 List of main notation 269 Index 271 Preface Although there is a sizable literature on measurement theory, rel­ atively little has been published in recent years on the epistemologic­ al foundations of measurement, and on the complicated connection between measurement and the testing of theories. The present work is addressed to precisely these questions, though of necessity certain more general considerations concerning theory change, linguistic change, and epistemology are addressed along the way. It is difficult to give a precise accounting of the time that went into this book, but part or all of the time released by grants SOC 77-26021 and SES 8023005 from the National Science Foundation clearly went into it, and the freedom provided by a fellowship from the Gug­ genheim Foundation for the academic year 1980-1, though it was mainly devoted to a more general topic, helped in the development of the last two chapters. 1 am also grateful to the University of Rochester for providing both leave and financial support during that year. Conversations and correspondence with a number of people, and comments by a number of anonymous referees, have helped greatly in getting my ideas clear. In this connection, I wish particularly to thank Ernest Adams and Phillip Ehrlich, with whom I was lucky enough to have long conversations during a trip to California, and Zoltan Domotor who provided both unremitting criticism as a referee and unfailing support as a fellow seeker after the truth in measurement. To my colleagues at Rochester I am grateful for moral support, and to the department secretaries 1 am not only grateful for un­ bounded patience and skill at typing and retyping sections of the manuscript, but more importantly for constant understanding and encouragement in a project that must not only have seemed myste­ rious but unending. Two notational ambiguities should be mentioned here. First, 1 have used the symbol in two senses, which arc distinct enough (I Vll hope) not to generate confusion. 1 have used it to modify predicates of the object language to indicate that they have become somewhat ‘theoretical’; thus ~ represents a relation of observational indisting- uishability, while represents the somewhat theoretical relation in terms of which we generate equivalence classes of objects. I have also used as an operator representing the multiplication of (signed) quantities. Second, I have followed two well-established conventions in my use of square brackets. The equivalence class (under the equivalence relation suggested by the context) determined by the object a is denoted by [a]. But square brackets are also used to denote dimen­ sions: thus [feet] is the dimension of length, as is [meters] and [length] itself. Both of these conventions are commonly followed, and it seemed better to admit the ambiguity than to generate still more notation. There are two approaches to reading this book. One, which led to its present structure, is better for those who like to see concrete instances before they ascend to more general abstractions. Chapters 2, 3, and 4, which provide a detailed development of the measure­ ment of length on the basis of corri^^ihie comparative judgments, provide the paradigm in terms of which the measurements of other quantities can be construed. The other approach, which is also natu­ ral, is better for those who want to see where they are going before being faced with a lot of formal details. This approach would post­ pone Chapters 2, 3, and 4 until after Chapter 8. This also has the advantage that the general treatment of error in Chapter 9 then follows conveniently on the specific treatment of errors of measure­ ment of length found in Chapter 4. I have attempted to ensure that the book may be read in either way. 1 Introduction Measurement is so fundamental to the physical sciences and to en­ gineering that it is difficult to know where we would be without it. The psychological and social sciences, as currently practiced, involve measurement in two quite distinct ways. In the first place, they involve ordinary physical measurements: distances, reaction times, voltages, and the like. But they also involve the development of procedures and scales of measurement that are peculiar to their sub­ ject matters: IQ as a measure of intelligence, indices of extroversion/ introversion, measures of manual dexterity or the ability to deal with spatial relations. Given the prevalence of measurement in all the branches of science, we would expect discussions of measurement to play an important role in writings on the philosophy of science. Our expectation is frustrated. This could mean either of two things: that measurement is so well understood and so easy to under­ stand that not much need be said about it; or that not even the problems of measurement are sufficiently appreciated. Brian Ellis inclines toward the latter view. He argues that while there is a ‘cli­ mate of agreement’ concerning measurement, ‘One can only believe that the agreement is superficial, resulting not from analysis but from the lack of it.’ (Ellis, 1968, p. 2) Writing in 1968, he finds Campbell (1920, 1928) and Bridgman (1922) to be the only ‘major works of a primarily philosophical nature dealing with measure­ ment’ (Ellis, 1968, p.l). Arnold Koslow (1981), shares this point of view to some extent, though he cites Mach (1960) and Helmholtz (1977) among the great classical writers on measurement, and he refers to the ‘enormous’ contemporary literature on measurement, much of it written before 1968. It seems that even the question of whether or not there is a large literature on measurement is controversial. The opposite point of view — that measurement is really perfectly well understood — is embodied in the monumental work of Krantz, Luce, Suppes & Tversky (1971). There is no anomaly in the fact that 1 a well-understood subject should be the topic of a monumental work. Although the subject matter is well understood, there are many technical questions, both deep and difficult, that require to be explored. As Krantz et al. write, ‘Scattered about the literatures of economics, mathematics, philosophy, physics, psychology, and sta­ tistics are axiom systems and theorems that are intended to explain why some of the attributes of objects, substances, and events can reasonably be represented numerically. These results constitute the mathematical foundations of measurement.’ (1971, p. xvii) The goal of the monumental work is to establish a general treatment in which these scattered results will appear as special cases, to collect and unify and render coherent a fragmentarily established body of doctrine. We see here a clue as to the controversy concerning the magnitude of the literature of measurement. Much of this litera­ ture — especially that appearing in psychological journals — is con­ cerned with a very specific sort of technical problem. We begin by supposing that a certain attribute is measurable in roughly a certain sort of way, and on a certain sort of scale. To ‘establish the mathema­ tical foundations’ of the measurement of this attribute is to find axioms concerning this attribute (and generally concerning a certain way of combining objects with that attribute) such that we can prove two important theorems: a representation theorem, which shows that the attribute can be represented by a certain structure of real numbers; and a uniqueness theorem, which shows that any two functions from objects to real numbers that represent the attribute in question are related in certain ways — for example by multiplication by a constant, by a linear equation, by a monotonic transformation, etc. To illustrate this approach, consider the measurement of weight. We begin by knowing that weight is represented by a ratio scale (e.g., we know that we can convert a weight in grams to a weight in pounds by multiplying by a constant), that weights combine addi- tively (the weight of a pair of objects taken together is the sum of their weights taken individually) and that of two objects, one is heavier than the other, or they have the same weight. We compose axioms (e.g. that ‘being heavier than’ is transitive) and attempt to define a function (() from ponderable objects into the real numbers such that for any x and y, ifx is heavier than y, then (J)(x) > (t)(y), if y is heavier than x, then (J)(y) > <J)(x), and if x and y are equally heavy, <()(x) = (|)(y), and furthermore such that if x ° y is the ‘combination’ of X and y, then (j)(x ® y) = <|>(x) -I- cj)(y). To do this generally requires existence axioms that we might not have discovered intuitively; for example, we might need to assume that for any weights x and y, where x is heavier than y, there is a natural number n such that n replicas of y in combination are lighter than x, and « H- 1 replicas of y in combination are heavier than x. Having defined a function (|) that represents the attribute of weight, we then go on to prove that if (|) and are any two such functions, there is a real number a such that for all x, (j)(x) = ii\|)(x). Now this represents an important, useful and enlightening piece of analysis. But it leaves untouched many of the questions which were of concern to writers such as Ellis, Campbell, and others. It is all very well to say that if a certain set of the attributes of objects and a certain operation on them obey certain axioms, then those attributes can be represented by a function of a certain sort from those objects to the real numbers. But we also want to know that the axioms are satisfied; we must at least face the classical problem of inductive or scientific inference. Furthermore, it is not clear that the range of the function (j) is real numbers; engineers and scientists often take the weight of an object to be so and so many grams: they write as if there were abstract entities — magnitudes — that are approached through measurement. Particularly troublesome in this regard is the nature of the operation on objects which is required for the development of useful and interesting scales. As Ellis notes, we might be tempted to suppose that the operation by which we combine rigid rods were rectilinear rather than collinear juxtaposition. Finally, we all know that measurement is imperfect: no procedure of measurement is perfectly accurate. But we are alleged to test scientific theories and hypotheses by devising experiments which, if the theory or hypoth­ esis is true, will lead to certain measurable results. We cannot expect to get exactly the right result; but if the result is too far off — not ‘within experimental error’ — we have to reject the theory or hypothesis. What does this phrase ‘within experimental error’ mean, and how do we determine in a given case what counts as ‘ex­ perimental error’? In general, how are our procedures of measure­ ment coordinated with the development of a theory of errors of measurement? Norman Campbell, writing in 1920, laments the fact that the theory of measurement and the study of the foundations of physics have been taken over by mathematicians. ‘And as the physicist pos­

See more

The list of books you might like

Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.