• Journal of Families and Better Life
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• v.29 no.5
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• pp.85-105
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• 2011

The purpose of this study was to investigate the variables on adolescents' perception of parents and children's relationship. Independent variables were the expectation of the parents' role, role performance by adolescents' perception and socio-demographic variables. In order to achieve this purpose, the survey was taken by 758 adolescents (middle & high school students) from Daegu. The data were analyzed by frequency, percentage, mean, Factor Analysis, Cronbach's ${\alpha}$, Pearson's correlation coefficient, Multivariate Analysis of Variance, Scheffe test for post hoc, and Multiple Regression. The major findings were: 1) Role expectation had significant differences in the grade, gender, birth order, father's level of education, father's job, mother's age, and household economy of socio-demographic variables. Role performance showed significant differences in the grade, gender, father's age, parents' level of education, father's job, and household economy of socio-demographic variables. 2) Adolescents' perception of parents and children's relationship was affected by role expectation and role performance.

• Journal of Korean Academy of Nursing
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• v.35 no.8
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• pp.1433-1442
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• 2005

Purpose. The purposes of this study were 1) to examine the differences in suicidal ideation and psychological variables by gender, 2) compare the contribution of demographic-behavioral variables and psychosocial variables in explaining the variance in suicidal ideation, and 3) identify the most important predictors of suicidal ideation for male adolescents and female adolescents. Methods. The subjects consisted of 271 male adolescents and 230 female adolescents. Data were collected through self-report questionnaires, which were constructed to include SSI-C, DEP subscale of the SCL-90-R, PACI, and SWLS. The data were analyzed by the SPSS/WIN program. Results. Suicidal ideation differed by gender. Depression and family communication differed by gender. The unique contribution of demographic-behavioral variables and psychosocial variables in explaining the variance in suicidal ideation differed between male adolescents and female adolescents. The significant predictors of suicidal ideation for male adolescents were life satisfaction, depression, and family communication, explaining $28\%$ of the variance in suicidal ideation. The significant predictors of suicidal ideation for female adolescents were depression, smoking, and life satisfaction, explaining $38\%$ of the variance in suicidal ideation. Conclusion. The findings of this study suggest that the approach to effective suicide prevention program for adolescents should consider gender differences.

• Korean Journal of Human Ecology
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• v.11 no.1
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• pp.31-43
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• 2002

The purpose of this study was to examine the financial status of the small business households, and to analyze their investment behaviors according to socio-economic variables like age, income, education, job satisfaction, and region. The size of total sample was 2167 with basis of data analysis of Korean Household Panel Study from Daewoo Economic Research Center. Descriptive Statistics were used to analyze their financial status according to the socio-economic variables. The results showed that small business family's financial status was differentiated according to age, income, job satisfaction, and region. Households' investment on the primary financial institute such as bank was differentiated by income, level of education, and job satisfaction. The amount of investment on secondary financial institute such as mutual fund was differentiated by income, age, and region. The households' investment for insurance was affected by all socio-economic variables except region and not significantly different according to socio-economic variables for stock and bonds. The amount of net-asset for households was affected by the level of education, age, and income and the amount of debt most by age and income. The results of this study was useful to develop the estimation tool for the small business households credit and also provides the basic informations for the financial assistance of those households.

• Journal of Families and Better Life
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• v.9 no.2
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• pp.267-284
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• 1991

The Purpose of this study is to explain marital power processes perceived by Korean urban husbands. To do the task, this study examined the possibility of classifying the power processes and the effect of resources by using resource theory and normative resource theory . The main results were as follows. 1) Power precesses are classified into five factors, such as, 'induction'. 'isolation' quarreling' 'carelessness' and 'withdrawal of love'. Induction, which makes control attempts by using verbal, indirect communication strategies, is proved to be the most factor. 2) Power resource variables are proved to be significant in their effects on the power processes. That is, objective are proved to be significant in their effects on the power processes. That is , objective resources are influencing on 'induction' and 'isolation' behavior and subjective variables are influencing on the other control attempts, Thus, it is found that including subjective variables as well as objective ones is very important. Above all, that the concept of the centrality of patriarchy is supported to be an appropriate concept for the study on the marital power processes i8s a fruitful result in research. But the variances explained by resource variables are relatively small. It is suggested. therefore, further study should include more significant subjective resource variables.

