Analysis of the reliability of the fuzzy scale for assessing the students’ learning styles in Mathematics

Abstract

The reliability of the fuzzy scale for assessing the responses of a person in an opinion questionnaire (which is usually treated as a Likert-type questionnaire) is analyzed. Thus, a comparison between a classical Likert scale-based questionnaire and its fuzzy rating scale-based version in terms of their reliability is established. For this purpose, some questions of the Grasha-Riechmann student learning style scales have been answered by a group of students using both scales. Considering that the Likert version of this questionnaire is reliable, the aim is to check the reliability of its fuzzy version by comparing the corresponding Cronbach's alpha coefficients.

A psychometric modeling approach to fuzzy rating data

“…There have been several attempts to compare fuzzy rating and conversion scales with respect to more traditional rating methods. To this end, comparisons have been made based on hypothesis testing about means [64,65], descriptive summary measures [25], ratings accordance criterion in empirical and simulated context [66,67], scale reliability [68,69]. Other research used validated questionnaires to study the differences between traditional and fuzzy rating.…”

Validación colombiana de la Escala de Funcionamiento Familiar en Situaciones de Crisis (F-COPES)

“…Posteriormente, se desarrollaron análisis de consistencia interna y confiabilidad de la escala, por medio de índices Alfa de Cronbach, Omega de Mc Donald e índice de mayor límite inferior (GLB), tanto para la escala general como para cada factor obtenido, esperando valores superiores a .70 (Barbero, 2010;Ramos et al, 2015), adicionalmente, por cada factor se obtuvieron los mismos indicadores y se simuló la eliminación de cada reactivo esperando que los indicadores disminuyeran como evidencia de la consistencia de la escala y el aporte de cada ítem, y se analizaron las correlaciones ítem-prueba, esperando valores de correlación superiores a .30 (De los Santos-Roig & Pérez-Meléndez, 2014). Como evidencias de validez convergente y de relación prueba-criterio, se llevaron a cabo correlaciones con la escala de ansiedad de Zung y análisis de comparación por sexo respectivamente (esto se lleva a cabo dado que la revisión conceptual mostraba, por un lado, relaciones entre estrategias de afrontamiento y ansiedad, y por otro mostraba diferencias en el afrontamiento familiar entre hombres y mujeres), y finalmente se plantean baremaciones en quintiles, para la calificación de la escala.…”

Developing a Labeled Affective Magnitude scale and Fuzzy Linguistic scale for tactile feeling

“…Many researchers have developed scales based on FSs theory and these scales have been implemented in various fields, for example, the service industry (Chou, Liu, Huang, Yih, & Han, 2011; Hu, Lee, & Yen, 2010), medical science (Li, 2013; Navarro, Wagner, Aickelin, Green, & Ashford, 2016), investment decisions (Massanet, Riera, Torrens, & Herrera‐Viedma, 2014), education system (Gil, Lubiano, de la Rosa de Sáa, & Sinova, 2015; Guajardo, Lopez, & Ruiz, 2015; Lubiano, de Saa, Montenegro, Sinova, & Gil, 2016; Lubiano, Salas, De Sáa, Montenegro, & Gil, 2017), and public administration (Marasini, Quatto, & Ripamonti, 2016). FSs theory also has been used effectively in a great variety of fields for modeling humans' feeling of words for product design (De La Rosa De Sáa et al, 2015; Shimizu & Jindo, 1995).…”