• Journal of Korean Public Health Nursing
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• v.13 no.1
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• pp.12-24
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• 1999

In Korea. the investigation were related of health promotion is actively expanded Since 1990. We analysed the characteristics of the theses for an academic degree. relate to lifestyle of health promotion. have published since 1980. According to age group. analysing causal factors affection the health-promotion and will sugesting for health promotion program strateges. The results were summarized as follows: 1. Health promoting caocept is related to health locus of control. self respect. perceived health status. self ifficacy and gender role. 2. Among health promoting lifestyle. emotional support, self-realizationhygienic lifestyle were significantly positive. and the older. the lesser health-promoting complicnce. 3. Causal factors affecting the health-promoting lifestyle were identified health promoting behaviors wire affected by demographic factors which were gender. age. marrige status. education level. relision. vocation. job satisfaction. economic status and by social support factors which were familiarity. family function personal relationship. gender role. 4. In school age. daily lifestyle behaviors were significantly positive. middle and high schllo age froup were affected by stress. nutrition. social support. self-realization were causal factors explaining health promoting behavior of middle age and old age but. there was problems of exercise behaviors. therefore. the need to develop a health education program for the all age group to improve the health-promoting lifestyle.

• Journal of Fisheries and Marine Sciences Education
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• v.20 no.2
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• pp.147-155
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• 2008

The purpose of this study was to identify the causal relationship developmental activity of the marine sports among the educational value and barrier's factors in a middle school teachers in Busan. Responses were collected from 352 questionnaires which participated in the survey chosen by convenient sampling from the middle school teachers who working the area of Busan. A total of 338 responses were used in data analysis; 14 questionnaires were excluded form data analysis because of incomplete or missing data. To conduct this study the multiple regression analysis was used by SPSS 10.0. The result of this study disclosed; first, The factors of educational value such as self-concept development, collaboration, human relationship, and emotional development were statistically causal relationship with the developmental activity of the marine sports. The other factors of creativity, leisure activity, and health were not statistically causal relationship with the development activity of the marine sports. Second, the barrier's factors of facility and weather were statistically causal relationship with the developmental activity of the marine sports. The other barrier's factors of safety accident, program, and participation expense were not statistically causal relationship with the developmental activity of the marine sports.

• Safety and Health at Work
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• v.10 no.3
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• pp.305-313
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• 2019

Background: The oil and gas industry is one of the riskiest industries for confined space injuries. This study aimed to understand an overall picture of the causal factors of confined space accidents through analyzing accident reports and the use of a qualitative approach. Methods: Twenty-one fatal occupational accidents were analyzed according to the Human Factors Analysis and Classification System approach. Furthermore, thirty-three semistructured interviews were conducted with employees in different roles to capture their experiences regarding the contributory factors. The content analyses of the interview transcripts were conducted using MAXQDA software. Results: Based on accident reports, the largest proportions of causal factors (77%) were attributed to the organizational and supervisory levels, with the predominant influence of the organizational process. We identified 25 contributory factors in confined space accidents that were causal factors outside of the original Human Factors Analysis and Classification System framework. Therefore, modifications were made to deal with factors outside the organization and newly explored causal factors at the organizational level. External Influences as the fifth level considered contributory factors beyond the organization including Laws, Regulations and Standards, Government Policies, Political Influences, and Economic Status categories. Moreover, Contracting/Contract Management and Emergency Management were two extra categories identified at the organizational level. Conclusions: Preventing confined space accidents requires addressing issues from the organizational to operator level and external influences beyond the organization. The recommended modifications provide a basis for accident investigation and risk analysis, which may be applicable across a broad range of industries and accident types.

