RESUMEN
Objective To investigate the differences of handwriting characteristics among different genders,educational backgrounds and ages. Methods The ESP1020 was used to collect 1 474 handwriting samples throughout the country,and the collected handwriting samples were quantized by the self-developed" HCAS" software. The system could automatically extract 36 objective handwriting features,such as the aver-age character area,at the same time,4 subjective handwriting features such as the overall beauty are quanti-fied by the " overall impression evaluation method" . Finally,forty handwriting characteristics data were intro-duced into SPSS23. 0 for statistical analysis. Results There were statistically significant differences in 11 handwriting characteristics between male and female,such as average Chinese characters height ((6. 960± 1. 843) mm,(6. 757±1. 762) mm,t=2. 16,P<0. 05). There were statistically significant differences in 21 handwriting characteristics between the groups with different educational backgrounds,including the average Chinese characters area in primary school and junior high school((52. 175 6± 33. 989 5) mm2 ),in senior high school and technical secondary school(( 64. 320 7 ± 63. 123 5) mm2 ) and in junior college or above ((63. 815 3±58. 147 4)mm2)(t=5. 42,P<0. 01). There were statistically significant differences in 28 hand-writing characteristics in different age groups,such as writing time,pen pressure and Chinese characters area (P<0. 05,P<0. 01). Conclusions Demographic variables such as gender,education background and age have different effects on different aspects of handwriting characteristics.
RESUMEN
Purpose of the Study: The purpose was to analyze and classify behavioral pattern of complete denture patients and to identify difficult patients. Materials and Methods: Fifty complete denture patients were randomly selected for the study. Their behavioral pattern was categorized using House classification as philosophic, indifferent, exacting and hysterical. The above behavioral classification was based on two methods namely interview and questionnaire and graphoanalysis. Accuracy of the above-mentioned two methods in predicting behavior of complete denture patients was statistically evaluated. Results: On analyzing the data it was found that a significant correlation exists between handwriting pattern and behavior of an individual. Further it was noticed that chances of identifying difficult patients such as hysterical was more effective by employing graphoanalysis than questionnaire and interview method. Conclusion: Graphoanalysis in addition with properly structured interview and questionnaire is useful in evaluation of behavior of an individual especially for recognizing difficult patients.