• Hwankyungkyoyuk
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• v.23 no.1
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• pp.50-63
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• 2010

This study is a qualitative case study aiming at understanding and finding out influential factors and barriers when school teachers choose Environmental Education as their Creative Discretionary Activities. To do this, this study focuses on the process of two teachers' choices of the Creative Discretionary Activities in two other elementary schools. The results of this research are follows. Two teachers' choices are affected by several influential factors, divided into external factors and internal factors. External influential factors include culture of school and education, media, chief education officers, parents and school. Internal influential factors are teachers' value and philosophy of education, teachers' experiences, teachers' capacity. These influential factors' forces aren't the same with each other. These influential factors, are influenced by educational, social, national, local, and school level indicated by Taylor et al's (1974) classification criterion. Especially, however, Korea's particular educational environment focusing on university entrance examination strongly affects teachers' choice. School factors also has a big strong effect on teachers' choice. Among others internal actors are the most serious influential factor affecting on teachers' choice.

• Journal of Families and Better Life
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• v.33 no.4
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• pp.51-65
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• 2015

Case management is becoming increasingly more important in the field of social welfare. The purpose of this study was to examine the practice of case management at community child centers and to identify factors influencing their performance. In addition, this study also analysed the performance level of case management at each stage and the factors influencing the level at each stage. For the purpose of this study, data obtained from about 181 community child center workers in Busan, Ulsan and Gyeongsangnamdo were analyzed. According to the results of the analysis, in Model 1 which represents the category of socio-demographic and personal factors, three factors namely gender, experience in case management, and interpersonal skills were found to be significantly influential and they have an explanatory power of 21.5%. Under the category of organizational factors in Model 2, four factors were found to be influential: experience in case management, interpersonal skills, availability of case management guidelines, and holding case conferences. These factors account for 33% explanatory power, 11.5% higher than that of Model 1. In Model 3 which represents the third category of community network literacy, three factors namely interpersonal skills, availability of case management guidelines, and ability to utilize networks were found to influence case management at community child centers, and they have an explanatory power of 43.4%, 10.4% higher than that of Model 2. For the practice of social welfare, these findings have the implication that community child center workers need to improve their interpersonal skills by cultivating communication skills, collaborative problem-solving skills, conflict-management skills, and other relevant skills. Furthermore, it is necessary to provide specific guidelines for case management, to have regular case conferences, to establish a community network, and to reinforce cooperation and mutual support among institutions within the network.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.5
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• pp.415-422
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• 2017

Finding influential factors from given clustering result is a typical data science problem. Genetic Algorithm based method is proposed to derive influential factors and its performance is compared with two conventional methods, Classification and Regression Tree (CART) and Chi-Squared Automatic Interaction Detection (CHAID), by using Dunn's index measure. To extract the influential factors of preference towards political parties in South Korea, the vote result of $18^{th}$ presidential election and 'Demographic', 'Health and Welfare', 'Economic' and 'Business' related data were used. Based on the analysis, reverse engineering was implemented. Implementation of reverse engineering based approach for influential factor analysis can provide new set of influential variables which can present new insight towards the data mining field.

• Journal of the Korean Statistical Society
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• v.30 no.1
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• pp.139-151
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• 2001

Although lots of works are done in influence diagnostics, results in the multivariate analysis are quite rare. One of recent works done by Fung(1995) is about the single case influence diagnostics in the linear discriminant analysis. In this paper we extend Fung's results to the multiple cases diagnostics which are necessary in the linear discriminant analysis for two reasons among others; First, the masking effect cannot be detected by single case diagnostics and secondly two populations are concerned in the discriminant analysis, i.e., influential cases can occur in one or both populations.

• 한국연소학회:학술대회논문집
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• 2014.11a
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• pp.113-113
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• 2014

This study has been conducted for evaluation of qualitative/quantitative risk of HCNG filling station. In case of fire explosion occurred because of hydrogen, CNG, and HCNG leaking on same conditions, maximum overpressure was measured as 30kPa for hydrogen, 3.5kPa for HCNG, and 0.4kPa for CNG. The overpressure of HCNG was measured 7.75 times higher than that of CNG, but it was only 11.7% compared with hydrogen. When the explosion was occurred, in case of hydrogen, the measured influential distance of overpressure was 59m and radiant heat was 75m. In case of CNG, influential distance of overpressure was 89m and radiant heat was 144m would be estimated. In case of 30% HCNG that was blended with hydrogen and CNG, influential distance of overpressure was 81m and radiant heat was 130m were measured. As the explosion occurred with the same sized container that had 350bar for hydrogen and 250bar of CNG and HCNG, the damage distance that explosive overpressure and radiant heat influenced CNG was seen as the highest. HCNG that was placed between CNG and hydrogen tended to be seen as more similar with CNG.

