The Proceedings of the Information Systems Education Conference 2005: §2322    Home    Papers/Indices    prev (§2314)    Next (§2323)
Fri, Oct 7, 10:30 - 10:55, Governors D     Paper (refereed)
Recommended Citation: Tastle, J M and W J Tastle.  Extending the Consensus Measure: Analyzing Ordinal Data With Respect to Extrema.  In The Proceedings of the Information Systems Education Conference 2005, v 22 (Columbus OH): §2322. ISSN: 1542-7382. (A later version appears in Information Systems Education Journal 4(72). ISSN: 1545-679X.)
 
Recipient of Best Paper Student-Faculty Award
 
CDpic

Extending the Consensus Measure: Analyzing Ordinal Data With Respect to Extrema

thumb
Refereed5 pages
Jennifer M. Tastle    [a1] [a2]
Dept of Accounting
Ithaca College    [u1] [u2]
Ithaca, New York, USA    [c1] [c2]

William J. Tastle    [a1] [a2]
Management Information Systems
Ithaca College    [u1] [u2]
Ithaca, New York, USA    [c1] [c2]

The existence of an ordinal measure already exists and is well justified, but a modest extension of the consensus formula permits Likert scale data to be assessed with respect to a predetermined extreme value, and the results used for comparisons and trajectories. The new measure, called the strength of consensus measure, is a modification of both the Shannon entropy, an equation common to the foundation of information theory, and the standard consensus measure.

Keywords: strength of consensus, agreement, consensus, ordinal measure, entropy

Read this refereed paper in Adobe Portable Document (PDF) format. (5 pages, 281 K bytes)
Preview this refereed paper in Plain Text (TXT) format. (13 K bytes)

CDpic
Comments and corrections to
webmaster@isedj.org