Fuzziness and Bias in Decision-Making Processes Using an Arithmetic Mean Criterion

Fuzziness and Bias in Decision-Making Processes Using an Arithmetic Mean Criterion Grade averaging (by arithmetic mean) is often performed as an attempt to assess overall student performance. In the case of grade comparison originating in non-equivalent scales, rank errors and absurd averaging may result. As averages are sometimes used for candidate selection, the paper dicusses how decisions based on arithmetic mean interpretation may be true, false, or fuzzy, according to different categories of participating candidates. A two stage selection process is analyzed from the perspective of candidate categories. The impact of the choice of asessment scale on the decision-making process is also evaluated and statistical biases are identified. The relevance of using a uniformity criterion is demonstrated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Fuzziness and Bias in Decision-Making Processes Using an Arithmetic Mean Criterion

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2006 by Springer
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-005-1608-1
Publisher site
See Article on Publisher Site

Abstract

Grade averaging (by arithmetic mean) is often performed as an attempt to assess overall student performance. In the case of grade comparison originating in non-equivalent scales, rank errors and absurd averaging may result. As averages are sometimes used for candidate selection, the paper dicusses how decisions based on arithmetic mean interpretation may be true, false, or fuzzy, according to different categories of participating candidates. A two stage selection process is analyzed from the perspective of candidate categories. The impact of the choice of asessment scale on the decision-making process is also evaluated and statistical biases are identified. The relevance of using a uniformity criterion is demonstrated.

Journal

Quality & QuantitySpringer Journals

Published: Feb 2, 2005

References

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