The purpose of this study was to investigate investment behavior of mothers who have children of the lower grades in primary school and the effects of the variables. The subjects of this study were 454 mothers who have children of lower grades in primary school in Seoul. Statistics used for data analysis were frequency, mean, percentage, multiple regression. The households which paid their money for private education investment cost was 182.543 won a month and the mean of time use of mother for child education was 125 minutes a day. The most influencing variable on money investment to private education investment behavior was family income and on time investment to it was influence of reference group.
This study attempted to explore child, family, and parents' psychological factors that were related to quality of home environment among families with preschoolers in Korea. The relationships between a series of factors and home environment and the predictive effects of the factors on HOME scores were analyzed using data from 1,690 families who participated in the5th wave of the PSKC (Panel Study of Korean Children) when the target child's age was about 4 years old. The results revealed that when the child was a boy and when the child had a difficult temperament, the overall HOME scores were lower. Mothers' age, parents' education, family income, poverty and family life events were significantly related to the HOME scores, too. All of the psychological factors of both mothers and fathers were significantly correlated with the HOME scores. When both mother and father had less depressive symptoms, lower level of parenting stress and greater marital satisfaction, the HOME scores were higher. Regression analysis showed that child's gender, father's education and mothers' marital satisfaction were relatively strong predictors of HOME. The policy implication for parent education and suggestions for future study were proposed.
The purpose of the study was to analyze the determinants on the absence of after-school care among elementary students. This study is based on the National Children and Youth Panel Survey(2010) data and analyzed through Binary Logit Model and Multinominal Logit Model. The Following results were obtained: First, school grades, the number of siblings, mother's education, family type by parental employment, family structure, family type by parental nativity, and family income, all affected the absence of after-school care. Second, the absence days of after-school care was affected by different factors. 1day-2days a week in absence of after-school was more likely to increase among children with more siblings and an older father. On the other hand, spending over 3-4days a week without after-school care was more likely to increase among mothers with lower education, dual-earner families, multicultural families, lower family incomes, small cities and rural areas. Based on the results of this study, we agree with the generalization and the diversification of after-school care policy for elementary school students.
The purpose of this study was to examine the health care expenditure of elderly single and elderly couple households whose head is more than 60 years old. The data analyzed for the study were Korean Retirement and Income Study(KRelS) conducted in 2007 by National Pension Corporation. The major finding of this study were as follows: First, the amount of health care expenditure of elderly single households was lower than that of elderly couple households. However, ratio of health care expenditure to total consumption expenditure of elderly single households was larger than that of elderly couple households. Second, the ratio of health care expenditure in consumption expenditure in this study was larger than the ratios in past analyse showed in the previous studies. Third, common factor affecting on health care expenditure of elderly single and elderly couple households was the existence of the family member with chronic disease or handicap. The health care expenditure of elderly singer households was influenced by income, gender and the ownership of national health insurance. The influence of income for elderly singer households seemed to be greater than for elderly couple households. The variables which affected health care expenditure of elderly couple households were age and housing tenure status. The amount and ratio health care expenditure were increased as the age increases. These results show that the health care expenditures for each groups varied according to socio-demographic variables and health-related behavior variables. It is suggested that there should be a discriminative health care policy for each elderly single and elderly couple households. In addition, the health care policy for the elderly households of which member has a chronic disease is certainly necessary. Especially a health care plan for the elderly single households with lower income is in need. For the elderly couple households, the priority group of health care policy would be the high age group.
Park, Hyunchun;Noh, Jin-Won;Kim, Kyoung-Beom;Kwon, Young Dae
The Journal of the Korea Contents Association
/
v.16
no.10
/
pp.411-419
/
2016
This study tried to find the relationship between household income level and medical expense to household income ratio. For data analysis, it used 2010 and 2011 yearly data beta version of Korea Health Panel, co-managed by Korea Institute for Health and Social Affairs and National Health Insurance Corporation. To find out how the effect of independent variable changes in 2010 and 2011, the interaction effect between year and independent variable was examined, and separating the factors that showed interaction effect into each year, linear regression analysis was conducted using generalized estimating equations method. As a result of reviewing the factors that were related to medical expense to household income ratio among the people who used medical services, it was found that the higher the household income level, the lower the medical expense. It indicates that policy measures are needed to lessen the medical burden of low-income families.
