• 아동학회지
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• 제23권3호
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• pp.65-78
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• 2002

This study investigated causality in children's emotional intelligence and sociodemographic variables, including family structure, number of siblings, home environment and peer group variables. Subjects were 301 elementary and junior high 11-and 13-year-olds and their mothers. Instruments were questionnaires from the Children's Emotional Intelligence Scale. Data analysis was by Pearson's r, Cronbach's ${\alpha}$, multiple regression and path analysis. Results showed that the variables that affected emotional recognition directly were age, sex, mother's education, economic status of the home, number of siblings, and emotional support of peers. Variables that affected emotion regulation directly were sex, economic status of the home, emotional support of peers, and common activity. Variables that affected emotional facilitation of thinking directly were age, sex, emotional support of peers, and common activity.

• 전기학회논문지
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• 제58권7호
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• pp.1304-1312
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• 2009

The purpose of this study is to build promotive measures and to develop alternative policies of DG(Distributed Generation) by finding and analysing effects of four business environment factors related to DEPB(District Electricity Power Business) on boosting DG. In this study, four business environment factors, which are the electric power industry restructuring, electricity tariff and pricing structure, regulations for DEPB, and conflicts of stake-holding groups, are considered as independent variables. And promotion factors of DG including small CHP(Combined Heat and Power) generation, which is outcome of DEPB, are considered as dependent variables. But dependent variables including booming of new renewable energy generation due to green energy pricing incentives, the electric power industry restructuring, and electricity tariff and pricing policies were separatively considered. In this study, some policies were proposed reflecting research results of empirical demonstrative analysis, previous studies, overseas cases, etc.

• 한국시스템다이내믹스연구
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• 제7권2호
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• pp.149-170
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• 2006

In this paper, an energy-economy-environment dynamic simulation model was developed to using system dynamics methodology. It describes current energy-economy-environment systems and forecasts changes caused by levying of carbon tax. The model is composed of three modules: an energy module, an economic module and an environmental module. Variables are interrelated in each module, and three modules are linked by several linkage variables. Setting up the linkage variables is an important factor for the composition of the model. The simulation result shows a change of the national GDP, usage of energy, and $CO_2$ emissions under levying and reinvestment of carbon tax considering various scenarios for the charging cost.

• 아동학회지
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• 제27권4호
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• pp.201-218
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• 2006

Using an instrument validated in an antecedent study, this study explored the effect of counseling and working environment variables on burnout in child counselors. The 191 counselors of this study worked with children under 18 years of age. Data were analyzed by Cronbach's a, quantification methods I. Counseling and working environment variables have 33% of ad-$R^2$ over the total score of burnout in child counselors. Variables contributing to burnout were workload, position in an institution, income from counseling, theoretical approach, and job stress. Counselors with 1-5 cases per week, working independent of an institution and using a single theory of counseling experienced more burnout, and counselors without challenge on the job, excessive role conflict, role ambiguousness, and excessive workload experienced more burnout.

• 국제물리치료학회지
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• 제9권4호
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• pp.1636-1641
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• 2018

The purpose of this study was to investigate the relationship between the needs for environmental improvement and dementia patients' activity of daily living (ADL) and behavior and psychological symptoms of dementia (BPSD) in dementia patients living in urban type dementia care villages. The subjects of this study were 70 households with cognitive impairment and dementia among residents of dementia care village in Gunsan City. The survey was conducted with the permission of their family. Frequency analysis and descriptive statistical analysis were performed on the main variables to analyze the characteristics of the subjects. Bivariate correlation analysis was performed to verify the relationship between the two variables. According to the analysis results, the order of environment improvement was in the order of entrance (51.4%), toilet and stairs (48.6%), kitchen (11.4%), bedroom and laundry room (10.0%). In the relationship between the variables, The ADL was correlated with age (r=.315, p <.01), BPSD (r=.322, p<.01) and living environment inconvenience (r=.640, p<.01) while, living environment inconvenience correlated with environment improvement need (r=.669, p<.01). This study suggests that improvement of the residential environment of dwellers in dementia care villages, especially the stairway and entrance hall is necessary.

• 경영과정보연구
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• 제25권
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• pp.371-386
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• 2008

In this study, the hypothesized model of internet user satisfaction in e-commerce environment is developed and the relationships among constructs in the model are examined. A Confirmatory factor analysis is employed to analyze the relationships between the multiple dependent variables and independent variables.

