• Culinary science and hospitality research
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• v.14 no.2
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• pp.262-272
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• 2008

This study examines whether job satisfaction of cooks working in the luxury hotels in Seoul significantly differs from those in Busan. The data for this study was collected from randomly chosen luxury hotels located in both areas. Out of 264 cooks who participated in the study, 130 and 134 turned out to be from Seoul and from Busan, respectively. SPSS 14.0 version was used for factor analysis to combine job satisfaction variables, identifying five factors; competence development, work environment, salary and employee benefits, co-worker relations, superior relations. While this study used t-test for identifying whether there is a significant difference between the two cities and between the part of demographic variables, ANOVA was applied in other demographic variables such as education, age, job position, and income.

• Korean Journal of Child Studies
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• v.26 no.1
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• pp.359-373
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• 2005

This study examined the child care teachers' job satisfaction in relation to their self-esteem and the differences in their job satisfaction by demographic variables. Subjects were 285 child care teachers in Chungnam province. The instruments were 'Teachers' Job Satisfaction Scale' and 'Rosenberg Self-Esteem Scale'. The collected data were analyzed by one-way ANOVA, Pearson's correlation, stepwise multiple regression(forward), Duncan test for a post hoc test, Cronbach's a for reliability, and factor analysis by SPSS PC program(10.0 version). The results were as follows; first, child care teachers' job satisfaction and self-esteem were above average. Second, child care teachers' total job satisfaction was high in high school graduation and married status and their self-esteem was high in over 5 years career, married status, and over 40 years old. Third, the correlation coefficient was -.29 in relation of teacher's job satisfaction and self-esteem. Finally, teachers' self-esteem and demographic variables explained about 622%.

• Journal of Family Resource Management and Policy Review
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• v.3 no.2
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• pp.105-123
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• 1999

The purpose of this study was to identify housewives’housing values, to explore the degree of housewives’housing satisfaction according to residential area and to investigate the relative importance of housing values which affect housewives’housing satisfaction according to residential area and socio-demographic variables. The subjects of this study were 1,984 married women living in Taegu. A questionnaire was used as survey method. The data was analyzed by means of factor analysis, ANOVA, Scheffe test and regression analysis. The main findings were as follow: First, there was significant difference in housewives’housing values according to residential area. Second, housewives’housing satisfaction was found to be significantly different according to residential area. Third, housewives’housing satisfaction was significantly affected by housing values according to residential area and socio-demographic variables.

• Journal of the Korean Home Economics Association
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• v.25 no.2
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• pp.89-107
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• 1987

This study aimed at providing basis data to understand homemanagement by patterning of the life styles of housewives and by analysing the disposition of homemanagement behavior and characterstics of the behavior pattern to the difference of the life style patterns of housewives. The result can be summarized as follows: 1. By utilizing factor analysis and cluster analysis, the life style types of housewives were classified into 4 types, namely, self-fulness type (28.4%), negative stagnation type (22.7%), fashion-convenience type (23.3%), innovation-urging type (25.6%). 2. The life style types of housewives which were classified, differed significantly according to all of the demographic variables except family size variable. 3. The disposition of homemanagement behavior which were classified into inner-directed type and other-directed type, differed significantly according to the husband's age variable. 4. The patterns of homemanagement behavior which were classified into market pattern and service pattern, differed significantly according to the all of the demographic variables. 5. The disposition and the pattern of homemanagement behavior differed significantly according to the life style types of housewives.

• Journal of the Korean Home Economics Association
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• v.46 no.10
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• pp.11-22
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• 2008

This study was conducted to examine how family strengths are affected by parenting stress, socio-demographic factors and communication strategy, with a specific focus on mothers with young children. In total, 418 mothers of 4-5 years old children were included in this study. Higher education achievement was significantly related to higher communication strategy and better family strengths. However educational background had no effect on degree of parenting stress. Lower household income was related to higher parenting stress while higher income resulted in stronger family strengths. However family income showed no correlation with communication strategy. Lower parenting stress and higher communication strategy contributed to better family strengths, The most influential factor of family strengths was parenting stress.

• Journal of Agricultural Extension & Community Development
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• v.18 no.4
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• pp.933-959
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• 2011

The study aims to identify residents' perceptions of tourism impacts according to the demographic characteristics. The analysis was based on 366 questionnaires given to residents of six rural communities in rural Korea. A series of data analysis such as factor analysis, t-test, and ANOVA was conducted to investigate the residents perceptions of tourism impacts. Results showed that whereas younger, less educated and poor could perceive a negative impacts. older, educated and richer were more likely to perceive a positive impacts of economic, social and environmental spheres. Especially male was more likely to perceive a positive socio-cultural impacts, whereas female was perceive a negative impacts. The results suggest that it is important for policy makers and community leaders to consider social-cultural and economic impact when decision making on development planning.

• Korean Journal of Child Studies
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• v.26 no.4
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• pp.55-70
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• 2005

The Teachers' Job Stress Scale(D'Arienzo, 1981) and the General Self-Efficacy Scale(Kim & Cho, 1996) were used to study 170 child care teachers. Data were analyzed by one-way ANOVA, Pearson's partial correlation, stepwise multiple regression(forward), path analysis, Internal consistency(Cronbach's $\alpha$), and factor analysis. Results showed that job stress was low for teachers of the national child care center, university graduates, higher salaried, and married teachers. Self-efficacy was high among teachers with more than 2 years experience, married status, and previous experience. Correlation between teacher's job stress and self-efficacy was -.19. Self-efficacy and demographic variables for job stress explained 8~22% of the variability. Self-efficacy intermediated between job stress and demographic variables. Monthly salary directly affected job stress.

• The Research Journal of the Costume Culture
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• v.6 no.3
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• pp.100-110
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• 1998

The purpose of this study is to find out the benefits sought factors of clothing and to segment the female apparel market to analyze clothing preferences and demographic characteristics of benefit segments. The subjects were 303 female in their 30's and 40's living in Seoul and the Kyunggi province. For data analysis, mean, Factor Analysis, Cluster Analysis, ANOVA, Duncan test, x²-test were conducted. The results are as follows: 1. Benefits sought by female were found to include five different factors-brand, individuality, fashionability, activity and economy. As a result of subdividing the female, five distinctive groups were formed on the basis of benefit factors-brand oriented group, indifference group, indifference group, fashion oriented group, economy oriented group, individuality oriented group. 2. Among the classified benefit groups, there were significant differences in clothing preferences according to fabric, style and color. 3. Among the classified benefit groups, there were significant differences in demographic variables according to the academic background, occupation of the subjects.

• 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.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.7
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• pp.1025-1031
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• 2017

This study compares the characteristics and the determinants of household electricity consumption for low electricity consuming and high electricity consuming households. The data are drawn from a household energy consumption sample survey by Korea Energy Economics Institute in 2015. The results show the differences in socio-demographic, dwelling, and electricity consumption characteristics between two households. Next, the factors affecting the household's electricity consumption are investigated. Common factor affecting the electricity consumption function is only the number of electrical appliances. There are also the differences in major determinants of the household's electricity consumption functions for two households. The results of this study would be useful for understanding socio-demographic, dwelling, and electricity consumption characteristics of low electricity consuming and high electricity consuming households.