• Journal of Wetlands Research
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• v.7 no.3
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• pp.41-48
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• 2005

Generally the estimation of effective rainfall is important in the rainfall-runoff analysis. So, we must pay attention to selecting more accurate effective rainfall estimation method. Although there are many effective rainfall estimation methods, the NRCS method is widely used for the estimation of effective rainfall in the ungaged basin. However, the NRCS method was developed based on the characteristics of the river basin in USA. So, it may have problems to use the NRSC method in Korea without its verification. In the NRCS method, the antecedent precipitation of 5-day is usually used for the estimation of effective rainfall. The main purpose of this study is to investigate the suitable antecedent precipitation day in Korea river basin through the case study. This study performs the rainfall-runoff simulation for the Tanbu river basin by HEC-HMS model under the condition of varying the antecedent precipitation day from 1-day to 7-day and performs goodness of fit test by Monte Carlo simulation method. The antecedent precipitation of 2-day shows the most preferable result in the analysis. This result indicates that the NRCS method should be applied with caution according to the characteristics of the river basin.

• Journal of Korean Academy of Nursing
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• v.53 no.1
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• pp.129-143
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• 2023

Purpose: This study aimed to examine the mediating effects of clinical nurses' job crafting on organizational effectiveness based on the job demands-resources model proposed by Bakker and Demerouti (2017). Methods: The participants consisted of 393 nurses working in nursing units of a tertiary general hospital located in Cheongju region. The data, collected using questionnaire from August 9 to August 20, 2021, were analyzed using SPSS 23.0 and AMOS 27.0. Results: The goodness-of-fit (GoF) test results on the modified model (χ² = 2.7, GFI = .94, SRMR = .03, RMSEA = .06, NFI = .92, CFI = .94, TLI = .92, AGFI = .90), indicated that the GoF index satisfied the recommended level. Regarding the effects of each variable on organizational effectiveness, job crafting showed statistically significant direct (β = .48, p < .001), indirect (β = .23, p < .001), and total effects (β = .71, p < .001). Burnout showed statistically significant direct effect (β = - .17, p < .001). Work engagement showed statistically significant direct (β = .41, p < .001) and total effects (β = .41, p < .001). The factors explaining organizational effectiveness were job crafting, burnout, and work engagement, which had an explanatory power of 76.7%. Conclusion: Nurses' job crafting is an important mediating factor for enhancing the organizational effectiveness of nursing organizations. Hospitals should develop job-crafting success cases and related education and training programs as a strategy for enhancing the job crafting of nurses and, consequently organizational effectiveness.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.3
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• pp.365-372
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• 2013

In this study, a statistical method for evaluating the fatigue life of a vehicle muffler was used to obtain reliable fatigue data using a limited number of specimens. Cyclic bending tests were conducted using specimens manufactured to be exactly the same as the mufflers installed in cars that are currently in use. To estimate the fatigue life by comparing the data obtained during the fatigue tests, the most suitable probability density function for the normal, lognormal, and Weibull distributions was selected. A goodness-of-fit test was performed on the probability distributions, and then a Weibull distribution using the least square method was selected. By using the selected Weibull distribution, the probability-moment-life curves (P-M-N curve) reflecting the fatigue characteristics were suggested as the data for the reliable design of a muffler.

• Spatial Information Research
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• v.23 no.5
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• pp.65-73
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• 2015

Newtown Business of Seoul had been performed to reduce deterioration of Gangbuk and economic inequality between Gangnam and Gangbuk. According to this, Eunpyeong-gu was set as test-bed for Newtown business and Newtown business had been completed until 2013. This study aims to analyze the influence of social and economical factors which affect land price using GWR (Geographically Weighted Regression) considered spatial effect. As a result of analysis, GWR model demonstrated a better goodness-of-fit than OLS (Ordinary least square) model typically used in most study. Furthermore, AIC value and Moran's I of residual prove that GWR model is more suitable than OLS model. GWR model enable to explain more detailed than global regression model as coefficient and sign show different value locally. In future, this research will be helpful to develop Eunpyeong-gu considering spatial characters and strength effectiveness of development.

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.331-339
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• 2020

The purpose of this study was to develop and validate future teacher competencies diagnosis tools required for pre-service teachers. In this study, the hypothesis model was established by hierarchizing basic competency and job competency in three dimensions such as knowledge, practice, and personality as teachers' competencies required in future society. Based on this hypothesis model, 54 preliminary questions were developed, and competencies diagnosis test was conducted for 237 pre-service teachers in J area, Korea. The results of this study are as follows: First, as a result of this study, a total of 53 questions were extracted, including 18 questions with 6 factors in the knowledge dimension, 17 questions with 6 factors in the practice dimension, and 18 questions with 6 factors in the personality dimension. Second, the goodness-of-fit of future teacher competencies diagnosis model required was verified, and convergence and discriminant validity were verified. The results of this study were discussed. Finally, the implications and suggestions for further research were presented.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.9
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• pp.4323-4326
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• 2016

