Restaurant satisfaction level assessment by Item Response Theory
DOI:
https://doi.org/10.5902/2179460X39781Keywords:
Customer Satisfaction, Statistical Methods and Models, Applied StatisticsAbstract
The objective of this work was to create a scale to assess the level of customer satisfaction in a restaurant, using the Two Parameter Logistic Model (2PL) of the Item Response Theory (IRT). For this, a questionnaire was applied to 640 customers, including 28 restaurant attributes related to the indoor and outdoor environments, with food and service. The results shown in most respondents are satisfied with the specified effects, with the most recommended items being payment options, a location in the restaurant and its size and structure. Also note that all items had a good fit with the 2PL, so there is no need to exclude them. Consequently, it was possible to build an interpretable scale with four levels for customer satisfaction. In addition, it was possible to evaluate the questionnaire and identify which latent screening interval is most appropriate. The application of permitted adjustments allows to locate the items on the created scale, as well as to identify those that deserve greater attention in the organizational planning of a restaurant.
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