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In the theory of conjoint measurement, the quantitative structure of natural attributes can be discovered in the absence of natural concatenation operations. It is the most general theory of measurement known to science. Fundamental and derived measurement in physics (Campbell, 1920), often thought to be the most general paths to quantification, are actually instances of the theory of conjoint measurement (Michell, 1990). Conjoint measurement was independently discovered by the economist Debreu (1960) and by the mathematical psychologist R. Duncan Luce and statistician John Tukey (Luce & Tukey, 1964). Luce & Tukey's exposition was algebraic and is therefore considered more general than Debreu's topological work, the latter being a special case of the former (Luce & Suppes, 2002). The significance of the theory of conjoint measurement lies in the fact that non-geometric or "intensive" properties and systems can be quantified. Hence the quantification of such things as psychological attributes (e.g. attitudes, cognitive abilities and utility) is a logical possibility.
[edit] BackgroundWhilst the German mathematician Otto Hölder (1901) anticipated features of the theory of conjoint measurement, it was not until the publication of Luce & Tukey's seminal 1964 paper that the theory received its first complete exposition. In the first article of the inaugural issue of the Journal of Mathematical Psychology, Luce & Tukey (1964) proved that two attributes could be simultaneously quantified if and only if certain ordinal relations held upon a third attribute. Appearing in the next issue of the same journal were important papers by Dana Scott (1964), who proposed a hierarchy of cancellation conditions for the indirect testing of the solvability and Archimedean axioms, and David Krantz (1964) who connected the Luce & Tukey work to that of Hölder (1901). Work soon focused on extending the theory of conjoint measurement to involve more than just two attributes. Krantz (1968) and Amos Tversky (1967) developed what became known as polynomial conjoint measurement, with Krantz (1968) providing a schema with which to construct conjoint measurement structures of three or more attributes. Later, the theory of conjoint measurement (in its two variable, polynomial and n-component forms) received a thorough and highly technical treatment with the publication of the first volume of Foundations of Measurement, which Krantz, Luce, Tversky and philosopher Patrick Suppes cowrote (Krantz, Luce, Suppes & Tversky, 1971). Shortly after the publication of Krantz, et al., (1971), work focused upon developing an "error theory" for the theory of conjoint measurement. Studies were conducted into the number of "two way tables" that supported only single cancellation and both single and double cancellation (Arbuckle & Larimer, 1976; McClelland, 1977). Later enumeration studies focused on polynomial conjoint measurement (Karabatsos & Ullrich, 2002; Ullrich & Wilson, 1993). These studies found that it is highly unlikely that the axioms of the theory of conjoint measurement are satisfied at random. Later, Joel Michell (1988) identified that the "no test" class of tests of the double cancellation axiom was empty. Any instance of double cancellation is thus either an acceptance or a rejection of the axiom. Michell also wrote at this time a non-technical introduction to the theory of conjoint measurement (Michell, 1990) which also contained a schema for deriving higher order cancellation conditions based upon Scott's (1964) work. Using Michell's schema, Ben Richards (Kyngdon & Richards, 2007) recently discovered that some instances of the triple cancellation axiom are "incoherent" as they contradict the single cancellation axiom. Moreover, he identified many instances of the triple cancellation which are trivially true if double cancellation is supported. The axioms of the theory of conjoint measurement are not stochastic; and given the ordinal constraints placed on data by the cancellation axioms, order restricted inference methodology must be used (Iverson & Falmagne, 1985). Recently, George Karabatsos and his associates (Karabatsos, 2001; Karabatsos & Sheu, 2004) developed a Bayesian Markov Chain Monte Carlo methodology for psychometric applications. Karabatsos & Ullrich (2002) demonstrated how this framework could be extended to polynomial conjoint structures. Karabatsos (2005) generalised this work with his multinomial Dirichlet framework, which enabled the probabilistic testing of many non-stochastic theories of mathematical psychology. [edit] The theory of conjoint measurement[edit] AxiomsAn additive conjoint system is simply defined as follows: where 1. WEAK ORDER. Suppose "
2. SINGLE CANCELLATION. The relation "
3. DOUBLE CANCELLATION. The relation " 4. SOLVABILITY. The relation " 5. ARCHIMEDEAN CONDITION. Let 6. ESSENTIALNESS. Attribute A is essential if and only if there exists 7. SYMMETRY. The relation " [edit] Representation theoremIf in any empirical circumstance Axioms 1 to 7 hold then for
If
