A fuzzy set theory solution to combining Likert items into a single overall scale (or subscales)

A fuzzy set theory solution to combining Likert items into a single overall scale (or subscales) Likert scales (or subscales) are usually constructed by summing up the items when the assessment of their psychometric properties has resulted in showing that the scale is both reliable and valid. This paper presents a methodology for developing a fuzzy set theory solution to combine Likert items into a single overall scale (or subscales). The proposed methodology puts together information produced by construct validity assessment, statistical analysis and experts’ knowledge produced during theory development, in a fuzzy inference system to develop a more accurate attitude measurement. The evaluation of the methodology presented is tested on a Likert scale that was used in a large-scale sample survey for measuring xenophobia in Northern Greece conducted by the National Centre for Social Research. The methodology can be applied with minor modifications to other data sets. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

A fuzzy set theory solution to combining Likert items into a single overall scale (or subscales)

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Publisher
Springer Journals
Copyright
Copyright © 2014 by Springer Science+Business Media Dordrecht
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-014-0021-z
Publisher site
See Article on Publisher Site

Abstract

Likert scales (or subscales) are usually constructed by summing up the items when the assessment of their psychometric properties has resulted in showing that the scale is both reliable and valid. This paper presents a methodology for developing a fuzzy set theory solution to combine Likert items into a single overall scale (or subscales). The proposed methodology puts together information produced by construct validity assessment, statistical analysis and experts’ knowledge produced during theory development, in a fuzzy inference system to develop a more accurate attitude measurement. The evaluation of the methodology presented is tested on a Likert scale that was used in a large-scale sample survey for measuring xenophobia in Northern Greece conducted by the National Centre for Social Research. The methodology can be applied with minor modifications to other data sets.

Journal

Quality & QuantitySpringer Journals

Published: Mar 25, 2014

References

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