• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.104-115
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• 2016

Objective: This study was conducted in order to investigate the effects of individual patient behavior regarding the health and medical care level on their therapeutic compliance for people diagnosed with high blood pressure by a physician, in order to evaluate the impact of treatment compliance. In this study, the therapeutic compliance was defined as the hypertension drug cure rate. The current blood pressure controls were persons about 30 years of age diagnosed with high blood pressure by their doctor one month fraction of the people who take more than 20 days (30 days). Methods: The data was analyzed by using the X2-test for different comparisons of the therapeutic compliance in the individual characteristics and using a two-stage multilevel logistic regression to identify the community variance of the related index of high blood pressure therapeutic compliance using the data from 229 adults over the age of 19 in a community health survey conducted in 2010. The Spss 18.0 statistical program was used with HLM 7 (hierarchical linear model) Results: It was found that the rate of therapeutic compliance was affected by the individual health behavior and health and medical care levels. Conclusion: In this study, although the odds ratio of the variable region of the high level of health care, I was able Unlike previous studies and focuses on the personal level of variation found variations in the local health care level was a significant. More studies on multilevel analysis are needed in the future considering regional level data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.119-130
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• 2016

This study was conducted to investigate the effects of individual patient behavior regarding health and medical care level on doctor's diagnoses of hypertension. A X2-test was used to compare therapeutic compliance in individual characteristics and two-stage multilevel logistic regression to identify community variance of the related index of high blood pressure therapeutic compliance using data from 229,229 adults over the age of 19 in a community health survey conducted in 2010. The experience rate of doctors' diagnoses of hypertension was higher for people of older age, higher level of education, higher BMI, and among heavy drinkers (no recipients of basic living). Furthermore, there was a higher rate for those visiting health and medical institutions, having more frequent checks of blood pressure in a month, having a higher stress level, and having depression. Among paid workers, the ratio was lower for employers and owner/operators with more daily exercise (such as walking), infrequent smokers, and private health insurance holders. Doctor's diagnoses of hypertension was affected by individual health behavior and health and medical care level. Further studies employing multilevel analyses considering regional level data should be conducted in the future.

• The Journal of Engineering Geology
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• v.32 no.2
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• pp.221-239
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• 2022

Unknown geotechnical characteristics are key challenges in the design of piles for the plant, civil and building works. Although the N-values which were read through the standard penetration test are important, those N-values of the whole area are not likely acquired in common practice. In this study, the N-value is predicted by means of regression analysis with artificial intelligence (AI). Big data is important to improve learning performance of AI, so circular augmentation method is applied to build up the big data at the current study. The optimal model was chosen among applied AI algorithms, such as artificial neural network, decision tree and auto machine learning. To select optimal model among the above three AI algorithms is to minimize the margin of error. To evaluate the method, actual data and predicted data of six performed projects in Poland, Indonesia and Malaysia were compared. As a result of this study, the AI prediction of this method is proven to be reliable. Therefore, it is realized that the geotechnical characteristics of non-boring points were predictable and the optimal arrangement of structure could be achieved utilizing three dimensional N-value distribution map.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.382-395
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• 2016

The purpose of this study is to examine how area characteristics influence the health of a population in a particular area by investigating how area deprivation and social capital influence self-rated health. For this study, a multi-level logistic regression was employed to analyze the data collected by Community Health Survey conducted on a target population of 229,186 living at 253 administrative areas of Korea in 2011. First, an analysis was conducted for subjects who have rated their self-health assessment as 'fair', 'poor', and 'very poor' in a 5 -item response survey. Then, a second analysis was conducted for the same subjects by excluding those with a rating of 'fair'. As a result, we found that area deprivation significantly influenced the population's health, according to our second analysis, while it was not significant according to our first analysis. Moreover, social capital was not significant in both analyses. Area deprivation-although the value of it was not so high-seems to explain the differences of individual self-rated health assessment as a contextual effect. In addition, influence of area characteristics is not limited to certain local areas, but to all local areas of Korea. Therefore, it is suggested that efforts to improve area characteristics are necessary to upgrade the individual's health level. A standardized classification system-distinguishing between good and poor self-rated health-is necessary through further comparative studies on self-rated health assessment.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.21-21
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• 2023

현재 구축되어있는 방재시설의 능력은 기후위기로 인해 수용가능한 극한강우량의 범위를 넘어서고 있어 대형화된 홍수로 인한 피해가 꾸준히 발생하고 있다. 이로 인해 잠재적 홍수로 인한 도시회복도 관리와 홍수로 수반되는 피해에 대한 복구의 중요도가 높아지고 있다. 회복도는 도시의 재해 취약성, 저항, 적응, 복구, 완화에 대한 능력을 포괄하는 개념으로써 최근 주목받고 있는 개념이지만 대부분의 연구는 주로 시설에 대한 회복도 평가가 이루어지고 있다 (Sen et al.,2021). 또한 재해 후 도시복구에 관한 연구는 다수 존재하지만 복구에 따른 지역의 회복도 변화와 라이프라인과 같은 주요 시설의 복구에 따른 회복도 차이를 고려한 연구는 미비한 실정이다. 따라서 본 연구에서는 도시침수 발생 후 라이프라인을 고려한 도시복구 우선순위 산정모델을 개발하고 재해관리의 효율성 향상측면에서 도시의 기능적 회복도를 평가하였다. 이를 위해 라이프라인 중 도로 복구결과의 평가를 위하여 리스크 매트릭스 기법을 이용한 도로위험도평가를 수행하였으며 도시의 회복도를 측정하였다. 회복도를 크게 홍수로부터 도시가 받은 영향과 재해복구역량으로 구성하였으며 정량적인 평가를 위해 각각 손상함수와 재해재난목적예비비를 활용하여 산정하였다. 이후 복구우선순위를 산정하였으며 복구와 도시회복도와의 관계를 분석하기 위하여 재해연보 자료를 기초로 회귀분석을 통해 복구비용을 추정하였다 (유순영 등.,2014). 시범지역에 적용한 결과 시설 및 도로 복구에 따른 도시영향의 변화보다 복구비사용으로 인한 재해복구역량의 변화가 더욱 크다는 것을 확인하였다. 이는 재해재난목적예비비의 중요성이 크다는 것을 의미하며 향후 추가적인 인문학적, 법제적 요소가 회복도에 미치는 영향을 연구한다면 도시회복도 향상 및 도시복구에 관한 정책적 의사결정에 큰 도움이 될 것이다.

