NCJ Number
250165
Date Published
May 2016
Length
23 pages
Annotation
This test of the hypothesis that each individual's handwriting is unique from all others analyzed and compared the handwriting of approximately 1,800 children over time, all of whom were in the same age groups and had received the same type of handwriting instruction.
Abstract
The study aimed to determine at what ages individuals' handwriting characteristics begin to develop, at what rate individual handwriting characteristics develop, the most common (less unique) individual handwriting characteristics that develop, and the least common (more unique) handwriting characteristics that develop. This analysis of both hand-printed and cursive handwriting samples of children progressing from grades two to four determined the degree of handwriting individuality as children develop. The analyses indicated that as children moved to higher grades, they gradually formed their own writing styles. This provides strong justification for the principle that handwriting becomes more individualistic with age, even when children are taught the same writing style. This study marks the beginning of the establishment of a true statistical model that may be used to prove scientifically why forensic handwriting comparisons are possible. In addition, it may also be possible in the future to continue data mining by examining new words located within the previously collected paragraph. By continuing to collect these measurements and statistics, data obtained can continue to statistically prove how individual handwriting characteristics develop and how the combinations of individual handwriting characteristics develop into individual handwriting styles. These research findings are important for handwriting examiners and all courts and legal areas that rely on forensic handwriting examinations. 9 figures, 5 tables, and 12 references
Date Published: May 1, 2016
Downloads
Similar Publications
- Recovery and Detection of Ignitable Liquid Residues from the Substrates by Solid Phase Microextraction – Direct Analysis in Real Time Mass Spectrometry
- Technical note: Measuring Bicondylar Length in Computed Tomography Data
- Quantitative Analysis of Δ9-tetrahydrocannabinol (Δ9-THC) in Cannabis Plants Using the Fast Blue BB (FBBB) and 4-aminophenol (4-AP) Colorimetric Tests