• Communications for Statistical Applications and Methods
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• v.24 no.3
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• pp.317-324
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• 2017

An influence measure known as Cook's distance has been used for judging the influence of each observation on the least squares estimate of the parameter vector. The distance does not reflect the distributional property of the change in the least squares estimator of the regression coefficients due to case deletions: the distribution has a covariance matrix of rank one and thus it has a support set determined by a line in the multidimensional Euclidean space. As a result, the use of Cook's distance may fail to correctly provide information about influential observations, and we study some reasons for the failure. Three illustrative examples will be provided, in which the use of Cook's distance fails to give the right information about influential observations or it provides the right information about the most influential observation. We will seek some reasons for the wrong or right provision of information.

• Journal of the Korean Home Economics Association
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• v.32 no.2
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• pp.33-48
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• 1994

This study was designed to demonstrate the wide scope of the home production activities. The purpose of this study are first to identify the factors affecting various near environmental home production activities second to examine the effect of the near environmental home production activities on the life satisfaction. Qustionnaires from 729 housewives in Seoul are analyzed in this study. The major findings are as follows: 1. Homeproduction activities with neighbors are influenced by the housewives' physical health. In the case of adult children family life cycle number of family members etc. are influential variables. In the case of step-parents and housewives' parents the number of family members family life-cycle etc. are influential variables. In the case of adult sisters housewives' birth order is influential variables. Home production activities utilizing facilities in the near environment are influenced by high-rise apartment housing tenure etc. Production activities through the participation in the organizations are influenced by family life cycle and similiarity to neighbors. 2. Production activities through the participation in the organizations home production activities with adult sisters and brothers and home production activities with adult childern have positive effect and home production activities utilizing facilities in the near environment have negative effect on the life satisfaction of the housewives. And the near environmental satisfaction affects on the life satisfaction of the housewives. Therefore the result of this study indicates that including the near environmental home production activities to the home production is rational.

• Journal of Engineering Education Research
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• v.19 no.6
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• pp.38-43
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• 2016

This paper deals with the effect of student characteristics from a case study on the different teaching evaluation scores under the same conditions of professor and course characteristics. In particular, focusing the evaluation score gabs caused by different course achievements of two classes, we can analyze the influence of the student characteristics and interpret the meaning. This case study shows that the student characteristics can lead out a distinct difference in the teaching evaluation scores under the most factors related to professors and courses are controlled, In conclusion, this case study could be appropriately used to support the interpretation of the student characteristic hypothesis among several hypotheses about the meaning of correlations between student achievement and teaching evaluation.

• Korean Journal of Community Nutrition
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• v.7 no.2
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• pp.188-198
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• 2002

This study was conducted to compare families eating-out behavior in relation to family life cycle in order to provide basic information on nutritional education about eating-out. The data were collected by the survey method from 440 families who lived in apartment complexes in Kyong-ju and Seoul. The structured questionnaire included items about the frequency of eating out, the choice of eating-out menus, the decision maker of the eating-out process, the attitudes toward eating out and the general characteristics of the families. The major results are as follow: 1) In the cafe of telephone delivery service, and eat-in restaurants, the subjects showed statistical significance (p < 0.01). With respect to telephone delivery service, families in Step II used it most frequently, but families in Step I rarely used it. With respect to eat-in restaurants, families in Step II used them most frequently but families in Step IV rarely used them. 2) In all the family life cycle steps, the most favorable menu was fried chicken for take-out type, Chajang noodles, fried chicken and pizza fur telephone delivery, pizza for internet delivery, raw fish and beef for eat-in restaurant, Docbokki, laver rolled rice and ramyun for convenience flood stores. 3) The wife was most influential in making decisions about the take-out type (p < 0.001). In the case of telephone deliveries (p < 0.001), the wife was the most influential in the families of Steps I and II, but the children were the most influential in the families of Steps III and IV. In the case of eat-in restaurants (p < 0.001), the husband had the most effect on the decision-making process. In the case of convenience flood stores (p < 0.001), the children were the most influential in the families in Steps III and IV. In most family life cycle steps, each of them chose their own meal. 4) from a factor analysis perspective, attitudes toward eating out have been grouped according to two factors, namely 'Advantage' and 'Nutrition'. No factor showed a significant difference among the family life cycle steps.

• Communications for Statistical Applications and Methods
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• v.20 no.3
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• pp.217-223
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• 2013

Two influence diagnostic methods for the common mean model are proposed. First, an investigation of the influence of observations according to minor perturbations of the common mean model is made by adapting the local influence method which is based on the likelihood displacement. It is well known that the maximum likelihood estimates are in general sensitive to influential observations. Case-deletions can be a candidate for detecting influential observations. However, the maximum likelihood estimators are iteratively computed and therefore case-deletions involve an enormous amount of computations. An approximation by Newton's method to the maximum likelihood estimator obtained after a single observation was deleted can reduce much of computational burden, which will be treated in this work. A numerical example is given for illustration and it shows that the proposed diagnostic methods can be useful tools.