• 한국주거학회논문집
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• 제10권1호
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• pp.85-95
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• 1999

The purpose of this study was to analyze the motives of residential mobility and variables which effect it through surveying questionaires of 240 housewives who lived in a tenement house. The analytical methods adopted in this study were factor analysis, one-way ANOVA, Duncan's multiple range test, multiple regression analysis. The SPSS+ program was used in analysis. The major findings were as follows: First, the motives were composed of 6 factors ; housing improvement, housing policy, accumulation of property, comfortable residential environment, educational environment, traffic convenience. Second, there were a significant differences in residential mobility according to socio-demographic and housing variables. Third, in analysis of variables which effect residential mobility, a housing improvement influenced by socio-demographic variables, an comfortable residential environment influenced by housing variables and also family life cycle was a variable that effect factors such as housing policy, accumulation of property, educational environment and traffic convenience.

• 한국유통학회지:유통연구
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• 제4권2호
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• pp.75-91
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• 1999

This study is intended to help internet marketers by trying to segment consumer who had experience in buying clothing in internet shopping-malls. Concrete purpose of this study was 1)to segment by Buying Motives of Internet Clothing Buyer, 2) to identify demographic traits of segmented groups and 3) to identify buying behavior traits, internet shopping-mall choice criteria of segmented groups. The data of 500 respondents were collected by questionnaires in internet survey site. The results were as follows : 1) 5 factors; convenience, informational, hedonic, economic, easiness of refund were revealed by factor analysis, 2) 3 group types by buying motives; information-oriented, hedonic, convenience-oriented were identified by cluster analysis, 3) 3 groups were different in demographic traits, 4) goal-directed/experience-directed behavior and shopping-mall choice criteria of three groups were different. And then marketing implications were discussed.

• 보건교육건강증진학회지
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• 제6권1호
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• pp.34-47
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• 1989

The changing trend of longevity from 1955 through 1985 and its interprovincal variation were studied with longevity rate as indicator. In order to detect the affecting factors of longevity rate, eleven urbanalizational, geographic-environmental, demographic and social-economic variables were employed to carry out multiple stepwise regression analysis. The data used for this study were from Population Census Reports 1955-1985 published by EPB and Year book of Public Health and Social Statistics 1986 published by Ministry of Health and Social Affairs and other reference. Subsequent to that longevity rate decreased during 1950's it has increased continuously by the yeat of 1980's. This trend was especially remarkable in the south area and the GIRI mountain area in Korea. The stepwise regression analysis shows that the longevity rates were significantly associated with the independent variables, and the dependent variables explained at the level of 93.7percent-99.9 percent. Longevity is a reflection of the demographic and socio-economic, environmental and health resourses factor etc., longevity problems cannot be dealt with in isolation. The possible research and services which could be provided by government will be discuss.

• 가정과삶의질연구
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• 제23권6호
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• pp.145-153
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• 2005

The purpose of this study was to analyze the impacts of consumers' demographic characteristics on their involvement in retired communities, under the assumption that consumers' involvement in retired communities would be a preceding factor of the consumers' preferences for retired communities. One of the major findings of this study was that there were statistically significant differences in the involvement in retired communities by several demographic variables such as age, gender, level of education, income, total family asset, consumer values, and pursuit of happiness. Second, such involvement was strongly correlated with consumer preferences. Third, the community management styles, such as sales and rental conditions, significantly influenced consumers' level of preference. The results from this study could provide useful information not only for understanding the residents of retired communities, buffer enhancing the welfare of residents of retired communities.

• 한국의류학회지
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• 제29권1호
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• pp.68-78
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• 2005

The purpose of this study was to examine the women consumers' clothing consumption value and involvement according to size of the city. 538 females living in Seoul(large city) and Jecheon(small city) were surveyed for this study. For data analysis, factor analysis, t-test, and regression were used. For clothing consumption value, five factors of value were founded and labeled as functional, emotional, epistemic, social and conditional value. Three factors of clothing involvement were also identified as clothing/fashion, symbolism and reasonability involvement. Size of the city influenced total clothing consumption value and involvement. Also, size of the city influenced clothing consumption value and involvement factors. When the cities were divided into two groups(large and small city), they showed different clothing consumption values and involvements according to the demographic variables.

