• Journal of Korean society of Dental Hygiene
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• v.9 no.4
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• pp.620-632
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• 2009

Objectives : The present study purposed to survey the oral health-related quality of life among elderly in metropolis Methods : We had individual interviews and oral survey using a questionnaire with 336 elderly who were using seniors' centers in Metropolitan City during the period from the $9^{th}$ to $31^{st}$ of July, 2007. Results : Factors of GOHAI showed the significant relation with types of health insurance, a large number of medication, perceived oral health status, perception of dental care needs those with pains in the temporomandibular joint, the number of natural teeth and the explanatory power or the final model was 25.5%. Factors of OHIP-14 showed the significant relation with types of health insurance, a large number of medication, perception of dental care needs those with pains in the temporomandibular joint, gingival bleeding, the number of natural teeth and the explanatory power or the final model was 26.6%. Conclusions : Oral health-related quality of life among elderly as factors by general characteristics of study subjects, by perceived heath status and oral health status, perceived oral symptoms and oral health status that were relevant. Accordingly, for the healthy maintenance of elders' natural teeth, it is considered necessary to develop and execute continuous oral health management systems and oral health education programs that promote preventive activities and enhance the perception of oral health.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.3
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• pp.119-130
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• 2010

The Genetic Algorithm has been frequently applied by many researchers as one of the population surface modelling tool in estimating the regional population based on the gridded spatial system. Taking the East-Hwasung area as the case, this study first builds a gridded population data based on the KLIS and eAIS databases as well as municipal population survey data, and then constructs the attribute values of the explanatory variables by way of GIS tools. The GA model is run to maximize its fitness function measuring the correlation coefficient between the observed and predicted values of the 70 population cells. It is shown that the GA output predicted reasonably consistent and meaningful coefficient estimates for the explanatory variables of the model.

• The Korean Journal of Applied Statistics
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• v.16 no.1
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• pp.87-100
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• 2003

Most of statistical data are generated by a set of dynamic, stochastic, and simultaneous relations. An important question is how to specify statistical models so that they are consistent with the dynamic feature of those data. A general hypothesis is that the lagged effect of a change in an explanatory variable is not felt all at once at a single point in time, but The impact is distributed over a number of future points in time. In other words, current control variables are determined by a function that can be reduced to a distributed lag function of past observations. It is possible to explain the relationship between variables in different points of time and to estimate the long-run impacts of a change in a variable on another if time lag series of explanatory variables are incorporated in the model specification. In this study, distributed lag structure is applied to the domestic stock market model to capture the dynamic response of the market by exogenous shocks. The Domestic market is found more responsive to the changes in foreign market factors both in the short and the long run.

• Journal of The Korean Association For Science Education
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• v.36 no.4
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• pp.551-561
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• 2016

The purpose of this study is to investigate both theoretically and empirically the roles of models in abductive reasoning for scientific problem solving. The context of the study is design-based research the goal of which is to develop inquiry learning programs in the domain of earth science, and the current article dealt with an early process of redesigning an abductive inquiry activity in geology. In the theoretical study, an extensive review was conducted with the literature addressing abduction and modeling together as research methods characterizing earth science. The result led to a tentative scheme for modeling-based abductive inference, which represented relationships among evidence, resource models, and explanatory models. This scheme was improved by the empirical study in which experts' reasoning for solving a geological problem was analyzed. The new scheme included the roles of critical evidence, critical resource models, and a scientifically sound explanatory model. Pedagogical implications for the support of student reasoning in modeling-based abductive inquiry in earth science was discussed.

