• Journal of Korean Academy of Nursing
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• v.46 no.5
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• pp.733-743
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• 2016

Purpose: The purpose of this study was to examine factors influencing new graduate nurse turnover. Methods: This study was carried out as a secondary analysis of data from the 2010 Graduates Occupational Mobility Survey (GOMS). A total of 323 nurses were selected for analysis concerning reasons for turnover. Data were analyzed using descriptive statistics and multilevel survival analysis. Results: About 24.5% of new nurses left their first job within 1 year of starting their jobs. Significant predictors of turnover among new nurse were job status, monthly income, job satisfaction, the number of hospitals in region, and the number of nurses per 100 beds. Conclusion: New graduate nurses are vulnerable to turnover. In order to achieve the best health of the nation, policy approaches and further studies regarding reducing new graduate nurse turnover are needed.

• The Korean Journal of Applied Statistics
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• v.14 no.1
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• pp.81-90
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• 2001

One of the Repeated survey which estimates variability of population, we can be consider rotation sample survey. There are two kinds of rotation sample survey - onelevel rotation sample survey and multi-level rotation sample survey. In rotation sample survey, Composite estimator is used to measure level or level change of the population. This study suggests Generalized Composite estimator as considering intraclass correlation in multi-level rotation sample survey, and optimal weight minimizing variance of estimator. Numerical example shows efficiency of Generalized Composite estimator as considering intraclass correlation according to the sample unit and change degree of intraclass correlation in the rotation group.

• Proceedings of the KHMA Conference
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• 2010.05a
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• pp.326-326
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• 2010

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.499-510
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• 2016

It is very important to select relevant variables in regression models for survival analysis. In this paper, we introduce a penalized variable-selection procedure in multi-level frailty models based on the "frailtyHL" R package (Ha et al., 2012). Here, the estimation procedure of models is based on the penalized hierarchical likelihood, and three penalty functions (LASSO, SCAD and HL) are considered. The proposed methods are illustrated with multi-country/multi-center bladder cancer survival data from the EORTC in Belgium. We compare the results of three variable-selection methods and discuss their advantages and disadvantages. In particular, the results of data analysis showed that the SCAD and HL methods select well important variables than in the LASSO method.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.11
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• pp.1429-1436
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• 2013

This study presents an approach for designing a vehicle rollover prevention controller using differential game theory and multi-level programming. The rollover prevention problem can be modeled as a non-cooperative zero-sum two-player differential game. A controller as an equilibrium solution of the differential game guarantees the worst-case performance against every possible steering input. To obtain an equilibrium solution to the differential game with a small amount of computational effort, a multi-level programming approach with a relaxation procedure is used. To cope with the loss of maneuverability caused by the active suspension, an electronic stability program (ESP) is adopted. Through simulations, the proposed method is shown to be effective in obtaining an equilibrium solution of the differential game.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.7
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• pp.599-608
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• 2017

This study investigated factors that are associated with companion animal ownership among urban elderly persons. This study was based on data from 2014 Seoul Survey, and a total of 4,717 people aged 60 years or older were selected for the analyses. Community level data were from 2014 Seoul statistics and they included park area per person, number of elderly recreational facilities, and number of public sports facilities based on 25 districts of Seoul Metropolitan City. This study examined differences between companion animal owners and non-owners concerning individual level factors and community level factors. Factors that are associated with companion animal ownership were examined using multilevel logistic regression analysis. Among individual level variables, companion animal ownership was associated with gender, marital status, income, number of household members, and housing type. Among community level variables, park area per person was a significant factor that is associated with companion animal ownership. Study findings can be used Based on study findings, implications of the study and directions for future research are discussed.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.197-211
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• 2018

We conducted this research to examine how well regional housing prices are suited to use as an alternative to conventional census-based regional deprivation indices in health and medical geography studies. To examine the relative performance of mean regional housing prices compared to conventional census-based regional deprivation indices, we compared several multilevel logistic regression models, where the first level was individuals and the second was health districts in the Seoul Metropolitan Area (SMA) in Korea, for the sake of adjusting the regional clustering tendency of unknown factors. In these models, we predicted two dichotomous variables that represented individuals' after-lunch tooth brushing behavior and use of dental floss by individual characteristics and regional indices. Then, we compared the relative predictive performance of the models using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The results from the estimations showed that mean regional housing prices and census-based deprivation indices were correlated with the two types of dental health behavior in a statistical sense. The results also revealed that the model with mean regional housing prices showed smaller AIC and BIC compared with other models with conventional census-based deprivation indices. These results imply that it is possible for housing prices summarized using aerial units to be used as an alternative to conventional census-based deprivation indices when the census variables employed cannot properly reflect the characteristics of the aerial units.

