• The Korean Journal of Applied Statistics
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• 제27권1호
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• pp.89-102
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• 2014

In this study, we analyze the effect on the smoking status in the Seoul Metropolitan area using a multilevel logistic model with Community Health Survey data from the Korea Centers for Disease Control and Prevention. Intraclass correlation coefficient (ICC), profiling analysis and two types of predicted value were used to determine the appropriate multilevel analysis level. Sensitivity, specificity, percentage of correctly classified observations (PCC) and ROC curve evaluated model performance. We showed the applicability for multilevel analysis allowed for the possibility that different factors contribute to within group and between group variability using survey data.

• Journal of Korean Society of Transportation
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• 제20권7호
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• pp.79-85
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• 2002

In this paper, multilevel models are adopted to identify interactions among household members in trip making behaviors. The multilevel approach is a proper methodology to handle samples, which are extracted from a hierarchical structure universe. PSTP dataset is used in developing models and understand proportion of variations among individuals and household. The results of this study show that for activity participation and travel behavior household level variance is more than 1/4 of person level variance and therefore not negligible. The results confirm the importance of multilevel model in travel behavior analysis.

• Journal of Korean Society of Transportation
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• 제21권4호
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• pp.145-154
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• 2003

Multilevel and Multivariate Structural Equation Mpdel is applied to handle the hierarchical nature of the data and explain complex relationship among socioeconomic factors of individuals and household, activity participation, and travel behavior using Puset Sound Transportation Panel data. From analysis, variations of individual activity participation and travel behavior can be divided into two categories : Within-household variation and Between-households variation. Empirical results show that the interdependency index(p) of variables for household members within a household is between 0.13 and 0.33 indicating high interdependency. These results suggest that Multilevel and Multivariate SEM approach is an appropriate modeling methodology and gives additional information for activity participation and travel behavior. Also most of personal and household characteristics influence on activity participation and travel behavior within a household as well as between households.

• Proceedings of the Korea Contents Association Conference
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• 한국콘텐츠학회 2013년도 춘계 종합학술대회 논문집
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• pp.225-226
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• 2013

국민건강영양조사 제 4기 1차년도와 2차년도를 대상으로 하여 연구목적을 충족하는 한국 여성을 분석함으로써 집단이라는 지역환경적 요인이 개인적 요인인 유방암 수검률에 미치는 영향을 알아보기 위한 다수준 분석이다.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• 제7권7호
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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 Preventive Medicine and Public Health
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• 제37권3호
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• pp.212-216
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• 2004

• Journal of Korean Academy of Nursing
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• 제46권5호
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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.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2011년도 학술발표회
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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.

• Korean Journal of Social Welfare Studies
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• 제43권1호
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• pp.389-411
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• 2012

A new era of research has focused on examining the growth of change in drinking problems among the elderly. Thus, the purpose of the present study was two fold: (1) to investigate trajectories of drinking problems(CAGE) among the Korean elderly(age$${\geq_-}65$$); and (2) to identify the predicting factors for the intercept and the slope of alcohol problems using multi-level growth curve model. Data come from three waves(1st wave(2006)~3rd wave(2008) of the Korea Welfare Panel(KWP) study. The results indicated that the levels of drinking problems decreased over time and that age, gender, marital status, religion, poverty, self-rated health, and social relationship satisfaction were associated with the baseline CAGE. Further analysis showed that social relationship satisfaction affected the declining slope of drinking problems over time. Specifically, among those who satisfied social relationship, there was a sharp decline of CAGE over time. Overall findings highlight the importance of developing and implementing effective alcohol prevention programs for the elderly in the community settings to mitigate the harmful effects of various psycho-social stressors. Especially, programs to maintain and form healthy social support network are suggested as critical interventions for prevention as well as recovery of alcohol problems in late life.

• Journal of the Korean Data and Information Science Society
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• 제27권2호
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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.