Agreement, agreement distributions, and distance

William J. Tastle, Mark J. Wierman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Data collected by ordered category, i.e. a Likert scale, can be both challenging to understand and difficult to compare with other similar kinds of data. Building on the agreement measure we extend the application to include the calculation of a distance by which comparisons between agreement distributions can be made. This is useful in decision making when it is necessary to determine group positional changes over time, or proximity to agreement among separate teams.

Original languageEnglish (US)
Title of host publication2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
DOIs
StatePublished - Sep 11 2008
Event2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 - New York City, NY, United States
Duration: May 19 2008May 22 2008

Publication series

NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Other

Other2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
CountryUnited States
CityNew York City, NY
Period5/19/085/22/08

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Tastle, W. J., & Wierman, M. J. (2008). Agreement, agreement distributions, and distance. In 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 [4531271] (Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS). https://doi.org/10.1109/NAFIPS.2008.4531271