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...
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| Published in | Journal of sensory studies Vol. 23; no. 2; pp. 186 - 204 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
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Malden, USA
Blackwell Publishing Inc
01.04.2008
Blackwell |
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| Abstract | 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. |
|---|---|
| AbstractList | 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. 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. 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. |
| Author | HAUTUS, M.J. O'MAHONY, M. |
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Can the same-different test use a beta criterion as well as a tau criterion? Food. Qual. Prefer. 18, 605-613. 1993; 8 2002; 14 1991; 56 1979b; 32 1992a 1962; 34 1988b; 42 1960; 7 1965; 19 1986b; 11 1979a; 4 1988a; 41 1992; 7 1990; 44 1979; 26 1988a; 117 2006; 21 1995; 24 1997; 59 1995; 23 1997; 12 1987 1951a; 16 1988; 44 2001; 16 1988b; 32 1981 1998; 51 1985; 10 1996; 7 1998; 13 1980; 28 1980; 27 2007; 18 1987; 52 1978; 10 1951b; 16 1981a; 46 1995; 10 1977; 84 1997 2005 1992b; 23 1992 1996; 58 1951c; 16 1994; 47A 1995; 6 1995; 5 1981b; 49 1994; 9 1982; 47 1974; 65 1994; 19 1986a; 30 1993; 54 2004; 13 1964 1927b; 38 1927a; 34 1966 ENNIS D.M. (e_1_2_9_7_1) 1988; 42 e_1_2_9_31_1 e_1_2_9_52_1 e_1_2_9_50_1 e_1_2_9_10_1 e_1_2_9_35_1 e_1_2_9_56_1 e_1_2_9_12_1 e_1_2_9_33_1 e_1_2_9_54_1 VESSEREAU A. (e_1_2_9_66_1) 1965; 19 e_1_2_9_39_1 e_1_2_9_16_1 e_1_2_9_37_1 e_1_2_9_58_1 e_1_2_9_18_1 e_1_2_9_41_1 e_1_2_9_64_1 e_1_2_9_20_1 e_1_2_9_62_1 e_1_2_9_22_1 e_1_2_9_45_1 e_1_2_9_24_1 e_1_2_9_43_1 e_1_2_9_6_1 e_1_2_9_4_1 e_1_2_9_60_1 e_1_2_9_2_1 ENNIS D.M. (e_1_2_9_8_1) 1990; 44 ELLIOTT P.B. (e_1_2_9_5_1) 1964 e_1_2_9_26_1 e_1_2_9_49_1 e_1_2_9_47_1 e_1_2_9_30_1 e_1_2_9_53_1 e_1_2_9_11_1 e_1_2_9_34_1 e_1_2_9_57_1 MACMILLAN N.A. (e_1_2_9_42_1) 2005 e_1_2_9_13_1 e_1_2_9_32_1 e_1_2_9_55_1 ENNIS D.M. (e_1_2_9_14_1) 1992 URA S. (e_1_2_9_65_1) 1960; 7 e_1_2_9_15_1 e_1_2_9_38_1 e_1_2_9_17_1 e_1_2_9_36_1 e_1_2_9_59_1 e_1_2_9_19_1 e_1_2_9_63_1 e_1_2_9_61_1 e_1_2_9_21_1 e_1_2_9_46_1 e_1_2_9_67_1 e_1_2_9_23_1 e_1_2_9_44_1 e_1_2_9_3_1 ENNIS D.M. (e_1_2_9_9_1) 1992 e_1_2_9_25_1 LEE H‐S. (e_1_2_9_40_1) 2004; 13 e_1_2_9_27_1 e_1_2_9_48_1 e_1_2_9_29_1 GREEN D.M. (e_1_2_9_28_1) 1966 NOREEN D.L. (e_1_2_9_51_1) 1981 |
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In psychology, the receiver operating characteristic (ROC) curve is a key part of Signal Detection Theory, which is used for calculating d′ values in... In psychology, the receiver operating characteristic (ROC) curve is a key part of Signal Detection Theory, which is used for calculating d' values in... |
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| SubjectTerms | Biological and medical sciences Food industries food science foods Fundamental and applied biological sciences. Psychology General aspects Methods of analysis, processing and quality control, regulation, standards researchers sensory evaluation |
| Title | THE SIGNAL DETECTION THEORY ROC CURVE: SOME APPLICATIONS IN FOOD SENSORY SCIENCE |
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