• Journal of Family Resource Management and Policy Review
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• v.18 no.2
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• pp.55-73
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• 2014

The purpose of this study is to examine the level of conspicuous consumption and resource-saving behavior in primary school students, and to discover the factors that influence these behaviors most strongly. The research was conducted in 2011 using a written questionnaires that were completed by 500 primary school students residing in Seoul, South Korea. The data was analyzed using statistical methods, including frequency, percentiles, means, standard deviation, Cronbach's coefficient, ANOVA, and hierarchical multiple linear regression analysis, using SPSS 18.0. As a result of these analyses, the average level of conspicuous consumption was found to be 2.65 relatively rational score. Next, it was shown that the conspicuous consumption of respondents differed significantly based on variables, such as allowances, family income, socialization process in childhood, family cohesion, and parental child rearing method. Finally, the greatest influences on respondent's resource-saving behavior was seen to be the child's socialization process in childhood, family cohesion, parental child rearing method, and conspicuous consumption. These variables must therefore all be considered when teaching primary school students and encouraging them to assume rational resource-saving habits in their daily lives.

• Korea Journal of Hospital Management
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• v.22 no.3
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• pp.46-60
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• 2017

The purpose of this study is to analyze the difference of productivity according to environmental factors among 25 Regional base public hospitals. Also this study is to propose a method to improve the productivity of Regional base public hospitals in the future by improving the public performance and stable management performance by studying the productivity variables affecting profitability. The survey period was based on the last three years, and 25 Regional base public hospitals were selected for the survey. The dependent variable is the total capital medical marginal profitability and the medical profit marginal profitability which are the indicators of profitability. The independent variable, productivity, is classified into three indicators: capital productivity, labor productivity, and value added productivity. The ANOVA analysis method was used to analyze the productivity difference according to the frequency factor and the environmental factors of the Regional base public hospitals. Finally, we conducted a hierarchical regression analysis to examine the productivity variables affecting profitability. The results of this study showed that there were differences in productivity due to environmental factors such as hospital size, competition in the local medical market, and differences in management performance. The difference in productivity and profitability depending on the environmental factors suggests that it is difficult for Regional base public hospitals in each regional base to perform a balanced public service. In order to overcome this, it is necessary to provide balanced medical services such as government financial support expansion, regional medical demand forecasting and facility infrastructure construction.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.3
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• pp.56-63
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• 2015

Several fields of science have demanded large-scale workflow support, which requires thousands of CPU cores or more. In order to support such large-scale scientific workflows, high capacity parallel systems such as supercomputers are widely used. In order to increase the utilization of these systems, most schedulers use backfilling policy: Small jobs are moved ahead to fill in holes in the schedule when large jobs do not delay. Since an estimate of the runtime is necessary for backfilling, most parallel systems use user's estimated runtime. However, it is found to be extremely inaccurate because users overestimate their jobs. Therefore, in this paper, we propose a novel system for the runtime prediction based on workload-aware clustering with the goal of improving prediction performance. The proposed method for runtime prediction of parallel applications consists of three main phases. First, a feature selection based on factor analysis is performed to identify important input features. Then, it performs a clustering analysis of history data based on self-organizing map which is followed by hierarchical clustering for finding the clustering boundaries from the weight vectors. Finally, prediction models are constructed using support vector regression with the clustered workload data. Multiple prediction models for each clustered data pattern can reduce the error rate compared with a single model for the whole data pattern. In the experiments, we use workload logs on parallel systems (i.e., iPSC, LANL-CM5, SDSC-Par95, SDSC-Par96, and CTC-SP2) to evaluate the effectiveness of our approach. Comparing with other techniques, experimental results show that the proposed method improves the accuracy up to 69.08%.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.411-425
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• 2021

