• Journal of Korean Society for Atmospheric Environment
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• v.9 no.3
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• pp.207-215
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• 1993

In order to statistically predict $O_3$ levels in Seoul, the study used the TMS (telemeted air monitoring system) data from the Department of Environment, which have monitored at 20 sites in 1989 and 1990. Each data in each site was characterized by 6 major criteria pollutants ($SO_2, TSP, CO, NO_2, THC, and O_3$) and 2 meteorological parameters, such as wind speed and wind direction. To select proper variables and to determine each pollutant's behavior, univariate statistical analyses were extensively studied in the beginning, and then various applied statistical techniques like cluster analysis, regression analysis, and expert system have been intensively examined. For the initial study of high level $O_3$ prediction, the raw data set in each site was separated into 2 group based on 60 ppb $O_3$ level. A hierarchical cluster analysis was applied to classify the group based on 60 ppb $O_3$ into small calsses. Each class in each site has its own pattern. Next, multiple regression for each class was repeatedly applied to determine an $O_3$ prediction submodel and to determine outliers in each class based on a certain level of standardized redisual. Thus, a prediction submodel for each homogeneous class could be obtained. The study was extended to model $O_3$ prediction for both on-time basis and 1-hr after basis. Finally, an expect system was used to build a unified classification rule based on examples of the homogenous classes for all of sites. Thus, a concept of high level $O_3$ prediction model was developed for one of $O_3$ alert systems.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.2
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• pp.85-96
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• 2015

Despite the growth of body-related industry has generated considerable interest in this topic among both academics and practitioners, there has been lack of studies that explore body esteem toward online fashion products leads to purchase intentions, which self-monitoring moderates the relationship between body esteem toward online fashion products and purchase intentions. To fill this gap, this study aim to propose a research model where body esteem influences on the purchase intentions, with self-monitoring as a moderator. In order to test hypotheses, response from 172 consumers were achieved, and the proposed model was estimated by using hierarchical moderated regression analysis. The empirical results showed that body esteem negatively related to purchase intentions toward online fashion products. Additionally, this study indicated that the moderating effects of self-monitoring exist between body esteem and purchase intentions toward online fashion products, thereby implying the importance of contingent role of self-monitoring in managing online channels.

• 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 Environmental Health Sciences
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• v.43 no.5
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• pp.360-369
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• 2017

Objectives: The organizational culture of small-scale enterprises is influenced by a lack of awareness of industrial accidents and a business-oriented culture. Therefore, the purpose of this study is to establish a correlation between chemical awareness and worker safety, which is the reason why a company's safety environment is responsible for human factor accidents. Methods: The research model established the organizational culture, human relationships, organizational relationships, workplace culture, safety climate, and safety parameters, all of which affect the perception of chemical substances, then established safety rankings, communication, safety regulations, and safety support. Results: In order to derive the results of this study, the satisfaction level was mostly derived from the degree of engagement (+) depending on the number of years worked, in the hierarchical regression analysis. During work with chemicals, the number of years spent on the level of the service was determined by the influence of the chemical (-). Based on this company, the occurrence of chemical accidents caused by chemical materials was felt to be felt at the risk of causing the hazard to be felt, the absence of physical damage was excluded from the variables. The other variables detected in the variables were $62.8{\pm}24.4$. Conclusion: As a result, it is necessary to develop a statistical model for the verification of the hierarchical regression analysis, and the relationship between safety and awareness of the dangers of chemicals and biological agents requires periodic safety training. Job satisfaction was found to be higher if the level of awareness was sufficient.

• Journal of Family Relations
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• v.23 no.2
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• pp.89-109
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• 2018

Objectives: The study aims to examine the influence of university students' sociodemographic variables, parents' variables, and personal variables on their level of depression. Method: The study included a total of 334 university students enrolled in Busan. The data were used to perform correlational analysis and hierarchical regression analysis and were processed using the SPSS 23.0 program. Results: The main results of this study were as follows: First, the hierarchical regression analyses revealed that the most influential model was the model of personal variables. Among the personal variables, self-esteem was the most influential factor responsible for university students developing depression - the higher their level of self-esteem, the lower their level of depression. Among the parent variables, attachment to their father was the second most significant influence on the depression level of university students. Conclusions: This study showed that, in addition to attachment to their father, their self-esteem was highly significant in predicting university students' depression. The results of these findings have implications for future research in the form of programs and education to improve the relationship with fathers. Furthermore, the results of this study could be used to help and provide basic resources to alleviate and prevent university students' depression by strengthening their self-esteem.