• International Journal of Highway Engineering
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• v.14 no.6
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• pp.121-129
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• 2012

PURPOSES : Traffic accidents at intersections have been increased annually so that it is required to examine the causations to reduce the accidents. However, the current existing accident models were developed mainly with non-linear regression models such as Poisson methods. These non-linear regression methods lack to reveal complicated causations for traffic accidents, though they are right choices to study randomness and non-linearity of accidents. Therefore, to reveal the complicated causations of traffic accidents, this study used structural equation methods(SEM). METHODS : SEM used in this study is a statistical technique for estimating causal relations using a combination of statistical data and qualitative causal assumptions. SEM allow exploratory modeling, meaning they are suited to theory development. The method is tested against the obtained measurement data to determine how well the model fits the data. Among the strengths of SEM is the ability to construct latent variables: variables which are not measured directly, but are estimated in the model from several measured variables. This allows the modeler to explicitly capture the unreliability of measurement in the model, which allows the structural relations between latent variables to be accurately estimated. RESULTS : The study results showed that causal factors could be grouped into 3. Factor 1 includes traffic variables, and Factor 2 contains turning traffic variables. Factor 3 consists of other road element variables such as speed limits or signal cycles. CONCLUSIONS : Non-linear regression models can be used to develop accident predictions models. However, they lack to estimate causal factors, because they select only few significant variables to raise the accuracy of the model performance. Compared to the regressions, SEM has merits to estimate causal factors affecting accidents, because it allows the structural relations between latent variables. Therefore, this study used SEM to estimate causal factors affecting accident at urban signalized intersections.

• Health Policy and Management
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• v.8 no.1
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• pp.52-96
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• 1998

To find causal factors and improvement plans of organizational commitment of public servants in urban health centers, a hypothetical causal model, which included 2 endogenous variables(organizational commitment & organizational satisfaction) and 15 exogenous variables, was constructed. Exogenous variables consisted of individual factors (sex, age, education, job-grade, and annual salary), psychological variables(pride for organization, extrinsic motivation, intrinsic motivation and support of supervisor) ad structural variables(formalization, centralization, communication, job-conflict, job-decision, and workload). In the hypothetical causal model, organizational commitment was supposed to be effect variable, and organizational satisfaction was presumed to be intervening variable to mediate between organizational commitment and exogenous variables. For data collection, cross-sectional self-administered questionnaire survey was conducted to 1,295 public servants from 32 urban health centers nationwide. The survey responses were from 934, 72.1% of subjects. But 756 responses(58.4%) were analyzed because of excluding ones with missing values. The hypothetical causal model was fitted by covariance structural analysis with maximum likelihood method. Main results were as follows: (1) The fitted causal model accounted for 33 and 55 percent of total variance of organizational commitment and organizational satisfaction of public servants, respectively. (2) In order of effect size, pride for organization, supervisor support, communication, extrinsic motivation and centralization had an indirect effect effect on organizational commitment through organizational satisfaction. However, the effect of centralization was negative. (3) Pride for organiztion, intrinsic motivation, organizational satisfaction, job-conflict, supervisor support, communication, age, centralization, annual salar and extrinsic motivation had indirect or direct effects on organizational commitment in order of effect size. Among them, effects of job-conflict and centraldization were negative. In conclusion, these results suggested that organizational commitment of public servants in urban health centers could be enhanced by pride for organization, intrinsic and extrinsic motivations, prevention of job-conflict and excess centralization, supervisor support and active communication. Especially, pride for organization and intrinsic motivation were expected to play the most important role.

• Journal of the Korean Society of Safety
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• v.37 no.5
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• pp.42-55
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• 2022

In this study, an accident at an in-house maintenance subcontractor of a manufacturing company was analyzed using representative systemic analysis methods, and the results were compared to determine the socio-technical and organizational structure causal factors. Systemic accident analyses were performed using AcciMap, STAMP-CAST, and a method that utilizes work processing procedures. The causal factors derived from the three methods were classified according to HFACS classification criteria. AcciMap and STAMP-CAST analyses were able to derive legal problems and defects in organizational structure between the company and the subcontractors. The method that utilized the work processing procedures drew the most causal factors of the three methods but showed some limitations in deriving legal and facility-related problems. Most of the causal factors identified through the systemic methods could be classified according to the HFACS classification criteria, except for the legal and organizational structure matters. Socio-technical and organizational problems with a holistic perspective of the company and subcontractors could be found using systemic analysis methods. However, it is necessary to conduct analysis using various methods in order to derive more comprehensive measures to prevent accidents because each analysis method showed some limitations in the derivation or expression of some causal factors. The results of this study can be helpful in selecting and using an appropriate method for accident analysis.

