MAZUREK, Jiří, Cristina PEREZ RICO, Carlos GARCIA FERNANDEZ, Jean-Pierre MAGNOT and Tristan MAGNOT. The 5-Item Likert Scale and Percentage Scale Correspondence with Implications for the Use of Models with (Fuzzy) Linguistic Variables. REVISTA DE MÉTODOS CUANTITATIVOS PARA LA ECONOMÍA Y LA EMPRESA. 2021, vol. 31, není, p. 3-16. ISSN 1886-516X.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name The 5-Item Likert Scale and Percentage Scale Correspondence with Implications for the Use of Models with (Fuzzy) Linguistic Variables
Authors MAZUREK, Jiří (203 Czech Republic, guarantor, belonging to the institution), Cristina PEREZ RICO (724 Spain), Carlos GARCIA FERNANDEZ (724 Spain), Jean-Pierre MAGNOT (250 France) and Tristan MAGNOT (250 France).
Edition REVISTA DE MÉTODOS CUANTITATIVOS PARA LA ECONOMÍA Y LA EMPRESA, 2021, 1886-516X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50202 Applied Economics, Econometrics
Country of publisher Spain
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/47813059:19520/21:A0000243
Organization unit School of Business Administration in Karvina
Keywords in English decision-making; evaluation; fuzzy linguistic variables; international study; Likert scale
Tags Reviewed
Changed by Changed by: Miroslava Snopková, učo 43819. Changed: 12/4/2022 09:38.
Abstract
The aim of this paper is to examine how people perceive correspondence between the 5-item Likert scale and the percentage scale (the LS-PS correspondence thereinafter). Are all five items of the Likert scale equidistant? Do people use the same scale when evaluating different objects? Are men and women different? Are people from different countries / cultures different? The method of the study was a questionnaire with 661 participating respondents altogether from the Czech Republic, Ecuador, and France. The results indicate that the 5-item Likert scale is neither equidistant, nor symmetrical. Furthermore, there are (highly) statistically significant differences in the LS-PS correspondence with respect to location, age, or gender of respondents. The results can be used as an input for more precise decision-making modeling associated with (fuzzy) linguistic variables.
PrintDisplayed: 7/5/2024 03:15