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Measuring the frequency occurrence of handwritten numeral characteristics—An expanded list
Authors:Thomas W Vastrick BS  Ellen Schuetzner BA  Kelsey Osborn BS
Institution:1. Apopka, FL, USA;2. Thomas W. Vastrick, 522 S Hunt Club Blvd, Suite 217, Apopka, FL 32703, USA.;3. Email: vastrick@yahoo.com;4. Chicago, IL, USA;5. Middlesex, NJ, USA
Abstract:In the third of a series of studies and reports, the authors expand on the frequency occurrence proportions of various handwritten features. The first study culminated in the publication of “Measuring the Frequency Occurrence of Handwriting and Handprinting Characteristics.” That study was followed by “Measuring the Frequency Occurrence of Handwritten Numeral Characteristics.” The premise of this current and future follow‐up studies is to expand on the initial lists of information incrementally by expanding the number of features and the number of writers. This study expands on the list of numeral features. A total of 34 numeral features was selected by the authors as candidates for this study and tested through an attribute agreement analysis. Based on the results of the testing, 17 new features have been added to the list of proportions. The original 1410 handwritten numeral specimen forms were utilized and pared to 1024 to obtain a proper population sampling for the United States. Interdependency testing was conducted on 783 pairs of inter‐character numerals. A coefficient of correlation between ?0.2 and +0.2 was found in 534 (68.20%) of these pairs. As of this report, there are now a total of 42 numerals with measured frequencies of occurrence. This material has already borne fruit as the combined frequency of occurrence studies were explained during an unsuccessful exclusion hearing in court with an explanation as to how these studies support the reliability of forensic document examination.
Keywords:95% confidence limits  attribute agreement analysis  coefficient of correlation  frequency occurrence  handwriting  numerals  product rule  proportions  questioned documents  sampling  statistics  writing complexity
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