Unlocking Accurate Data Categorization: The Range Gem+ Approach To Meaningful Intervals For Global Development Perspectives
Year: 2025
Type: article
Abstract: The old range-based method, which identifies class intervals based on highest and lowest values, struggles to maintain equal class widths, hindering effective data organization and interpretation in fields like social sciences.This study aims to enhance statistical practices in organizing and analyzing data by introducing a novel method to address these shortcomings.To overcome the limitations of the traditional range-based method, this study introduces the Range Gem+ (Plus) Method. By incorporating a new factor, "Gem+," this innovative approach enhances the range-based method, ensuring equal class widths and non-overlapping intervals. The method involves adding the Gem+ factor to the calculation of class intervals. This makes a framework for organizing data that is fair and correct. We evaluated the effectiveness of this method through detailed investigations and practical applications in the context of physical education research.The application of the Range Gem+ Method demonstrated significant improvements in data organization and interpretation. By ensuring equal class widths and eliminating overlapping intervals, the method provided enhanced clarity and reliability in data analysis. The results highlighted the method’s ability to facilitate comparative analysis and support decision-making, particularly in studies involving diverse data sets in physical education research.The Range Gem+ Method offers a novel solution to the limitations of the traditional range-based method. By ensuring equal class widths and non-overlapping intervals, this approach improves data interpretation, enhances comparative analysis, and supports effective decision-making. This method holds promise for broader applications in fields like social sciences, education, and organizational studies, contributing to improved statistical practices and data-driven insights.
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4407546906