THE SIGNAL DETECTION THEORY ROC CURVE: SOME APPLICATIONS IN FOOD SENSORY SCIENCE

ABSTRACT In psychology, the receiver operating characteristic (ROC) curve is a key part of Signal Detection Theory, which is used for calculating d′ values in discrimination tests. In food sensory science, the ROC curve can also be a useful tool. To give a specific example, it is not always convenie...

Full description

Saved in:
Bibliographic Details
Published inJournal of sensory studies Vol. 23; no. 2; pp. 186 - 204
Main Authors O'MAHONY, M., HAUTUS, M.J.
Format Journal Article
LanguageEnglish
Published Malden, USA Blackwell Publishing Inc 01.04.2008
Blackwell
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:ABSTRACT In psychology, the receiver operating characteristic (ROC) curve is a key part of Signal Detection Theory, which is used for calculating d′ values in discrimination tests. In food sensory science, the ROC curve can also be a useful tool. To give a specific example, it is not always convenient to use forced‐choice protocols for difference tests; foods may be fatiguing, and assessments with single presentations, like the Yes–No procedure, might be more appropriate. In this case, ROC curves provide a useful method for computing d′ values. More generally, ROC curves give information about cognitive strategies. Cognitive strategies are important for difference tests. Values of d′ can only be computed if the cognitive strategy used in the test is known. PRACTICAL APPLICATIONS When using methods other than two‐alternative forced‐choice in difference testing, a receiver operating characteristic (ROC) curve would be required to compute d′. This is because when assessing discrimination ability, the cognitive strategy of the subject must be taken into account, and ROC curves can sometimes reveal the cognitive strategy used by the subject. This article describes how the cognitive strategy can be determined from the subject's ROC curve. The hidden assumptions made when using ROC curves and how these assumptions can be tested are also given. This information is essential to researchers in sensory evaluation as well as those using these methods in a practical setting.
Bibliography:ArticleID:JOSS149
istex:949C21032328143A7FB1FE748872587528E47B96
ark:/67375/WNG-713Z436D-6
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0887-8250
1745-459X
DOI:10.1111/j.1745-459X.2007.00149.x