That is, [edit] ExplanationArguably the most critical components of the theory of conjoint measurement are the cancellation axioms. Single cancellation is the lowest form of cancellation within Scott's (1964) hierarchy. Consider one of the attributes, A, that constitutes an additive conjoint system. Single cancellation states that if any two levels, a, b, of this attribute are weakly ordered, then this order holds irrespective of each and every level of the other attribute (X). The same holds for any two levels, x, y of X. Single cancellation is so-called because a single common element of two ordered pairs of elements cancel out to leave the same ordinal relationship holding on the remaining elements. Krantz, et al., (1971) originally called this axiom independence, as the ordinal relation between two levels of an attribute is independent of any and all levels of the other attribute. However, given that the term independence causes confusion with statistical concepts of independence, single cancellation is the preferable term. Figure One is a graphical representation of one instance of single cancellation. Satisfaction of the single cancellation axiom is necessary, but not sufficient, for the quantification of attributes A and X. It only demonstrates that the attributes concerned are at least weakly ordered. Informally, single cancellation does not sufficiently constrain the order upon the levels of Q to allow A and X to sustain the representation theorem stated above. For example, consider the ordered pairs (a, x), (b, x) and (b, y). If single cancellation holds then Single cancellation, however, does not determine the "right-leaning diagonal" relations. Even though by transitivity and single cancellation it was established that The double cancellation axiom concerns a class of such relations in which the common terms of two antecedent weak inequalities cancel out to produce a third inequality. Consider the instance of double cancellation graphically represented by Figure Two. The antecendent inequalities of this particular instance of double cancellation are
it follows that The number of instances of double cancellation is contingent upon the number of elements A and X contain. If there are n levels of A and m of X, then the number of instances of double cancellation is n! The next two axioms involve the concept of continuity. Solvability means that for any three elements of a, b, x and y, the fourth exists such that the equation However, as they involve infinitistic concepts, the solvability and Archimedean axioms cannot be expressed nor implied in a first order language sentence (Luce & Narens, 1992). Hence they are not amenable to direct testing in any finite empirical situation. But this does not entail that these axioms cannot be empirically tested. Scott's (1964) finite set of cancellation conditions can be used to indirectly test these axioms; the extent of such testing being empirically determined. For example, if both A and X possess three levels, the highest order cancellation axiom within Scott’s (1964) hierarchy that indirectly tests solvability and Archimedeaness is double cancellation. With four levels it is triple cancellation (Figure 3). If such tests are satisfied, the construction of standard sequences in differences upon A and X are possible. Hence these attributes may be dense as per the real numbers or equally spaced as per the integers (Krantz, et al., 1971). In other words, A and X are continuous quantities. Essentialness simply states both A and X must contain levels of differing magnitude. Symmetry means that any interval on one attribute (say, A), an interval on X can be found that is equivalent to the one in A. [edit] Conjoint measurement in n - componentsConjoint measurement in n components is simply a generalisation by Krantz, et al., (1971) of the theory of conjoint measurement to n disjoint attributes, where n [edit] AxiomsLet 1. WEAK ORDER. 2. SINGLE CANCELLATION. The relation " 3. RESTRICTED SOLVABILITY. The n + 1 - tuple 4. ARCHIMEDEAN CONDITION. 5. ESSENTIALNESS. At least three attributes are essential. [edit] Representation theoremIf and only if the above axioms hold, then there exist the real valued functions
If
The mathematical proof of this result is given in Krantz, et al. (1971, pp.307–309). [edit] ExplanationSingle cancellation in an n ≥ 3 conjoint structure is far more powerful than in the simple two attibute case of conjoint measurement. If the axiom holds upon a proper subset (M) of the total number of attributes involved (N), irrespective of any attribute in the set N – M, then assuming restricted solvability and the Archimedean condition, double cancellation will be satisfied (Krantz, et al., 1971, Lemma 6.14). However, given so little is often known about the structure of non-geometric, "intensive" attributes, the assumption of the solvability and Archimedean conditions is not really justified. All attribute pairs in any simple polynomial must satisfy the higher order cancellation axioms (Krantz & Tversky, 1971). However, as Krantz, et al., (1971) noted, empirical tests of these axioms are not easy to conduct with n-attributes. For example, if single cancellation is supported and if all n attributes have exactly the same number of j levels (where j ≥ 3), then the total number of instances of double cancellation is equal to [edit] References
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