• Journal of Labour Economics
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• v.34 no.2
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• pp.79-107
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• 2011

This study investigates the status of English scores in the Korean labor market. We provide an empirical explanation of how English scores affect labor performances in Korea. Specifically, we focus on the effects of TOEIC scores on college graduates' job opportunity and wage premium. Our empirical tests for TOEIC scores are implemented in three dimensions: (1) Screening effects (2) Signaling effects (3) Wage effects. The results are as follows. First, we find the positive correlation between TOEIC scores and job opportunities, which implies that TOEIC scores play an important role in employee selection process. Second, our tests give the same results when it comes to job seeker's use of TOEIC scores as signaling instrument. That is, high TOEIC scores have positive signaling effects in the labor market. However, there also exists disadvantage effect of low TOEIC scores, in that job applicants with TOEIC scores below certain level are even more disadvantageous than those with no TOEIC scores. Finally, wage premium of TOEIC scores are found, even when other variables (e.g. GPA) are controlled or we use the instrumental variable estimate.

• Journal of Music and Human Behavior
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• v.10 no.2
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• pp.1-33
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• 2013

The aim of this study was to systematically review the latest clinical trials in music medicine and medical music therapy for pediatric patients. Thirteen databases were searched to obtain randomized controlled/crossover design studies published between the year 2000 and 2012 in English language. Out of 1012 articles retrieved in the initial search, fifteen studies were identified based on an exclusion criteria. Overall, selected articles involved children 1 month to 18 years, sample size of 11 to 150, and total participants of 987. Studies were classified and compared as music medicine or music therapy studies through a systematic synthesis assessing general characteristics, methodological quality, measured outcomes, types of interventions and the study results. Seven music medicine and eight music therapy studies measured seven dependent variables using thirty-six different measurement tools with a large heterogeneity in the selection, type, and method of music interventions. Evaluation of the methodological quality revealed that many studies did not provide a full report of the research method, and did not meet some or most methodological standards, such as randomization, allocation concealment, double or partial blinding, and intention to treat analysis. Although overall research results were positive if not significant, poor methodological quality and heterogeneity in design and intervention strategies raise the question of research bias and trustworthiness issues. The systematic review concluded that music may have a valuable clinical effect in addressing the physical and psychosocial needs of hospitalized children, although more rigorous, homogeneous and replicable studies are greatly needed.

• Journal of the Korean Society of Safety
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• v.18 no.1
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• pp.116-122
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• 2003

Monte Carlo method is one of the powerful engineering tools especially to solve the complex non-linear problems. The Monte Carlo method gives approximate solution to a variety of mathematical problems by performing statistical sampling experiments on a computer. One of the methods to predict the time dependent failure probability of one of the bridge components or the bridge system is a lifetime function. In this paper, FORTRAN program is developed to predict the failure probability of bridge components or bridge system by using both system reliability and lifetime function. Monte Carlo method is used to generate the parameters of the lifetime function. As a case study, the program is applied to the concrete-steel bridge to predict the failure probability.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.468-477
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• 2017

The purpose of this study was to exam nursing students to verify the effects of self-directed learning readiness, teacher-student interaction, educational performance, stress and learner motivation on learner satisfaction. The study population consisted of second and third year nursing students at E university located in S city. Data were collected between June 15, 2016 to June 24, 2016, and questionnaire comprised items to measure general characteristics, learner motivation, teacher-student interaction, self-directed learning readiness, educational performance, and learner satisfaction. A total of 132 students were included for the final analysis. Learner satisfaction was positively correlated with self-directed learning readiness (r= .21, p= .018), teacher-student interaction (r= .39, p<.001), educational performance (r= .21, p= .014), and learner motivation (r= .75, p<.001). In addition, learner motivation was positively correlated with self-directed learning readiness (r= .24, p= .005), teacher-student interaction (r= .38, p <.001), and educational performance (r= .21, p= .018). Finally, learner motivation and teacher-student interaction were found to explain 59.7% of the variance of learner satisfaction. Our findings suggest strategies and interventions that boost learner motivation and teacher-student interaction which are required to improve learner satisfaction in nursing education.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.3
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• pp.687-692
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• 2012

Colorectal cancer screening in adults aged 40 and over our country and understand the relationship between health behaviors and those affecting the implementation of a colorectal cancer screening was conducted to determine the parameters. National Health and Nutrition Examination Survey tool 4th secondary data were used. The main variable levels of public health, health-related awareness and behavior, food and nutritional status were surveyed about 12,528. Colorectal Cancer Screening adults aged 40 and over who target male and female study subjects were 4703. Compliance findings that are relevant to colorectal cancer screening variables include gender, age, residence, or taking supplements, Health Screening, whether history, such as cancer, respectively. Marital status, education level, household monthly gross income, private insurance, whether regular exercise was not associated with the. In order to increase colorectal cancer screening among the expanding free cancer screening and cancer screening performed a systematic test of the simple and effective education and publicity will be carried out.

