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Textile and Apparel Science

Applying STRESS to Evaluate Variabilities in Consumer Responses in the Textile Industry

Authors
  • Jiajun Liu (North Carolina State University)
  • Jiufeng Liu (North Carolina State University)
  • Lori Rothenberg (North Carolina State University)
  • Renzo Shamey (North Carolina State University)
  • Zhenhua Luo (North Carolina State University)

Abstract

The standardized residual sum of squares (STRESS) index has been employed to determine the goodness of fit between sensory and measured datasets. It has also been applied to determine inter- and intra-individual variability in repeated sensory evaluations. The primary goal of this work is to demonstrate the application of STRESS in the perceptual evaluation of textile products. Using case studies, the suitability of STRESS for evaluation of observer preferences of clothing colors was demonstrated. It was shown that the metric is a useful analytical tool for quantifying observer variability in perceptual assessments within the textile and apparel domains.

Keywords: multiple dimensional scaling, consumer

How to Cite:

Liu, J., Liu, J., Rothenberg, L., Shamey, R. & Luo, Z., (2019) “Applying STRESS to Evaluate Variabilities in Consumer Responses in the Textile Industry”, International Textile and Apparel Association Annual Conference Proceedings 76(1). doi: https://doi.org/10.31274/itaa.8404

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Published on
2019-12-15

License

Creative Commons Attribution 4.0