• 한국노년학
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• v.39 no.2
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• pp.213-229
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• 2019

The purpose of this study was to examine various factors influencing the needs of Seoul's newly implemented outreach community services for older adults, and to suggest the direction of the outreach community health services in Seoul. A multi-level regression was conducted using data collected by face-to-face interviews from 1,000 individuals aged 65 and 70 in 17 districts, where participated in the Seoul's outreach community services. The results demonstrated that socioeconomic status (higher income and living alone), health status (having multiple chronic conditions and depression, lower health literacy), limited experience of the outreach community services, and low government trust at the individual level were associated with higher unmet need for the community outreach services. In addition, shorter participation period of the outreach services and financial independency at the district level were associated with higher unmet need for the services. The findings from this study implies the need for improving the quality of services by focusing on vulnerable groups such as individuals with lower income and worse health status. In addition, the outreach community health services may need to target individuals aged 66 to increasing efficiency of the services through utilizing results of life-cycle health checkup by the National Health Insurance Corporation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.93-102
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• 2019

This study examined the nurse's emotional exhaustion and influencing factors, and the relationship between emotional burnout and hospital nursing workload using multilevel logistic regression analysis. The study subjects were 3,083 nurses of 65 hospitals, who participated in the training conducted by the Healthcare Industry Trade Union in 2010 and responded to the questionnaire. First, 71.6% of nurses experienced emotional exhaustion, and the average score of emotional exhaustion was 33.53. Second, the 'non - nursing work experience' showed a significant effect on emotional exhaustion. Third, the 'sufficient nursing staff' variable increased the emotional exhaustion. Fourth, the nursing grades were correlated significantly with emotional exhaustion compared to those with more than four beds per nurse. Fifth, in the case of working in the internal ward, the shorter the clinical career, the higher the emotional exhaustion. In other words, higher emotional exhaustion was associated with more nursing work experience, more perceived insufficient nursing staff, more nurses per bed, the department of internal medicine, and a shorter clinical career.

• The Mathematical Education
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• v.60 no.4
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• pp.451-466
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• 2021

The interaction between student and school levels should be considered to understand and examine equity in education. For this reason, we included the socioeconomic composition of schools to scrutinize the equity related to students' socioeconomic status and mathematical literacy in Korea. We applied the hierarchical linear modeling approach to the Programme for International Student Assessment (PISA) 2015 data for binational comparison between Korea (5,548 students from 168 schools) and the U.S. (5,217 students from 161 schools). The findings show that school-level achievement and the socioeconomic composition of schools cannot be ignored to understand Korean students' achievement gap between high and low socioeconomic status. In addition, U.S. students from low socioeconomic status were likely to have similar mathematics literacy scores. These findings indicated that inequity in Korean mathematics education could be intertwined with the characteristics of Korean students like high demands for supplementary private education and school characteristics like curriculum selection. This research also reminds mathematics educators that people should not simply mimic other education systems to resolve education issues in their own system.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.3
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• pp.119-128
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• 2014

One of the theoretically and empirically grounded black boxes in HRD and firm performance link is employee' attitudes such as organizational commitment and job satisfaction. However, most studies were conducted with the regression analysis at the organizational level. This study used HLM(hierarchical linear modeling) analysis, which made it possible to estimate more accurate relationship between variables that were measured from two different levels. In addition, this study attempted to open an the black box(learning culture) in the relationship between HRD and employee attitudes. The result showed that the HRD have a positive effect on the organizational commitment and the job satisfaction. Also the HRD showed full mediation effect of organization commitment and the job satisfaction on the Learning culture. And the result showed that the HRD in 2007 have a positive effect on employee' attitudes in 2009. These findings concluded that systematic HRD like employee's education and training must be built and also the positive culture for employee's learning like support of management's learning organization must be improved in order to promote the organizational performance(organizational commitment, job satisfaction) in company.

• The Korean Journal of Applied Statistics
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• v.35 no.3
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• pp.357-370
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• 2022

In this paper, Tobit and Heckit models are introduced. These models have been used for analyzing censored data. Censoring occurs at a specific point and a large number of observations are distributed with a positive probability at a certain point. Censoring can occur due to observing limitation or exogenous variables. Tobit and Heckit models are used to correct sample selection bias, which can occur when an ordinary linear regression model is fitted to censored data. However, the difference between the two models is not clearly accounted for; hence, they have often been used interchangeably. Therefore, the suitability of the models was validated through simulated data, and demonstrated through real data. As the result, it was confirmed that both Tobit and Heckit models are well-fitted to the data censored due to observing limitation, although Tobit model was fitted parsimoniously. In contrast, only Heckit model is well-fitted to the data censored due to exogenous variables.