This study investigated how different relationships the family has with its social networks by social class. Among research families' primary social networks, the wife's relatives are the most, the neighbor the second, the husband's relative the third, and the church (or other religious groups) the fourth. Social class does not make any difference in what social network is the family's primary social network. When the husband or the wife participates in a social network, he or she tends to participate alone without his or her spouse. When the husband's educational level is high, the wife tends to participate in her alumni association alone. When the husband is in a professional or a white-collar occupation, he is likely to socialize with his work associates alone. On the contrary, when the family income gets high, the husband tends to bring his wife to his alumni association. When looking for a job, most husbands and wives do not resort to a social network for help. Lower-class people are more likely to obtain jobs through their social networks compared to higher-class people. That is, the lower one's educational levle, one's occupational status, or the family income is, the more likely one gets help from some social networks in searching jobs.
The purpose of this study was to propose ubiquitous housing environment based on older residents' needs for ubiquitous(UT) home services. For this purpose, at the previous study which was the first stage of this study, UT home services by each elderly household based on spouse, income level, and health status were identified and this study finally proposed UT home services by each elderly household type according to residents' level of needs for UT home services. One to one interview with a structured survey questionnaire and illustration was implemented and 204 older residents who were composed of one of six elderly household types were responded. Among 6 types of elderly households, type 2 and 6 were the groups which had higher needs for various kinds of UT home services. Economic status and their health status were the key factors to determine their needs for UT home services. Type 4 and 7 were the groups to express their lower needs for UT home services due to their lower income level and good health condition. Ultimately, two floor plans for type 4 and 5 elderly households were developed to show applicable UT home services in each room of the house.
This study analyzed the objective indicators of household economic structures, such as income, expenditure, and debts, as well as a subjective evaluation of economic standards, and compared the households of commuting couples (so called Weekend couples) with those of non-commuting couples. Findings of this study are as follows. First, both husbands and wives in commuter marriages had a higher level of education, were younger, had poorer health, and had shorter working hours than the couples in non-commuter marriages. Second, commuting couples had a significantly higher income than non-commuting couples. In addition, commuting couples had a greater amount of savings, had a higher cost of living, and lower debts than non-commuting couples. Third, commuting couples evaluated their status of household economy more negatively than non-commuting couples. Despite the fact that the commuting couples were more affluent in terms of the objective indicators, including income, savings, and assets, their level of health and psychological well-being were compromised. Lastly, factors determining commuter marriages were the number of years the husband has spent in his job, and the husband's level of education. The shorter the tenure of the husband's job, and the higher the level of husband's education, the more likely the couple was in a commuter marriage.
The purpose of this study was to examine the characteristics of suicide attempts and non-attempts of the elderly living alone and the subjects in this study were 690 elderly persons living alone in Seoul and Gyeonggi Province. For data analysis, this study used descriptive analysis, mean comparison correlation analysis, and binominal logistic regression analysis using PASW 20.0. To explain the suicide attempts of elderly persons who live alone, variables such as sex, age education level, monthly household income, religion, subjective economic status, subjective health status, ADL/IADL, depression, hopelessness, social support, and stress were used. The findings of the study were as follows: First, 9.2 percent(64) of the elderly living alone had attempted suicide and 90.8 percent(626) had never attempted suicide. Second, monthly household income, hopelessness, and social support were identified as the factors that affected their suicide attempts. In other words, the elderly living alone who had lower monthly household income, less social support, and greater feelings of hoprlessness had made more suicide attempts. As it is a cross-sectional research using data from non-probability sampling, this has a limitation in generality sampling, this has a limitation in generalizing the study results. To overcome this limitation, longitudinal research using data from probability sampling is necessary.
The purpose of the present study was to examine the relationship between children's locus of control and their parents. In addition, this study investigated socio-demographic variables of locus of control in children and their patents. The subjects of this study were 269 elementary school children in the 5th and 6th grade and their parents. To assess children's locus of control, the inter -external locus of control scale developed by H.K. Lee(1980) was used. The locus of control scale designed by J. W. Jo(1989) was administered to parents. The data of the study were analysed with t-test, one was ANOVA and Scheffe's test. Also, Pearson's correlation coefficient was computed. The results of this study were as follows. 1)There were significant differences in children's locus of control according to the children's sex, parent's educational background and family income. Boys were more internal than girls. Children with parent who had higher educational backgrounds were more internal than others. Also, children in higher family income were more internal those in lower educational background and family income. Also parents with religion were more internal than those without religion. 3)children's locus of control was significantly correlated with their parents . Paternal locus of control was significantly correlated with their daughter's and maternal locus of control with their sons'.
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