2017
DOI: 10.1016/j.apergo.2017.03.005
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Design and validation of an aircraft seat comfort scale using item response theory

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Cited by 25 publications
(23 citation statements)
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“…Seat comfort is considered to be one of the most important factors in airline selection (Da Silva Menegon et al 2017). In recent years, passengers have also seen seat comfort as an increasingly attractive service item (Chou et al 2011).…”
Section: Hypotheses Developmentmentioning
confidence: 99%
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“…Seat comfort is considered to be one of the most important factors in airline selection (Da Silva Menegon et al 2017). In recent years, passengers have also seen seat comfort as an increasingly attractive service item (Chou et al 2011).…”
Section: Hypotheses Developmentmentioning
confidence: 99%
“…Seat comfort becomes even more critical on long-haul flights (Šebjan et al 2017). Seat comfort is an important factor that allows airlines to differentiate from their competitors while providing a more satisfactory service experience (Da Silva Menegon et al 2017). Ostrowski et al (1993) reported that seat comfort has the highest impact on service quality.…”
Section: Hypotheses Developmentmentioning
confidence: 99%
“…An instrument can only be considered valid if it is capable of adequately capture one pre-specified underlying concept 21,30 .…”
Section: Discussionmentioning
confidence: 99%
“…One of the great advantages of IRT in relation to CTT is to allow the achievement of a scale where the items and individuals are positioned and interpreted in the context of the study. For this, it uses models, such as the three-parameter One-Dimensional Logistic Model, proposed by Bock & Zimowski 19 , in which the first parameter shows the discrimination index of the item; the second, the difficulty index of the item, which is measured on the same scale as the respondent´s latent trace, and the third parameter, the probability of correct response by chance 18,20,21 .…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, if the rule is applied inflexibly, many items will not be used and the scale is harmed. For example, Alves and Bornia (), Milnitz and Tubino (), and Menegon et al () use items that meet two of the three criteria. Trierweiller et al () use items that meet only one anchoring criteria, with the amount ≥0.64 considered as a high probability of positive response.…”
Section: Theoretical Referencementioning
confidence: 99%