• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.3
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• pp.345-352
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• 1999

the purpose of this study was to consider the lower bodyshape factor of girls according to their age groups. The subject were 150 Korean Elementary School Girls and 150 Korean Junior High School Girls. The subjects were directly measured anthropometrically. In first group(Elementary School Girls) the result of factor analysis indicated that 7 factors were extracted through factor analysis and those factors comprise 83.1% of total variance and in second group (Junior High School Girls) 8 factors were extracted through factor analysis and those factors comprise 79.9% of total variance. Lower bodyshape factors were different to each groups. So these systematic information on typical bodyshape were provide to reduce the burden of stocks and increase clothing fitness.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.7
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• pp.1004-1014
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• 2000

The purpose of this study was to develop a well-fitting bodice basic pattern for high school irk. Two bodice patterns were first made based on the most recent existing drafting methods and sensory evaluation was done on the patterns by the present researchers Two high school girls possessing standard physical condition tried and evaluated the functionality of the garments made by the two bodice patterns. Based on the results of the evaluation, a new bodice basic pattern was developed. The new bodice basic pattern was drafted by long measurement method. The dimensions of new bodice basic pattern were as follows. Bust circumference=B/2+4cm, Arms hole depth=C.B/2+1.5cm, Back width=B/6+4cm, Front width=B/6+3cm, Back neck width=B/12+0.5cm, Back neck depth=Back neck width/3cm, Front neck width=B/12cm, Front neck depth=B/12+0.5cm. The sensory and functional evaluations were also conducted for the new bodice basic pattern and the two patterns drafted by the existing methods. The new bodice basic pattern showed better fit both visually and functionally than the existing patterns. SPSS package including means, standard deviation and one-sample T-test were used for data analysis.