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Direct linkMuhammad Aslam – Measurement: Interdisciplinary Research and Perspectives, 2025
The existing algorithm employing the log-normal distribution lacks applicability in generating imprecise data. This paper addresses this limitation by first introducing the log-normal distribution as a means to handle imprecise data. Subsequently, we leverage the neutrosophic log-normal distribution to devise an algorithm specifically tailored for…
Descriptors: Statistical Distributions, Algorithms, Sampling
Juan F. Muñoz; Pablo J. Moya-Fernández; Encarnación Álvarez-Verdejo – Sociological Methods & Research, 2025
The Gini index is probably the most commonly used indicator to measure inequality. For continuous distributions, the Gini index can be computed using several equivalent formulations. However, this is not the case with discrete distributions, where controversy remains regarding the expression to be used to estimate the Gini index. We attempt to…
Descriptors: Bias, Educational Indicators, Equal Education, Monte Carlo Methods
Leslie Rutkowski; David Rutkowski – Journal of Creative Behavior, 2025
The Programme for International Student Assessment (PISA) introduced creative thinking as an innovative domain in 2022. This paper examines the unique methodological issues in international assessments and the implications of measuring creative thinking within PISA's framework, including stratified sampling, rotated form designs, and a distinct…
Descriptors: Creativity, Creative Thinking, Measurement, Sampling