• Geophysics and Geophysical Exploration
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• v.1 no.3
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• pp.170-175
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• 1998

A systematic methodology is developed for the prediction of the lithology using electrofacies classification from wireline log data. Multivariate statistical techniques are adopted to segment well log measurements and group the segments into electrofacies types. To consider corresponding contribution of each log and reduce the computational dimension, multivariate logs are transformed into a single variable through principal components analysis. Resultant principal components logs are segmented using the statistical zonation method to enhance the quality and efficiency of the interpreted results. Hierarchical cluster analysis is then used to group the segments into electrofacies. Optimal number of groups is determined on the basis of the ratio of within-group variance to total variance and core data. This technique is applied to the wells in the Korea Continental Shelf. The results of field application demonstrate that the prediction of lithology based on the electrofacies classification works well with reliability to the core and cutting data. This methodology for electrofacies determination can be used to define reservoir characterization which is helpful to the reservoir management.

• Journal of Korea Water Resources Association
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• v.33 no.6
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• pp.671-679
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• 2000

Regionalization technique using flow duration curve and spatial interpolation algorithm is developed for the purpose of estimating daily flow time series at ungauged station. In this study, we assumed a part of 8 gauging stations of Nakdong River basin as ungauged stations. Then, we generated flow duration curves and daily flow hydrographs by regionalization technique at ungauged stations. And we compared generated and observed hydrographs. The simulation results showed that the observed flows were well simulated by the proposed method and that the general patterns of the observed flows were satisfactorily reproduced by the regionalization technique. From these results, it is possible that we obtain daily flow information without application of labour intensive and time consuming deterministic models, which require complicating quantification of model parameter values. And we compared the regionalization techniques with the specific discharge method which is the most general approach in hydrological practice in Korea. The results showed that the regionalization technique was superior to specific discharge method.method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.7
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• pp.978-984
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• 2018

Structural equation modeling is pointing to statistical procedures that simultaneously perform path analysis and confirmatory factor analysis. Today, this statistical procedure is an essential tool for researchers in the social sciences. There are as AMOS, LISREL and PLS representative tools that can perform structural equation modeling analysis. AMOS provides a convenient graphical user interface for beginners to use. PLS has the advantage of not having a constraint on normal distribution as well as a graphical user interface. Therefore, we compared and analyzed the three most commonly used tools (applications) in social sciences. Based on structural equation modeling, confirmatory factor analysis was performed using the IBM AMOS Ver. 23, the LISREL 8.70 and the SmartPLS 2.0. The comparative results show that LISREL has the highest explanatory power of dependent variables than other analytical tools. The path coefficients and T-values presented by the analysis results showed similar results for all three analysis tools. This study suggests practical and theoretical implications based on the results.

• Clinical and Experimental Pediatrics
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• v.52 no.9
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• pp.1005-1014
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• 2009

Purpose:Epilepsy of child may cause high level of psychosocial difficulties for parents including stigmatization and stress and therefore worsen their quality of life (QOL). The purpose of this study was to evaluate the mediating effect of perceived stigma against epilepsy on QOL among parents with epileptic child. Methods:Two hundred and sixty parents of epileptic child recruited from five separated university hospital child neurology clinics specializing in epilepsy completed a demographic questionnaire, a medical questionnaire, a perceived stigma questionnaire and the Ro's Quality of Life Inventory, a popular tool for evaluating QOL of adults in Korea which is composed of 6 domains and 47 questions. Data was analyzed with SPSS 14.0 program using frequency analysis and descriptive analysis and with AMOS 7.0 program using Structural Equation Model (SEM) analysis. Results:The level of parents' QOL was relatively fair. SEM analysis on the quality of life level of parents showed that all variables (especially having religion, the monthly income, employment state, age of child, the leisure time, the perceived stigma level against epilepsy, and seizure frequency) directly affect the quality of life level of parents and that disease-related variables also affect the quality of life level of parents indirectly through the mediating factor (the perceived stigma), where the indirect effect is large with the existence of combined disabilities. The total effect on the quality of life level of parents is large with the existence of combined disabilities, the perceived stigma level, the leisure time, having religion, and the monthly income. Conclusion:The results of this study indicated that many factors including parents' perceived stigma may affect the quality of life of parents with epileptic children directly, and that some disease-related factors may affect indirectly through a mediating factor, the perceived stigma. Multidisciplinary collaboration would be imperative for their welfare.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.247-253
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• 2017

Feature selection or variable selection is a data mining scheme for selecting highly relevant features with target concept from high dimensional data. It decreases dimensionality of data, and makes it easy to analyze clusters or classification. A feature selection scheme requires an evaluation function. Most of current evaluation functions are based on statistics or information theory, and they can evaluate only for single feature (one-dimensional data). However, features have interactions between them, and require evaluation function for multi-dimensional data for efficient feature selection. In this study, we propose modification of FSDD evaluation function for utilizing evaluation of multiple features using extended distance function. Original FSDD is just possible for single feature evaluation. Proposed approach may be expected to be applied on other single feature evaluation method.