Title :
Agreement, agreement distributions, and distance
Author :
Tastle, William J. ; Wierman, Mark J.
Author_Institution :
Dept. of Manage., Ithaca Coll., Ithaca, NY
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.
Keywords :
behavioural sciences; decision making; information analysis; agreement distributions; agreement measure; decision making; distance calculation; group positional changes; Application software; Computer science; Decision making; Distributed computing; Educational institutions; Frequency measurement; Global warming; Particle measurements; Position measurement; Size measurement; agreement; agreement distance; agreement distribution; agreement measure;
Conference_Titel :
Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4244-2351-4
Electronic_ISBN :
978-1-4244-2352-1
DOI :
10.1109/NAFIPS.2008.4531271