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.
In recent years, conoeptualizations of the residential crowding phenomena have developed form deterministic approaches to functionalistic ones which emphasize the interaction of environmental , social, and personal variables. The influences of each variables which are believed to mediate the crowding perception have been tested. This study examines the association of the influence of socio-demographic variables, residential setting and previous residential experience with the residential crowding. Futhermore, the residential adoptation behavior in response to the crowding phenomena is analyzed. The results of a survey are as follows; 1)The most important variables which influence residential crowding are the residential setting variables such as the floor space and the measure of persons per room. Also the household income and the family structure influence the residential crowding. No previous residential experience effects were found. 2)The residential adoptation behavior is influenced by sex, age and socio-economic status of the family. Female and the age group of 20s and 30s tend to prefer such alternatives as moving or residential alterations and additions. On the other hand, male and the age group of 40s and 50s tend to prefer staying without nay alternatives or structural family adoptation. The group of higher socio- economic status tend to show higher preference to moving and alterations, and the lower ones tend to stay or take the alternative of the structural family adoptation. Years of education and the family structure do not influence the residential adopation behavior.
This study examined the variables that influence career maturity in elementary school students and tested a hypothetical structural equation model relating the variables to career maturity. The subjects were 2,771 fourth-grade children(1,494 boys and 1,277 girls) who participated in a Korea Youth Panel Survey(KYPS) in 2004. Data were analyzed through frequency, percentages, Pearson's correlations using SPSS 15.0and structural equation modeling with AMOS7.0. The findings are as follows. The proposed model, as revised, demonstrated the effectiveness of an analysis of the structural equation model, and illustrated that the socio-economic status of parents has only an indirect influence on children's career maturity via relationship with parents, children's self-image or academic work. In addition, relationship with parents, children's self-image, and academic work independently affected children's career maturity both directly and indirectly. Based on the causal relationships among these related variables, the findings reveal that the best pathway towards children's career maturity is in the order of socio-economic status, relationship with parents, children's self-image, and children's academic work.
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.
Mwanga, Joseph R.;Kaatano, Godfrey M.;Siza, Julius E.;Chang, Su Young;Ko, Yunsuk;Kullaya, Cyril M.;Nsabo, Jackson;Eom, Keeseon S.;Yong, Tai-Soon;Chai, Jong-Yil;Min, Duk-Young;Rim, Han-Jong;Changalucha, John M.
Parasites, Hosts and Diseases
/
v.53
no.5
/
pp.553-559
/
2015
Research on micro-level assessment of the changes of socio-economic status following health interventions is very scarce. The use of household asset data to determine wealth indices is a common procedure for estimating socio-economic position in resource poor settings. In such settings information about income is usually lacking, and the collection of individual consumption or expenditure data would require in-depth interviews, posing a considerable risk of bias. In this study, we determined the socio-economic status of 213 households in a community population in an island in the north-western Tanzania before and 3 year after implementation of a participatory hygiene and sanitation transformation (PHAST) intervention to control schistosomiasis and intestinal worm infections. We constructed a household 'wealth index' based housing construction features (e.g., type of roof, walls, and floor) and durable assets ownership (e.g., bicycle, radio, etc.). We employed principal components analysis and classified households into wealth quintiles. The study revealed that asset variables with positive factor scores were associated with higher socio-economic status, whereas asset variables with negative factor scores were associated with lower socio-economic status. Overall, households which were rated as the poorest and very poor were on the decrease, whereas those rated as poor, less poor, and the least poor were on the increase after PHAST intervention. This decrease/increase was significant. The median shifted from -0.4376677 to 0.5001073, and the mean from -0.2605787 (SD; 2.005688) to 0.2605787 (SD; 1.831199). The difference in socio-economic status of the people between the 2 phases was highly statistically significant (P<0.001). We argue that finding of this study should be treated with caution as there were other interventions to control schistosomiasis and intestinal worm infections which were running concurrently on Kome Island apart from PHAST intervention.
In the present study we examined clothing expenditure patterns and related variables in Korea. In addition we analyzed the differences of clothing expenditure patterns between overall overspenders and non-overspenders. We use the Family Income and Expenditure Study published by the National Statistical Office of Korea. Double logarithm functional forms were used to adjust the normality of sample distribution and multiple regression analyses and t-test were utilized as a statistical tools. The present study was divided into four folders. First the income elasticity of clothing expenditures was examined by different groups such as age job and education levels of households as percentage change of clothing expenditures to a percentage change of income. Second to analyze the effects of demogtraphic and socio-economic variables on clothing expenditure we utlized the standardized coefficients in the separate regression equation by demographic and socio-economic variables. Third using spending to income ratio we investigated the differnces of the clothing expenditure patterns between overall overspenders and non-overspenders. Fourth the effects of independent variables by ovespenders and non-overspenders werediscussed.
