• Journal of Fashion Business
• /
• v.11 no.4
• /
• pp.29-41
• /
• 2007

This study is to research how women aging from 20 through 40 Apperance -Mnagement Bhavior and care of their outer looks from a beauty treatment perspective. This research should help satisfy the wants of women who are the main clients of the beauty products and help the beauty industry to produce new products and also to help out on their marketing strategy. In order to search the general characteristics of our target women, Frequency Analysis was used, to find out the sub-factor of interest in beauty Factor Analysis and Reliability Analysis was used. In order to divide the group according to Degree of Apperance Concern 'sub-factor, cluster analysis, analysis of variance, Scheffe'-test, $X^2-test$ was used, and to find out the difference on how they care of beauty analysis of variance was used, and further more to summarize the result of analysis of variance Scheffe'-test was used. As a result, in all different ways of beauty caring, weight resisting, skin care and plastic surgery summed up similarly among the self-care group, hair care ended up with similar results among all three groups: self-caring group, no interest in beauty at all group, and the too conscious of other eyes group, and results on the interest rate of clothing ended up similarly among the other-eye conscious group, beauty care interest group, and the self-care group.

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