• Journal of Environmental Impact Assessment
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• v.13 no.4
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• pp.165-185
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• 2004

Assessment in Socio-economic items should be used to estimate social influence when policies and projects were introduced. To estimate current situation of socio-economic items 19 Environmental Impact Statement (EIS) of large scale projects were analyzed. The projects were selected based on magnitude of social impact when the projects were implemented. Environmental Impact Statement was categorized into line projects(road construction, railroad construction, stream development, etc), and surface projects(energy development, wetland reclamation, recreation and sport development, and housing and residential development, etc) thus being chosen for 19 projects in each categories. This report was based on the analysis of 7 items in socio-economic environmental items(i.e., population, residents, industry, public facilities, education, transport and historical monument). Most EIS did not follow the regulation suggested by Ministry of Environment, and only current circumstances were briefly described. Indifference of in-depth analysis of socioeconomic environmental items would influence the process of social and environment impact negatively in the midst of construction of National Projects such as Outer Circle Seoul Highways, Saemankeum Reclamation Projects, etc. This abrupt halt of construction was mostly based on a lack of public hearing or public participation. Socio-economic items are also very much lacking in quantitative method and strengthening socio-economic environmental items is needed via checklist or matrix that brings decision-makers better ideas objectively.

• Journal of the Korean Society of School Health
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• v.18 no.2
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• pp.63-71
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• 2005

Purpose： This study explores the relationship between the health behavior and knowledge of elementary school students and the socio-economic status of their parents. Methods： A self-administrated questionnaire was provided to 238 students and their parents living within Seoul metropolitan area. The questionnaires were administered during December 2003. The relationship betweensocio-economic status, health behavior (19 items) and health knowledge (15 items) were analyzed using correlation, t-test and one-way ANOVA. Multiple regression analyses were also performed in order to investigate the relationship between health behavior and socio-economic status. Results： The results of multiple regression demonstrated that the health behavior of children living in apartments was 2.29 higher ($\beta$=2.29) than those not living in apartments. Health behavior scores among students with highly educated mothers were 0.42 higher ($\beta$=0.42) than those for students with relatively uneducated mothers. These numbers represent statistically significant values. Conclusion： Since health behavior appears to be directly proportional to socio-economic status ofthe parent, active intervention may be required in order to improve the health behavior of children with poorly educated mothers and who live in independent or multi-household houses.

• Journal of the Korean Society of Marine Environment & Safety
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• v.16 no.1
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• pp.49-55
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• 2010

Marine oil spill accidents not only devastates marine ecosystem but also Ins significant adverse socio-economic impact on local community whose living is dependent on clean marine system Although the Marine Environment Management Act of the Republic of Korea stipulates tim marine pollution impact survey must be conducted at the time of the oil spill, the articles do not provide specifics or concrete survey items for socio-economic impact assessment Moreover, there are redundancy questions in the provisions related to socio-economic impact assessment. This paper examined several difficulties encountered in carrying out the socio-economic impact assessment for marine oil spill as required in the law, and presented some recommendation., for the plan to improve the assessment mechanism systematically through the development of the research categories and indicators of socio-economic impact assessment.

• Journal of Families and Better Life
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• v.17 no.3
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• pp.17-32
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• 1999

This study shows how the lifestyle of Housewife as well as usual socio-economic variables affect the expenditure of urban household. The Result of Factor Analysis revealed that the lifestyle of urban housewives were composed by four different traits. 1) self-improvement and rational trait 2) consumption-oriented convenience seeking trait 3) traditional-conservation trait 4) money-oriented variety seeking trait. Based on the Multiple regression analysis the analysis of the relative influence of variables which were associated with the expenditure of each item showed that influential variables for each item were different but economic variables(e, g , income saving, property etc) affected on most of expenditure. Socio-economic variables were more influential than lifestyle variables for every item. But lifestyle variables were influential the same as Socio-economic variables for unnecessary expenditure item more than necessary items particularly consumption-oriented convenience eeking trait and money-oriented variety seeking trait affected.

• Journal of the Korean Home Economics Association
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• v.28 no.4
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• pp.155-176
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• 1990

The purpose of this study is to investigate the influential factors to home management ability of mothers and their unmarried daughters through researching the relationship of their home management ability. It would provide the basic data for the direction of Home Economics Education. The subjects were 653, from 20 to 30 years of unmarried women and their mothers in Chonbuk province. The questionaire was used to measure their Home Management ability. The measured areas were planing, creativity, consumption management, housework, evaluation, and human relation. The question items were respectively 6 and totally 36. Spss was used for the statistic. Frequency, Percentage, Means, Standard Deviation were used for general understanding. For data analysis, F-test, Pearson Product-moment Correlation, Duncan's Multiple Range Test, Stepwise Multi-regression Analysis were used. Lastly, the research pattern was examined by Path Analysis. The results were as follows. 1. The importnat influential factors to mother's home management ability were their schooling level and their perceived socio-economic status among the general factors(age, shooling level, perceived socio-economic status) and the family atmosphere factors(monthly income, family type). 2. The important influential factors of unmarried daughter's home management ability were the monthly income of their family and the socio-economic status perceived by them, among their mother's general factors, family atmohphere factors, their own general factors(age, schooling level, perceived socio-economics status, occupation, growing place). 3. The influence of mother's home management ability on unmarried daughter's home management ability was much more remarkable than mother's general factors, family atmosphere factors and unmarried daughter's general factors.

