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A Statistical Approach to Signature-Based Behavioral and Psychological Profiling of Undergraduate Students

Khinal Parmar, Sanket Gudekar

Abstract



This study uses statistical methodologies to investigate the relationship between signature features and behavioral and psychological traits among undergraduate students. The research analyzes signature attributes such as size, pressure, slant, and zone utilization to determine their association with specific personality characteristics like confidence, introversion, emotional intensity, and analytical thinking. Through statistical modeling and hypothesis testing, significant correlations are identified, underscoring the potential of signature analysis in behavioral profiling. This paper contributes to the field by utilizing a data-driven approach to validate graphological insights through quantitative methods, emphasizing
the integration of statistical analysis with personality profiling.

Keywords


graphology, handwriting analysis, signature analysis, psychological profiles, personality traits, behaviour.

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