• Korean Journal of Clinical Pharmacy
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• v.22 no.1
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• pp.13-20
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• 2012

서론: 주사제 사용을 줄이기 위한 정책의 일환으로 건강보험심사평가원은 의료기관별 주사제 처방률을 통보하고 있으나, 여전히 주사제 처방은 높은 실정이다. 따라서 본 연구에서는 주사제에 대한 환자의 인식수준을 살펴보고, 환자의 주사제 요청에 영향을 미치는 요인을 파악하고자 하였다. 연구방법: 본 연구는 최근 6개월 이내에 병의원을 방문한 전국의 20세 이상의 남녀를 대상으로 전화조사한 단면설계 연구다. 환자의 일반적 특성과 주사제에 대한 태도, 인식을 조사하였고, 환자가 주사제를 요청하는데 영향을 미치는 특성을 규명하기 위해 일반적 특성(성, 연령, 결혼여부, 보험형태, 지역규모, 질환, 교육, 소득 등), 주사제에 대한 인식, 태도를 독립변수로 하고, 주사제 처방 요청여부를 종속변수로 하며, 16개 행정지역을 무작위 효과로 층화한 다수 준 분석을 실시하였다.결과: 연구대상에 포함된 응답자는 997명이었고(응답률 82.2%), 응답자 중 24%가 병의원 방문 당시 주사제를 요구했다고 응답했고, 58%가 한번 이상 주사제를 맞은 경험이 있다고 보고했다. 92%가 주사제에 대해 잘못된 인식을 갖고 있었고, 15%는 의사가 부적절하게 주사제를 처방한다고 응답했다. 다수준 로지스틱 회귀분석 결과, 남성의 경우(Odds ratio(OR) 0.71, 95% confidence interval(CI) 0.52-0.99), 고졸이상자(OR 0.63, 95% CI 0.41-0.96), 기혼자(OR 1.72, 95% CI 1.01-2.92)가 주사제를 더 요구하는 것으로 나타났고, 대도시에 비해 농촌지역 환자가(OR 2.12, 95% CI 1.24-3.63), 호흡기계 질환으로 방문한 경우(OR 1.48, 95% CI 1.03-2.12), 주사제를 처방하면 경구제에 비해 신뢰감이 생긴다는 응답자의 경우(OR 1.91, 95% CI 1.33-2.73) 주사제를 더 요구하는 것으로 나타났다. 결론: 본 연구결과 여성, 기혼자, 농촌 거주자, 호흡기계 질환으로 방문한 환자의 경우와 주사를 맞으면 신뢰감이 생긴다는 잘못된 태도를 가진 환자가 주사제를 요구하는 것으로 나타났고, 이러한 환자특성을 고려하여 주사제 사용을 감소시키기 위한 정책을 실시하는 것이 필요하겠다.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.195-195
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• 2011

국가하천의 주변지역을 체계적이고 계획적으로 조성 이용하여 난개발을 방지하고 지속가능한 발전을 도모하며, 그에 따른 이익을 하천의 정비 및 관리 등에 활용함으로써 공공복리의 증진에 기여함을 목적으로 하는 친수구역활용에 관한 특별법이 곧 시행될 예정이다. 친수는 단순히 하천 보전과 상대되는 수변이용의 측면이 아니라 하천의 경관, 생태계, 물 등 전체적인 하천공간에서 이루어지는 인간의 활동과 심리적 만족감으로 해석할 수 있다. 이러한 친수활동 유형을 정립하기 위하여 전문가 및 실무자들의 도움으로 설문지를 작성하고, 조사하였다. 또한 평가 항목간의 중요도를 합리적으로 부여하고자 전문가 집단 활용을 통한 다기준의사결정 기법 중 계층분석과정 AHP(Analytic Hierarchy Process)와 이의 일반적인 형태인 ANP(Analytic Network Process) 기법을 이용하여 비교 분석하여 보았다. AHP는 의사결정의 목표 또는 평가기준이 다수이며 복합적인 경우, 다수의 속성들을 계층적으로 분류하여 각 속성의 중요도를 파악함으로써 최적 대안을 선정하는 기법으로 다수의 목표, 다수의 평가기준, 다수의 의사결정주체가 포함되어 있는 의사결정 문제를 계층화하여 해결한다. 그러나 의사결정 문제는 대부분 요소들 간의 수평적 상호작용과 수직종속성이 존재하기 때문에 단순히 계층적 구조만으로는 설명할 수 없는 경우가 있다. ANP는 AHP 분석을 확장한 개념으로 평가 요소가 계층구조를 가지고 있으면서 각 평가 요소간 네트워크 구조를 가지는 경우에 해당한다. 즉, 시스템 분석, 통합 및 조정을 위한 방법으로 요소들 간의 비선형 관계를 모델화하는 복잡한 의사결정에 적용이 가능하다. ANP는 AHP의 기본 공리인 독립성이 유지되지 않을 때도 적용할 수 있는 의사결정 방법이기 때문이다. AHP와 ANP 분석을 위해 평가기준은 하천특성, 생태환경특성, 인문환경특성, 경관, 유지관리 등으로 분류하였으며, 세부평가항목은 하천의 물리 생태학적 특성, 개발여건과 관련된 특성, 경관의 이용가치, 유지관리 용이성 등 20여 개로 나누었다. AHP와 ANP를 이용하여 친수공간 이용지수 가중치를 산정한 결과, 두 기법은 큰 차이를 보이지 않았다. 그러나 ANP를 이용하여 가중치를 결정하는 방법은 최종 결정의 공정성이나 신뢰성을 확보하는데 기여를 하는 것으로 나타났다.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.3
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• pp.306-310
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• 2008

Since the preference for information recommendation service can change according to the context, we should know the user context before providing information recommendation. This paper proposes recommender system that considers multi-user preference in mobile environment and attempted to apply it to restaurant recommendation. To model the preference of individual users in mobile environment, we have used Bayesian network, and restaurant recommendation mostly should consider not an individual user but several users, so this paper has used AHP of multi-criteria decision making process to obtain the preference of several users based on one of individual users. For experiments, we conducted recommendation in 10 different situations, and finally, we confirmed that the proposed system was evaluated as a good one using a usability test of SUS.