• The Research Journal of the Costume Culture
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• v.9 no.4
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• pp.639-650
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• 2001

The purpose of this study is to investigate whether characteristics of the perceiver make differences in impressions of clothing types in the situation of first impression formation. Questionnaire was used as major method of gathering data. A poll of 650 men h women between the ages of 20∼39 living in Daegu was taken by the author for this study. Factor analysis, cluster analysis, frequency, ANOVA-test and t-test were implemented with the SPSS-package. The characteristics of clothing types used in our experiments include: sexy, masculine, feminine, dramatic, elegant-classic and casual. The results are as follows; 1 . Men favored sexy clothes more than women, whereas women tended to like masculine clothes more than men. 2. Positive, open-minded men were accepting of masculine, feminine, dramatic and elegant-classic clothes, but gave unfavorable responses toward casual clothes. In contrast, positive open-minded women continued to show unfavorable impressions of sexy clothes. Attitude towards clothing affected the outlook towards clothing by the perceiver 3. Clothing-dependent/vain men favored sexy, dramatic and elegant-classic clothes, while clothing-indifferent men tended toward casual clothes. Furthermore, clothing-dependent/vain women were interested in the feminine style, but women in general continued to show negative responses toward sexy and dramatic clothes.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.151-158
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• 2020

The purpose of this study was to analyze the characteristics of each type after categorizing the clothing lifestyle of 394 male office workers in their 30s and 50s. The data were analyzed with PASW 18.0 using frequency analysis, k-means cluster analysis, one-way ANOVA and crosstabs analysis. According to findings, first of all, types of clothing lifestyle are divided into 4 groups: a type of fashion leader(22.3%), a type of price sensitive(12.2%), a type of fashion indifference(27.9%), a type of normcore fashion(37.6%). Secondly, the types of clothing lifestyle showed statistically significant difference age, marital status, job and monthly average household income of socio-economic variables. Thirdly, the types of clothing lifestyle showed statistically significant difference monthly average appearance care cost, suit count, monthly average clothing purchase cost, average purchase cost of one suit.