• Journal of the Korean Society of Fashion and Beauty
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• v.2 no.2 s.2
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• pp.48-58
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• 2004

The purpose of this study was to identify the variables influencing consumers' deal proneness. The data were collected from 385 college female students living in Daegu, Korea via self-administered questionnaires and were analyzed by frequency, factor analysis, Cronbach's ${\alpha},\;X^2-test$, t-test and stepwise regression analysis. The results of the study were as follows: 1) There was found significant differences of demographic variables between domestic and imported cosmetics' consumers. 2) Deal proneness which were Consumers' responses to sales promotion were classified into six factors which were mileage proneness, display proneness, gifts proneness, sample/coupon proneness, sweepstakes proneness, make-up show proneness. 3) Domestic cosmetics' consumers who had higher gift proneness, sample/coupon proneness, mileage proneness had significantly positive influence on the buying experience of promoted cosmetics. Imported cosmetics' consumers who had higher sample/coupon proneness and lower make-up show proneness had significantly positive influence on the buying experience of promoted cosmetics.

• Journal of the Korea Fashion and Costume Design Association
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• v.2 no.1
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• pp.51-74
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• 2000

The purposes of the study were to investigate the differences of female students' clothing selection criteria and their life styles according to their demographic data and to examine the differences of their clothing selection criteria according to their life styles. The data were collected from 400 female college students in Chungju city through self-administerd questionnaires, and were analyzed by frequencies, Cronbach' s α, F­test, Factor Analysis, Cluster Analysis, one way ANOVA and Duncan Test. The results of the study were as follows: There were significant differences between variables of clothing selection criteria according to student's major, father's education level, family's monthly income, student's monthly expenditure on clothing and her companion when purchasing her clothing. Life styles were classified five types. The dimensions of life style were significantly different according to student's major and monthly expenditure on clothing. There were significantly different between life style dimensions and clothing selection criteria.

• International Journal of Human Ecology
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• v.2 no.1
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• pp.17-38
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• 2001

The purpose of this study is to take a new look at factors affecting the spending of retired elderly households by identifying the effects of different types of wealth components, along with socio-demographic factors, on current consumption. A tobit linear regression model was utilized to estimate parameters in the consumption functions. Data was drawn from the 1990 Consumer Expenditure Survey, Interview Survey in the United States.Total consumption and various consumption categories were the most responsive to changes in annual income flow and the least responsive to changes in property assets. The four wealth components differed in their influence on consumption categories among retired elderly households. In addition, age, residential area, household type, and education were found to be significant factors affecting total consumption and consumption categories of the retired elderly.

• Journal of the Korean Society of Costume
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• v.53 no.7
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• pp.83-94
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• 2003

The purpose of this study was to investigate the relationship between the clothing consumption value and consumer satisfaction which were based on the purchase places such as department store and market, and to examine the influence of the clothing consumption value and demographic variables on the consumer satisfaction. The subjects were 364 females ranging in ages from twenties to fifties who dwelt in Seoul and in the suburbs of Seoul. Four factors of clothing consumption value derived by factor analysis: 'functional value', 'emotional value', 'epistemic value', and 'conditional value'. The clothing consumption value and satisfaction of shopping system, purchase system, and consumption system of buyers at department store showed higher than that of buyers at market. Emotional value was most important in predicting the consumer satisfaction of buyers at department store, followed by epistemic value (-) and conditional value. Conditional value was most important in predicting the satisfaction of buyers at market, followed by emotional value and the academic background of buyers. Generally the higher the emotional and conditional value, the higher the consumer satisfaction. and the consumer satisfaction was influenced by epistemic value negatively.

• Fashion & Textile Research Journal
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• v.6 no.4
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• pp.461-466
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• 2004

The purpose of this study is to examine the different purchasing behaviors of natural dyes according to the personal value orientation of the consumers in question. In addition, this study sets out the purchasing behaviors according to demographic variables. To collect data, this study surveyed 150 housewives living in Daegu in November 2003 using convenient sampling. SPSS 10.0 was used for the statistical analysis of the sampled data including basic statistics, factor analysis and multiple regression analysis. The results derived from this study are as follows : 1) The group that exhibited a more self-controlled value orientation prefers to purchase natural dyes. 2) Consumers with relatively high education backgrounds and in an older age group have preference in purchasing natural dyes.

