• Journal of the Korean Society of Child Welfare
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• no.26
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• pp.87-111
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• 2008

The purpose of this study is to evaluate the actual conditions of peer victimization and to examine how the various factors of school climate influence peer victimization. Analysis on the relationship between various school climate and peer victimization has not been yet dealt with in Korea. Participants in this study were middle school students chosen from 11 middle schools in Seoul, by convenience sampling. A total of 1,204 surveys were then analyzed. Methods for analysis included Frequencies, Descriptives, Pearson's Correlation, Hierarchical Regression. From the result of the analysis, the level of verbal violence came out to be a relatively high form of peer victimization. The hierarchical regression were conducted in two steps. The second model's descriptive variable was higher by 19.6% than the first model. The variables of interaction between teacher and student in peer violence(${\beta}=.130$), of school facility maintenance(${\beta}=.067$), of safety of school environment(${\beta}=.331$), and economic status and sex out of controlled variables were proved to be of significance, and those variables explained 23.0% of the entire model. Based on the results of this study, practical and effective policy solutions to improve the school climate better have been suggested.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.560-569
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• 2019

This study examined the factors influencing the burnout of correctional workers via a survey conducted in February 2018 for the employees working at the Korea Rehabilitation Agency. The final analysis used data from 290 survey responses. In order to investigate the factors affecting burnout, personal and job-related characteristics, job stress, and interpersonal stress factors were analysed. For the analysis, Baslach burnout scale, Korean occupational stress scale (KOSS), Korean interpersonal relationship stress (KIRS), descriptive analysis, correlation analysis, and hierarchical regression analysis were all used. The correlation analysis showed statistically significant relationships between the factors(p<.01). From the regression analysis results, the influences of job stress (job demand ${\beta}=.308$, p<.001, degree of autonomy ${\beta}=.124$, p<.001, relationship conflict ${\beta}=.169$, p<.001) and interpersonal stress (relationships with supervisors ${\beta}=.402$, p<.001, relationships with clients ${\beta}=.155$, p<.01) were stronger than job-related characteristics (employment type, working hours, working years) and personal characteristics (gender ${\beta}=.173$, p<.01). Although personal and job-related characteristics influence the workers' burnout, levels of job stress and interpersonal stress affect burnout levels more strongly. Based on the study results, further study and suggestions for reducing the burnout of the correctional workers were discussed.

• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.89-97
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• 2016

The purposes of this study was to identify the significant predictors of depression. The data were collected using questionnaire from the sample of 114 middle-aged women and 125 middle-aged men. The data were collected through self-report questionnaires, which were constructed to include stress, self-esteem, and depression. Data were analyzed using frequencies, means, $X^2$-test, Analysis of Covariance, Pearson's correlation coefficients, and multiple regression analysis with SPSS 18.0. The significant predictors of depression for middle-aged women were stress(${\beta}=.387$, p<.001), self-esteem(${\beta}=-.249$, p<.05), health perception(${\beta}=-.191$, p<.05), explaining 43.1% of the variance in depression. The significant predictors of depression for middle-aged men were self-esteem(${\beta}=-.429$, p<.001), stress(${\beta}=.322$, p<.001), explaining 56.0% of the variance in depression.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.179-187
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• 2016

This study was conducted to identify the factors that affect the nursing performance. These factors are general characteristics, mentoring function and organizational citizenship behavior. A survey was conducted on 163 nurses working for general hospitals in South Korea from December 2 - 30, 2015. The data was analyzed using the SPSS WIN 21.0 program to analyze the descriptive statistics, independent T-test, ANOVA, Scheffe test, Pearson's correlation, and multiple regression. The factors affecting the subject's nursing performance were altruism (${\beta}=.46$, p<.001), courtesy (${\beta}=.12$, p=.047), belonging to the sub areas of the organizational citizenship behaviors, role modeling function (${\beta}=.31$, p=.001), career develop functions (${\beta}=-.22$, p=.018), belonging to the sub areas of the mentoring function, and position (${\beta}=.24$, p<.001). The results of this study are expected to provide basic data to improve the nursing performance.