• Journal of Preventive Medicine and Public Health
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• v.55 no.2
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• pp.116-124
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• 2022

Epidemiological studies typically examine the causal effect of exposure on a health outcome. Standardization is one of the most straightforward methods for estimating causal estimands. However, compared to inverse probability weighting, there is a lack of user-centric explanations for implementing standardization to estimate causal estimands. This paper explains the standardization method using basic R functions only and how it is linked to the R package stdReg, which can be used to implement the same procedure. We provide a step-by-step tutorial for estimating causal risk differences, causal risk ratios, and causal odds ratios based on standardization. We also discuss how to carry out subgroup analysis in detail.

• Journal of the Korean Institute of Navigation
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• v.24 no.1
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• pp.13-22
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• 2000

The collisions at sea among marine casualties are not reduced as the tonnage and speed of ship's increase as well as the traffic quantity increase at sea, in spite of the improvement of nautical equipment, enforcement of crew's education and training as well as improvement of quality standard according to the implementation of ISM code. The measures to prevent the collisions at sea are simple, and are composed of six stage.: The first stage is that the officer on duty detect the target from his eye or radar information. The second stage is determining the type and kind of target-ship. The third stage is target tracking; calculation of target speed, course, CPA and TCPA from radar information or visual check. The fourth stage is determination of vessel in danger after calculation of third stage. The fifth stage is the judgement of situation if own ship is stand-on or give way vessel according to the 1972 COLREG. The last stage is to carry out proper action according to 1972 COLREG, under the circumstances. But by the case, the situations are so different under the different external conditions; for example, natural/navigational conditions, crew's human factors, ship's particular, rule or regulation, management system on board, the condition of watch keeping. Therefore the reasons and casualties are so complicated. This study aims to investigate the collision casualty at sea which needs to clarity all these causal factors of afore-mentioned, and to analyze the causes of problems so as to utilize them to establish the measures of preventing marine accidents. This study, described the concepts of causal factors into three groups; environmental factor, and company/on board management system and navigator's act. Also described how to investigate and analyzes the casual factors. Even though it was described in this paper how to detect the causal factors and reasons of collisions, and how to analyze the inter-relation of each causal factors, it is necessary to do further study how to analyze between the liability of concerned parties and the casual factors involved.

• Journal of the Korean Institute of Landscape Architecture
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• v.20 no.3
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• pp.103-109
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• 1992

This research suggest a causal model to investigate factors and variables which significant effects on user satisfaction with city park recreational facilities in Duryu city park in Taegu, and thereby identifying implications for planning and development of urban parks and open space. For this study the data were gathered by self-adminstered questionnares from 993 households selected by the multi-stage probability sampling method. The analysis of the data consists of two phases. The first involves exploratory factor analysis to draw meaningful factors from the data. Three factors were indentified. The second phase test the causal model of this research employing LISREL methodology. On the base of the analysis results, important implications for planning of city park and open space are recommended.

• The Journal of Information Systems
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• v.16 no.4
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• pp.177-194
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• 2007

This study is intended to identify critical success factors(CSF) of real-time enterprises(RTE) by using a policy leverage method of system dynamics. Since RTE is a new theoretical system that unifies existing theories or concepts in business management and information technology, it is not proper to employee a traditional statistical method. To obtain our research goal, causal maps of system dynamics are employed to abstract and arrange RTE information from previous studies. By using the commonness of policy leverage and critical success factors, CSFs for the RTE are deduced by substituting the leverage points on causal maps with necessary success factors to solve the problems. Since this is a new approach to identify success factors. it has some restrictions. Unlike the statistical methods, this approach explains only the directions of causalities and correlations. For the future research, a simulation tool of system dynamics can be employed to discover how each CSF is correlated to the successful implementation of RTE.