Abstract
Much research data is collected and analyzed as ordinal scale data. The Likert scale is an example of such a data collection tool. Comparing different Likert scale data sets can be difficult, for no specific tool has been identified that is conceptually sound, though researchers typically apply ratio scale mathe-matics to the data. In this paper a modification of the consensus measure is examined and shown to be a valuable tool in the comparison and ranking of ordinal data. By identifying a specific target category, i.e., the "strongly agree" category of a Likert scale, the target consensus measure calculates a value between 0 and 1, the 0 identifying a Likert scale frequency distribution as being the furthest distance possible from the targeted value, and the 1 representing all values being assigned to the targeted category.
| Original language | English |
|---|---|
| Title of host publication | Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS |
| Pages | 403-407 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 2006 |
| Event | NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society - Montreal, QC, Canada Duration: Jun 3 2006 → Jun 6 2006 |
Other
| Other | NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society |
|---|---|
| Country | Canada |
| City | Montreal, QC |
| Period | 6/3/06 → 6/6/06 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Media Technology
Cite this
Adjusting the consensus measure to target ordinal scale arguments. / Tastle, William J.; Wierman, Mark J.
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. 2006. p. 403-407 4216836.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Adjusting the consensus measure to target ordinal scale arguments
AU - Tastle, William J.
AU - Wierman, Mark J.
PY - 2006
Y1 - 2006
N2 - Much research data is collected and analyzed as ordinal scale data. The Likert scale is an example of such a data collection tool. Comparing different Likert scale data sets can be difficult, for no specific tool has been identified that is conceptually sound, though researchers typically apply ratio scale mathe-matics to the data. In this paper a modification of the consensus measure is examined and shown to be a valuable tool in the comparison and ranking of ordinal data. By identifying a specific target category, i.e., the "strongly agree" category of a Likert scale, the target consensus measure calculates a value between 0 and 1, the 0 identifying a Likert scale frequency distribution as being the furthest distance possible from the targeted value, and the 1 representing all values being assigned to the targeted category.
AB - Much research data is collected and analyzed as ordinal scale data. The Likert scale is an example of such a data collection tool. Comparing different Likert scale data sets can be difficult, for no specific tool has been identified that is conceptually sound, though researchers typically apply ratio scale mathe-matics to the data. In this paper a modification of the consensus measure is examined and shown to be a valuable tool in the comparison and ranking of ordinal data. By identifying a specific target category, i.e., the "strongly agree" category of a Likert scale, the target consensus measure calculates a value between 0 and 1, the 0 identifying a Likert scale frequency distribution as being the furthest distance possible from the targeted value, and the 1 representing all values being assigned to the targeted category.
UR - http://www.scopus.com/inward/record.url?scp=46749125361&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46749125361&partnerID=8YFLogxK
U2 - 10.1109/NAFIPS.2006.365443
DO - 10.1109/NAFIPS.2006.365443
M3 - Conference contribution
SN - 1424403634
SN - 9781424403639
SP - 403
EP - 407
BT - Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
ER -