• Journal of Korean society of Dental Hygiene
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• v.9 no.3
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• pp.319-328
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• 2009

The levels of psychosocial stresses of dental hygienist were analyzed to reveal the various factors related to them. The self-administered questionnaires were performed, to 276 dental hygienist in Daejeon City. Univariate analysis and multiple regression were performed with survey results, in which a degree of psychosocial stress was dependent variable and others were independent variable. 1. In terms of various levels of psychosocial stress according to the higher level of stress was found in the group of lower age, unmarried, and without spare times for hobby activities, the group with shorter-term job career, lower salary, and stress was found in the group who think that their job is considered as low position or their job is not high position in society or their prospect about job is discouraging, the group without regularly exercise, without regularly eating habits, in the group with higher level of job demand, lower job autonomy, and lower social support from colleagues in work than their respective counterparts. 2. Concerning correlation between psychosocial stress and various factors, while level of stress was negatively correlated with age, job career, salary, socioeconomic status of oneself, socioeconomic status of dental hygienist, future status of dental hygienist, job autonomy, social support from superiors, social support from colleagues, social support, but it was positively correlated with job demand. 3. Multiple regression revealed that the factors which influence on psychosocial stress included hobby activities, sleeping hours, job demand, which has explanatory powers of 29.9%. Therefore, to reduce of stress of dental hygienists, it is required to develop an effective strategy that institutional support for improvement of job environments and research for them be revitalized.

• Journal of Korean Society of Transportation
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• v.34 no.2
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• pp.135-145
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• 2016

This study assumes a vehicle choice model based on the multinomial model and analyzes the vehicle choice behaviors of consumer. An SP survey targeting drivers was implemented and data was collected for model estimates, with the possible choice options of the survey takers limited to gasoline, HEV, PHEV, and EV vehicles. The explanatory variable mostly displayed a significance level of under 5%, and excluding variables for price and fuel the remaining variables were all consistent with the logical direction with the plus (+) sign and the results were determined to be rational. Consumers selecting mid-size & full-size vehicles are able to afford more than consumers that selected other vehicle types, so there was relatively little consideration given to low fuel costs when compared to vehicle price. For this reason, it was determined that for the full-size vehicle model the fuel variable could be disregarded. Socio-economic variables that were statistically significant were the age and infor variables for the sub-compact & compact, the age, infor and inc3 variables for the mid-sized & full-size vehicles.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.6
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• pp.87-96
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• 2014

Since markup is defined as price over marginal cost by Hall(1988), the New Keynesians have intensively applied its definition in elucidating the relationship between market structure and business cycle. In lots of literatures markups proved to be counter cyclical empirically and theoretically. At the same time many studies analysed the determinants for markup in relation with business cycles. This paper establishes the markup equation based on the constant returns to scale production function including intermediate goods with technology being assumed to be AR(1) process and estimates the industrial markups in the Korean 5 service industries over the period 1975:1-2010:4. The paper also analyzed the markup determinants using the autoregressive distributed lag scheme ADL(1,1) in which the dependent variable and the single explanatory variable are each lagged once.

• Environmental and Resource Economics Review
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• v.26 no.4
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• pp.473-498
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• 2017

This study examines the effect of environmental regulation considering the endogeneity on the productivity of Korean manufacturing industry based on the Porter hypothesis using data from the Mining and Manufacturing Survey, Survey of Research and Development in Korea, and Environmental Statistics Portal from 2003 to 2013 with fixed effect model. In order to eliminate the bias of the missing variables that may occur in the existing studies, we analyze factors affecting productivity such as market competition, R&D investment as explanatory variables. And, in order to eliminate measurement error and inverse causality, we use instrumental variable approach. The main results are as follows. First, our findings that the environmental regulation improve the productivity of Korean manufacturing in the long-run support the Porter hypothesis. Second, our findings suggest that measurement error and reverse causality are main sources of the endogeneity, while omitted variable is not. Finally, environmental technology R&D has reduced productivity in the short-run.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.443-452
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• 2018

The main objectives of this study are to examine the effects of social capital and anxiety on the depression of the adolescent and to examine the moderating effect of self-awareness on the relationship between social capital and depression, and anxiety and depression. To do this, we analyzed the data obtained from Social and Psychological Anxiety Survey of Korean Society in 2015. The subject is 4,724 adolescent aged 14-18 years. To investigate the moderating effects of variable, we conducted a hierarchial regression analysis and confirmed the explanatory force change. As a result of that, first, social capital, anxiety and self-awareness all had a direct effects on depression. This results show that the better social capital, the lower anxiety, and the higher self-awareness is, the lower depression is. Second, it was found that self-awareness was moderating variable in the relationship of social capital and depression, and the relationship of anxiety and depression. Based on this results, this study has proposed the implications and limitations of the study and suggestions for further study.

