Incorporating test and control product variability in degree of difference tests

Young, Theresa A.; Stoer, Natalie; Holschuh, Nort; Case, Faye

doi:10.1016/j.foodqual.2008.04.002

Cited by 15 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Historically, this method resembles Torgerson's "method of triads" of which the triangle test is a special case (Ennis et al, 1988). Pecore et al (2006) and Young et al (2008) used a similar approach, except that overall degree of difference rating was used (discussed below). The choice of products to be included in the set of acceptable standards is critical.…”

Section: The Multiple Standardsmentioning

confidence: 99%

“…This factor may contribute to a high level of beta-risk, i.e., the chance of missing a true difference. A similar approach to the multiple standards choice test was described by Pecore et al (2006) and Young et al (2008) but using degree of difference ratings, rather than a choice test. This approach was part of the original intent of the degree of difference test proposed by Aust et al (1985).…”

Section: The Multiple Standardsmentioning

confidence: 99%

“…Of course, this kind of test requires a sufficient panel size to get a meaningful and statistically powerful test. Later, Young et al (2008) extended the model and procedure to include two test lots as well as two control lots and used an incomplete block design to limit the six comparisons to three comparisons per panelist. The critical comparison in this case is between the average of the four means comparing tests to controls versus the average of the mean controlcontrol score and the mean test-test lot score.…”

Section: The Multiple Standardsmentioning

confidence: 99%

See 2 more Smart Citations

Quality Control and Shelf-Life (Stability) Testing

Lawless

Heymann

2010

Food Science Text Series

View full text Add to dashboard Cite

Two routine functions of a sensory department may be quality control testing and the measurement of product stability or shelf life. These activities may involve any of the three main kinds of sensory testing or modifications of them. However, there are unique constraints for these tests, different types of analyses, and specific models for these data. This chapter discusses different procedures for sensory quality control, presents a recommended procedure, and outlines the programmatic requirements for establishing and maintaining a sensory QC function. The second section of the chapter presents an introduction to shelf-life testing, its special considerations, and some of the models used for stability testing data.Consumer researchers are well aware of the quality of products. The food industry constantly faces the demand to maintain both quality and profitability simultaneously. Quality, however, is an elusive concept and as such must be operationalized and measured in order for it to be maintained.-H. R. Moskowitz (1995)

show abstract

Section: The Multiple Standardsmentioning

confidence: 99%

Section: The Multiple Standardsmentioning

confidence: 99%

Section: The Multiple Standardsmentioning

confidence: 99%

See 1 more Smart Citation

Quality Control and Shelf-Life (Stability) Testing

Lawless

Heymann

2010

Food Science Text Series

View full text Add to dashboard Cite

show abstract

“…It is one of the differences of the two methods and the corresponding models. Torgerson's method might be more applicable for variable products, with inherent intra-product variations (Young et al 2008). There are other protocols that allow the simultaneous investigation of the similarity between more than two samples including Richardson's method of triads (Richardson 1938) and the multiple dual pair (Rousseau and Ennis 2002), see, e.g.…”

Section: Introductionmentioning

confidence: 99%

Estimating and Testing Parameters of the Thurstonian Model for Torgerson's Method of Triads

Bi¹,

Kuesten

2015

Journal of Sensory Studies

View full text Add to dashboard Cite

Torgerson's complete method of triads is a famous and useful method for comparison of multiple samples. However, this method has not been used widely in the sensory field. One possible reason is that the Thurstonian model of the method is complicated and there is no published tables and available computer software for applications of the method. This paper discusses a Thurstonian model for a special case of the method with one control sample and two test samples. A table for Thurstonian discriminal distances and proportions of responses is produced. A set of R/S-Plus codes was developed and provided for applications of the method including estimations of parameters and covariance matrix, difference and similarity tests. A case study is provided for illustration of applications of the methods. The main novel contributions of this paper to the method are (1) using a computer-intensive approach to produce a simulation-based psychological function for the special case of the method and (2) using a delta method to derive a covariance matrix of the estimators of the two Thurstonian discriminal distances. bs_bs_banner Journal of Sensory Studies

show abstract