• Journal of Korea Water Resources Association
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• v.45 no.11
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• pp.1131-1141
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• 2012

In this study, factors that influence water supply capacities of dams are extracted using factor analysis, and multiple regression equations for estimating water supply capacities of dams are developed using the analysis results. Twenty-one multi-purpose dams and twelve Municipal and Industrial (M&I) water supply dams are selected for case studies, and eight variables influencing water supply capacities of dams, namely: watershed area, inflow, effective reservoir storage, grade on amount of M&I water supply, grade on amount of agricultural water supply, grade on amount of in-stream flow supply, grade on river administration, and grade on average rainfall, are determined. Two case studies for multi-purpose dams and M&I water supply dams are performed, employing factor analysis, respectively. For the two cases, preliminary tests, such as reviewing matrix of correlation coefficient, Bartlett's test of sphericity, and Kaiser-Meyer-Olkin (KMO) test, are conducted to evaluate the suitability of the variables for factor analysis. In case of multi-purpose dams, variables are grouped into three factors; M&I water supply dams, two factors. The factors are rotated using Varimax method, and then factor loading of each variable is computed. The results show that the variables influencing water supply capacities of dams are reasonably selected and appropriately grouped into factors. In addition, multiple regression equations for predicting the amounts of annual water supply of dams are established using the factor scores as explanatory variables, it is identified that the models' accuracies are high, and their applications to determining effective storage capacity of a dam during dam planning and design steps are presented. Consequently, it is thought that the variables and factors are useful for dam planning and dam design.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.1
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• pp.215-234
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• 2012

The purpose of this study is to investigate asymmetric and nonlinear nature of the relationship between service attributes and global customer satisfaction, and to identify improvement strategies of service quality in libraries. In this study, two methods(such as kano's analysis and importance grid) were used to analyze the factor structure of customer satisfaction in libraries. The results show that two quality elements are classified as excitement factors, twelve quality elements are sorted as hybrid factor and eight quality elements are classified as dissatisfiers.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.801-825
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• 2017

본 연구는 과학기술분야 정부출연 연구기관의 자율성과 독립성을 보장하고, 연구기관 간의 협력과 유기적인 연결이라는 정책목표하에 1999년 이후 지금까지 그 목표달성을 위해 정책수단으로 존재하고 있는 연구회제도의 정책변동 사례를 대상으로 하고 있다. 과학기술 연구회는 김대중 정부이후 박근혜 정부까지 네 번의 정권교체기마다 변화과정을 거쳐왔다. 여기서는 그 사례에 Kingdon의 다중흐름모형을 이용하여 각 정부별 정책결정요인과 그 과정을 비교 분석했으며, 그 결과로서 Hogwood & Peters의 정책변동유형을 살펴보았다.

• 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.

• 한국벤처창업학회:학술대회논문집
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• 2017.04a
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• pp.44-44
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• 2017

본 연구는 청년창업자를 대상으로 청년창업자의 역량과 경영성과 사이에는 어떠한 관계가 있는지에 대해 살펴보고자 하였다. 연구의 자료는 한국노동연구원의 '청년패널조사(2015)' 9차년도 자료를 사용하였다. 본 연구의 표본은 비임금 근로자 중 학력은 전문대졸이상 이며, 가업을 물려받은 경우를 제외한 창업을 한 청년 182명을 최종 분석대상자로 선정하였다. 조사대상자의 일반적 특성을 알아보기 위해 빈도, 백분율, 평균, 표준편차를 산출하였고, 변인들 간의 다중공선성을 살펴보기 위해 상관관계분석을 실시하였다. 또 청년창업자의 경영성과에 미치는 영향요인을 살펴보기 위해 위계적 회귀분석을 실시하였다. 본 연구에 사용된 자료는 IBM SPSS Statistic 22.0을 이용하여 분석하였다. 본 연구는 청년창업자의 경영성과에 영향을 미치는 요인을 분석하기 위해 청년창업가의 역량으로 창업준비역량, 기업가역량, 관리역량 등 결정요인을 도출하고, 이들 요인과 경영성과 간의 가설을 설정하고, 이를 분석하고자 하였다. 본 연구의 결과는 다음과 같다. 청년창업자의 경영성과에 영향을 미친 요인은 교육수준 대비 일수준이 낮을수록, 전공이 일치하지 않을수록, 직무만족이 높을수록, 창업총자본금이 많을수록 경영성과가 높은 것으로 나타났다.

• Korean Journal of Childcare and Education
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• v.1 no.1
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• pp.59-81
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• 2005

The purpose of this study was to examine how Montessori-education program, one of different early-childhood education programs, was tied into the multiple intelligences of young children and how Montessori education program affected their multiple intelligences. It's basically meant to determine the efficiency of Montessori-education program. The major findings of the study were as follows: First, the Montessori-education program turned out to have a favorable effect on the development of the young children's multiple intelligences. Second, among the subfactors of multiple intelligences, the musical and bodily-kinesthetic intelligences of the preschoolers were little affected by the Montessori-education program, but that had a good impact on their logical-mathematical, spatial, linguistic, interpersonal, intrapersonal, and naturalist intelligences. The above-mentioned findings suggested that Montessori-education program was one of efficient teaching methods to step up the development of young children's multiple intelligences.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.3
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• pp.129-141
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• 2019

