• Journal of Korean Academy of Nursing
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• v.44 no.3
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• pp.259-269
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• 2014

Purpose: The purpose of this study was to construct and test a structural equation modeling on burnout of clinical nurses based on CS-CF model. Methods: A survey using a structured questionnaire was conducted with 557 clinical nurses. Data were analyzed using structural equation modeling. Results: The modified hypothetical model yielded the following ${\chi}^2=289.70$, p<.001, RMSEA=.09, GFI=.93, TLI=.91, CFI=.94, PCFI=.65, AIC=363.21, SRMR=.05 or less and showed good fit indices. Nursing work environment, patient safety culture and resilience showed indirect effects on burnout while compassion fatigue and compassion satisfaction had direct effects. Conclusion: Results of this study suggest that compassion fatigue must be decreased and compassion satisfaction has to be increased, while burnout is lowered by enhancing the clinical nursing work environment, patient safety culture and resilience. In addition, more variables and longitudinal studies are necessary to validate the clear cause-and-effect relationship between the relevant variables.

• Journal of Digital Convergence
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• v.6 no.2
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• pp.145-155
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• 2008

The purpose of this research is to investigate the effects of the Cyber Home Learning Motivation Factors on its satisfaction and activation through surveying the actual conditions among the students present at a cyber home learning class. For this study, samples were collected around the end of a term from the students(300 in pilot test and 248 in main test) who were taking Cyber Home Lecture at high school level. Structural equation model by AMOS 5.0 was used to analyze the data. The result of our analysis is summarized as follows. First, the cyber home learning satisfaction has a positive effect on the cyber home learning activation. Second, the 4 factors of the cyber home learning motivation: relevancy, self-confidence and satisfaction has a positive effect on the cyber home learning satisfaction. But the factor 'attention' has no positive effect on the cyber home learning satisfaction. Therefore, the Good Cyber Home Learning Contents should provide the information quality which meets 3 conditions: relevancy, self-confidence and satisfaction.

• Journal of Families and Better Life
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• v.28 no.2
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• pp.111-121
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• 2010

This study examined the variables that influence career maturity in elementary school students and tested a hypothetical structural equation model relating the variables to career maturity. The subjects were 2,771 fourth-grade children(1,494 boys and 1,277 girls) who participated in a Korea Youth Panel Survey(KYPS) in 2004. Data were analyzed through frequency, percentages, Pearson's correlations using SPSS 15.0and structural equation modeling with AMOS7.0. The findings are as follows. The proposed model, as revised, demonstrated the effectiveness of an analysis of the structural equation model, and illustrated that the socio-economic status of parents has only an indirect influence on children's career maturity via relationship with parents, children's self-image or academic work. In addition, relationship with parents, children's self-image, and academic work independently affected children's career maturity both directly and indirectly. Based on the causal relationships among these related variables, the findings reveal that the best pathway towards children's career maturity is in the order of socio-economic status, relationship with parents, children's self-image, and children's academic work.

• Journal of Families and Better Life
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• v.31 no.1
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• pp.39-48
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• 2013

This study examined the variables that influence middle school students' level of life satisfaction and tested a hypothetical structural equation model relating the variables to middle school students' level of life satisfaction. The subjects were 2,829 (1,411 boys and 1,418 girls) pupils who participated in the Korean Survey on the Familial Consciousness of Youth and Parents (KSYC-Familial Consciousness) in 2010. Data were analyzed through frequency, percentages, Pearson's correlations using SPSS 18.0 and structural equation modeling with AMOS 7.0. The findings are as follows. The proposed model, as revised, demonstrated the effectiveness of an analysis of the structural equation model and illustrated that all three variables (fathers' parenting behavior, communication with fathers, self-concept) indicated a direct or indirect influence on middle school students' level of life satisfaction. Fathers' parenting behavior had the greatest total effect on middle school students' life satisfaction. Fathers' parenting behavior, communication with fathers and self-concept explained 59% of the total variance of middle school students' life satisfaction. The implications for future studies are also discussed.

