Developed by Tragon Corporation in 1974, Quantitative Descriptive Analysis (QDA) is a behavioral sensory evaluation approach that uses descriptive panels to measure a product's sensory characteristics.Panel members use their senses to identify perceived similarities and differences in products, and articulate those perceptions in their own words.Sensory evaluation is a science that measures, analyzes, and interprets the reactions of the senses of sight, smell, sound, taste, and texture (or kinesthesis) to products. It is a people science; i.e., people are essential to obtain information about products.
Tragon QDA is a registered trademark with the United States Patent and Trademark Office.The term was coined by Herbert Stone (a food scientist) and Joel L. Sidel (a psychologist)[1] in 1974 while at the Stanford Research Institute, (now known as SRI International (SRI)).Stone and Sidel later founded Tragon Corporation, a successful spin-off of SRI, to develop and market QDA.
Originally developed within the food industry, QDA is the basis of many disciplines that involve the senses, such as clothing, cosmetics, and electronics.
Many researchers view quantitative research design as the best approach to scientific research because it offers precise measurement and analysis.In quantitative research design the researcher will count and classify, and build statistical models to then explain what is observed. Data collected using this research approach is in the form of numbers and statistics.In the article entitled, “An Analysis of the Strengths and Limitations of Qualitative and Quantitative Research Paradigms”, author Atieno (2009), suggests, “quantitative research paradigm…is empirical in nature; it is also known as the scientific research paradigm”.[2] This research process includes a method of deductive reasoning by use of measurable tools to collect relevant data.Quantitative research then results in precise measurements.
QDA is a behavioral approach that uses descriptive panels to measure a product's sensory characteristics.The key aspects of the methodology of Stone and Sidel are:
Analyses of QDA data include: