• 응용통계연구
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• 제18권1호
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• pp.173-182
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• 2005

순서를 갖는 범주형자료의 분석을 위한 중요한 통계적 방법인 순위로짓모형의 대안으로 무정보 사전분포에 의한 베이지안 분계점 모형을 정의하고, 실증 자료분석을 통해 베이지안 모형의 유용성을 살펴보았다.

• 한국ITS학회 논문지
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• 제13권2호
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• pp.68-79
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• 2014

본 연구는 고령자의 통행사슬(trip chaining)의 유형별 특성을 살펴보고, 시 공간적 분포 패턴을 분석한다. 또한 순서형프로빗모형(ordered probit model)과 이항로지스틱모형(binary logistic model)을 구축하여 고령자 통행사슬에 영향을 미치는 다양한 요인을 규명하고, 고령자 통행의 수단선택 특성을 분석해 본다. 이를 위해 2006년과 2010년에 실시한 수도권 가구통행실태조사의 고령자 자료를 활용하였다. 분석결과, 고령자 통행사슬은 전반적으로 증가추세이며, 단순통행사슬이 전체의 85% 이상을 차지하는 것으로 나타났다. GIS 맵핑을 통해 통행사슬의 공간적 이동 패턴을 분석하였으며, 단순직장 통행사슬이 과거 서울과 인접지역에 집중되어 있던 반면 2010년에는 경기도 지역으로 점차 확산되고 있음을 알 수 있었다. 또한 모형구축을 통해 2010년에 통행사슬에 영향을 미치는 개인 가구 통행특성이 과거에 비해 상대적으로 많아지고, 통행시간보다는 통행비용이 고령자가 교통수단을 결정하는 요인임을 규명하였다. 본 연구의 결과는 다가오는 초고령사회에 대응한 교통정책을 수립하기 위한 기초자료로 활용될 수 있을 것이다.

• 한국유기농업학회지
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• 제24권3호
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• pp.299-313
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• 2016

This study aims to investigate the present status and factors influencing farmers' satisfaction on the crop insurance for pear. Data analyzed were collected by survey and ordered logistic model was utilized for an empirical analysis. The results demonstrate that producers who are more highly educated and have an experience to receive an educational program related to crop insurance for pear are more likely to satisfy. In addition, it is shown that sales have a negative effect on the satisfaction whereas cultivated areas have a positive relationship with it. Based on the findings, it is necessary to develop a new educational program, strengthen public relations, and support an insurance premium for improving farmers' satisfaction of the insurance for pear.

• 한국주거학회논문집
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• 제26권5호
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• pp.133-141
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• 2015

As an empirical study on Daegu Downtown showing decentralization phenomenon, the purpose of this study is, based on the residential satisfaction research targeting the Downtown residents, to analyze the residential environment satisfaction and residential preference. Considering the parameters of measurement, we used the Ordered Logit Model and Logistic Regression. The results are as follows: First, the comprehensive residential environment satisfaction is relatively lower than that in 2008 and the residential preference in Downtown is similar to that of the past. Second, among the 7 factors that constitute the Downtown residential environment, the house, the landscape, and the security have a relatively large influence on the comprehensive residential environment satisfaction. Third, the residential environment factors which affect those who are hoping continuous Downtown residence are the safety, the house and the complex.

• 대한교통학회지
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• 제31권5호
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• pp.79-88
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• 2013

'교통약자의 이동편의 증진법'이 제정됨에 따라, 각 지자체에서는 교통약자의 이동권을 보장하기 위해 지하철 역사 엘리베이터 설치, 저상버스 공급, 특별교통수단 도입 등의 다양한 노력을 해오고 있다. 그러나, 특별교통수단의 경우 예산의 제약으로 인하여 늘어나는 장애인 교통수요에 대비한 차량의 증차가 미흡한 상태이다. 따라서 본 연구에서는 부산광역시 특별교통수단 '두리발'을 대상으로 특별교통수단 이용실태 및 장애인의 교통수단 선택특성을 고찰하였다. 또한, 일반택시의 요금할인을 통하여 특별교통수단을 이용하는 장애인의 교통수요 분산을 유도하고자, 순서형 로지스틱 모형을 이용하여 요금할인에 따른 일반택시 이용 예측모형을 구축하였다. 본 연구의 결과는 특별교통 수단을 이용하는 교통약자의 이동효율 증진을 촉진할 수 있는 정책의 기초 자료로 사용될 것으로 기대한다.

• Journal of the Korean Data and Information Science Society
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• 제19권3호
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• pp.735-749
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• 2008

This article suggests application of logit model for analysis of multicategory responses. Referring to the reference category, characteristic of each category is obtained from analysis of polytomous logit model. With National Pension data it is illustrated that application of logit model helps it possible to find significant factors which may not be found only with polytomous logit model. Application of the logit model is done by reducing the number of categories. Categories are grouped into the former and the latter group according to reference category. Extra finding of significant factor was possible from logistic regression analysis for the two groups after removing the reference category. It is expected that this application would be helpful for finding information and characteristics on ordered multicategory responses where the proportional odds model does not fit.

