• Journal of East-West Nursing Research
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• v.19 no.1
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• pp.55-61
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• 2013

Purpose: This study was performed to provide basic data for nursing intervention plan to improve health related to task by examining whether nurses' burnout is related with job stress, job satisfaction, social support, and self efficacy in hospitals. Methods: The participants were 320 nurses who work at 5 different university hospitals with individual agreement for this study. The questionnaire were provided to the subjects. Data analysis was done by Pearson correlation coefficient and multiple regression were used. Results: Estimated regression model of burnout of nurses was statistically significant (F=119.88, p<.001). Major factors which affect burnout of nurses were job stress (${\beta}=.54$), job satisfaction (${\beta}=-.31$), and social support (${\beta}=-.20$) which explained 53.4% of burnout of nurse. As a result of examining the assumption of the regression, all results were satisfactory with the assumption of the regression equation. Conclusion: Based on the results of the study, It is nacessary to reduce job stress and increse job satisfaction and social support in order to reduce burnout of nurse. Job stress management may be needed mostly because job stress was the highest level of prediction against burnout.

• Journal of Korean Academy of Nursing
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• v.46 no.2
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• pp.305-314
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• 2016

Purpose: The purpose of this study was to determine quality of life (QOL) related factors in Alcoholics Anonymous (AA) members based on PRECEDE Model. Methods: A cross sectional survey was conducted with participants (N=203) from AA meeting in 11 alcohol counsel centers all over South Korea. Data were collected using a specially designed questionnaire based on the PRECEDE model and including QOL, epidemiological factors (including depression and perceived health status), behavioral factors (continuous abstinence and physical health status and practice), predisposing factors (abstinence self-efficacy and self-esteem), reinforcing factors (social capital and family functioning), and enabling factors. Data were analyzed using t-test, one way ANOVA, Tukey HSD test and hierarchical multiple regression analysis with SPSS (ver. 21.0). Results: Of the educational diagnostic variables, self-esteem (${\beta}=.23$), family functioning (${\beta}=.12$), abstinence self-efficacy (${\beta}=.12$) and social capital (${\beta}=.11$) were strong influential factors in AA members' QOL. In addition, epidemiological diagnostic variables such as depression (${\beta}=-.44$) and perceived health status (${\beta}=.35$) were the main factors in QOL. Also, physical health status and practice (${\beta}=.106$), one of behavioral diagnostic variables was a beneficial factor in QOL. Hierarchical multiple regression analysis showed the determinant variables accounted for 44.0% of the variation in QOL (F=25.76, p<.001). Conclusion: The finding of the study can be used as a framework for planning interventions in order to promote the quality of life of AA members. It is necessary to develop nursing intervention strategies for strengthening educational and epidemiological diagnostic variables in order to improve AA members' QOL.

• Journal of the Korean Statistical Society
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• v.28 no.2
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• pp.225-234
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• 1999

We consider the following semi-parametric non-linear mixed effect regression model : y\ulcorner=f($\chi$\ulcorner;$\beta$)+$\sigma$$\mu$($\chi$\ulcorner)+$\sigma$$\varepsilon$\ulcorner,i=1,…,n,y*=f($\chi$;$\beta$)+$\sigma$$\mu$($\chi$) where y'=(y\ulcorner,…,y\ulcorner) is a vector of n observations, y* is an unobserved new random variable of interest, f($\chi$;$\beta$) represents fixed effect of known functional form containing unknown parameter vector $\beta$\ulcorner=($\beta$$_1$,…,$\beta$\ulcorner), $\mu$($\chi$) is a random function of mean zero and the known covariance function r(.,.), $\varepsilon$'=($\varepsilon$$_1$,…,$\varepsilon$\ulcorner) is the set of uncorrelated measurement errors with zero mean and unit variance and $\sigma$ is an unknown dispersion(scale) parameter. On the basis of finite-sample, small-dispersion asymptotic framework, we derive an absolute lower bound for the asymptotic mean squared errors of prediction(AMSEP) of the regular-consistent non-linear predictors of the new random variable of interest y*. Then we construct an optimal predictor of y* which attains the lower bound irrespective of types of distributions of random effect $\mu$(.) and measurement errors $\varepsilon$.

• Communications for Statistical Applications and Methods
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• v.24 no.4
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• pp.383-396
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• 2017

The model in our approach assumes that computer responses are a realization of a Gaussian processes superimposed on a regression model called a Gaussian process regression model (GPRM). Selecting a subset of variables or building a good reduced model in classical regression is an important process to identify variables influential to responses and for further analysis such as prediction or classification. One reason to select some variables in the prediction aspect is to prevent the over-fitting or under-fitting to data. The same reasoning and approach can be applicable to GPRM. However, only a few works on the variable selection in GPRM were done. In this paper, we propose a new algorithm to build a good prediction model among some GPRMs. It is a post-work of the algorithm that includes the Welch method suggested by previous researchers. The proposed algorithms select some non-zero regression coefficients (${\beta}^{\prime}s$) using forward and backward methods along with the Lasso guided approach. During this process, the fixed were covariance parameters (${\theta}^{\prime}s$) that were pre-selected by the Welch algorithm. We illustrated the superiority of our proposed models over the Welch method and non-selection models using four test functions and one real data example. Future extensions are also discussed.

