• 아동학회지
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• 제20권4호
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• pp.195-211
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• 1999

This study investigated developmental trends and sex differences in the relation between children's self-esteem and relevant variables by proposing and testing the causal model. The 763 children who participated in the study were 3rd, 5th, and 7th grade students. Major findings were that physical appearance was the most powerful determinant of self-esteem. Students with high self-esteem were more learning oriented, used more motivational behaviors and had higher academic achievement. The findings from this analysis of the causal model revealed remarkable developmental differentiation and stability.

• 한국경영과학회지
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• 제31권4호
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• pp.13-33
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• 2006

Using structural equation modeling, this study empirically examined the causal relationships among the level of advanced manufacturing technology (AMT), facilitation of alignment, the degree of strategic alignment of management eccounting Information systems (MAIS), and the improvement of production performance. The causal relationships between MAIS strategic alignment and information characteristics of MAIS were also investigated. The results showed that the level of AMT has a significant and positive impact on alignment facilitation. A significant causal relationship between alignment facilitation and MAIS strategic alignment was also found. It was shown that under high degrees of MAIS strategic alignment, MAIS must provide broad-scope and integrated types of Information. The causal relation-ships between MAIS strategic alignment and organizational performance were significant and positive. Thus, it is concluded that under high levels of AMT, a high degree of MAIS strategic alignment positively contributes to the improvement of production performance.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제39권5호
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• pp.203-206
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• 2013

Statistics is the science of data. As the foundation of scientific knowledge, data refers to evidentiary facts from the nature of reality by human action, observation, or experiment. Clinicians should be aware of the conditions of good data to support the validity of clinical modalities in reading scientific articles, one of the resources to revise or update their clinical knowledge and skills. The cause-effect link between clinical modality and outcome is ascertained as pattern statistic. The uniformity of nature guarantees the recurrence of data as the basic scientific evidence. Variation statistics are examined for patterns of recurrence. This provides information on the probability of recurrence of the cause-effect phenomenon. Multiple causal factors of natural phenomenon need a counterproof of absence in terms of the control group. A pattern of relation between a causal factor and an effect becomes recognizable, and thus, should be estimated as relation statistic. The type and meaning of each relation statistic should be well-understood. A study regarding a sample from the population of wide variations require clinicians to be aware of error statistics due to random chance. Incomplete human sense, coarse measurement instrument, and preconceived idea as a hypothesis that tends to bias the research, which gives rise to the necessity of keen critical independent mind with regard to the reported data.

• 한국시스템다이내믹스연구
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• 제14권3호
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• pp.75-103
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• 2013

The purpose of this study is to use system dynamics to establish the relation among each variable through the construction process of Community Planning Model, and examine what changes policy scenarios per alternative cause in Community Planning through policy simulation of the constructed model. Therefore, this study extracted chief variables of Community Planning Projects through precedent researches related to Community Planning, and extracted variables were prepared as causal map to examine in what causal cycle feedback structure within Community Planning they can be explained. Next, Community Planning Model was constructed based on the prepared causal map. The model was verified by specialists' interviews and simulation of example areas. This study, which aimed to construct Community Planning Model using system dynamics, has a significance in that it prepared the foundation to provide useful methodology in monitoring the progress of project or establishing the plan of future Community Planning Projects.

• 한국안전학회지
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• 제38권5호
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• pp.51-57
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• 2023

Numerous studies have been conducted to analyze the causal relationships of maritime accidents using natural language processing techniques. However, when multiple causes and effects are associated with a single accident, the effectiveness of extracting these causal relations diminishes. To address this challenge, we compiled a dataset using verdicts from maritime accident cases in this study, analyzed their causal relations, and applied labeling considering the association information of various causes and effects. In addition, to validate the efficacy of our proposed methodology, we fine-tuned the KoELECTRA Korean language model. The results of our validation process demonstrated the ability of our approach to successfully extract multiple causal relationships from maritime accident cases.

• 대한가정학회지
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• 제36권11호
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• pp.1-17
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• 1998

The purpose of this study was to investigate causal relation and the influence of socially reponsible atitude and behavior of consumer. In an analysis of causal effect on the socially responsible attitude and behavior of consumer, the most influential variables on the socially responsible behavior of consumer was the socially responsible attitude. And house pattern, altruism, liberalism, dogmatism, perceived consumer effectiveness, environmental concern, faith on the consumer regulation policy, and neutral information had effect on the socially responsible behavior of consumer directly and indirectly.

• 한국시스템다이내믹스연구
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• 제10권2호
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• pp.29-52
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• 2009

This paper reveals the conceptual relation between High Level Radioactive Waste Repository Site(HLRWR) and Policy Acceptance of Local Residents thorough the Causal Loop Diagram. The Resident's policy acceptance depends on the perceived risk of that facility. To reduce the risks, government has to prepare the schemes of the total supporting program including cash and the local development programs.

• 한국컴퓨터정보학회논문지
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• 제21권3호
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• pp.123-128
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• 2016

This study aims to analyze the causal relation between identity and school adaptation of multicultural family children, starting from necessity of empirical research considering insufficient preceding research. To achieve the purpose of the research, this study implemented empirical analysis regarding the causal relation between factors of self-identity and school adaptation. As a result, factors of self-identity implies significant effect on school regulations, while factors of school adaptation partially have an effect on school class and relations with a teacher and friend. Based on the result of verification, this study emphasizes teachers' effort as well as comprehensive and practical development of an educational program to help children from multicultural family establish the right self-identity for settling into school life. Moreover, the limitation of this study and future research direction is presented.

• 대한가정학회지
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• 제40권12호
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• pp.131-144
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• 2002

The purpose of this study was to identify the degree of experience and the consumer problem perception on its seriousness in relation to E-commerce in information society and how much consumers wanted to be provided with consumer information and education. The major findings of this study were as follows: 1. The consumers showed the highest degree of consumer information needs related to the protection of private information and the highest degree of consumer education needs related to consumerism/law/method of compensation for damages. 2. The consumers showed the highest level of anxiety at a time of e-commerce in to the total causal effect of the variables influencing consumer information needs and the variable of sex(male university students)showed the greatest total causal effect in relation to consumer education needs.

• 대한가정학회지
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• 제41권7호
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• pp.169-184
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• 2003

This study examined a causal relation between employment and depression among low-income young mothers who participated in New Chance Demonstration Study(NC). Using baseline and first follow-up interview data from NC study, this study selected 756 young mothers who were at risk of depression and unemployed at baseline. About 18% of them were employed and 45% of them were no longer at risk of depression at the first follow-up interview. The young mothers grade level and their race/ethnicity were significantly related to the number of weeks employed between the two time points and employment at the 1st follow-up interview. It was also found that employment was negatively associated with depression at the 1st follow-up interview. These findings imply that employment can ameliorate depressive symptoms of low-income young mothers.