• Korean Journal of Rural Living Science
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• v.10 no.2
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• pp.15-27
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• 1999

The purposes of this study were : 1) to investigate the differences of female students' clothing behaviors and their life styles according to their demographic data, 2) to examine the differences of their clothing behaviors according to their life styles. The data were collected from 440 female college students in Chungju city through self-administered questionnaires, and were analyzed by frequencies, Cronbach's alpha, t-test, factor analysis, cluster analysis, one way ANOVA and Sheffe test. The results of the study were as follows : Four variables of clothing behavior were significantly different according to father's occupation, father's monthly income, student's major, student's monthly expenditure on clothing and her companion when purchasing her clothing. Life styles were classified five types. The dimensions of life styles were significantly different according to student's major and monthly expenditure on clothing. There were highly significant differences between life style dimensions and clothing behavior variables.

• Journal of Families and Better Life
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• v.15 no.3
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• pp.59-72
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• 1997

The purpose of this study is to investigate housewife's housework time and the expenditure for time-saving goods and service at the lifecycle stage and to identify the relationship between demographic characteristics and these two variables. The data is collected by using questionnare distributed to 412 housewives living in Seoul and around new two cities. The data is analyzed using Mean Frequency Percentile One-way ANOVA Pearson's Correlation and Regression,l The result of this research is as follows; 1. Housewife's housework time has significant relationship with the lifecycle stages (p<0.01) And the most influencial factor to it is housewife's employment and the next are domestic helper monthly household income and housewofe's age(p<0.01) 2. The expenditure for time-saving has most significiantly related to the lifecycle stages. And the other influencial factors to it are houswife's employment monthly household income and housewife's age(p<0.001) The explanatory power of al variables is 36%.

• Fashion & Textile Research Journal
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• v.3 no.2
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• pp.148-155
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• 2001

The purpose of this study was to segment the clothing customers of new traditional market according to shopping orientation and to clarify the different clothing behaviors among segmented groups. This study may be useful for new traditional marketer to make proper marketing strategies. The subjects for the final analysis were 400 customers who visited Namdaemoon and Dongdaemoon new traditional markets. The statistics used for analysis were factor analysis, cluster analysis, Cronbach-${\alpha}$, one-way ANOVA, LSD multiple range test and chi-square by the SPSS program. The results of this study were as follows: 1. The customers of new traditional market were segmented to 5 groups (Diffidence Group, Confidence/Information Group, Active Group, Shop/Brand Loyalty Group and Planned Purchasing Group); 2. The five segmented groups were significantly different in clothing evaluation standards, shop evaluation standards, satisfaction and demographic variables such as sex, age, education and monthly spending money.

• Fashion & Textile Research Journal
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• v.6 no.3
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• pp.321-328
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• 2004

The purpose of this study were to investigate the differences of shopping value, promotional affects and product characteristics between buyers and non-buyers, and to examine the most influenced variable on purchasing behaviors of fashion products in CATV home-shopping. We collected data from 595 consumers related to CATV home-shopping in Busan. Data were analyzed by factor analysis, t-test, ${\chi}^2$-test and discriminant analysis. Results showed that there are significant differences between buyers and non-buyers of shopping value demographic characteristics, promotional affects and product characteristics. Especially, shopping value perceived by consumers(e.g., practical value and hedonic value) and product characteristics(e.g., response of others) discriminated whether consumers purchased the fashion products of CATV home-shopping or not. We discussed the implications of results to encourage the purchasing behavior of fashion products in CATV home-shopping.

• Journal of the Korean Society of Costume
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• v.61 no.6
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• pp.101-112
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• 2011

The purpose of this study was to investigate the relationships among clothing image, make-up image, and hair image. The Data were collected from 306 women living in Gyeongnam province in June, 2009. Statistical analysis used in this study were frequency, F-test, t-test, Duncan test, factor analysis, Cronbach's ${\alpha}$, correlation coefficient, and multiple regression. The results of this study were as follows.: Three factors of clothing image were titled as elegance, youth, and visibility. Three factors of make-up image were titled as modern, romanticism, and mediocrity. Four factors of hair image were titled as attraction, individuality, gentleness, and cuteness. The clothing image, make-up image, and hair image according to the demographic characteristic of women showed significant difference. The clothing image resulted in correlation with the make-up image and hair image. The clothing image had a influence on the make-up image and hair image.