• Journal of the Korean Home Economics Association
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• v.25 no.1
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• pp.1-10
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• 1987

The purpose of this study was to investigate the relationships between demographic variables and seven aspects of clothing behavior of adult males, and to attempt to develop the measurement of men's clothing behavior. Age was ranked by five gradation (20∼60 ages) and socio-economic status was divided into three categories (high, middle, low) based on the subjects' education, occupation and economic status. Six aspects of clothing comfort, satisfaction, status symbol, conformity, fashion interest and clothing acceptance I were assessed with Koh's, Chung's and Lee's questionnaires. Clothing acceptance by line-drawing of clothing syles representing different levels of formality for occasions designed to measure the awareness of appropriate clothing category of business suits. The questionnaires in this study were administered to a sample of men living in Seoul. The sample was drawn by the random-cluster sampling method. The data from 362 respondants were analysed. To determine the internal validity of clothing behavior mesurement, factor analysis was computed, whereas to determine the reliability, Cronbach's alpha was calculated. The statistical methods adopted were correlation, one-way ANOVA, and multiple regression. The results obtained in this study were as follows: 1) As for clothing behavior instruments, items dealing with status symbol and fashion nterest were proved to be satisfactory as a measurement of adult males. Eight factors emerged on clothing acceptance Ⅱ, most of which were representing unappropriate clothing choice for occasion. 2) Demographic variables were significantly related to the adult males' clothing behavior. (1) Age was positively related to clothing conformity but negatively to fashion interest. (2) Socio-economic status was positively related to clothing satisfaction, status symbol, and fashion interest but negatively to clothing confort. (3) When age was controlled, socio-economic status was negatively related to comfort in 40∼50s age group only, and negatively related to clothing conformity in 20∼30s age group only. (4) Four subscales of clothing acceptance Ⅱ representing unappro-priate clothing practice for selected occasions were negatively related to age and/or socio-economic status.

• Journal of the Korean Home Economics Association
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• v.26 no.3
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• pp.1-12
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• 1988

The objectives of the study were two folds. The first objective was to determine the dimensions of the evaluative criteria of various clothing items (underwear, pajamas, jeans, blouse, two-piece, coat). The second objective was to compare the importance of the dimensions according to the clothing items and the socioeconomic status of the subjects. The questionnaires were administered to college female students living in Seoul. Principal component factor analysis with varimax rotation and ANOVA were used for the analysis. The results were as follows; 1) The evaluative criteria dimensions were found to be different according to clothing items. (1) In underwear, pajamas, jeans, evaluative criteria were classified into Aesthetic dimension, economic dimension and Functional dimension. (2) In blouse, two-piece, coat, evaluative criteria were classified into Aesthetic dimension and practical dimension. 2) there were partially significant differences in placing importance on each evaluative criteria dimension between socio-economic groups. (1) In jeans, there was a significant difference in placing importance on Aesthetic dimension between socioeconomic status groups. (2) In blouse and two-piece there was a significant difference in placing importance on Practical dimension between socioeconomic status groups.

• Nutrition Research and Practice
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• v.16 no.4
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• pp.489-504
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• 2022

BACKGROUND/OBJECTIVES: This study examined socio-economic differences in diverse food consumption among children 6-23 months of age in South Asia and Southeast Asian countries. SUBJECTS/METHODS: Data from Demographic and Health Surveys in four countries in South Asia (n = 15,749) and four countries in Southeast Asia (n = 10,789) were used. Survey-design adjusted proportions were estimated for the following 10 food items: grains, legumes, dark green leafy vegetables (DGLV), vitamin A-rich fruits, vitamin A-rich vegetables, other fruits and vegetables (OFV), fish, meat, dairy, and eggs. An equity gap was defined as an arithmetic difference in the proportion of each food item consumed in the past 24-hours between the wealthiest and lowest quintiles and between rural and urban areas, denoted by percentage points (pp). RESULTS: The consumption of most of the 10 food items was higher in the wealthiest quintiles and urban areas across eight countries. The size of equity gaps was greater in Southeast Asia than in South Asia, particularly for vitamin A-rich fruits (3.3-30.0 pp vs. 0.3-19.6 pp), vitamin A-rich vegetables (12.1-26.7 pp vs. 2.4-5.9 pp), meat (17.7-33.4 pp vs. 3.4-13.4 pp), and dairy (14.7-32.5 pp vs. 3.3-11.4 pp). However, the size of equity gap in egg consumption was greater in Southeast Asia than South Asia (11.2-19.8 pp vs. 11.0-26.7 pp). Relatively narrower gaps were seen in the consumption of grains (0.3-12.9 pp), DGLV (0.6-12.4 pp), and fish (0.1-16.8 pp) across all countries. CONCLUSIONS: Equity gaps in food consumption differed by socio-economic status and region. Reducing equity gaps in nutrient-rich foods and utilizing regionally available food resources may increase child dietary quality.

• Journal of the Korean Data and Information Science Society
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• v.19 no.2
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• pp.451-461
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• 2008

In this study, factor and cluster analysis have been conducted to group the differences in Korean view on national economic policy in the sample of the 2006 Korean General Social Survey (KGSS). According to the 2006 KGSS, the 6 items with a 5-point Likert scale include the questions about whether or the extent to which each respondent supports the specific types of governmental economic policy. In our study, at first, the factor analysis has converted the original 6 items into the 3 composite variables that account for 81% in the total variability. As the second step of factor analysis, factor scores have been computed. Then, the K-means cluster analysis based on the factor scores has been conducted to group the survey respondents into the 3 clusters. In particular, the cross-tabulation analysis has shown that the distribution of the 3 clusters varies with the respondents' socio-demographic characteristics.

• Journal of the Korean Society of Food Culture
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• v.20 no.2
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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.