Covariation assessment in rank order data

James R. Bettman, Elizabeth H. Creyer, Deborah Roedder John, Carol A. Scott

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Two experiments were conducted to investigate how individuals assess covariation with rank order data. In both studies, subjects were given sets of rank order data, each set consisting of ten items ranked on two characteristics, and were asked to estimate the degree of relationship for each set. Contrary to previous research, subjects' estimates of covariation in this task were quite sensitive to actual levels of correlation in the data and remained unaffected by simple variations in the way rank order data were presented. More importantly, it appeared that this sensitivity to covariation was due likely to the use of a simple heuristic referred to here as the total discrepancy heuristic. These findings are discussed in terms of the availability of simple heuristics in rank‐ordered versus other types of data and the consequences of using such heuristics in decision‐making contexts.

Original languageEnglish (US)
Pages (from-to)239-254
Number of pages16
JournalJournal of Behavioral Decision Making
Volume1
Issue number4
DOIs
StatePublished - Jan 1 1988
Externally publishedYes

Keywords

  • Covariation
  • Format effects
  • Intuitive statistics
  • Judgment

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