• Journal of Korean Public Health Nursing
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• v.31 no.3
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• pp.505-517
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• 2017

Purpose: This study was conducted to investigate factors affecting the somatizationof 4th grade elementary school students in South Korea. Methods: The research used cross-sectional data of 2,031 first grade elementary school students that participated in 4th-year Korean Children and Youth Panel Survey (KCYPS). Data analysis, which included descriptive statistics, t-tests, one-way ANOVA, Pearson's correlation, and hierarchical regression,was performed using SPSS/WIN 23.0. Results: Aggression (r=0.60, p<.001) and depression (r=0.69, p<.001) showed significant positive correlation, while affection (r=-0.22, p<.001), reasonable explanation (r=-0.28, p<.001), peer relationship (r=-0.06, p=.001), and teacher relationship (r=-0.20, p<.001) were negatively correlated with somatization of elementary school students. Hierarchical regression analysis revealed that depression (${\beta}=0.52$, t=25.52, p<.001), aggression (${\beta}=0.27$, t=13.30, p<.001), reasonable explanation (${\beta}=0.05$, t=2.99, p=.002), and affection (${\beta}=0.04$, t=2.13, p=.031) were significant predictors of somatization. This regression model has an explanatory power of 52.8%. Conclusion: To reduce somatization, it is necessary to develop a therapeutic intervention to change student emotions into a positive coping mechanism and strategy. The results of this study will contribute to the development of programs and practices for healthy school life.

• Journal of Korean Clinical Nursing Research
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• v.29 no.3
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• pp.238-248
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• 2023

Purpose: This study aimed to examine the relationships between positive nursing organizational culture, organizational communication satisfaction, and the level of work engagement among nurses working in tertiary hospitals, as well as to identify influencing factors on work engagement. Methods: This study used a descriptive research design. Data were collected from 184 general nurses working in four tertiary hospitals in Seoul using self-report questionnaires from March 13 to 30, 2023. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Scheffé test, Pearson correlation, and hierarchical regression. Results: In the hierarchical regression analysis, the variables that significantly influenced work engagement in Model 1 were marital status (β=.26, p=.002), graduate or higher degree (β=.41, p<.001), more than 1 year and less than 3 years (β=.18, p=.030) and 3 years or more but less than 5 years of clinical experience in present hospital (β=.17, p=.023), and satisfaction (β=.27, p=.002) and moderate satisfaction with pay (β=.18, p=.033). In model 2, adding the subdomains of positive nursing organizational culture and organizational communication satisfaction to the Model 1, the variables that had a significant effect on work engagement were trust-based organizational relationships (β=.50, p<.001) and organizational communication satisfaction (β=.25, p=.005). Conclusion: The results suggest that education level, clinical experience, and satisfaction with pay should be considered to improve nurses' work engagement. In addition, it was identified that organizational relationship based on trust and organizational communication satisfaction are the main influencing factors for improving work engagement.

• Journal of The Korean Digital Architecture Interior Association
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• v.12 no.4
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• pp.49-57
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• 2012

With regard to the culture in cities this study aims to essential understanding and systematic approach to the culture. The "2011 Seoul Survey"report has been used to find out causality among the related variables. In the first place 'satisfaction of cultural condition' was operationally selected as a dependent variable for regression. For the purpose of controlling confounding factors for ceteris paribus effect correlation analysis was done between the dependent variable and all other variables respectively, which resulted in two groups of variables: group (1) - 6 variables of very significant correlations(p-value<0.01) and (2) - the other 6 variables of significant correlations(p-value<0.05). Then hierarchical regression was adopted to these 2 groups to analyse $R^2$ increment, statistical significance of independent variables, and multicollinearity(VIF; variance inflation factor). At last a regression model specified by group (1) as independent variables(they are 'social trust', 'satisfaction of walking condition', 'happiness index', 'preparation against old age', 'satisfaction of traffic condition' and 'hours for internet') shows that only 'social trust' variable has statistically significant and substantially strong effect on 'satisfaction of cultural condition.' This finding should be accepted on the following understanding; (1) urban culture has a collective attribute formed between people and society, (2) culture is somewhat telling and hearing stories and the confidence between tellers and hearers is essential in the mutual response and (3) stimulus is received by relationship in company with sense, emotion, thinking and action. In spite of restrictive external validity this finding can be used as a direction for promoting culture and a basis for related policy choice in cities.

• 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 Home Health Care Nursing
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• v.30 no.2
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• pp.202-215
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• 2023

Purpose: This study attempted to determine the factors related to behaviors of reducing exposure to endocrine disrupting chemicals (BRE to EDCs) in pregnancy, based on the PRECEDE model. Methods: A cross-sectional survey was conducted with participants (N=239) who met the medical records and eligibility criteria from the Women's Hospital and Public Health Center. Data were collected using a specially-designed questionnaire based on the PRECEDE model and included BRE to EDCs predisposing factors, reinforcing factors, and enabling factors. The data were analyzed using the chi-square test, independent t-test, one way ANOVA, Pearson's correlation coefficients and a hierarchical multiple regression analysis. Results: In Model I it was found that participation in prenatal education influenced the BRE to EDCs significantly; and a regression showed that the determinant variables accounted for 3.4%. In Model II, the predisposing factors of perceived barriers of BRE to EDCs and environmental self-efficacy were added. It was shown that they significantly influenced BRE to EDCs in the order named, and a regression revealed that increases in the determinant variables accounted for 22.5%. In Model III, to which enabling factors were added, the information acquisition experience of BRE to EDCs interacted significantly with BRE to EDCs and a regression showed an increase in the determinant variables accounting for 25.3%. Conclusion: The results of this study, the content of endocrine disruptors must be included in the prenatal care education program for pregnant women, and it should be composed of contents that can reduce the perceived obstacle to BRE to EDCs, enhance the environmental self-efficacy, and provide the information in regard to reducing exposure to EDCs.