• Journal of the Korean Home Economics Association
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• v.34 no.4
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• pp.295-308
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• 1996

The purpose of this study was to explore how family types clustered based on the intra system dynamics explained housewive's managerial behavior. The data were collected by means of questionnaire distributed to a stratified sample of 544 housewives in Seoul who lived with husband and children. The questionnaires included FACES Ⅱ and Ⅲ, Communication Scale, Managerial behavior Scale and Life Satisfaction Scale. Frequency, percentile, mean, correlation, factor analysis, cluster analysis, One-way ANOVA with Scheffe test, and multiple regression were used to analyze the data. This study had resulted in three major findings. The first was that families were clustered by four types, named structed-separated family, flexible-connected family, change oriented emashed, and rigid-disengaed family. The second finding was that a difference in managerial behavior was found among four types of family. Housewives whose family were more connected each other and adapted more easily to changing situations showed better managerial behavior. The last one was that the managerial behavior of housewives was better explained by family types than socio-demographic variables. The recommendations for future research and the better ways to lead effective managerial behavior were suggested.

• Journal of the Korean Home Economics Association
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• v.41 no.6
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• pp.13-28
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• 2003

The purposes of this study were to identify money altitudes of college students and to examine both socio-economic characteristics and clothing purchase behaviors by different money attitudes. For this study, guestionnaires completed by 2-year and 4-year college students (n=426) were analyzed by factor analysis, cluster analysis, X²- test, and ANOVA. The results of this study were as follows: First, the money attitudes were composed of five factors and they were categorized by three clusters: cluster of considering the money as a tool for future safety, a way of approval and filling up emotions, and inclination toward stinginess and distrust. Second, the factors which were associated with money attitudes were academic level, education level of parents, household income, students' own income, and the economic level of their households. Third, in each type of attitudes, the clothing purchase behavior had four steps of decision making: problem recognition, information search, evaluation of alternatives, and the purchase. There were significant differences in the clothing purchase behavior among the money attitude styles.

• The Journal of Natural Sciences
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• v.14 no.2
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• pp.115-131
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• 2004

The purpose of this study was to investigate the differences of sports involvement and consumer attitude on fashion advertisement using sports star models(CAATTM) according to demographics and to investigate the effect of sports involvement to CAATTM. The subjects selected for final analysis were 398 adults living in Daejeon. The statistics used for analysis included factor analysis, ANOVA, multiple range test, regression, $Cronbach'\alpha$, and frequency. The results were as follow: 1. Sports Involvement was divided Cognitive Sports Involvement(CSI) and Emotional Sports Involvement(ESI). The CSI and ESI were different according to sex. And CSI was different according to age, education level and marriage status. 2. CATTM was divided into three factors: Emotional Attitude(EA), Cogitive Attitude(CA), and Ethical Attitude(ETA). CA was different according to sex, age, income, and marriage status. 3. The sports involvement affected CAATTM. People who were high in CSI and ESI showed high attitude in EA and CA.

• Journal of the Korean Home Economics Association
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• v.49 no.7
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• pp.39-49
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• 2011

The purpose of this study was to examine the relationship between the attitude towards well-being and life satisfaction, to investigate the effect of healthy lifestyle and attitude towards well-being on life satisfaction, and to explore the differences in well-being lifestyle factors, well-being attitude, and life satisfaction against demographic variables. This study gave a questionnaire survey to adults between the ages of 10 and 60 who lived in the Seoul, Daegu and Kyungbuk regions of South Korea. Data collected from the 285 respondents was analyzed using descriptive statistics, correlation, t-tests, ANOVA, factor analyses, and regression analysis. The lifestyle for well-being was categorized into four areas, social welfare oriented activity, use of environmentally friendly products, self-esteem enhancement, and sports activity. Three of these factors were significantly correlated with the attitude towards wellbeing. The results of the regression analysis suggested that healthy lifestyle and attitude towards well-being affected people's life satisfaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.2
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• pp.230-241
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• 1999

The purpose of this study was to investigate the purchasing behavior of adolescent consumer groups divided by their brand orientation. Questionnaires were administered to 507 middle and high school students who resided in Kwang-ju between September 22-27 1997. Data were analyzed by factor analysis cluster analysis ANOVA Duncan-test frequency and {{{{ chi ^2 }}-test. The results were as follows : 1. Adolescent consumers were classified by three groups ; brand attached groups : brand attached group (Group I) brand interest group (Group II) and brand indifference group (Group III) according to their brand orientation. 2. There were significant differences among groups in using information sources : Group II used more sources of information than the other two groups. 3. As evaluating attributes of product Group I considered brand prestige most important Group II considered design fashionablity imfortant orderly and Group III considered pricemost important. 4. Group I patronised expensive brand chain stores Group II patronseied department stores and Group III prefered independently owned cheaper priced retailers. 5. The apparel purchasing price range was higher for Group I and became lower for Group II Group III.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.283-290
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• 2020