• Tunnel and Underground Space
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• v.29 no.5
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• pp.356-366
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• 2019

Various TBM performance prediction models have been developed and most of them were considered penetration rate only. Despite the fact that some models have suggested equations and charts for estimating the utilization factor, but there are a few studies to estimate the TBM utilization factor. Utilization factor is affected by the type of TBM machine, operation, maintenance of machine, geological conditions, contractor experience and other factors. In this study, more than 100 case studies are analyzed to determine the relationship between the utilization factor and RMR, geological conditions, TBM types, tunnel length, and TBM diameter. Simple and multiple linear regression analysis are performed to develop predictive models for the utilization factor. The predictive model with explanatory variables of geological conditions, TBM types, tunnel length, and TBM diameter does not give a good correlation. The predictive models with explanatory variable of RMR give higher values of the coefficient of determination.

• Journal of Home Health Care Nursing
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• v.30 no.2
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• pp.163-173
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• 2023

Purpose: The aim of this descriptive research study was to identify the factors affecting the ethical decision-making of nursing students. Methods: A convenience sample of 193 nursing students from three nursing colleges in D city who were engaged in clinical practice completed an online Google Forms questionnaire from September 9 to September 20, 2021. Using SPSS 23.0, data were analyzed with descriptive statistics, an independent t-test, a one-way ANOVA, Scheffé's test, Pearson's correlation coefficient, and a multiple regression analysis. Results: The influencing factors of ideal ethical decision-making were guilt (β=.38, p<.001), awareness of the nurses' Code of Ethics (β=.18, p=.023) and motivation for entering school, among general characteristics (β=-.18, p=.033). The explanatory power of the model was 22.2%. Further, the influencing factors of realistic ethical decision-making were ideal ethical decision-making (β=.26, p=.001) and grade (among general characteristics) (β=.15, p=.029); the explanatory power of the model was 17.9%. Conclusion: Various educational tools and programs pertaining to making ideal and ethical decisions must be enhanced to promote ethical choices in clinical areas and realistic ethical decision-making ability to actually make such choices. This focus may enable nurses to improve their nursing professionalism in the future.

• Journal of Korea Trade
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• v.27 no.3
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• pp.161-178
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• 2023

Purpose - purpose of this paper is to analyze the effects of the investment facilitation levels of 11 RCEP countries (excluding Myanmar, Brunei, and Laos due to lack of data) on China's outward foreign direct investments(OFDI) using balanced panel data from 2010 to 2019. Design/methodology - First, four investment facilitation measurement indicators (regulatory environment, infrastructure, financial market, ease of doing business) were selected,investment facilitation scores of the 11 countries were obtained using the principal component analysis, an investment gravity model was established with nine explanatory variables (investment facilitation level, market size, population, geographic distance, degree of opening, tax level, natural resources, whether the country is an APEC member or not, and whether a valid bilateral investment treaty with China has been concluded) were used to establish an investment gravity model, and regression analyses were conducted with OLS and system GMM. Findings - The results of the regression analyses showed that investment facilitation levels had the greatest effect on China's OFDI, all four first-level indicators had positive effects on China's OFDI, and among them, the institutional environment had the greatest effect. In addition, it was shown that explanatory variables such as market size, population, geographical distance, degree of openness, natural resources, and whether or not a valid bilateral investment treaty has been concluded would have positive effects on China's OFDI, while tax levels and APEC membership would impede China's OFDI to some extent. Originality/value - Since the Regional Comprehensive Economic Partnership (RCEPT) came into effect not long ago, there are not so many studies on the effects of investment facilitation levels of RCEP member states on China's OFDI, and the investment facilitation measurement index constructed in this paper is relatively systematic and scientific because it includes all the contents of investment facilitation related to the life cycle of company's foreign direct investments.

