Covariation assessment in rank order data

Published

Journal Article

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. Copyright © 1988 John Wiley & Sons, Ltd.

Full Text

Duke Authors

Cited Authors

  • Bettman, JR; Creyer, EH; John, DR; Scott, CA

Published Date

  • January 1, 1988

Published In

Volume / Issue

  • 1 / 4

Start / End Page

  • 239 - 254

Electronic International Standard Serial Number (EISSN)

  • 1099-0771

International Standard Serial Number (ISSN)

  • 0894-3257

Digital Object Identifier (DOI)

  • 10.1002/bdm.3960010404

Citation Source

  • Scopus