• Child Health Nursing Research
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• v.24 no.3
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• pp.287-297
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• 2018

Purpose: This study aimed to identify variables influencing the psychosocial adjustment of North Korean adolescent refugees in order to establish a structural equation model and design an intervention strategy to improve psychosocial adjustment. Methods: The subjects included 290 North Korean adolescent refugees aged 16~24 years who were enrolled in alternative schools or regional adaptation centers. They were surveyed using a structured questionnaire. Results: The goodness of fit measures of the model were as follows: $x^2=131.20$ (p<.001), GFI=.93, CFI=.91, TLI=.86, RMSEA=.08, and SRMR=.07. The results estimated from the structural equation model indicated a good fit of data to the hypothesized model, which proposed that stress and emotional intelligence are associated with psychosocial adjustment. The major variables influencing psychosocial adjustment were stress, emotional intelligence, which was a significant direct effect, whereas attitude of parenting showed an indirect effect on psychosocial adjustment through emotional intelligence. These variables account for 50.0% of psychosocial adjustment. Conclusion: It is necessary to develop a program and intervention plan that can enhance emotional intelligence and thereby relieve the stress of North Korean adolescent refugees. The program should also include parenting education so that parents have positive attitude of parenting.

• Journal of health informatics and statistics
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• v.42 no.2
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• pp.192-198
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• 2017

Objectives: This study was designed to construct and test the structural equation model for the alcohol-related problem of alcohol use disorders. Methods: Data were collected by structured self-questionnaires from 229 male subjects who received > 8 (greater than 8) score on Alcohol Use Disorder Identification Test (AUDIT). The Data were analyzed by SPSS 21.0 and AMOS 21.0. Results: The model fit indices for the modified hypothetical model showed Q = 2.50, GFI = 0.90, and CFI = 0.94. As a result, Life position, parent's drinking problem, and alcohol expectancy had significantly direct effect on alcohol-related problem. Alcohol expectancy also had mediator effect between life position and alcohol-related problem. Conclusions: Consequently, the more positive life position, the less alcohol-related problem occurred. It is necessary to change their life position, which is individual factor, to prevent or reduce the alcohol related problem of alcohol use disorders.

• Research in Community and Public Health Nursing
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• v.30 no.3
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• pp.345-356
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• 2019

Purpose: The purpose of this study is to construct and test a structural equation model of posttraumatic growth (PTG) of earthquake victims based on Tedeschi and Calhoun's model (2004). Methods: Data were collected from 195 earthquake victims living in K. City. The exogenous variables include distress perception, resilience, and social support, and the endogenous variables include intrusive rumination, deliberate rumination, and posttraumatic growth. For data analysis, descriptive statistics, factor analysis, and structural equation modeling were performed. Results: The modified model showed a good fitness to the data. Moreover, 6 of the 9 paths of the final model were statistically significant, which include PTG affected by deliberate rumination (${\beta}=.58$, p<.001), resilience (${\gamma}=.18$, p=.001), and distress perception (${\gamma}=.20$, p=.002). These predictors explain 51.8% of variance in posttraumatic growth. Conclusion: Based on the results of this study, it is necessary to develop and disseminate preventive intervention programs to increase the resilience of earthquake-prone communities. In addition, after exposure to a community-scale traumatic event such as earthquake, we should provide social supports to alleviate distress perception and transition from intrusive rumination to deliberate rumination so that we can seek new meaning from the earthquake and facilitate posttraumatic growth.

• Journal of Distribution Science
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• v.21 no.9
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• pp.1-11
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• 2023

Purpose: This study focuses on developing a structural equation model of variables influencing loyalty to buying and selling food products through e-marketplaces in Thailand. The variables investigated comprised food attributes, online system attributes, marketing innovations, attitudes, and satisfaction. Research design, data and methodology: An online questionnaire was used to collect data from a sample group (200 buyers and 200 sellers) using quota sampling. The data were analyzed using the structural equation model. Results: The developed structural equation model was consistent with the empirical data. Factors in the model could explain 40.1% of the variance in loyalty to buying and selling food products through e-marketplaces. Food attributes and online system attributes influenced satisfaction directly. Online system attributes, market innovation, and attitudes directly influenced loyalty. The developed model had no variation between groups of buyers and sellers. Conclusions: This research demonstrated the causal factors leading to consumer loyalty to buying and selling food products through e-marketplaces. The research findings help e-marketplace providers manage factors of buying and selling to comply with the needs of buyers and sellers, which will increase the number of buyers and sellers, help generate long-term profits for service providers, and increase the country's financial value.