• Women's Health Nursing
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• v.7 no.4
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• pp.508-517
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• 2001

The purposes of this study are to investigate marital satisfaction according to demographic characteristic, division of household labor, and awareness of gender discrimination, and to explore influences of demographic and other variables on marital satisfaction. Social statistics survey data which collected in 1998 by ministry of statistics were used for secondary analysis of this study. Marital satisfaction was measured by questionnaire which was consisted in 7 items, including satisfaction with general family life, relationship with their own parent and parent-in-law, relationship with brothers and sisters, relationship with their children, and economic living status. These are measured by 5-point Likert scale. Independent variables are age, education, employment status, having their own house or not, No. of children under school age, parents living or not, perception of sexual discrimination, and division of household labor. The findings of this study show that there are significant differences of marital satisfaction by all independents variables, and all independent variables except employment have significant influences on marital satisfaction. People who are younger, received higher education, have their own house, have more children under schoolage and whose parent are living in the world, show higher marital satisfaction. The more husbands participate to household labor, the better marital satisfaction. In case of perception of sexual discrimination, main effect is not significant, but interaction effect with age is significant. Interaction effect between age and education is also significant. 32.52% of the variance in marital satisfaction were accounted for by these variables.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.2
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• pp.223-235
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• 2001

The Purpose of this study was to identify the relationship between leadership style of nurse managers and related variables and to provide the basic data for developing strategies of transformational, transactional leadership study. The subjects were 300 nurses and 10 head nurses were working at the 2 general hospitals in seoul. The data were collected from July 6 to July 14, 2001 by the structured questionnaires. For data analysis, descriptive statistics, Pearson correlation coefficient, and stepwise multiple regression with SAS package were used. The results of this study were as follows : 1. The score of the nurse managers' transformational leadership perceived by surbodinates' were higher than that of the nurse managers' transactional leadership. Among 5 subdimensions of the leadership styles perceived by surbodinates', the scores of 'charisma' and 'intellectual stimulation' were highest and 'management by exception' were lowest. 2. 'charisma' 'intellectual stimulation', 'individual consideration' and 'contingent reward' were positively related to all of variables except 'turnover intention'. 'Management by exception' was negatively related to all of variables and was positively related to 'turnover intention'. 3. As a result of regression analysis, leadership styles effect on 'leadership effectiveness', 'turnover intention', 'job satisfaction', 'empowerment', 'organizational commitment', 'autonomy', 'job involvement' in turn. The determinants of 'job satisfaction', 'autonomy', 'leadership effectiveness' were 'charisma' of transformational leadership and the determinants of 'organizational commitment', 'job involvement', 'empowerment' were 'intellectual stimulation' of transformational leadership.

• Health Policy and Management
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• v.11 no.2
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• pp.123-140
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• 2001

Hypotheses In health services research are becoming increasingly more complex and specific. As a result, health services research studies often include multiple independent, intervening, and dependent variables in a single hypothesis. Nevertheless, the statistical models adopted by health services researchers have failed to keep pace with the increasing complexity and specificity of hypotheses and research designs. This article introduces a statistical model well suited for complex and specific hypotheses tests in health services research studies. The covariance structure modeling(CSM) methodology is especially applied to regional relevance indices(RIs) to assess the impact of health resources and healthcare utilization. Data on secondary statistics and health insurance claims were collected by each catchment area. The model for RI was justified by direct and indirect effects of three latent variables measured by seven observed variables, using ten structural equations. The resulting structural model revealed significant direct effects of the structure of health resources but indirect effects of the quantity on RIs, and explained 82% of correlation matrix of measurement variables. Two variables, the number of beds and the portion of specialists among medical doctors, became to have significant effects on RIs by being analyzed using the CSM methodology, while they were insignificant in the regression model. Recommendations for the CSM methodology on health service research data are provided.