• Journal of Korean society of Dental Hygiene
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• v.14 no.4
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• pp.463-470
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• 2014

Objectives : The purpose of this study was to investigate the association factors of infection control practice based on health belief model in the dental hygienists in dental clinics. Methods : A self-reported questionnaire was filled out by 278 dental hygienists in 160 dental clinics in Gwangju by a proportional stratified sampling method from September 13 to October 7, 2013. Data were analyzed by t-test, ANOVA, correlation analysis, and multiple regression analysis using SPSS version 12.0. Results : In multiple regression analysis, practice scores were significantly higher in aged dental hygienists and those who took infectious disease history from the patients before treatment. With regard to health belief model, perceived barrier was negatively associated with the practice(${\beta}$=-.16, p<.001), importance of infection control in hand hygiene(${\beta}$=.14, p=.026), and use of personal protective equipment(${\beta}$=.17, p=.043). The intention of action was positively associated with the practice(${\beta}$=.13, p=.002). Conclusions : This study will provide the basic evidence for the quality improvement of infection control and prevention. So the dental hygienists will be able to put into practice in infection control management.

• The Korean Journal of Health Service Management
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• v.13 no.3
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• pp.13-26
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• 2019

Objectives: To investigate whether medical institutions can prevent accidents by analyzing the root cause of a medical accident and identifying the tendencies. Methods: A total of 345 medical cases were used for the RCA(Root Cause Analysis). The root causes were classified using the SHELL model. The suitability of the model was confirmed by SPSS's MDPREF and Euclidean distance. An SPSS20.0 hierarchical regression analysis was used as an influencing factor on the degree of injury resulting from medical accidents. Results: The SHELL model was suitable for classification. The rates of accident causes were LS49%, L34%, LL10.2%, LE3.7%, LH2.3%. The order in which the degree of a patient's injury was affected were: Risk Threshold (${\beta}=.180$), Time (${\beta}=.175$), Surgical stage (${\beta}=-.166$), Do not use procedure (${\beta}=.147$). Conclusions: Health care institutions should remove priorities through system improvement and training. For patients' safety, the five factors of the SHELL model should be managed in harmony.

• Journal of Korean Public Health Nursing
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• v.27 no.1
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• pp.113-128
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• 2013

Purpose: The purpose of this study was to investigate the degree of suicidal risk, meaning in life, and life respect in various ages of patients and identify factors influencing their life respect. Method: The participants were 229 patients in a public hospital who completed questionnaires. Data were analyzed using descriptive statistics, t-test, Fisher's exact test, ANOVA with Duncan post hoc test, and multiple regression. Results: There was a negative correlation between the meaning of life and life respect in the old age group (r=-.23, p=.02) and all subjects (r=-.14, p=.01) after controlling for age. Factors significantly influencing life respect were gender (${\beta}$=0.11, p=.050) and educational status (${\beta}$=-0.17, p=.022), and the multiple regression model explained 16.7% of the variance in all subjects (p<.001). In the early adulthood group, factors significantly influencing the life respect were gender (${\beta}$=0.18, p<.001) and suicidal thoughts (${\beta}$=0.21, p=.028), and the multiple regression model explained 6.8% of variance in all subjects (p=.001). Conclusion: The results of this study suggest that suicidal prevention and educational programs for increasing an appreciation of life should consider subject's characteristics, such as gender and educational status.

• Culinary science and hospitality research
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• v.18 no.5
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• pp.113-128
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• 2012

This research was conducted targeting 269 employees working in the hotel and food service industry in the Busan area to provide human resources policy implications for food service companies by understanding the causal relationship between the empowerment of foodservice industry employees and job satisfaction and turnover intent. To achieve the research purpose, this research identified the demographic characteristics through a frequency analysis, obtained reliability and validity through a factor and reliability analysis, attaining a meaningful result in the significance level of p<.01 in all factors by conducting a correlation analysis to understand the overall relationship between the variables. As a result of the multiple regression analysis to verify a hypothesis, the explanatory adequacy of the regression model for the effect of self-determination and meaning, the sub-factors of empowerment, on job satisfaction was 34.6%, and the self-determination and meaning was respectively analyzed as (${\beta}$=.125, p<.05) and (${\beta}$=.511, p<.001), thus, the hypothesis that the empowerment of employees in the food service industry has a positive (+) effect was selected. In addition, the multiple regression analysis was conducted to examine the effect that empowerment (self-determination, meaning) has on job turnover intent, and as a result, the explanatory adequacy of the regression model was 11.2%, the self-determination was ${\beta}$=-.024, showing that it was not analyzed as a statistically meaningful result, and the meaning was analyzed as(${\beta}$=-320,p<.001). Thus, the hypothesis that the empowerment of employees in the food service industry has a negative (-) effect on job turnover intent was partially selected. In the regression analysis result of the effect of job satisfaction on turnover intent, the explanatory adequacy of the entire regression model appearing in the entire analysis was 25.3%, and the job satisfaction was analyzed as (${\beta}$=-.503,p<.001). Thus, the hypothesis that job satisfaction has a negative (-) effect on job turnover intent was selected.

• 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 the Korea Convergence Society
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• v.8 no.12
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• pp.199-208
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• 2017

This study investigated the effects of overtime work on the health-related quality of life (HRQoL) of Korean blue-collar workers. This cross-sectional study collected data on 229 Korean blue-collar workers in six small-sized companies from October to November 2015. The data were analyzed using hierarchical multiple regression analysis to estimate the effect of overtime work while considering convergence variables. In the hierarchical regression model, when overtime work variable was included in the model, $R^2$ change was statistically significant. The significant predictors for HRQoL were overtime work (${\beta}=.152$, p=.025), depression (${\beta}=-.192$, p=.003) and night shift work (${\beta}=-.201$, p=.032). The results of this study provide a basic data for establishing optimal working hours standards for improving the quality of life of Korean blue-collar workers.