Abstract
To check the accuracy and consistency of the data collected through the survey, two concepts are used: measurement error and reliability ratio. The existing methods, when interval data is recorded under uncertainty, to calculate the measurement error and reliability ratio using classical statistics and the approach based on mid-values of the intervals, cannot be applied appropriately. To overcome these issues in the existing method, this paper presents a novel method to handle interval-valued data while calculating measurement error, descriptive statistics, and the reliability ratio. The proposed method for analyzing interval data considers the degree of uncertainty when evaluating interval-valued responses, which is ignored by the existing methods. A simulated dataset from a questionnaire about the knowledge and use of artificial intelligence tools is used to calculate the measurement error and the reliability ratio. The results show that the outcomes from the proposed method and the existing methods are quite different, and the proposed method is more flexible, informative, and suitable for applying to survey data analysis when recorded under uncertainty.
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