• 한국직업건강간호학회지
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• 제22권4호
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• pp.314-323
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• 2013

Purpose: The purpose of this study was to figure out influences of supervisor's and colleague's supports, nursing work environment, ego-resilience, organizational commitment and burnout on turnover intention of nurses working in general hospitals. Methods: The data were collected from 379 nurses working in general hospitals with more than 500 beds in S city from July 1 to August 31, 2012. The collected data were analyzed with independent t-test, one-way ANOVA, Pearson's correlation and Hierarchial regression analysis by using SPSS 19.0. Results: In case the subject was young, with work experience of 1~5 years, single, female and position of general nurse, turnover intention was statistically significantly higher. Turnover intention, supervisor's support, nursing work environment, organizational commitment and ego-resilience showed significantly negative correlations, but burnout showed significantly positive correlations. In case of controlling general characteristics, higher correlational variables with turnover intention accounted for 30.2%. Conclusion: In order to reduce turnover intention of general nurses who showed higher intention with 1~5 years' work experience, situational variables such as organizational commitment and nursing work environment and interpersonal relation variables such as supervisor's support as well as personal variables such as ego-resilience should all be considered.

• 한국대기환경학회지
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• 제24권5호
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• pp.604-612
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• 2008

The ozone concentration is one of the important environmental issue for measurement of the atmospheric condition of the country. This study focuses on applying the Autoregressive Error (ARE) model for analyzing the ozone data at middle part of the Gyeonggi-Do, Anyang monitoring site in Korea. In the ARE model, eight meteorological variables and four pollution variables are used as the explanatory variables. The eight meteorological variables are daily maximum temperature, wind speed, amount of cloud, global radiation, relative humidity, rainfall, dew point temperature, and water vapor pressure. The four air pollution variables are sulfur dioxide $(SO_2)$, nitrogen dioxide $(NO_2)$, carbon monoxide (CO), and particulate matter 10 (PM10). The result shows that ARE models both overall and monthly data are suited for describing the oBone concentration. In the ARE model for overall ozone data, ozone concentration can be explained about 71% to by the PM10, global radiation and wind speed. Also the four types of ARE models for high level of ozone data (over 80 ppb) have been analyzed. In the best ARE model for high level of ozone data, ozone can be explained about 96% by the PM10, daliy maximum temperature, and cloud amount.

• 한국물환경학회지
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• 제30권1호
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• pp.8-15
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• 2014

In this study, regression equation was analyzed to estimate non-point source (NPS) pollutant loads in orchard area. Many factors affecting the runoff of NPS pollutant as precipitation, storm duration time, antecedent dry weather period, total runoff density, average storm intensity and average runoff intensity were used as independent variables, NPS pollutant was used as a dependent variable to estimate multiple regression equation. Based on the real measurement data from 2008 to 2012, we performed correlation analysis among the environmental variables related to the rainfall NPS pollutant runoff. Significance test was confirmed that T-P ($R^2=0.89$) and BOD ($R^2=0.79$) showed the highest similarity with the estimated regression equations according to the NPS pollutant followed by SS and T-N with good similarity ($R^2$ >0.5). In the case of regression equation to estimate the NPS pollutant loads, regression equations of multiplied independent variables by exponential function and the logarithmic function model represented optimum with the experimented value.

• 한국조경학회지
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• 제30권6호
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• pp.57-65
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• 2003

This study researches attributes , behaviors , satisfaction factors and degrees of curiosity of visitors to recreational forests in the suburbs of a large city. It aims to present suggestions for urban forest development and management policy by offering basic data which help to plan, design and manage recreational forests to increase the quality of these environments. The results are as follows First, in attribute, the visiting rate of males is higher than that of females, and the main users are in their thirties and forties. Sixty percent of visitors graduated from university and their rate of employment is evenly distributed. 95 percent of visitors are residents of the metropolitan area. In terms of behavior, major visitors are family units visiting during summer seasons and for overnight stays. 75% are re-visitors. 85% of visitors came to escape the city with families and friends, keep in good health and experience nature. Second, to extract the factors affecting visitor satisfaction in recreational forests, the natural environment, facilities, and management/use systems were identified as independent variables, while subordinate satisfactions were dependent variables. so regression analysis was used. Thus, the variables affecting the natural environment are quality of water, stream use, biodiversity, fresh air and landscape factors. The variables affecting facilities are puking, convenience, play facilities, sanitary arrangement and camping. Most important among the variables affecting management/use systems are educational facilities and access condition. On the basis of generalizing the study in the existing individual site, we must verify the visiting characteristics in recreational forests in the suburbs of a large city. Since development of recreational forests is understood as a sequence considering a site and a given condition, and since management and improvement must unfold according to these characteristics, a strategy is needed to reveal visitors' opinions about the site. Depending on the facilities and service, satisfaction of recreational forests is generally influenced by social and economic qualities. Also, this study can look into the effect according to use pattern motive and season. As suburban recreational forests have many overnight-users and younger men, programs suitable for these groups are needed. On the basis of variables affecting satisfaction according to natural environment, facilities, and use system, policies which can manage the natural environment and introduce educational programs are needed.