• 한국의류학회지
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• 제22권7호
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• pp.872-881
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• 1998

The purposed of this study was to investigate the dimensions of clothing purchasing motives and to examine differences of these dimensions according to the demographic variables, and to examine the relationship between the clothing attitudes and clothing purchasing motives. The subjects selected for the final analysis were 595 adults rainging from 20's to 40's in age. As for the analytic method. Cronbach's $\alpha$, factor analysis, one-way ANOVA, Tukey's multiple range test, frequency and percentage were applied. The conclusions of this study were as follows: 1. The clothing purchasing motive was classified into five dimensions: advertising and promotion, finding of clothing meeting one's own taste, extra income, practical purchasing needs and impulse purchase. And the dimensions of clothing purchasing motive were significantly different according to monthly expenditure on clothing, sex and educational level. 2. The relationship between the clothing attitudes dimensions and clothing purchasing motive dimensions were significant.

• 한국의류학회지
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• 제24권1호
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• pp.55-66
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• 2000

The purpose of this study was to investigate relationship between Sex Role Identity, Clothing Involvement, and Clothing Satisfaction, among high school students, and the difference of Sex Role Identity, Clothing Involvement, and Clothing Satisfaction according to demographic variables. The questionaire survey was used toward 555 high school students in seoul region during October, 1998. SAS package program were used to analyze the gatherd data. Frequency, Percentage. Factor Analysis, Duncan test, Correlation Analysis and so on. The conclusion based on the results are as follows: 1. With the analyses of Sex Role Identity, Clothing Involvement, and Clothing Satisfaction, we divided the polarized Sex Role Identity into four factors : androgynous, masculine, feminine and undifferentited type. Four factors are considered to decide Clothing Involvement: fashion, interesting pleasure, symbolism, and utility perceived risk. 2. There are significant differences in Sex Role Identity, Clothing Involvement, and Clothing Satisfaction according to demographic variables. 3. The analysis of correlations among Sex Role Identity, Clothing Involvement and Clothing Satisfaction showed that there are significant among them.

• 복식
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• 제47권
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• pp.47-60
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• 1999

The purpose of this study was to investigate relationship between individualism collectivism clothing behaviors and clothing purchasing motives among high school students and the difference of individualism collectivism clothing behaviors and clothing purchasing motives according to demographic variables. And we also took a close look at how they turned out in their actual clothes-buying. The questionaire survey was used toward 55 high school students in seoul region during October 1998. SAS package program were used to analyze the gatherd data. Frequency Percentage Factor Analysis Duncan test Correlation Analysis and so on. The conclusion based on the results are as follow; 1. The analysis of correlations among individualism collectivism clothing behaviors and motivations showed that there are significant correlations among them 2. There are significant differences in individualism collectivism clothing behaviors and clothing purchasing motives according to demographic variables. 3. There also are significant differences in what motivates them to buy clothes and what they actually purchased(=their motives to buy clothes and their actual purchasing).

• 한국의상디자인학회지
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• 제4권2호
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• pp.31-45
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• 2002

The purpose of this study was designed to investigate if self-monitoring variable among various individual trait theories and demographic variable would be variables which can explain about the importance differences of consumer service level of retailing in the garment product. The survey was conducted from Feb, 6 to 16, 2002. For this survey, the 118 data were analysed with spss window 9.0 version and Cronbach's, Factor analysis, one-way ANOVA, Duncan test, Frequency, mean, percentage were applied. The results of this study were as follows; 1. Consumer service was classified in attitude/confidence/expert knowledge of salesperson, product display, product information, product assortment, shopping environment, lighting setup. 2. As a result of analyzing the importance differences per consumer service dimension depending on self-monitoring levels, it was not significant differences. 3. As a result of analyzing the importance differences per consumer service dimension depending on demographic variables, it was not significant differences.

• 한국식생활문화학회지
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• 제20권2호
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• pp.243-252
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• 2005

This study identified how family restaurant customers' attitude toward yield management strategies, which include reservation, time, menu, and service factors. Generally, yield management explains how price and dining duration maximize the revenue of family restaurants. There are three ways to improve family restaurant yield; improving table turns, upgrading seat occupancy, increasing price per customer. The 45 items of yield management strategies are developed by literature reviews, web sites analysis, and interviews with family restaurant employers. Factor analysis and reliability analysis from present study found out 11 important factors, which represent the study's dependent variables. Regression analysis may be helpful to test whether demographic and socio-economic factors have relationships with family restaurant customers' attitude toward yield management strategies. As a regression result, gender, family size, age in demographic factors and education and occupation in socio-economic factors have relationships with family restaurant customers' attitude toward yield management strategies significantly.