• Journal of the Korean Institute of Landscape Architecture
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• v.18 no.4
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• pp.127-140
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• 1991

The Primary purpose of this study is to investigate factors and variables which have significant effects on user satisfaction with recreational facilities in Taejong-Dae recreational complex, thereby establishing indices of planning and development of urban parks and open space. To test the causal models of this research, the date were gathered by self-administered questionnaires from 967 households in Pusan City which were selected by the multi-stage probability sampling methood. The analysis of the multi-stage primarily consists of two phase : The first analysis dealt exploratory factor analysis which identified major factors involved in satisfaction with recreational activities and facilities in Taejong-Dae recreational complex and the second analysis tested the fit of the causal models of this research by employing LISREL methodology. There are three advantages of using LISREL over other multivariate analysis methods : First, measurement error is allowed and calculated in LISREL, otherwise there is a risk of seriously misleading estimates of coefficients ; Second, LISREL deals with latent variables or unmeasured variables ; Third, it enables to test causal relations among variables. The factors analysis identified that five factors are involved in satisfaction with recreational facilities. The five factors of satisfaction with recreational facilities are space for repose and relaxation, active recreation facilities such as pool and zoo, physical exercise facility, convenience and maintenance facility, and linear facility, and linear facility for walking. The second phase analysis tested the fit of the causal models for satisfaction with recreational facilities to the data and identified statistically significant causal linkage among overall satisfaction with Taejong-Dae recreational complex, other endogenous factors and exogenous variables. Overall fits of both causal models were very good. Among endogenous factors, facility for repose and relaxation. linear facility for walking, active recreation facility, facility for convenience and maintenance were identified as having significant effects on overall satisfaction. Exogenous variables which have significant effects on endogenous variables wer also identified. These significant relationships indicate important factors and variables that should be considered in planning and development of the recreational complex. On the basis of these significant causal relationships, implications for planning and the delovepment of Taejong-Dae recreational complex were suggested.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.123-129
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• 2016

In the manufacturing industry fields, thousands of quality characteristics are measured in a day because the systems of process have been automated through the development of computer and improvement of techniques. Also, the process has been monitored in database in real time. Particularly, the data in the design step of the process have contributed to the product that customers have required through getting useful information from the data and reflecting them to the design of product. In this study, first, characteristics and variables affecting to them in the data of the design step of the process were analyzed by decision tree to find out the relation between explanatory and target variables. Second, the tolerance of continuous variables influencing on the target variable primarily was shown by the application of algorithm of decision tree, C4.5. Finally, the target variable, loss, was calculated by a loss function of Taguchi and analyzed. In this paper, the general method that the value of continuous explanatory variables has been used intactly not to be transformed to the discrete value and new method that the value of continuous explanatory variables was divided into 3 categories were compared. As a result, first, the tolerance obtained from the new method was more effective in decreasing the target variable, loss, than general method. In addition, the tolerance levels for the continuous explanatory variables to be chosen of the major variables were calculated. In further research, a systematic method using decision tree of data mining needs to be developed in order to categorize continuous variables under various scenarios of loss function.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.129-136
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• 2017

Among the information technology and automation that have rapidly developed in the manufacturing industries recently, tens of thousands of quality variables are estimated and categorized in database every day. The former existing statistical methods, or variable selection and interpretation by experts, place limits on proper judgment. Accordingly, various data mining methods, including decision tree analysis, have been developed in recent years. Cart and C5.0 are representative algorithms for decision tree analysis, but these algorithms have limits in defining the tolerance of continuous explanatory variables. Also, target variables are restricted by the information that indicates only the quality of the products like the rate of defective products. Therefore it is essential to develop an algorithm that improves upon Cart and C5.0 and allows access to new quality information such as loss cost. In this study, a new algorithm was developed not only to find the major variables which minimize the target variable, loss cost, but also to overcome the limits of Cart and C5.0. The new algorithm is one that defines tolerance of variables systematically by adopting 3 categories of the continuous explanatory variables. The characteristics of larger-the-better was presumed in the environment of programming R to compare the performance among the new algorithm and existing ones, and 10 simulations were performed with 1,000 data sets for each variable. The performance of the new algorithm was verified through a mean test of loss cost. As a result of the verification show, the new algorithm found that the tolerance of continuous explanatory variables lowered loss cost more than existing ones in the larger is better characteristics. In a conclusion, the new algorithm could be used to find the tolerance of continuous explanatory variables to minimize the loss in the process taking into account the loss cost of the products.