In recent years, fast growing cities in Korea are showing signs of being vulnerable to more disasters as their population and facilities increase and intensify. In particular, fire is one of the most common disasters in Korea's cities, along with traffic accidents. Therefore, in this study, we analyze what type of factors affect the fire that threatens urban people. Fire data were acquired for 10 years, from 2007 to 2017, in Jinju, Korea. Spatial distribution pattern of fire occurrence in Jinju was assessed through the spatial autocorrelation analysis. First, spatial autocorrelation analysis was carried out to grasp the spatial distribution pattern of fire occurrence in Jinju city. In addition, correlation and multiple regression analysis were used to confirm spatial dependency and abnormality among factors. Based on this, OLS (Ordinary Least Square) regression analysis was performed using space weighting considering fire location and spatial location of each facility. As a result, First, LISA (Local Indicator of Spatial Association) analysis of the occurrence of fire in Jinju shows that the most central commercial area are fire department, industrial area, and residential area. Second, the OLS regression model was analyzed by applying spatial weighting, focusing on the most derived factors of multiple regression analysis, by integrating population and social variables and physical variables. As a result, the second kind of neighborhood living facility showed the highest correlation with the fire occurrence, followed by the following in the order of single house, sales facility, first type of neighborhood living facility, and number of households. The results of this study are expected to be useful for analyzing the fire occurrence factors of each facility in urban areas and establishing fire safety measures.

• 한국노년학
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• v.34 no.2
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• pp.387-407
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• 2014

This study aims to identify the multiple trajectories of depressive symptoms and the characteristics of each trajectory group among the elderly. This study uses five waves of longitudinal data from the Korean Welfare Panel Study (KWPS, 2006-2010). Subjects were older adults aged 60 and over who had completed at least three waves between 2006 and 2010. A total of 4,181 respondents were analyzed. The latent growth mixture model and the multiple logistic regression model were mainly used for data analysis. The major findings were as follows: After controlling for the variables of gender, age, education, marital status, self-assessed health, and poverty, this study identified four different trajectory classes: stable low depressive symptoms (71.8%), high but decreased depressive symptoms (10.6%), moderate but increased depressive symptoms (7.9%), and an increased, then a decreased pattern of depressive symptoms (9.7%). The characteristics of theses trajectories as compared to previous studies were a lower percentage of 'stable low depressive symptoms', no 'persistently high depressive symptoms', and higher level of depressive symptoms. Also, the elderly in the stable low trajectory group had better health status, higher self-esteem and a good relationship with family members, having longer working periods, and more living in non-poverty. In addition, chronic health problems, loss of spouse, and household income differentiated the increased and then decreased pattern from the low stable pattern. Also, age and public pension differentiated the moderated but increased pattern from the low stable pattern. Based on the findings of this study, the researchers suggested political and practical implications for reducing depressive symptoms in later life.

• Journal of Bio-Environment Control
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• v.17 no.2
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• pp.124-131
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• 2008

To investigate main air temperature factors correlated to difference of fruit characteristics according to cultivating areas, fruit and air temperature characteristics of eight cultivating areas of 'Fuyu' persimmon were analyzed by principle components and multiple regression analysis. The first principal components extracted from 16 air temperature factors was annual mean temperature, mean temperature during October, annual mean minimum extreme temperature, mean temperature during growing period, and so forth. The second principal components was mean temperature during May and June and so forth. And cumulative contribution was 91.4%. The five of eight cultivating area had clearly the difference of main factors or the correlated direction among cultivating areas. In multiple regression analysis between the extracted main factors and fruit characteristics, fruit hight were highly correlated with mean temperature during growing period ($X_8$) and cumulative temperature ($X_6$), and the regression equation was $Y=150.55-5.375X_8+ 0.014X_6(r^2=0.843)$. Also this regression equation was affected by mean minimum temperature during growing period, cumulative temperature, and mean temperature during August. Fruit diameter was negatively correlated with mean temperature during growing period, flesh browning rate and Hunter a value of peel color were positively correlated with mean minimum temperature during growing period and annual minimum air temperature, respectively.

• Proceedings of the Korean DIstribution Association Conference
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• 2007.11a
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• pp.353-371
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• 2007

이 연구는 재래시장과 대형마트 고객들이 점포를 선택하는 요인을 비교분석하고, 고객만족을 결정하는 요인을 규명하여 재래시장 활성화에 대한 시사점을 제공하고자 하는 목적을 두었다. 기존 연구를 검토하여 점포선택요인과 고객만족 결정요인들을 도출하여 이를 재래시장과 대형마트 이용 고객에게 설문조사하였다. 연구결과, 재래시장 이용고객은 가격저렴성이, 대형마트 고객은 상품다양성이 가장 중요한 선택요인으로 도출되었다. 재래시장의 고객만족의 결정요인을 분석하고자 다중회귀분석을 실시한 결과, 쇼핑편리성, 상품, 접근편리성, 판매원 그리고 서비스가 유의한 정(+)의 영향을 마쳤다. 이러한 연구결과를 바탕으로 시사점을 논의하고, 연구의 한계와 미래 연구방향을 제시하였다.