Consensus and dissention: A new measure of agreement

William J. Tastle; Mark J. Wierman

doi:10.1109/NAFIPS.2005.1548566

Consensus and dissention: A new measure of agreement

William J. Tastle, Mark J. Wierman

Department of Computer Science, Design & Journalism

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

19 Scopus citations

Abstract

This paper introduces a new measure of ordinal scales, specifically that of the Likert scale. An overview of the Likert scale is given and a set of requirements is presented that should be satisfied to assure a proper meaning of consensus within the confines of the Likert scale. Illustrations compare the consensus measure with entropy and other statistical measures. The consensus measure also serves as an effective measure of dispersion.

Original language	English
Title of host publication	NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society
Pages	385-388
Number of pages	4
Volume	2005
DOIs	https://doi.org/10.1109/NAFIPS.2005.1548566
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	United States
City	Detroit, MI
Period	6/26/05 → 6/28/05

All Science Journal Classification (ASJC) codes

Computer Science(all)
Media Technology

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Tastle, WJ & Wierman, MJ 2005, Consensus and dissention: A new measure of agreement. in NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society. vol. 2005, 1548566, pp. 385-388, 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.2005.1548566

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AU - Wierman, Mark J.

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AB - This paper introduces a new measure of ordinal scales, specifically that of the Likert scale. An overview of the Likert scale is given and a set of requirements is presented that should be satisfied to assure a proper meaning of consensus within the confines of the Likert scale. Illustrations compare the consensus measure with entropy and other statistical measures. The consensus measure also serves as an effective measure of dispersion.

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DO - 10.1109/NAFIPS.2005.1548566

M3 - Conference contribution

AN - SCOPUS:33745004182

VL - 2005

SP - 385

EP - 388

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: A new measure of agreement

Abstract

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All Science Journal Classification (ASJC) codes

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