1961
DOI: 10.1007/bf02289712
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A double law of comparative judgment for the analysis of preferential choice and similarities data

Abstract: By virtue of certain modifications in the Law of Comparative Judgment, equations are developed which (i) permit the construction of a joint scale of individuals and items, as in the case of attitude measurement, directly from their pair-comparison preferences, and (ii) take into account the variable of laterMity which is significant for the construction of group preference scales.

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Cited by 31 publications
(8 citation statements)
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“…(It should be noted in passing that the original categorization of the statements is replicated; that is, again with the exception of Hm3, the extreme hawk statements are ranked above the moderate hawk statements, which in turn are ranked above the mild hawk statements; a perfect ordering is found for the dove statements.) The statements were scaled according to the "double law of comparative judgment" (Coombs, Greenberg, & Zinnes, 1961). This procedure converts the probability with which one statement is judged to be more extreme than another into a distance between the extremity of the two statements, which in turn is converted to a position on the pro-anti continuum; where there were missing comparisons, the incomplete data procedure outlined in Torgerson (1958, pp.…”
Section: Keswts _b the War In Vietnam Is A Costly But Necessarymentioning
confidence: 99%
“…(It should be noted in passing that the original categorization of the statements is replicated; that is, again with the exception of Hm3, the extreme hawk statements are ranked above the moderate hawk statements, which in turn are ranked above the mild hawk statements; a perfect ordering is found for the dove statements.) The statements were scaled according to the "double law of comparative judgment" (Coombs, Greenberg, & Zinnes, 1961). This procedure converts the probability with which one statement is judged to be more extreme than another into a distance between the extremity of the two statements, which in turn is converted to a position on the pro-anti continuum; where there were missing comparisons, the incomplete data procedure outlined in Torgerson (1958, pp.…”
Section: Keswts _b the War In Vietnam Is A Costly But Necessarymentioning
confidence: 99%
“…Indeed, strong support for this view is obtained from the fact that the stochastically dominant orderings for each subject arise from folding the a priori J-Scale at the point corresponding to the "50% point" on the psychometric function obtained from the categorization task. Furthermore, since choices were replicated, the probabilistic versions of his unfolding theory were appropriate (e.g., Coombs, 1958;Coombs et al, 1959), and, accordingly, the selective effects of laterality on stochastic transitivity should be evident. Indeed, for the bilateral-split triples, SST was satisfied almost always, and SST was rarely satisfied with the bilateral-adjacent triples, precisely as expected.…”
Section: Discussionmentioning
confidence: 99%
“…According to the probabilistic version of Coombs's unfolding theory (Coombs, 1958(Coombs, , 1964Coombs, Greenberg, & Zinnes, 1959), trial-to-trial variability in the location of the subject's ideal point, I, will exert selective effects on the consistency of binary choices, depending on whether the pair is bilateral or unilateral. Since variability in the ideal point changes the relative proximity of the stimuli to the ideal point in a bilateral pair, ideal point variability adds to the variability in the stimulus representation of bilateral pairs.…”
Section: P(arc)~minmentioning
confidence: 99%
“…A large distance between two real objects indicates that they are dissimilar and a large distance between an ideal object and a real object indicates that the real object has a high disutility or low utility. The normality assumption is common in the development ofprobabilistic unidimensional models ofdissimilarity and disutility (Coombs et al 1961). Specifically, for object S,, j = I , ..., n, we let X, = (x,,, .…”
Section: Probabilistic Multidimensional Scaling and Unfolding Modelsmentioning
confidence: 99%