Consensus and Dissention: Theory and properties

Mark J. Wierman; William J. Tastle

doi:10.1109/NAFIPS.2005.1548511

Consensus and Dissention: Theory and properties

Mark J. Wierman, William J. Tastle

Department of Computer Science, Design & Journalism

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Scopus citations

Abstract

The Likert scale is a popular tool for assessing peoples attitude about various questions. This papers introduces two new measures, Dissension and Consensus, that provide a better statistic for assessing amount of overall agreement in a population when data is extracted from the population using a Likert scale. The measures are applicable to any discrete random variable.

Original language	English
Title of host publication	NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society
Pages	75-79
Number of pages	5
Volume	2005
DOIs	https://doi.org/10.1109/NAFIPS.2005.1548511
State	Published - 2005
Event	NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society - Detroit, MI, United States Duration: Jun 26 2005 → Jun 28 2005

Other

Other	NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society
Country/Territory	United States
City	Detroit, MI
Period	6/26/05 → 6/28/05

All Science Journal Classification (ASJC) codes

Computer Science(all)
Media Technology

Access to Document

10.1109/NAFIPS.2005.1548511

Cite this

Wierman, MJ & Tastle, WJ 2005, Consensus and Dissention: Theory and properties. in NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society. vol. 2005, 1548511, pp. 75-79, NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society, Detroit, MI, United States, 6/26/05. https://doi.org/10.1109/NAFIPS.2005.1548511

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AU - Tastle, William J.

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AB - The Likert scale is a popular tool for assessing peoples attitude about various questions. This papers introduces two new measures, Dissension and Consensus, that provide a better statistic for assessing amount of overall agreement in a population when data is extracted from the population using a Likert scale. The measures are applicable to any discrete random variable.

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DO - 10.1109/NAFIPS.2005.1548511

M3 - Conference contribution

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BT - NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society

Y2 - 26 June 2005 through 28 June 2005

ER -

Consensus and Dissention: Theory and properties

Abstract

Other

All Science Journal Classification (ASJC) codes

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