Accelerated failure time (AFT) model represents a linear relationship between the log-survival time and covariates. We are interested in the inference of covariate's effect affecting the variation of survival times in the AFT model. Thus, we need to model the variance as well as the mean of survival times. We call the resulting model mean and variance AFT (MV-AFT) model. In this paper, we propose a variable selection procedure of regression parameters of mean and variance in MV-AFT model using penalized likelihood function. For the variable selection, we study four penalty functions, i.e. least absolute shrinkage and selection operator (LASSO), adaptive lasso (ALASSO), smoothly clipped absolute deviation (SCAD) and hierarchical likelihood (HL). With this procedure we can select important covariates and estimate the regression parameters at the same time. The performance of the proposed method is evaluated using simulation studies. The proposed method is illustrated with a clinical example dataset.

• Convergence Security Journal
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• v.14 no.6_2
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• pp.63-72
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• 2014

The purpose of this study is to investigate the relationship between organizational culture, job characteristics and job continuance will among police officers. This study targets the police officers dispatched in the Seoul metropolitan area in 2012, and it uses judgment sampling method to analyze 187 samples. This study conducted the statistical analysis, including frequency analysis, factor analysis, reliability analysis and multiple regression analysis, by using SPSS WIN 18.0. The result is as follows. First, the organizational culture among police officers has effects on job characteristics. That is, the feedback increases as the organizational culture becomes more mutual development- or agreement-oriented, or as it becomes more hierarchical; on the other hand, the job importance increases as more hierarchical and rational a culture becomes. Also, self-determination increases as an organization becomes more mutual development- or agreement-oriented. Second, the organizational culture among police officers has effects on the job continuance will. That is, the expected satisfaction increases but intentional insincerity decreases as the organizational culture becomes more mutual development- or agreement-oriented. Also, risk-perceiving behavior increases as an organizational culture becomes more hierarchical. Third, police officers' job characteristics have effects on the job continuance will. That is, the feedback and job importance increases the expected satisfaction while reducing functional diversity. The feedback also reduces the contraction factor. The job importance increases intentional insincerity while reducing functional diversity. The functional diversity not only increase alternative expectation but also increases risk-perceiving factors.

• The Korean Journal of Applied Statistics
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• v.35 no.4
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• pp.553-568
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• 2022

The Household Income and Expenditure Survey is a representative survey of Statistics Korea, which aims to measure and analyze national income and consumption levels and their changes by understanding the current state of household balances. Recently, the disconnection problem in these time series caused by the large-scale reorganization of the survey methods in 2017 and 2019 has become an issue. In this study, we model the characteristics of the time series in the Household Income and Expenditure Survey up to 2016, and use the modeling to compute forecasts for linking the expenditures in 2017 and 2018. In order to evenly reflect the characteristics across all expenditure item series and to reduce the impact of a specific forecast model, we synthesize a total of 8 models such as regression models, time series models, and machine learning techniques. In particular, the noteworthy aspect of this study is that it improves the forecast by using the optimal combination technique that can exactly reflect the hierarchical structure of the Household Income and Expenditure Survey without loss of information as in the top-down or bottom-up methods. As a result of applying the proposed method to forecast expenditure series from 2017 to 2019, it contributed to the recovery of time series linkage and improved the forecast. In addition, it was confirmed that the hierarchical time series forecasts by the optimal combination method make linkage results closer to the actual survey series.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.85-95
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• 2019

Establishing nursing professionalism is important for providing quality nursing care in various clinical settings and adapting to changing roles in a range of situations. The aim of this study was to identify the influence of volunteer activities and sense of community on nursing professionalism for nursing students. A convenience sampling method of 160 students in a nursing department of university in D city was used in June 2019. Data were analyzed using a t-test, ANOVA, Pearson's Correlation Coefficients, and hierarchical multiple regression analysis. The results of this study were as follows. The nursing professionalism score was above the middle level and differed according to the volunteer motivation and activity continuity significantly. Satisfaction with volunteer activities had a significant positive correlation with a sense of community (r=.47, p<.001), and nursing professionalism had a significant positive correlation with the satisfaction with volunteer activities (r=.51, p<.001). The factors affecting nursing professionalism were a sense of community (p<.001) and satisfaction with volunteer activities (p<.001); this model could explain 37.9% (F=20.38, p<.001). Therefore, nursing students are encouraged to participate voluntarily in a range of activities linked to their field, nurture a sense of community, and develop nursing education programs that help build pride as a nurse and establish nursing professionalism.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.485-494
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• 2020

