Sureness Judgements and R-Index Calculations and Their Applications

Danielle van Hout, Hye Seong Lee

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The R-index is a non-parametric analysis method used to compare samples in A–Not A or same–different tests with confidence ratings, as well as for analyzing ranking tests. When designing an R-index study, factors such as participant familiarity with the reference, the number of products, and sample sizes must be taken into account. In A–Not A and same–different tests, confidence judgments are employed to address response bias and criterion variation. Comprehensive guidelines are provided for analyzing A–Not A and ranking data using the R-index, which includes determining the significance of the outcomes. The chapter also delves into the various objectives for which R-index analysis can be employed and presents a case study to exemplify the application of R-index analysis on preference ranking data.

Original languageEnglish
Title of host publicationDiscrimination Testing in Sensory Evaluation
Publisherwiley
Pages131-150
Number of pages20
ISBN (Electronic)9781118635353
ISBN (Print)9780470671405
DOIs
StatePublished - 1 Jan 2024

Bibliographical note

Publisher Copyright:
© 2024 John Wiley & Sons Ltd. All rights reserved.

Fingerprint

Dive into the research topics of 'Sureness Judgements and R-Index Calculations and Their Applications'. Together they form a unique fingerprint.

Cite this