• Research in Community and Public Health Nursing
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• v.30 no.4
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• pp.471-483
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• 2019

Purpose: The purpose of this study was to identify factors associated with the intention of the prostate cancer screening (PCS). To achieve this purpose, a structural equation model was established based on the health belief model and the theory of planned behavior. Methods: The subjects of this study were 260 male participants who were between 40 and 74 years old and had not taken the PCS. Data were collected using a structured self-report questionnaire (i.e., perceived benefits, perceived barriers, attitude, subjective norms, perceived behavior control, and intention of the PCS). Descriptive statistics, reliability analysis, correlation analysis, confirmatory factor analysis, and fitness test were used to test hypotheses. Results: The intention of the PCS was directly affected by the perceived behavior control and indirectly influenced by the perceived benefits. The structural equation model also showed that the perceived behavior control explained 78% of the intention. Conclusion: To raise the intention to take the PCS, it is necessary to increase the confidence of a subject that may control its difficulties and inform the perceived benefits of the PCS to a subject.

• Journal of the Ergonomics Society of Korea
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• v.36 no.3
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• pp.245-254
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• 2017

Objective: This study aims to investigate the effects of organizational support, risk perception and job satisfaction on safety consciousness in confined space works. Background: Confined space works are rated as hazardous works with high injury frequency and fatalities. But there were few researches for the occupational injury of the confined space workers. Method: Questionnaire survey targeting 236 workers working in confined spaces were carried out to construct the structural equation model on safety consciousness. The participants were all male workers, and they install and maintain or clean facilities mainly in the confined spaces. Results: A structural equation model for safety consciousness was proposed, and validated based on perceived organizational support, risk perception and job satisfaction factors. Perceived 'organizational support' contributed significantly to 'worker's safety consciousness' both directly and indirectly. Also, perceived 'worker's safety consciousness' was also affected by perceived 'job satisfaction' and 'risk perception'. In terms of magnitude of relationships, the direct effect of perceived 'job satisfaction' on 'worker's safety consciousness' was the greatest among the interrelationships among latent factors. Conclusion: Workers' safety consciousness can function as a leading indicator for safety and hazard prevention of workers. Application: The results can be used in developing safety prevention programs for confined space workers.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.8
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• pp.1240-1251
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• 2007

The purpose of this study was to examine the relationship between weight of fabrics and texture and sensibility and preference of consumers for F/W women's jacket fabrics. Structural Equation Model(SEM) using AMOS program was conducted to analyze the relationships. Then, this study aimed to provide useful information in planning designing fabrics through predicting the subjective characteristics analyzed. The main survey was developed the 7-point semantic differential scale of subjective texture, sensibility and preference. Fifty trained female panelists of 20-30 years old were participated and questionnaire method was used with 20 kind of fabric. The evaluation methods such as by the sense of sight & touch were used when fabrics were estimated subjectively. When evaluated by the sense of sight & touch, fabric's weight did not have effect directly on preference, but had effect indirectly on preference through the texture and the sensibility..

• Journal of the Korean Society of Food Culture
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• v.22 no.3
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• pp.309-314
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• 2007

The purpose of this study was to measure the effects of attitude toward fish eating, Health involvement and convenience on the relationship between fish consumption and age. A total of 235 questionnaires were completed. Structural equation model was used to measure the causal relationships between constructs. Results of the study demonstrated that the structural equation analysis result for the data also indicated excellent model fit. The effects of age on involvement and convenience were statistically significant. The effects of age on attitude and consumption was not statistically significant. As expected, the involvement had a significant effect on attitude and consumption. The attitude and convenience had a significant effect on consumption. The effect of involvement on convenience was not statistically significant. Moreover, the attitude, involvement and convenience played a mediating role in the relationship between consumption and age. The involvement played a mediating role in the relationship between attitude and age. The involvement played no mediating role in the relationship between convenience and age. The attitude and convenience played no mediating role in the relationship between consumption and involvement.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.974-982
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• 2004

The purpose of this study was to examine the influence of belief in body control on appearance satisfaction using structural equation modeling. In the structural equation model, self-esteem was included as a common predictor variable of belief in body control and appearance satisfaction, and the ideal body type and perceived body type were included as mediator variables. The data was collected from 96 female college students in the State of Washington, United States, Using AMOS 4, confirmatory factor analyses were conducted to fit the measurement models, and then the fit of the structural model was examined. The results of this study are as follows: The indirect effect of belief in body control on appearance satisfaction through its negative effect on ideal body type was significant. Yet, the direct path of belief in body control to appearance satisfaction and the indirect path through their common relationships with self-esteem were found not significant. These results indicate that higher body control belief may lead to lower appearance satisfaction due to the decreased size of ideal body type.

• 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.