Club activities play an important role for college students in adapting to their college life. This study was therefore undertaken to investigate the effects of club activities on the communication skills and self-leadership of nursing students. Convenience sampling method was applied for 147 students enrolled in the nursing department of university in D city, of which 119 subjects participated in club activities. Data was collected from October 15 to November 30, 2019, and analyzed by applying 𝑥² test, t-test, and hierarchical multiple regression analysis, using the IBM SPSS/WIN 22.0 program. Results: Communication skill and self-leadership were above the middle level. Depending on the club activities, significant differences were obtained for grade (𝑥²=8.07, p=0.045), major satisfaction (𝑥²=8.26, p=0.010), and communication skill and behavior-focused strategies (t=4.48, p=0.036). Factors affecting communication skill were behavior-focused strategies, constructive thought pattern strategies, and activeness amongst club activities. Therefore, the numerous club activity experiences of subjects helped improve the communication skill which, in turn, helps improve self-leadership. Our study indicates the necessity to seek an educational strategy that encourages active club activities of nursing students, for improving the core competencies of professional nurses, encompassing communication skills and self-leadership.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.318-329
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• 2017

This study examined the physical self-concept and self-efficacy of undergraduates. Using the convenience sampling method of non-provability sampling, a total of 377 undergraduates from North Kyongsang Province G city were selected. Of the 377 completed questionnairescollected, a total of 354 surveys with structural equation modeling were analyzed using theSPSS 22.0 statistics program. The self-esteem, endurance, health, and flexibility factors have positive effects on improvingthe self-control efficacy factor of self-efficacy in the order of physical self-concept factors. On the other hand,the higher university students perceive that among the physical self-concepts, the physical activity factor had more negative effects on the self-regulated efficacy. The self-esteem, health, and muscle strength have positive effects on improvingthe confidence factor of self-efficacy in the order of physical self-concept factors. The more perceptive endurance than the appearance, sports competence, body fat, health, self-esteem, flexibility, muscle strength of physical self-concept, and the more influence on self-efficacy. Overall, the higher the perception of physical activity factors among the physical self-concept factors, the more negative effects on the task difficult preference.

• Korean Journal of Health Education and Promotion
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• v.28 no.1
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• pp.103-113
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• 2011

Objective: This study was conducted to investigate the relationship between the degree of stress and social support among residents in a rural area. Methods: We used the baseline data of the Korean Genomic Rural Cohort (KGRC), a sub-cohort of the Korean Genome Epidemiology Study (KOGES) that collected data about relationships among environmental, genetic risk factors, and chronic illness in Korean adults since November 2005. The cases chosen for the study included 1737 men and women, aged 40 to 70, living in a rural area of Wonju-city, South Korea. A questionnaire interviewing method was addressed in 2006. The final participants consisted of 1349 participants, of which 589 were male (43.7%) and 760 were female (56.3%). We applied the hierarchical multiple regression analysis with three stages. The first and second stages include socio-demographic and health-related behaviour factors and the third stage includes more social support factors. Results: The main findings revealed that the amount of social support and health-related behaviour significantly influenced the level of stress the subjects reported. The degree of stress was shown to be significantly higher for the following individuals: females, those who were divorced, the bereaved, participants who suffer from chronic disease, and non-exercisers. Low social support was shown to be negatively associated with stress. Conclusion: Social support factors along with socio-demographic and health-related behavior had an influence on stress levels in Korean rural adults. It is necessary to relieve residents from stress through diverse social support programs and healthy living initiatives.