Porous asphalt pavement is used widely in advanced countries to reduce traffic accidents and noise. On the other hand, it is not applied widely in Korea due to concerns about its durability. This study aims to find a statistical method to improve the durability of porous asphalt pavement. A Cantabro test was selected to test the durability. The Cantabro test was performed on an asphalt mixture made of a binder and aggregate. This test was repeated three times for each of the four groups to obtain the Cantabro loss rate. The average values of each of the four groups satisfied all the reference values. In addition, through an analysis of variance (ANOVA), it was possible to quantitatively classify test groups with differences in durability, thereby finding problems and improving the durability. Furthermore, the Pay Factor method can lead to voluntary improvements in quality, and the Pay factor can be calculated through statistical analysis of limited data. Through the Pay factor, it is possible to induce definite quality improvement of the contractor and continuously improve the durability of the porous asphalt mixture by evaluating the adequacy of the quality standard.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.1
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• pp.21-35
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• 2011

Thanks to the popularization of golf, the population of young golfers including female players has been continuously increasing and the market specialization of golf-wear has been gradually intensifying with a growing number of new import brands in the market. This study is aimed to provide a direction to strengthen and invigorate the competitiveness of domestic golf wear brands through research on the benefits pursued by, the purchase attitudes towards local and overseas brands and the purchasing behaviors of female customers who have emerged as the newest customer group in the golf-wear market. The subjects of the research were 409 female golfers and the statistical analyses used for the study were factor analysis, cluster analysis, ANOVA, Scheffe test, and chi-square test. The results showed that there were six factors sought for golf-wear benefits: figure compensation, brand orientation, comfort, youth/fashion, maturity/conformity, and individuality. Cluster analysis showed that there were three groups of golf-wear benefits sought. Overall, the three groups were different in regard to golf involvement and golf-wear preferences. Based upon the results mentioned above, this study summarizes the key features of each group and can provide applicable suggestions for conducting strategic marketing activities.

• Korean Journal of Human Ecology
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• v.22 no.4
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• pp.677-691
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• 2013

The purpose of this study was to examine the influence of make-up attitude and body-related value on clothing behavior. The subjects were 315 female college students in Gyeongsang provinces. The obtained data were analyzed by reliability analysis, factor analysis, cluster analysis, one-way ANOVA, Duncan's multiple range test, correlation analysis, multiple regression analysis and t-test. The major results of this study were as follows: First, four factors of make-up attitude were identified: pursuit of confidence, sociality, self-satisfaction, and positive image. Second, the subjects were categorized into three different types of groups according to make-up attitude and body-related value, respectively: high involvement type, low involvement type, and middle involvement type. Third, there was significant difference among three groups which were segmented by each make-up attitude and body-related value on clothing behaviors (sexual attractiveness, showing off, body-enhancement). Fourth, a significant positive correlation was found among four factors of make-up attitude and body operatability with clothing behaviors. Fifth, the important variables that affected the clothing behaviors were pursuit of confidence, self-satisfaction, and positive image of make-up attitude. Sixth, body-inclination significantly influenced sexual attractiveness of clothing behavior, whereas body-related value, unlike make-up attitude, only had marginal influence.

• Human Ecology Research
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• v.51 no.5
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• pp.483-495
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• 2013

This study aimed to identify the dimensions of benefits and costs that consumers perceive in utilizing locationbased applications (LBAs) on smartphones, and to distinguish consumer groups according to their perceptions of those benefits and costs. A web-based consumer survey was conducted-among consumers who had experience using LBAs. Four hundred participants were 20's to 40's, with 200 women and 200 men. Descriptive statistics, frequency analysis, t -tests, one-way analysis of variance, and cluster analysis were used for data analysis. The findings of this study are as follows: first, LBAs accounted for about 20% of the smartphone apps used by consumers. Second, factor analysis identified the underlying dimensions of the benefits and costs of smartphone LBAs. The underlying dimensions of benefits perceived by consumers were information/economic/convenience, entertainment and personalization. Privacy concerns, lack of trust and lack of behavioral control were the underlying dimensions of the perceived costs of LBAs. Third, ANOVA showed that the perceived benefits and costs of smartphone LBA services differed according to the characteristics of the consumer. Cluster analysis identified three distinctive consumer groups according to the levels of perceive costs and benefits of smartphone LBAs. The three groups were labeled the 'benefit-cost balanced group,' 'cost centered group,' and 'benefit centered group.'

• Fashion & Textile Research Journal
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• v.15 no.1
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• pp.46-56
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• 2013

This study categorizes online fashion shopping malls according to consumer store patronage behavior as well as classifies consumer groups by online shopping mall patronage to understand the unique characteristics in each phases of purchase. A quantitative survey was conducted using 487 questionnaires from women in their 20s and 30s. The data were analyzed using frequency analysis, cross-tabulations, factor analysis, T-test, ANOVA, cluster analysis, and ${\chi}^2$-test. The findings of this study are as follows. First, online shopping malls were classified into three types of 'integrated mall', 'open market' and 'specialized fashion mall'. Second, based on one of the three types of categorization consumer groups patronizing each type turned out as follows: integrated mall patrons (141, 28.95%), open market patrons (226, 46.41%) and the specialized mall patrons (119, 24.64%). Third, the characteristics of each group had significant differences according to clothing shopping orientation, information search, shopping mall behavior, spending on online shopping, and e-loyalty.