Graphometric variables of one's signature: I. Basic measures.

Area of Science:

• Forensic Science
• Psychology
• Graphology

Background:

• Understanding the statistical properties of handwriting is crucial for forensic analysis and psychological assessment.
• Previous research has explored graphometric variables, but comprehensive analysis across diverse patient groups is limited.

Purpose of the Study:

• To investigate the statistical properties and interrelationships of graphometric variables in the signatures of outpatients.
• To determine the influence of sex and age on handwriting style and size.
• To identify patterns in graphometric variables using factor analysis.

Main Methods:

• Collected signatures from 219 outpatients (100 men, 119 women) referred for psychotherapy or neuropsychological testing.
• Classified handwriting into Common, Print, and Block letters.
• Quantified signature breadth, length, area, and slant of minuscules and majuscules.
• Applied factor analysis to examine interrelationships among graphometric variables.

Main Results:

• Sex and age were found to significantly influence handwriting style and letter size.
• Distinct differences in writing styles were observed across most graphometric variables.
• Factor analysis identified meaningful patterns and interrelationships among the measured graphometric variables.

Conclusions:

• Handwriting analysis, specifically graphometric variables, can reveal demographic influences like sex and age.
• The study provides a foundation for understanding complex handwriting patterns in clinical populations.
• Factor analysis is a valuable tool for uncovering latent structures within graphometric data.