• Journal of Korean Academy of Nursing Administration
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• v.22 no.2
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• pp.109-118
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• 2016

Purpose: The aim of this study was to analyze relationships between perfectionism, burnout, and emotional intelligence in APN and to identify the mediating effect of emotional intelligence on the relationship between perfectionism and burnout. Methods: A structured self-report questionnaire was used to measure perfectionism, burnout, and emotional intelligence. Data were collected from 121 APN working in five advanced general hospitals and two general hospitals. Data were analyzed using descriptive statistics, Independent t-test, One-way ANOVA, Mann-Whitney U test, Pearson correlation and Hierarchical multiple regression with the SPSS/WIN 22.0 program. Results: Mean scores for each variable were: perfectionism 3.57 (on a 5-point scale), burnout 3.32 (on a 7-point scale), and emotional intelligence 5.00 (on a 7-point scale). Self-oriented perfectionism had a positive correlation with burnout, as did socially prescribed perfectionism. Emotional intelligence was a significant variable reducing burnout, as it also had a reverse buffering effect on the relationship between self-oriented perfectionism and burnout. Explanatory power of the final model based on variables was 34%. Conclusion: The results of this study suggest a mediating direction regarding burnout by demonstrating that emotional intelligence plays a direct and reverse buffering role to self-oriented perfectionism, which can be used to reduce burnout in APN.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2033-2038
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• 2016

Big data analysis, in the large amount of data stored as the data warehouse which it refers the process of discovering meaningful new correlations, patterns, trends and creating new values. The important issue of a meta-analysis is not the significance test, the effect size of the predictor variable on the criterion variable. We reviewed a total of 236 samples among 6 studies published on the topic related Collagen intake on skin between 2000 and 2016 in Korea. The results of the study are summarized as follows. First, we concluded that the path between before and after of Sebum (SB) had the largest effect size of (r = .416) Therefore, the effect of the Collagen intake intervention showed an explanatory power of 17 (%) about. Next, the path between before and after of Moisture (MS) had the higher the effect size of (r = .318). Thus, we present the theoretical and practical implications of these results.

• Journal of Preventive Medicine and Public Health
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• v.52 no.6
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• pp.355-365
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• 2019

Objectives: In rural areas of Korea, where public transportation infrastructure is lacking and alternative systems are poor, the elderly experience inconveniences in using healthcare, although their need is high. This study aimed to analyze the association between the convenience of transportation and unmet healthcare needs among the rural elderly. Methods: The data used were collected in the 2016 Community Health Survey among rural elderly individuals aged 65 or older. Dependent variable was the unmet healthcare needs, explanatory variable was the convenience of transportation. The elderly were divided into 3 groups: with no driver in the household, with a driver, and the elderly individual was the driver (the self-driving group). Covariates were classified into predisposing, enabling, and need factors. They included gender, age, education, income, economic activity, household type, motor ability, subjective health level, number of chronic diseases, anxiety/depression, and pain/discomfort. The data were analyzed using logistic regression and stratification. Results: A significant association was found between the convenience of transportation and unmet healthcare needs. When examined unadjusted odds ratio of the group with a driver in the household, using the group with no driver as a reference, was 0.61 (95% confidence interval [CI], 0.54 to 0.68), while that of the self-driving group was 0.34 (95% CI, 0.30 to 0.38). The odds ratios adjusted for all factors were 0.69 (95% CI, 0.59 to 0.80) and 0.79 (95% CI, 0.67 to 0.91). Conclusions: We confirmed a significant association between inconvenient transportation and unmet healthcare needs among the rural elderly even after adjustment for existing known factors. This implies that policies aimed at improving healthcare accessibility must consider the means of transportation available.

• Journal of the Semiconductor & Display Technology
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• v.18 no.4
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• pp.30-34
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• 2019

We analyzed how the features in plasma information based virtual metrology (PI-VM) for SiO₂ etching depth with variation of 5% contribute to the prediction accuracy, which is previously developed by Jang. As a single feature, the explanatory power to the process results is in the order of plasma information about electron energy distribution function (PI_EEDF), equipment, and optical emission spectroscopy (OES) features. In the procedure of stepwise variable selection (SVS), OES features are selected after PI_EEDF. Informative vector for developed PI-VM also shows relatively high correlation between OES features and etching depth. This is because the reaction rate of each chemical species that governs the etching depth can be sensitively monitored when OES features are used with PI_EEDF. Securing PI_EEDF is important for the development of virtual metrology (VM) for prediction of process results. The role of PI_EEDF as an independent feature and the ability to monitor variation of plasma thermal state can make other features in the procedure of SVS more sensitive to the process results. It is expected that fault detection and classification (FDC) can be effectively developed by using the PI-VM.

• Journal of the Health Care and Life Science
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• v.9 no.1
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• pp.41-49
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• 2021

The purpose of this study is to analyze the relationship between play experience, playfulness, and grit of pre-service early childhood teachers and to find out the factors that affect grit. For these, a survey was conducted using Google questionnaire targeting a total of 164 students in the 2nd and 3rd year of early childhood education department of colleges in Seoul, Chungnam and Jeonbuk. The results are as follows. First, as a result of analyzing general characteristics and differences by grade of variable General characteristics and differences by grade of variable, it was found that the pre-service teachers' playfulness was slightly higher than the average, and the grit was at the average level. Second, there were some significant correlations between play experience, playfulness, and grit. Third, for grit, it was found that play experience had an explanatory power of about 10% and playfulness about 30%. Based on the above research results, suggestions for grit enhancement programs for pre-service early childhood teachers and follow-up studies were presented.