Edge Rewrite
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

// request.cf · coarse context

A page that knows where it met you.

Only coarse request metadata is shown. This demo does not display or persist visitor IP addresses.

Country
US
Cloudflare location
CMH
Connection
HTTP/2
Language
Not provided

Ray ID: a22622f32c60cf4a

Jump to content

// Workers AI · dad joke modeWhat did free-choice profiling say to the date? You fit my profile.

From Wikipedia, the free encyclopedia

Free-choice profiling is a method for determining the quality of a thing by having a large number of subjects experience (view, taste, read, etc.) it and then allowing them to describe the thing in their own words, as opposed to posing them a set of "yes-no-maybe" questions. All of the descriptions are then analyzed to determine a "consensus configuration" of qualities, usually through Generalized Procrustes analysis (GPA) or Multiple factor analysis (MFA).[1]

Free-choice profiling first emerged in 1984, but the original published model has been modified by researchers into variations that are more applicable to their particular use.[2] For example, a technique employed by Jean Marc Sieffermann combined it with flash profiling, specifically using the free-profiling strategy of individual panelist vocabulary generation.[3] The method allows panelists to freely develop their own descriptors and scales.[4] A study shows that free-choice profiling can provide more accurate sample maps compared with other methodologies, such as project mapping and free sorting in the area of sensory characterization.[5]

Dr Françoise Wemelsfelder is a well-known scientist who has done extensive research in this field. [citation needed]

Notes and references

[edit]
  1. A comparison between GPA and MFA, based on sensory data, is a chapter of a recent book: Pagès Jérôme (2014). Multiple Factor Analysis by Example Using R. Chapman & Hall/CRC The R Series London 272 p
  2. Carpenter, Roland P.; Lyon, David H.; Hasdell, Terry A. (2000). Guidelines for Sensory Analysis in Food Product Development and Quality Control. Gaithesburg, MD: Aspen Publishers, Inc. p. 48. ISBN 0834216426.
  3. Lawless, Harry T.; Heymann, Hildegarde (2010). Sensory Evaluation of Food: Principles and Practices. New York: Springer Science & Business Media. p. 252. ISBN 9781441964878.
  4. Nollet, Leo M. L. (2012-05-29). Handbook of Meat, Poultry and Seafood Quality. John Wiley & Sons. ISBN 9781118352458.
  5. Varela, Paula; Ares, Gastón (2014). Novel Techniques in Sensory Characterization and Consumer Profiling. Boca Raton, FL: CRC Press. p. 373. ISBN 9781466566309.

Sources

[edit]