2005
DOI: 10.1007/s11135-005-8103-6
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Ordinal scales and fuzzy set systems to measure agreement: An application to the evaluation of teaching activity

Abstract: teaching evaluation, Likert scale, neutral position, fuzzy set theory,

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Cited by 65 publications
(31 citation statements)
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“…Fuzzy rating scales have been intensively applied in higher education context to measure quality related issues (see e.g. Basaran et al,2011;Lalla et al, 2005;Yu et al, 2016;Lupo, 2013;Liu et al, 2015;Venkatesan and Fragomeni, 2008). Based on the relevant literature the next research issue was addressed by applying a fuzzy-scale in case of student evaluations in the framework of the peer review program and analyze the benefits of fuzzy scales compared to traditional Likert scales.…”
Section: Responsibility Of the Organizing Committee Of The Conferencementioning
confidence: 99%
“…Fuzzy rating scales have been intensively applied in higher education context to measure quality related issues (see e.g. Basaran et al,2011;Lalla et al, 2005;Yu et al, 2016;Lupo, 2013;Liu et al, 2015;Venkatesan and Fragomeni, 2008). Based on the relevant literature the next research issue was addressed by applying a fuzzy-scale in case of student evaluations in the framework of the peer review program and analyze the benefits of fuzzy scales compared to traditional Likert scales.…”
Section: Responsibility Of the Organizing Committee Of The Conferencementioning
confidence: 99%
“…Recent studies have applied multilevel modeling to SET (Marsh and Hattie, 2002;Tings, 2000;Toland and De Ayala, 2005) and other works have been carried out using models estimated through ordinary statistical techniques (Lalla et al, 2004;Göb et al, 2007).…”
Section: Reliability Validity and Multidimensionality Of Setmentioning
confidence: 99%
“…In most cases we opted for closed questions (about 40 in total), which are quick to fill in and easy to analyze. Even though Likert-like scales have some debated issues (Lalla et al 2004), they were simple enough for all users, and allowed us to capture subjective perceptions in a comparable way. To prevent users from filling in questions using neutral answers as a shortcut, the scalar answers provided contained an even number of options (6), so that users would have to choose between "under the average" and "over the average").…”
Section: Model Implementationmentioning
confidence: 99%