Background: The cancer mortality-to-incidence ratio (MIR) has been established as an important measure of health disparities in local and global circumstances. Past work has corroborated a linkage between the colorectal cancer MIR and the World Health Organization (WHO) Health System ranking. The literature further documents many Asian countries having incomplete cancer registries and a lack of comprehensive colorectal cancer screening guidelines. Materials and Methods: The colorectal cancer MIR values for 23 Asian countries were calculated from data obtained from the 2012 GLOBOCAN database. The 2000 World Health Organization (WHO) Health System rankings were used as a proxy for health system infrastructure and responsiveness. A regression equation was calculated with the MIR as the dependent variable and the WHO Health System ranking as the independent variable. Predicted MIR values were next calculated based on the regression results. Actual MIR values that exceeded 0.20 from the predicted MIR were removed as 'divergent' points. The regression equation was then re-plotted. Goodness-of-fit for both regressions was assessed by the R-squared test. Results: Asian countries have a relatively wide colorectal cancer MIR range, from a minimum of 0.24 to a maximum of 0.86. For the full dataset, the adjusted R-squared value for this regression was 0.53. The equation was then used to calculate a predicted MIR, whereby two data points were identified as 'divergent' and removed. The adjusted R-squared for the edited dataset increased to 0.66. Conclusions: Asian countries have a marked range in their colorectal cancer MIR values and there is a strong correlationwith the WHO Health System ranking. These results corroborate the contribution of the MIR as a potentially robust tool in monitoring changes in colorectal cancer care for Asian nations.

• The Korean Journal of Applied Statistics
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• v.21 no.4
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• pp.571-580
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• 2008

The logistic regression analysis is widely used in the area of customer relationship management and credit risk management. It is well known that the maximum likelihood estimation is not appropriate when multicollinearity exists among the regressors. Thus we propose the logistic principal components regression to deal with the multicollinearity problem. In particular, new method is suggested to select proper principal components. The selection method is based on the condition index instead of the eigenvalue. When a condition index is larger than the upper limit of cutoff value, principal component corresponding to the index is removed from the estimation. And hypothesis test is sequentially employed to eliminate the principal component when a condition index is between the upper limit and the lower limit. The limits are obtained by a linear model which is constructed on the basis of the conjoint analysis. The proposed method is evaluated by means of the variance of the estimates and the correct classification rate. The results indicate that the proposed method is superior to the existing method in terms of efficiency and goodness of fit.

• Korean Journal of Adult Nursing
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• v.26 no.2
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• pp.149-158
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• 2014

Purpose: The purpose of this study was to determine whether Selection, Optimization and Compensation (SOC) Strategy mediated the relationship between job stress and health promoting behaviors among nurses. Methods: A descriptive causal relationship research design was used. 245 subjects recruited from the five general hospitals, which have over 500 beds in Seoul and Kyunggi-do, participated in the study by completing a survey which included questions about SOC strategy, job stress and health promoting behaviors. t-test, ANOVA, Pearson's correlation coefficient and multiple regression were used to analyze the data. SPSS/WIN 20.0 was used for all analysis. Results: The mean job stress score was 47.89; mean SOC strategy score was .71. 'Spiritual development' was the highest reported health promoting behavior with a mean of 3.57. Job stress was significantly and negatively related to health promoting behaviors. The result showed that all the mediating paths of SOC strategy were significant. The partial mediating model showed high goodness of fit demonstrating that the model was outstanding. Conclusion: SOC strategy mediated the relationship between job stress and health promoting behaviors. Applying better SOC strategies among nurses will increase flexibility in responding to job stress and will also better perform health promoting behaviors.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.593-598
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• 2017

In this paper, the factors that affect the festival satisfaction level were investigated by using the visitors of the 2016 Seoul Rose Festival as study subjects, and by understanding the factors that have high satisfaction levels, the satisfaction levels were evaluated and analyzed through data mining so as to allow an assessment of future festival satisfaction levels. Surveys were conducted on the visitors of the festival and a regression analysis was performed in order to test the goodness of fit of the collected data. Afterwards, data mining was used to analyze the assessment. As a result of the regression data, amenities were identified as affecting the festival satisfaction levels the most; and the data mining analysis results, as well, showed that the most important category affecting the festival satisfaction level was amenity, similar to the regression analysis.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.303-309
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• 2019

The purpose of this study was to inquire into the structural relations between teacher-student interactions, outcome expectancy, academic engagement which are perceived in a physical education class. To this end, this study selected a total of 442 copies of questionnaires as final valid samples using the convenience sampling method targeting middle school students at 4 schools in metropolitan area. For data processing, this study confirmed the goodness of fit test of the whole model using SPSS 20.0 and AMOS 20.0, and then did hypothesis testing; the study results are as follows: First, proximity, one of subfactor of teacher-student interactions, had significant effects on outcome expectancy and academic engagement whereas influence had no significant effects on it. Second, students' outcome expectancy had significant impacts on their academic engagement. Third, outcome expectancy had mediating effects on relations between teacher-student interactions (proximity) and academic engagement.