• Journal for History of Mathematics
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• v.17 no.1
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• pp.109-118
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• 2004

This study estimated direct factors that have effect to completion degree of game, and we constructs structural equation model that can evaluate completion degree of game using empirical analysis. For it, we obtained weight of components of game development by eigenvector method for analytic hierarchy process. Using calculated weight, we also let that components of game development is observating variable of X, and genre of game is observating variable of Y. And we constructs structural equation model with LISREL program

• Journal of Korean Society for Quality Management
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• v.28 no.4
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• pp.151-160
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• 2000

There can be a hierarchy among sensibility vocabularies by degree of abstractness. The higher degree of adstractness, the more difficult measuring satisfaction of sensibility. The objective of this study is to quantify customer satisfaction of his/her sensibility by using hierarchy of sensibility and Structural Equation Model(SEM).

• Research in Mathematical Education
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• v.7 no.4
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• pp.247-270
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• 2003

The purpose of this study is to build a model that explains the relationship between and among five variables that are student background, teacher background, home environment, school characteristic, and student mathematics achievement, using structural equation modeling. Another purpose of this study is to compare the relationships of these variables between the United States and Korea in 7th and 8th grades mathematics. Student, teacher, and school background files from population 2 in the TIMSS were selected for this study. The result of the study provides practical information for teachers, parents, school principals, and other people who are interested in improving student achievement, and also provides the information that may explain differences and similarities between the US and Korea in mathematics achievement.

• Science of Emotion and Sensibility
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• v.16 no.4
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• pp.567-578
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• 2013

The research is a correlational study to look for causes and factors relating to the design of written documents (professional reading materials) and identify those relationships that are useful for communication designers. The research specifically targeted the relationships between perception and reader's past experiences and appearance of the written documents. A preliminary survey, such as interviews, discussions, questionnaires and brainstorming sessions are conducted to establish the observable attributes related to perception which are reader's interests, importance of information and written documents complexity. Finally, the research used Structural Equation Model (SEM) to identify significant differences and analyze strong and weak correlations between these attributes. In general, the results of the study shows that the attribute appearances of a written documents with excellent visualizations for information display shows a strong correlation with interests while the attributes importance is weakly correlated with the complexity of the documents.

• Computational Structural Engineering
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• v.2 no.4
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• pp.111-116
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• 1989

Methods for the estimation of the coefficient matrices in the equation of motion for a linear multi-degree-of-freedom structure are studied. For this purpose, the equation of motion is transformed into an auto-regressive and moving average with auxiliary input(ARMAX) model. The ARMAX parameters are evaluated using several methods of parameter estimation : such as the least squares, the instrumental variable, the maximum likelihood and the limited information maximum likelihood methods. Then the parameters of the equation of motion are recovered therefrom. Numerical example is given for a 3-story building model subjected to an earthquake exitation.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.366-375
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• 2007

Our nation has a problem with discrimination of income distribution and inefficient of resources distribution caused by real estate price rising from a sudden economy growth and industrialization. Specially, in recent years, there is a great disparity of condominium price between the north and south of the Han river. Because the housing price is deciede by the immanent value of a house and neighborhood effects of the regional where the house is situated, the housing price is occurred difference. In this study, I analyzed the differences of housing price determinants about condominium developments in the old and new residential areas, and found the important factors that affect the condominium price using Structural Equation Modeling(SEM) The purpose of study is to analyze the influence of various factors of housing price. Also, this study tried to predict real estate market and to establish previous effective real estate policy.