DESIGNING A RELIABLE SCALE FOR MATHEMATICAL ANXIETY ASSESSMENT

Abstract

Mathematical anxiety is a widespread phenomenon that can significantly impact an individual's performance and attitudes toward mathematics. Despite its prevalence, the measurement of mathematical anxiety lacks standardization, often relying on fragmented and inconsistent tools. This study aims to design a reliable and comprehensive scale for assessing mathematical anxiety, addressing the gaps in existing measurement methods. Through a multi-phase approach, the study involves the development, validation, and refinement of a new scale that captures the multifaceted nature of mathematical anxiety. Initially, an extensive literature review and expert consultations were conducted to identify key components of mathematical anxiety, such as cognitive, emotional, and physiological responses. Based on these findings, an initial pool of items was generated and tested through exploratory factor analysis with a diverse sample of participants. The scale was further refined using confirmatory factor analysis to ensure construct validity and reliability. The final scale demonstrates strong psychometric properties, including high internal consistency and test-retest reliability, making it a robust tool for both academic research and practical application. This newly developed scale provides educators, psychologists, and researchers with a valuable instrument for accurately measuring mathematical anxiety, enabling better identification and intervention strategies to support individuals affected by this condition.