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Judging Similarity Among Strings Described By Hierarchical Trees, Lola L. Lopes, Michael D. Johnson
Judging Similarity Among Strings Described By Hierarchical Trees, Lola L. Lopes, Michael D. Johnson
Michael D. Johnson
The paper compares the tree-theoretical model of similarity judgement (in which the similarity between two objects is a function of the distance between them in a conceptual tree) with an averaging model of similarity judgement that is drawn jointly from information integration theory and from current research indicating the prevalence of anchoring and adjustment mechanisms in judgement. Results of an experiment are presented that suggest that even when subjects organize conceptual material as a hierarchical tree, judgments of similarity among the objects are better accounted for by an averaging mechanism than by distances in the tree. These data are discussed …
A Review Of Consumer Judgment And Choice, Michael D. Johnson, Christopher P. Puto
A Review Of Consumer Judgment And Choice, Michael D. Johnson, Christopher P. Puto
Michael D. Johnson
Whether the goal is to improve or predict consumer decisions, understanding human judgment and choice processes long has been recognized as an essential component in the study of marketing. Though several reviews of judgment and choice research have been published recently (Abelson and Levi 1985; Einhom and Hogarth 1981; Pitz and Sachs 1984; Slovic, Lichtenstein, and Fischhoff 1985), relatively little attention has been given to the growing body of knowledge on consumer (including industrial buyer) judgment and choice. Consumer judgment and choice researchers face unique conceptual, contextual, and methodological problems that warrant special attention.