• The Korean Journal of Applied Statistics
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• v.18 no.1
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• pp.173-182
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• 2005

A Bayesian threshold model is considered to analyze binary or ordered categorical traits. Gibbs sampler for making full Bayesian inferences about the category probability as well as the regression coefficients is described. The model can be regarded as an alternative to the ordered logit regression model. Numerical examples are shown to demonstrate the efficiency of the model.

• The Korean Journal of Applied Statistics
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• v.18 no.3
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• pp.597-606
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• 2005

The nonresponse in sample survey causes a problem when it comes time to analyze dataset in public-use files where the user has only complete-data methods available and has limited information about the reasons for nonresponse. Recently imputation for nonresponse is becoming a standard approach for handling nonresponse and various imputation methods have been devised . However, most imputation methods concern with continuous traits while many interesting features are measured by binary or ordered categorical scales in sample survey. In this note. an imputation method for ignorable nonresponse in binary or ordered categorical traits is considered.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.119-130
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• 2020

The proportion of non-farm income among farm household income is over 40%, with the main source coming from the sixth industry. While it is important to understand consumers' preferences to revitalize the sixth industry, the majority of research is focused on producers. Therefore, this study used an Ordered Logit Model to analyze consumer awareness and satisfaction with the 6th industry. As a result, first, the analysis showed that awareness of the sixth industry was generally low, and that the perceptions of gender and regions were different. Second, there were various ways to learn about the sixth industry through media reports, portal searches, and SNS. Third, factors affecting the recognition of the sixth industry were shown to have statistically significant effects on demographic and sociological variables such as age, marriage type, occupation, residential area, and income. This study is the first to analyze the awareness and satisfaction of the sixth industry from the consumer's point of view focusing on its revitalization.

• The Korean Journal of Applied Statistics
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• v.21 no.4
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• pp.589-602
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• 2008

This article studies on disability pensioners' characteristic with multinomial logit and logistic regression model. Seven factors are examined on whether each factor is reflected in degree of disability in the disability pension. By incorporating multinomial logit and logistic regression model, effectiveness and characteristic of the seven factors are investigated on the degree of disability. Result shows all the seven factors are significant on the degree of disability, while among the seven, five factors, age, sex, type of coverage, type of category, insured duration show a trend in degree of disability and the other two, cause of disability and class of standard monthly income are not effective on trend in degree of disability. Results from analyses might be useful for disability pension management.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.841-851
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• 2019

This study presents risk ranking by accident types at intersections, crosswalk and tunnel sections. An ordered logit model was used to estimate the accident severity of traffic accidents based on 58,868 accident records that have occurred on the Seoul and Gyeonggi-do over the period 2014-2017. The factors affecting the injury severity were identified by the estimated model first, and risk ranking was proposed according to conditions of accident occurrence using relative ratio analysis later. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. Furthermore, there are severe injury cases in terms of the injury severity despite the small number of occurrence of traffic accident, or there are severe injury cases in terms of the injury severity despite the high frequency of occurrence of traffic accident.

• Journal of Korean Society of Rural Planning
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• v.13 no.4
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• pp.53-67
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• 2007

This study analyzed the probability that experiment stations, agricultural technology and extension centers, provincial agricultural research and extension services, central government organs, or civilian and other related organs will be the first choice of the compositional subjects of local innovation networks. While gender effect was statistically insignificant, educational level, income, main acquired information, sources of necessary information, and frequency of information acquisition sessions were significant, and the preference ranking model was highly relevant. According to the analysis, highly academic and business-related information was most likely to be acquired from the civilian sector; agricultural technology such as technology, crops/plants, storage, and circulation was most likely to be acquired from experiment stations and provincial agricultural research and extension services; and information on agricultural production was most likely to be acquired from agricultural technology centers.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.5
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• pp.891-903
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• 2017

In recent days, school violence has been rising as a significant social problem. The occurrence of school violence can be fueled by a wide range of social and environmental contexts, thus it is very difficult to come up with the ultimate solution. Community CPTED program is one of the more comprehensive set of efforts that has been developed to prevent crime in general, and the primary focus of the study is to investigate suitable components of CPTED to prevent school violence based on the physical conditions of communities as well as the perception of residents outside of school grounds, in the vicinity of schools. Three sets of analyses in series were employed in the research. First, Ward's minimum-variance cluster analysis was used to classify the places where school violence can occur outside of school grounds based on the physical conditions recognized by local residents. Next, Importance-Performance Analysis was performed to analyze the perception of local residents about the importance and the effectiveness of CPTED components in preventing school violence. Subsequently, Ordered Logit Model was used to analyze the local residents' awareness on safety regarding school violence in their community space. Combining the results of the analyses, the priority of the community CPTED applications to prevent school violence outside of school was derived. Reflecting the local residents' perception on safety of students in their community, the sense of security in communities against school violence can be reinforced by the communities' sensible efforts in creating safer environment for their students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4877-4883
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• 2012

As a basic research for revitalization of cycling that is emerging as a means of green transportation, this study aims to analyze the impact of neighbourhood environmental factor perceived by the local residents on cycling satisfaction as the concern for energy and environmental issues is increasing. For this, a survey was conducted through a questionnaire to the residents in Sangju-si and the impact of the perceived neighbourhood environmental factor to cycling satisfaction with ordered logit model was analyzed. The result showed that the factors such as quality of bicycle lane, quality of bicycle conveniences, accessibility of major conveniences, safety of cycling and amenity of street made a significant impact on cycling satisfaction. Based on such result, this study suggested the considerations to be made in designing a cycling environment.

• Journal of Technology Innovation
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• v.22 no.1
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• pp.149-175
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• 2014

This study analyzed the effect of corporate innovation strategies on patent production and ultimately on technological change and new product development of firms in South Korea. The intent was to derive efficient strategies for enhancing technological performance of the firms. For the empirical analysis, three sources of data were combined: four waves of the Human Capital Corporate Panel Survey (HCCP) data collected by the Korea Research Institute for Vocational Education and Training (KRIVET), corporate financial data obtained from the Korea Information Service (KIS), and corporate patent data provided by the Korean Intellectual Property Office (KIPO). The patent production function was estimated by zero-inflated negative binomial (ZINB) regression. The technological performance function was estimated by two-stage regression, taking into account the endogeneity of patent production. An ordered logit model was applied for the second stage regression. Empirical results confirmed the critical role of corporate innovation strategies in patent production and in facilitating technological change and new product development of the firms. In patent production, the firms' R&D investment and human resources were key determinants. Higher R&D intensity led to more patents, yet with decreasing marginal productivity. A larger stock of registered patents also led to a larger flow of new patent production. Firms were more prolific in patent production when they had high-quality personnel, intensely investing in human resource development, and adopting market-leading or fast-follower strategy as compared to stability strategy. In technological performance, the firms' human resources played a key role in accelerating technological change and new product development. R&D intensity expedited new product development of the firm. Firms adopting market-leading or fast-follower strategy were at an advantage than those with stability strategy in technological performance. Firms prolific in patent production were also advanced in terms of technological change and new product development. However, the nexus between patent production and technological performance measures was substantially reduced when controlling for the endogeneity of patent production. These results suggest that firms need to strengthen the linkage between patent production and technological performance, and take strategies that address each firm's capacities and needs.