• 제목/요약/키워드: Socio-economic Factor

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The Relationships between Age, Socio-ecoomic Status and Clothing Behavior of Korean Men (성인 남자의 연령 및 사회.경제적 지위와 의복행동과의 상관 연구)

  • 고애란
    • 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.

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An Analysis of the Changes in the Cause-and-Effect Relationships between Socio-Economic Indicators and the Road Network of Seoul Using Structural Equation Model (구조방정식모형(SEM)을 이용한 서울시 도로망과 사회.경제적 지표의 인과관계 변화분석)

  • Kim, Jung-Hee
    • Journal of the Korean Geographical Society
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    • v.44 no.6
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    • pp.797-812
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    • 2009
  • The purpose of this study is to analyze cause-and-effect relationships between patterns of the road network and socio-economic factors such as population, industry, and land use of Seoul during the period of 1970~2000. In this study, Structural Equation Model (SEM) is used to estimate simultaneously the cause-and-effect relationships between many independent variables and dependent variables. For the observed variables, variables related to population, industry, land price, land use, and road variables were included; these variables were classified by exploratory factor analysis. The analysis using the SEM showed that the structure of the model changed around the 1980's. In general, socio-economic factors such as population, industry, and land use affected construction of the road network of the city during the 1970's and the 1980's. Especially, it was analyzed that the industrial development had the greatest impact on formation of the road network. In the 1990's, the effect that the road network exerts on socio-economic factors proved to be more appropriate than the other way round. At that time, the road-related factors had the greatest effect on the land price and industrial development, and that tendency has continued until now.

Undergraduate Students' Coping Behavior in Meal Management with Korean Economic Crisis in 1997 (대학생의 IMF 경제위기를 대응하기 위한 식생활대처행동)

  • Seo, Jeong-Hee;Hong, Soon-Myung
    • Journal of the Korean Society of Food Culture
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    • v.14 no.4
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    • pp.353-360
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    • 1999
  • This paper was developed to determine the university students' coping behavior pattern in meal management with Korean economic crisis in 1997. The data was collected from 544 university students in Ulsan areas. The coping behavior consisted of 26 items which were categorized into 4 factors; (factors were named as related to): 'decrease of intakes factor' ,: 'change to the cheaper choices factor' ,: 'increase of meals at home factor' and 'emphases on quantity sacrificing the quality factor'. Socio-economic variables affected differently the coping behavior in meal management and 4 sub factors. The amount of discretionary expenditure, the status of housing, the monthly household income and gender affected the coping behavior in meal management. The amount of discretionary expenditure and the monthly household income affected the decrease of intakes factor and the change to the cheaper choices factor. The amount of discretionary expenditure and gender affected the increase of meals at home factor and the emphases on quantity sacrificing the quality factor.

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Major Dietary Patterns and Their Associations with Socio-Demographic, Psychological and Physical Factors Among Generally Healthy Korean Middle-Aged Women (건강한 한국 중년 여성에서의 주요 식이패턴과 인구.사회적, 심리적, 신체적 요인 간의 연관성)

  • Lee, Seung-Min;Oh, A-Rim;Ahn, Hong-Seok
    • Korean Journal of Community Nutrition
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    • v.13 no.3
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    • pp.439-452
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    • 2008
  • This study was conducted to identify major dietary patterns of generally healthy Korean middle-aged women and to examine associations of the dietary patterns with socio-demographic, psychological, and physical characteristics. Data were drawn from the 2001 Korean National Health and Nutrition Examination Survey (KNHANES), which is an ongoing national surveillance system. Healthy female subjects aged 40-64 years and provided the health interview examination and food frequency questionnaire (FFQ) data were included. We conducted factor analysis based on daily mean intake frequency of 26 food groups and identified 3 major dietary patterns, healthy, convenient, and alcohol-animal. The healthy pattern was characterized by higher intakes of fish, seafood, poultry, mushroom, seaweed, vegetable, tomato, potato, and fruit, the convenient pattern by processed meat and fish, ramen, noodle and rice cake, sweet snack, egg, bread, and fast food, and the alcohol-animal pattern by alcohol, poultry, meat, and fish. The healthy pattern was significantly related with higher socio-economic status, more stable family structure, healthier mentality, and sounder status of anthropometric and biochemical variables. Those with higher factor scores for the convenience pattern were found to be younger and having higher socio-economic status, higher subjective levels of health, and lower subjective levels of worry on health. Several physical characteristics significantly improved as the levels of the convenience pattern increased. The alcohol-animal pattern was significantly associated with several socio-demographic characteristics including a low education level, a young age, a small family size, and blue-collar jobs. Public health policy makers can utilize the study findings to select prior target populations with higher needs and to tailor dietary behavioral messages to lower chronic disease risks among Korean middle-aged women.

Assessing the Differences in Korean View on National Economic Policy with Factor and Cluster Analysis

  • Kim, Hee-Jae;Yun, Young-Jun
    • 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.