• Journal of Korean Society for Atmospheric Environment
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• v.26 no.5
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• pp.533-542
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• 2010

The $PM_{10}$ concentrations in the underground should be monitored for the health of commuters on the underground subway system. Seoul Metro and Seoul Metropolitan Rapid Transit Corporation are measuring several air pollutants regularly. As for the measurement of $PM_{10}$ concentrations, instruments based on $\beta$-ray absorption method and gravimetric methods are being used. But the instruments using gravimetric method give us 20-hour-average data and the $\beta$-ray instruments can measure the $PM_{10}$ concentration every one hour. In order to keep the $PM_{10}$ concentrations under a healthy condition, the air quality of the underground platform and tunnels should be monitored and controlled continuously. The $PM_{10}$ instruments using light scattering method can measure the $PM_{10}$ concentrations every less than one minute. However, the reliability of the instruments using light scattering method is still not proved. The purpose of this work is to study the reliability of the instruments using light scattering method to measure the $PM_{10}$ concentrations continuously in the underground platforms. One instrument using $\beta$-ray absorption method and two different instruments using light scattering method (LSM1, LSM2) were placed at the platform of the Jegi station of Seoul metro line Number 1 for 10 days. The correlation between the $\beta$-ray instrument and the LSM2 ($r^2$=0.732) was higher than that between the $\beta$-ray instrument and the LSM1 ($r^2$=0.393). Thus the LSM2 was chosen for further analysis. Three different regression analysis methods were tested: Linear regression analysis, Nonlinear regression analysis and Orthogonal regression analysis. When the instruments using light scattering method were used, the data measured these instruments have to be converted to actual $PM_{10}$ concentrations using some factors. With these analyses, the factors could be calculated successfully as linear and nonlinear forms with respect to the data. And the orthogonal regression analysis was performed better than the ordinary least squares method by 28.45% reduction of RMSE. These findings propose that the instruments using light scattering method light scattering method can be used to measure and control the $PM_{10}$ concentrations of the underground subway stations.

• Journal of Technologic Dentistry
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• v.34 no.4
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• pp.433-445
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• 2012

Purpose: In order to validate empirically the theoretical model of this study subjects, who were limited in Andong gun, Youngyang gun, Uiseong gun, Bonghwa gun, Chilgok gun, Cheongsong gun according to residence-specified distribution and over aged 65, were focused to the elderly in rural areas with geographical characteristics where they have difficulties in accessibility of dental facilities and dental care. Methods: The collected data were analyzed by the SPSS 19.0 program. First, the frequency analysis was performed for each independent variable and the dependent variable. Second, reliability analysis and correlation analysis were conducted for daily living skills and Biomedical Vigilance. Third, multivariate analysis was performed in terms of and the post-administration management. Fourth, multiple regression analysis was performed to identify the factors affecting the post-management of dentures and the period of using dentures. Results: By results of the multiple regression analysis, the elder the subjects are(${\beta}$ = 0.03), the lower their income activities are(${\beta}$ = -0.18), the smaller their monthly allowances are(${\beta}$ = -0.16), the worse their daily activity skills are(${\beta}$ = -0.12), the more they were mounted their dentures by an unlicensed contractor(${\beta}$ = 0.07), and the more they cost to their dentures(${\beta}$ = 0.14), the longer the period of use dentures are. And the beneficiaries of Basic Livelihood Security(${\beta}$ = -0.14) who got free denture business are shorten the period of using dentures. According to multiple regression analysis for post management of dentures, the independent variables like the health education(${\beta}$ = 0.24), smoking(${\beta}$ = -0.18), periodic oral examination(${\beta}$ = 0.13), dentures mounted by an unlicensed contractor(${\beta}$ = -0.13) are shown statistically significant results. In that study subjects are taking part in health education and non-smokers, they are likely to have more chances to post management for their dentures like periodic oral examination. However the subjects who were weared their denture by an unlicensed contractor get less chance to post management for their dentures. Conclusion: As the elderly who want to wear denture are increasing due to the denture insurance for the elderly, the need for oral health education for the elderly is an urgent request, especially continuos education for the way of use their dentures and follow-up management for the elderly who were already mounted their dentures. And also, the need for more systematic researches is requested for securing objective data.

• Culinary science and hospitality research
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• v.19 no.3
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• pp.218-233
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• 2013

This study used SPSSS 18.0 on 237 university students in Busan for frequency, factorial and reliability, correlation, and regression analyses to determine the effect relationship of coffee shop service quality on perceived value and behavioral intention. Multiple regression analysis for hypothesis testing showed that among the four service quality factors, confidence in employees and primary coffee quality had a non-significant effect on esthetic value, while menu characteristics besides coffee (${\beta}$=.293, p<.001) and physical environment (${\beta}$=.293, p<.001) were analyzed to be significant, partially supporting the study hypothesis. Regarding the effect of service quality on practical value, confidence in employees (${\beta}$=.264 p<.001), primary coffee quality (${\beta}$=.463, p<.001), menu characteristics besides coffee (${\beta}$=.139, p<.05) and physical environment (${\beta}$=.110, p<.05) were all significantly analyzed, supporting the study hypothesis. Regarding the effect of service quality on behavioral intention, confidence in employees (${\beta}$=.262 p<.001), primary coffee quality (${\beta}$=.411, p<.001), menu characteristics besides coffee (${\beta}$=.157, p<.01) and physical environment (${\beta}$=.137, p<.05) were all significantly analyzed, supporting the study hypothesis. In addition, regarding the effect of perceived value on behavioral intention, esthetic value (${\beta}$=.265, p<.001) and practical value (${\beta}$=.536, p<.001) were both significantly analyzed, showing a causal relationship with behavioral intention.