The comparative evaluation of occupational accident fatality rates (OAFRs) of different countries is complicated owing to the differences in their level of socio-economic development. However, such evaluation is necessary to assess the national occupational safety and health system of a country. This study proposes a statistical method to compare the OAFRs of countries taking into consideration the difference in their level of socio-economic development. We first collected data on the socio-economic indicators and OAFRs of 11 countries over a 30-year period. Next, based on literature survey and statistical correlation analysis, we selected the significant independent variables and built multiple linear regression models to predict OAFR. We also determined the groups of countries having heterogeneous relationships between the independent variables and OAFRs, which are represented by the regression models. The proposed method is demonstrated by comparing the OAFR of Korea with the OAFRs of 10 other developed countries.
This study examined the characteristics of the relationship of environmental variables that is HOME socio-demographic variables and children's verbal ability at age five. Especially this study investigated causal relationships among the variables which are supposed to affect children's verbal ability. The subjects of this study were 60 children at age five and their mothers. Instruments included inventory of home stimulation(HOME) inventory of socio-demographic variables inventory of the children's verbal ability and intelligence test. The results obtained from study were as follows: 1. For the most part environmental variables had a significant positive correlation with children's verbal ability 2. The variables that significantly predicted boy's verbal ability were aspects of physical environment breadth of experienc. And the variables that significantly predicted girls' verbal ability were developmental stimulation economic status of the home. 3. The results of the analysis of the causal model showed that the kind of variables that affected boy's verbal ability directly were indirect stimulation direct stimulation. And the kind of variables that affected girls' verbal ability directly were direct stimulation econmic status of the home inditect stimulation. 4. Another causal model of the environmental variables affecting children's verbal ability were formulated by exogenous variables(socio-demographic variables) and by endogenous variables (HOME, children's intelligence). The results of the analysis of the causal model showed that only HOME variables significantly affected boy's and girls' verbal ability directly.
This article is to estimate the fishing frequency function in Korean recreational fishery with respect to socio-economic characteristics of anglers. First, the study described the characteristics of the entire angler population on the view points of 9 socio-economic variables. And then, the study divided the total angler population into three groups of in-land, sea, and mixed angler populations in order to investigate the differences in their characteristics. The study could confirm the existence of differences in regions, size of regions, and educational levels between the in - land and the sea angler populations by testing heterogeneity in the frequency table. The fishing frequency function is estimated using Poisson regression model in order to accomodate the count data(non-negative discrete random variable) aspects of the fishing frequency. However, the model specification error is found due to overdispersion of data. The model exhibits the lack of goodness of fit. The negative binomial regression model is adopted to cure the overdispersion of the data as an alternative estimation methodology. Finally, the study can confirm overdispersion does not exist in the model any more and the goodness of fit improved significantly to the reasonable level. The results of estimation of fishing frequency population modeled by the negative binomial regression models are following. The three variables of region, sex, and education have effects on the decision making process of fishing frequency in the case of in-land recreation fishery. On the other hand, the three variables of sex, age, and marriage status do the same job in the case of sea angler population. Among the left-over variables, both income and use of Internet variables now affect on the process in mixed angler population. Finally, the results of whole angler population show that all of the previous variables are proven to be statistically significant due to the summation of data with all three sub-groups of angler population.
This study is to investigate the concerns about obesity and diet behaviors among 565 middle and high school students in Ulsan. The results indicated that high school students rather than middle school students and girls rather than boys had higher concerns about obesity and diet behaviors. For the socio-economic variables, being female, a high school student, and a group with the least monthly allowance was higher concern about obesity and diet; and household income, educational level and occupation of the fathers also had significant impacts on the student concerns about obesity and diet behaviors. The variables of height, weight, PIBW (Percentage of Ideal Body Weight), and BMI (Body Mass Index) had significant impacts on the concerns about obesity and diet behaviors. Especially, students with normal weight had the highest concerns about obesity and diet, while obese students had the lowest concerns. (J Community Nutrition 7(4): $184\∼192$, 2005)
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