PH 221 Week 7: Measurement Cartwright and Bradburn1 Measurement module: this week we focus on theory, next week on application to the CPI. We will look at three parts of (philosophical) measurement theory this week: characterisation, representation and application (or procedures) and focus on values and application next week. Characterisation 1. Characterisation part one What it is Characterisation Way of picking out a concept from another, drawing its boundaries, identifying its referents. Family resemblance concepts i) games with either i) no essential (necessary) conditions or ii) ii) exploitation no necessary and sufficient conditions. iii) social status Ideal concepts with no real i) homo economicus referents, somewhat like platonic forms. A. Ballung concepts B. Concepts of Pure Understanding C. ‘Classical’ Cocnepts An example Refer to a single quantity or category that can be precisely defined. i) cup ii) heat iii) square Some argue all concepts are ballung concepts. If a concept is ballung then it can’t be classically defined 2. Characterisation part two What it is Definition Providing a characterisation A. explicit An example Direct definition of the concept without reference to other concepts from within the theory. Definition of concept wrt other concepts in the theory. i) square is a four sided figure with equal sides and equal angles Defined by measurement procedures—concept is characterised by whatever measurement picks out. Arbitrary definition of concept that is (usually) sharper than concept is in ordinary use. Makes concept ‘workable’. i) IQ i) income effect: change in demand brought about by change in real income. B. implicit C. operational D. conventional 1 i) exploitation as diff b/w real wages and MPL ii) rationality as consistent maximisation. All definitions are implicit in some way. Operational definitions are a subset of conventional definitions. Does this categorisation seem right? Sam, June. Page 1 PH 221 Week 7: Measurement Representation 3. Representation What it is Representation Mapping of features of a concepts instances. Representation theorems show us that our measurement scales are isomorphic to our concepts. List or index of values with no i) instances of exploitation specified aggregation. ii) EU measures on social exclusion Enumeration of examples or instances Indicators An example Metric systems Ordinal A function that assigns numbers to subsets of sets in a systematic way. Ordered ranking. Strength i) mohs scale (mineral scratches another) doesn’t matter. ii) good, medium, bad Cardinal Numerical ranking, no true 0 point. (ratios are meaningless, ratios of differences aren’t though) Non-arbitrary 0 value Ratio i) utilities (VNM, savage) i) loudness ii) temperature Representation must match the properties of our concept. We want it represented correctly—sub-additive length is a mistake. Ballung concepts are hard to represent. What are the pros of aggregation? Cons of not? Application (procedures) 3. Application (procedures) What it is An example of failure Application (2 desiderata) Accuracy The way by which we actually tools and methods we adopt. Whether measurement agrees with true values Degree of specificity Accurage representation of our concept put our representation scale into practice, the Precision Good representation Problem of nomic measurement To know whether or not our measurement is ‘true’ we need either more precise measure or more general theory. I look in the room and say it is 40% men 60% women. It is really 32% women, 68% men She is 5 feet tall. She is 5’11’’ she is 5’11.476…’’ sub-additive length. How much do you love me? 14. (not necessarily wrong, but no scale specified, cant answer whether good or not) Chang on temperature. What kind of representation should we give poverty? Exploitation? How should we go about deciding what is a good representation? o Good representations are use specific…ie pragmatic answer. o Good representations match what the concept ‘really’ is…idealist answer. o There is no good usage…relativist answer. Which is correct? How should we think about this part? Values Think about this for next time: how can the following measurements be value laden: CPI, poverty, exploitation, income, GDP Page 2 PH 221 Week 7: Measurement Wittgenstein, from Philosophical Investigations. 65…I am saying that these phenomena have no one thing in common which makes us use the same word for all,-but that they are related to one another in many different ways. And it is because of this relationship, or these relationships, that we call them all "language". I will try to explain this. 66. Consider for example the proceedings that we call "games". I mean board-games, card-games, ball-games, Olympic games, and so on. What is common to them all? -Don't say: "There must be something common, or they would not be called 'games' "but look and see whether there is anything common to all. -- For if you look at them you will not see something that is common to all, but similarities, relationships, and a whole series of them at that. To repeat: don't think, but look! -- Look for example at board-games, with their multifarious relationships. Now pass to card-games; here you find many correspondences with the first group, but many common features drop out, and others appear. When we pass next to ball-games, much that is common is retained, but much is lost.-- Are they all 'amusing'? Compare chess with noughts and crosses. Or is there always winning and losing, or competition between players? Think of patience. In ball games there is winning and losing; but when a child throws his ball at the wall and catches it again, this feature has disappeared. Look at the parts played by skill and luck; and at the difference between skill in chess and skill in tennis. Think now of games like ring-a-ring-a-roses; here is the element of amusement, but how many other characteristic features have disappeared! Sometimes similarities of detail. And we can go through the many, many other groups of games in the same way; can see how similarities crop up and disappear. And the result of this examination is: we see a complicated network of similarities overlapping and cries-crossing: sometimes overall similarities. 67. I can think of no better expression to characterize these similarities than "family resemblances"; for the various resemblances between members of a family: build, features, colour of eyes, gait, temperament, etc. etc. overlap and cries-cross in the same way.-And I shall say: 'games' form a family. Page 3