• The Korean Journal of Emergency Medical Services
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• v.20 no.1
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• pp.17-30
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• 2016

Purpose: This study investigated factors related to empowerment of paramedic students. Methods: A total of 208 students in the department of emergency medical services who experienced clinical practice at 5 universities were selected by convenience sampling methods. Differences in empowerment by general and major-related characteristics were evaluated using a t-test and analysis of variance. The association between satisfaction with clinical practice and empowerment was tested using correlation coefficients. Multiple linear regression analysis was performed to investigate the factors associated with empowerment. Results: The levels of overall satisfaction with clinical practice and empowerment were 107.48 and 99.46, respectively. In simple analysis, empowerment level was associated with general characteristics, major-related characteristics, characteristics of clinical practice, and satisfaction with clinical practice. Empowerment level was significantly higher in older subjects (${\beta}=5.282$, p = .023), subjects with very good (${\beta}=8.487$, p = .002) or fair (${\beta}=4.879$, p = .010) subjective health status, and high subjective school record (${\beta}=5.837$, p = .008) in multiple linear regression analysis. Satisfaction with clinical practice was positively associated with empowerment (${\beta}=0.250$, p < .001). Conclusion: Empowerment was associated with major-related factors and satisfaction with clinical practice. Increased satisfaction with clinical practice could positively influence empowerment for paramedic students.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.4
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• pp.441-451
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• 2016

Purpose: This study aimed to examine the effects of personality characteristics and decision making type on the self-leadership of nursing students. Methods: The participants were 336 nursing students using a self-report questionnaire. Data were analyzed using a t-test, ANOVA, $Scheff{\acute{e}}$ test, Pearson correlation coefficients, and stepwise multiple regression. Results: There were significant positive correlations between self-leadership and extraversion (r=.50, p<.001), agreeableness (r=.22, p<.001), conscientiousness (r=.60, p<.001), openness to experience (r=.36, p<.001), and rational style (r=.47, p<.001). However the correlation between self-leadership and dependent style was significantly negative (r=-.11, p=.044). Conscientiousness (${\beta}$=.60, p<.001), extraversion (${\beta}$=.28, p<.001), and rational style (${\beta}$=.21, p<.001), openness to experience (${\beta}$=.18, p<.001), and degree of leadership level (${\beta}$=.10, p=.020) were identified as factors affecting self-leadership. The explanation power of this regression model was 50.0% and it was statistically significant (F=67.52, p<.001). Conclusion: The results of this study indicated that effective self-leadership programs should be developed by including conscientiousness, extraversion, openness to experience, and rational decision making.

• Journal of Korean Academy of Rural Health Nursing
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• v.10 no.1
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• pp.17-29
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• 2015

Purpose: This study was done to examine factors affecting quality of life among community-dwelling elderly women who live in rural areas. Methods: The design of this research was cross-sectional descriptive study. The participants were 92 community-dwelling women aged 65 or older. Data were collected from November 1 to 15, 2013. ADL (Kart's Index), GDS-SF (Geriatric Depression Scale Short Form) and GQOL (Geriatric Quality of Life Scale) were used to measure variables. Data were collected using self-administered questionnaires and analyzed using descriptive statistics, Spearman's coefficient and stepwise multiple regression. Results: The participants' mean age was 77.5, and 85.9% had elementary school graduation or less education, and for 64.1%, their economic status was low. Spearman's rho coefficient analysis found that QOL was significantly associated with depression (r=-.72, p<.001), perceived health (r=.58, p<.001), regular exercise (r=.47, p<.001), education level (r=.29, p=.005), and ADL (r=-.21, p=.043). Multiple regression analysis showed that 65.9% of their QOL was explained by depression (${\beta}=-.72$), perceived health (${\beta}=.24$), ADL (${\beta}=-.16$), exercise (${\beta}=.22$) and number of diseases (${\beta}=.19$). Conclusion: These results indicate that older women who live rural areas need support for ADL, and prevention of depression to improve their quality of life.