The 5-Item Likert Scale and Percentage Scale Correspondence with Implications for the Use of Models with (Fuzzy) Linguistic Variables
DOI:
https://doi.org/10.46661/revmetodoscuanteconempresa.4010Keywords:
decision-making, evaluation, fuzzy linguistic variables, international study, Likert scaleAbstract
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.
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References
Allen, E., & Seaman, C. (2007). Likert Scales and Data Analyses. Quality Progress, 40(7), 64-65.
Blaikie, N. (2003). Analyzing Quantitative Data. From Description to Explanation. Sage Publications, Thousand Oaks, 353. DOI: 10.4135/9781849208604.
Carrasco, R.A., Villar, P., Hornos, M.J., & Herrera-Viedma, E. (2012). A Linguistic Multi-Criteria Decision Making Model Applied to the Integration of Education Questionnaires. International Journal of Computational Intelligence Systems, 4(5), 946-959.
Casola, V., Preziosi, R., Rak, M., & Troiano, L.A. (2005). Reference Model for Security Level Evaluation: Policy and Fuzzy Techniques. Journal of Universal Computer Science, 11(1), 150-174. DOI: 10.3217/jucs-011-01-0150.
Clason, D.L., & Dormody, T.J. (1994). Analyzing data measured by individual likert-type items. Journal of Agricultural Education, 35(4), 31-35. DOI:10.5032/jae.1994.04031.
Creswell, J.W. (2008). Educational Research: Planning, Conducting and Evaluating Quantitative and Qualitative Research. New Jersey, United States: Pearson Education Inc.
Dawes, J. (2008). Do Data Characteristics Change According to the number of scale points used? An experiment using 5-point, 7-point and 10-point scales. International Journal of Market Research, 50(1), 61-77.
Edwards, A.L., & Kenney, K.C. (1946). A comparison of the Thurstone and Likert techniques of attitude scale construction. Journal of Applied Psychology, 30(1), 72-83. DOI: 10.1037/h0062418.
Hasson, D., & Arnetz, B.B. (2005). Validation and Findings Comparing VAS vs. Likert Scales for Psychosocial Measurements. International Electronic Journal of Health Education, 8, 178-192.
Hesketh, B., Prior, R., Gleitzman, M., & Hesketh, T. (1988). Practical Applications and Psychometric Evaluation of a Computerised Fuzzy Graphic Rating Scale. Advances in Psychology, 56, 425-454.
Holeček, P., & Talašová, J. (2010). FUZZME: A new software for multiple-criteria fuzzy evaluation. Acta Universitatis Matthiae Belii ser. Mathematics, 16, 35-51.
Joshi, A., Kale, S., Chandel, S., & Pal, D.K. (2015). Likert Scale: Explored and Explained. British Journal of Applied Science & Technology, 7(4), 396-403.
Likert, R. (1932). A Technique for the Measurement of Attitudes. Archives of Psychology, 140, 1-55.
Lima Jr., F.R, Carvalho, G.M.R., & Carpinetti, L.C.R. (2016). A methodology based on fuzzy inference and SCOR® model for supplier performance evaluation. Gest. Prod., São Carlos, 2016 23(3), 515-534. Available from http://www.scielo.br /scielo.php?script=sci_arttext&pid=S0104-530X2016000300515&lng=en&nrm=iso. Accessed on 11 Nov. 2018. DOI: 10.1590/0104-530x2625-15.
Lin, L., & Yeh, H. (2012). Linking Consumer Perception of Store Image Using FANP. iBusiness, 4(1), 18-28. DOI: 10.4236/ib.2012.41003.
Norman, G. (2010). Likert scales, levels of measurement and the “laws” of statistics. Advances in Health Science Education, 15(5), 625-632.
Prasad, B. (2016). Using Likert Type Data in Social Science Research. Confusion, Issues and Challenges. International Journal of Contemporary Applied Sciences, 3(2), 36-49.
Traylor, M. (1983). Ordinal and interval scaling. Journal of the Market Research Society, 25(4), 297-303.
Yan, H., Zeng, X., Bruniaux, P., Chen, Y., & Zhang, X. (2017). Development of a new knowledge-based fabric recommendation system by integrating the collaborative design process and multi-criteria decision support. Textil Research Journal, 88(23), 2682-2698. DOI: 10.1177/0040517517729383.
Willits, F.K., Theodori, G.L. & Luloff, A.E. (2016). Another Look at Likert Scales. Journal of Rural Social Sciences, 31(3), 126-139.
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