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Ordinal scales and fuzzy set systems to measure agreement: An application to the evaluation of teaching activity

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  • Michelle Lalla
  • Gisella Facchinetti
  • Giovanni Mastroleo

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  • Michelle Lalla & Gisella Facchinetti & Giovanni Mastroleo, 2005. "Ordinal scales and fuzzy set systems to measure agreement: An application to the evaluation of teaching activity," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(5), pages 577-601, January.
    • Handle: RePEc:spr:qualqt:v:38:y:2005:i:5:p:577-601
    DOI: 10.1007/s11135-005-8103-6
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    References listed on IDEAS

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    1. Concepción Costas & Pedro Marañon & Juan Cabrera, 1994. "Application of diffuse measurement to the evaluation of psychological structures," Quality & Quantity: International Journal of Methodology, Springer, vol. 28(3), pages 305-313, August.
    2. Bo Edvardsson & Michael Linden, 1976. "A method for evaluation of metric properties of response scales," Quality & Quantity: International Journal of Methodology, Springer, vol. 10(3), pages 241-249, September.
    3. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, January.
    4. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
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    Cited by:

    1. Bonaccolto-Töpfer, Marina & Castagnetti, Carolina, 2021. "The COVID-19 pandemic: A threat to higher education?," Discussion Papers 117, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    2. Caterina Liberati & Riccarda Longaretti & Alessandra Michelangeli, 2019. "Explaining and measuring tolerant behavior," Working Paper series 19-04, Rimini Centre for Economic Analysis.
    3. Amalia Vanacore & Maria Sole Pellegrino, 2019. "How Reliable are Students’ Evaluations of Teaching (SETs)? A Study to Test Student’s Reproducibility and Repeatability," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 77-89, November.
    4. E. Nardo & R. Simone, 2019. "A model-based fuzzy analysis of questionnaires," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(2), pages 187-215, June.
    5. Donata Marasini & Piero Quatto & Enrico Ripamonti, 2016. "Intuitionistic fuzzy sets in questionnaire analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 767-790, March.
    6. Mónica Martínez-Gómez & Jose Sierra & José Jabaloyes & Manuel Zarzo, 2011. "A multivariate method for analyzing and improving the use of student evaluation of teaching questionnaires: a case study," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(6), pages 1415-1427, October.
    7. Tindara Addabbo & Maria Laura Di Tommaso & Gisella Facchinetti, 2004. "To what extent fuzzy set theory and structural equation modelling can measure functionings? An application to child well being," CHILD Working Papers wp30_04, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    8. Qing Li, 2016. "Indirect membership function assignment based on ordinal regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(3), pages 441-460, March.
    9. Carmen Lozano & Cesaire Chiatchoua, 2022. "Conditions Influencing Salary of the Automotive Industry in Mexico City—A Linguistic Fuzzy-Set Approach," Sustainability, MDPI, vol. 14(11), pages 1-22, May.
    10. Michele Lalla, 2017. "Fundamental characteristics and statistical analysis of ordinal variables: a review," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 435-458, January.
    11. Vladimir Pajković & Mirjana Grdinić-Rakonjac, 2021. "Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    12. Pierpaolo D’Urso & Livia Giovanni & Marta Disegna & Riccardo Massari & Vincenzina Vitale, 2021. "A Tourist Segmentation Based on Motivation, Satisfaction and Prior Knowledge with a Socio-Economic Profiling: A Clustering Approach with Mixed Information," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(1), pages 335-360, February.
    13. Silvana Bortolotti & Rafael Tezza & Dalton Andrade & Antonio Bornia & Afonso Sousa Júnior, 2013. "Relevance and advantages of using the item response theory," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2341-2360, June.
    14. Niccolò Cao & Antonio Calcagnì, 2022. "Jointly Modeling Rating Responses and Times with Fuzzy Numbers: An Application to Psychometric Data," Mathematics, MDPI, vol. 10(7), pages 1-11, March.

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