• 응용통계연구
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• 제18권3호
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• pp.597-606
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• 2005

대개의 표본조사에서 무응답은 필연적으로 발생되고 있고, 직접 표본조사에 참가하지 않은 데이터의 사용자는 무응답의 원인을 알 수 없는 것이 일반적이므로 데이터 분석에 어려움을 갖는다. 또 대부분의 통계분석 방법은 무응답을 전제하지 않고 있어 무응답이 있는 항목은 데이터 분석의 걸림돌이 된다고 하겠다. 최근 무응답에 대해 대체법이 하나의 표준적인 처리 방법이 되고 있어 현재까지 대체법에 대한 많은 연구가 있었으나 대부분의 대체법은 정규성 등을 가정한 연속형 변수의 대체법에 대한 것이었다. 그러나 표본조사에서 많은 중요한 항목들이 순서 범주에 의해 측정되는 경우가 많으므로 범주형변수의 대체법에 대한 연구가 필요하며, 본 연구에서는 보조변수가 있는 경우 Bayesian 모형에 의한 순서범주형 항목의 대체법에 대해 알아본다.

• Asian Journal for Public Opinion Research
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• 제12권2호
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• pp.75-101
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• 2024

This study investigates the variation in anxiety levels across income classes in the wake of the COVID-19 pandemic in Indonesia. The research is based on data from nationally representative surveys conducted in 2017 and 2021, and it employs a multilevel mixed-effects ordered logistic model. The unique aspect of this investigation lies in its utilization of the Cantril ladder, a commonly employed tool in public opinion research, to gauge anxiety levels. Participants are prompted to assess their present life circumstances concerning their daily worries and anxieties. The empirical findings provide evidence that individuals in provinces with higher exposures to COVID-19 reported heightened anxiety levels. Furthermore, the results highlight a consistent association between higher household income and lower levels of anxiety. Notably, individuals from the highest income group experienced a substantial decline in anxiety levels during the pandemic. When examining specific income classes, the study reveals heightened anxiety among women in higher-income brackets and among lower-income households residing in urban areas. Furthermore, regarding macroeconomic circumstances, the results illustrate a positive correlation between economic prosperity and anxiety levels among members of low-income households. The study also uncovers a positive connection between income inequality and self-assessed anxiety within upper-middle and high-income brackets.

• 농업과학연구
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• 제50권4호
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• pp.927-940
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• 2023

Online shopping has been undergoing significant developments in the South Asian region in the last decade. Using a representative sample of Sri Lankan consumers, this study explored online food purchasing behavior in Sri Lanka, a developing nation and island in South Asia. Data were collected from 562 respondents from all nine provinces in Sri Lanka using an online survey. Consumer attitudes were evaluated using factor analysis, and factor scores were added as explanatory variables to the final model. An ordered logistic regression model was used to examine the impact of consumer demographics, economic variables, and consumer attitudes on online food purchases. Online food purchasing intensity was categorized into four groups that suited ordinal rankings: zero for never, low for rarely, medium for occasionally, and high for regularly. Results indicated that age, income, education, and living in urban areas affect the online food purchasing behavior of Sri Lankan consumers. In addition, trust, convenience, and attitudes toward price were powerful drivers of online food purchasing. The findings have a number of significant managerial ramifications for creating strategies to promote online food purchases in developing South Asian nations like Sri Lanka. Moreover, promoting online shopping could be a potential solution for traffic congestion, ultimately helping to mitigate the negative externalities associated with it, such as carbon emissions and air pollution.

• 국토계획
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• 제54권3호
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• pp.49-62
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• 2019

In order to balance with supply policy, public housing management and operation policies have been implemented in terms of housing welfare, but citizens have not yet achieved the results that the citizens are experiencing. The purpose of this study is to analysis the residential satisfaction of the including the housing performance through the characteristics of the public housing residents in Seoul. The data used in this study is based on the survey data of public housing panel survey in Seoul (2016). The study method used ordered logistic regression analysis based on the fact that dependent variables appeared as ordered responses. Major research results are as follows. Firstly, housing performance and residential satisfaction may not match. Even though the satisfaction of housing area, type, and management fee is high, satisfaction with residential environment is low if commuting distance, the number of small libraries, and hospitals are small. Secondly, it showed different characteristics of residential environment factors among types of public housing. Rather than focusing on supply, customized supply is needed considering characteristics of public housing types. Thirdly, the policy for public housing needs to be realized by a fair policy on the residential environment. It is necessary to contribute to better housing stability as a customized policy considering the local residential environment.