• Journal of Preventive Medicine and Public Health
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• v.55 no.3
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• pp.297-306
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• 2022

Objectives: The incidence of cardiovascular disease (CVD) mortality is increasing in developing countries. This study aimed to decompose the socioeconomic inequality of CVD in Iran. Methods: This cross-sectional population-based study was conducted on 20 519 adults who enrolled in the Ardabil Non-Communicable Disease cohort study. Principal component analysis and multivariable logistic regression were used, respectively, to estimate socioeconomic status and to describe the relationships between CVD prevalence and the explanatory variables. The relative concentration index, concentration curve, and Blinder-Oaxaca decomposition model were used to measure and decompose the socioeconomic inequality. Results: The overall age-adjusted prevalence of CVD was 8.4% in northwest Iran. Multivariable logistic regression showed that older adults, overweight or obese adults, and people with hypertension and diabetes were more likely to have CVD. Moreover, people with low economic status were 38% more likely to have CVD than people with high economic status. The prevalence of CVD was mainly concentrated among the poor (concentration index, -0.077: 95% confidence interval, -0.103 to -0.060), and 78.66% of the gap between the poorest and richest groups was attributed to differences in the distribution of the explanatory variables included in the model. Conclusions: The most important factors affecting inequality in CVD were old age, chronic illness (hypertension and diabetes), marital status, and socioeconomic status. This study documented stark inequality in the prevalence of CVD, wherein the poor were more affected than the rich. Therefore, it is necessary to implement policies to monitor, screen, and control CVD in poor people living in northwest Iran.

• Journal of Korea Trade
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• v.27 no.2
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• pp.47-60
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• 2023

Purpose - This paper assesses the trade potential and efficiency of Korea and China in the aquatic products trade. Trade efficiency and potential are the main factors that affect the growth of a country's trade. In this study, a time-varying stochastic frontier trade gravity model was constructed to analyze the trade potential and efficiency between Korea and China. By integrating the results of trade theory and empirical analysis, measures and suggestions were proposed to encourage the release of trade potential of fish exports between Korea and China. Design/methodology - In this paper, GDP per capita instead of economic size was chosen as an explanatory variable, and population size and relative distance were selected as explanatory variables to measure trade potential. For trade non-efficiency terms, regional organizations, political factors, and economic factors were mainly considered, and variables such as free trade agreements, political stability, regulatory quality, government efficiency, currency freedom, investment freedom, financial freedom, and trade freedom were selected. Panel data for South Korea and 14 aquatic products trading partners (including China) from 2002 to 2020 were used in the empirical analysis. Findings - In the past 19 years, South Korea's export trade potential of aquatic products to China has never been lower than 70%. It was above 90% from 2006 to 2018, and has been at a high level for a long time. This shows that China's aquatic product market has large potential for development. Originality/value - This study examines the effectiveness and potential of South Korea's exports of aquatic items to China in a methodical and comprehensive empirical manner. The evaluation of the export trade potential of South Korea's aquatic goods to China is more precise when the effects of regional organization, political, and economic variables are taken into account in the trade non-efficiency term of the stochastic frontier gravity model. At the same time, we propose to increase the scale of South Korea's aquatic products trade from the perspective of China's demand. This issue of trade studies is underexplored both empirically and in theory, although the issue has long been important to Korean and world trade.

• Research in Community and Public Health Nursing
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• v.31 no.4
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• pp.459-471
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• 2020

Purpose: The purpose of this study is to construct and validate a posttraumatic growth structural model for firefighters based on Calhoun and Tedeschi's model (2006). Methods: The research data was collected from 200 firefighters working in Gyeongsang-do, Jeolla-do, and Gyeonggi-do. The participants completed an anonymous survey asking about ego-resilience, active coping, family support, organizational support, self-exposure, deliberate rumination, posstraumatic stress and posttraumatic growth. Results: The model selected as a final model was the one that supports 10 hypotheses out of 13 hypotheses. In the final model, deliberate rumination (β=.59, p<.001) had a significant effect in the posttraumatic growth of firefighters. Active coping, organizational support, self-exposure, ego-resilience and posttraumatic stress had a significant indirect effect. The explanatory power of these variables was 36.0%. Conclusion: The results of the survey show that it is important to develop a strategy to strengthen deliberate rumination. In addition, encouraging deliberate rumination through organizational support and self-exposure can promote posttraumatic growth of firefighters.