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Middle-Aged and the Elderly People's Anxiety about Economic Change and its Influencing Factors (중노년층의 경제적 노후불안과 영향요인)

  • Hong, Sung-Hee
    • Journal of Family Resource Management and Policy Review
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    • v.21 no.2
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    • pp.95-117
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    • 2017
  • The purpose of this study was to examine the level of anxiety about economic change in middle-aged and elderly people and to analyze the factors that influence this anxiety. The data, derived from Korean General Social Survey(KGSS) were collected from Survey Research Center of Sung Kyun Kwan University. The samples included 821 people over the age of 40, including 529 middle-aged people who were from 40 to 59, and elderly people who were over 60. Multiple regression analysis was used to analyze the research model. The findings from the analysis showed that age and subjective economic status had crucial effects on the entire group's anxiety about unemployment and poverty, housing prices, financial markets, and economic recession in the older life. For the middle-aged group, age in particular had crucial effects on all the components of its anxiety about economic change. For the elderly group, geographical region was the most critical factor that affected its anxiety about economic change, the elderly people who were living in metropolitan area and towns had more anxiety than those who were living in rural areas. In particular, region was the only factor that affected the elderly group's anxiety about financial markets, and economic recession. These results showed that specific age of middle-aged and elderly people had the crucial effects while their sex, educational level, and the employment status of their spouse had no effects on their anxiety about economic change. Objective economic indices such as their earned-income and other income including savings and pensions had no effects on their anxiety level. While as noted above subjective economic indices such as their standard of living compared with their parents, projected economic status, and level of socio-economic success had an effect on anxiety about economic change.

Investigation on Causal Relationships Between Home Environment, Children's Self-evaluation and Learned Helplessness (가정환경, 아동의 자아 평가와 학습된 무력감간의 인과관계)

  • 최보가
    • Journal of the Korean Home Economics Association
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    • v.36 no.4
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    • pp.121-136
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    • 1998
  • The purpose of this study was to investigate the causal resationships between children's learned helplessness, self-evaluation and the home environment which included the family's socio-economic status, parent's achieving pressure and maternal child rearing behavior. The results were as follows; The socio-economic status of home influenced on the parent's achieving pressure, maternal child rearing behavior and children's self-evaluation, but didn't influence children's learned helplessness. Parent's achieving pressure had a negative correlation with the maternal child rearing behavior and influenced children's learned helplessness, but did not influence children's self-evaluation. Maternal child rearing behavior influenced children's self-evaluation, but did not influence children's self-evaluation. Maternal child rearing behavior influenced children's self-evaluation, but did not influence children's learned helplessness directly. Children's self-evaluation had the strongest direct impact on children's learned helplessness. This was found to be a mediating factor between home environmental factor and children's learned helplessness.

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A Study on Clothing Attitude of Chinese Students in Korea - Focused on Gender, Socio-economic Level and Resident Period - (한국내 중국인 유학생의 의복태도 연구 - 성별, 사회경제적 수준별, 한국거주기간별 -)

  • Yu, Ji-Hun
    • Journal of the Korea Fashion and Costume Design Association
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    • v.11 no.2
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    • pp.153-168
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    • 2009
  • The purpose of this study was to identify the clothing attitude of Chinese students in korea according to gender, socio-economic level and resident period. The survey was conducted from October 30th to November 25th 2008, and 267 questionnaires were used for the analysis. Data were analyzed by factor analysis, T-test, ANOVA, Duncan's Multiple Range Test with SPSS 12.0. The results were as follows: 1. Most of Chinese students were middle-class Han race and they have been staying in Korea for 3 years. 2. Fashion leadership was classified as Innovation and Opinion leading factor; conformity as Nonconformity, Identification, and Norm consciousness; pursuit benefit as Practicality, Economy, and Aesthetic. 3. The Innovation factor was highly marked in female student group, the Opinion leading factor was higher in high-class group, and the pursuit benefit factor was significantly different between less than three years group and over three years group who have been in Korea. 4. We need to recommend best-design clothes for high-class Chinese female students who have been in Korea for over three years, and low-price clothes for less than 3 years.

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Predictors of Korean Elderly People's Self-rated Health Status and Moderating Effects of Socio-Economic Position (사회경제적 지위가 노인의 주관적 건강상태에 미치는 영향과 건강요인 및 건강행태 요인의 조절효과)

  • Lee, Mee Ae;Kim, Dae Chul
    • The Korean Journal of Community Living Science
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    • v.24 no.1
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    • pp.37-49
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    • 2013
  • The purpose of this study is to explore how health and health behavior factors moderate the relation between socio-economic position(SEP) and Korean elderly people's self-rated health status. The data sources are from the Korean Longitudinal Study of Aging(2008). The analysis sample consists of 4,040 cases. Analysis of the results shows that health characteristics such as ADL, MMSE, geriatric depression, and pain are significant predictors of self-rated health status. In addition, exercise and drinking alcohol also prove to be factors influencing self-rated health status. Health factor such as MMSE and health behavior factors such as drinking alcohol served as moderators of the influences of SEP on one's self-rated health status. For example, higher MMSE provides a slight increase to the positive relationship between SEP and self-rated health status. In addition, those who responded yes to drinking alcohol, compared to those who responded no, provides an increase to the positive relationship between SEP and one's self-rated health status.

Impact of Bridge Construction on County Population in Georgia

  • Jeong, M. Myung;Kang, Mingon;Jung, Younghan E.
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1017-1023
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    • 2022
  • Past research shows that the construction of new infrastructure accelerates economic growth in the region by attracting more people and commodities. However, the previous studies only considered large-scale infrastructures such as sea-cross bridges and channel tunnels. There is a paucity of literature on regional infrastructure and its impact on socio-economic indicators. This paper explores the impact of new bridge construction on the human population, particularly focusing on regional bridges constructed during the 2000s in the state of Georgia. The human population at a county level was selected as a single socio-economic factor to be evaluated. A total of 124 cases were investigated as to whether the emergence of a new bridge affected the population change. The interrupted time series analysis was used to statistically examine the significance of population change due to the construction by treating each new bridge as an intervention event. The results show that, out of the 124 cases, the population of 67 cases significantly increased after the bridge construction, while the population of 57 cases was not affected by the construction at a significance level of 0.05. The 124 cases were also analyzed by route type, functional class, and traffic volume, but the results revealed, unlike large-scale infrastructure, that no clear evidence was found that a new bridge would bring an increase in the human population at a county level.

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