• Proceedings of the Safety Management and Science Conference
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• 2011.11a
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• pp.683-694
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• 2011

This study analysed impact of service quality on customer satisfaction and loyalty in the take-out coffee shop. The switching barrier was also studied as a moderating effect. Particularly, this study focused on relationships between customer loyalty and switching barriers. A lot of previous studies interest only in customers satisfaction. This study also analysed relationships among service quality, customer satisfaction, switching barriers and brand loyalty. Eventually, service quality significantly affects customer satisfaction, moderating effects, brand loyalty and marketing performance. SERVQUAL model which was established by PZB (1988) was used as a service quality factors. The impact on customer satisfaction was analysed using multiple regression analysis. Simple regression analysis was used to find effects of customer satisfaction and customer loyalty. Additional factors of switching barriers was classified based on previous studies. Hierarchical multiple regression analysis was used to find factors of customer loyalty among switching barriers. In the result, we can find that the importance of tangibles, responsiveness in service quality factors and contract cost, search cost and continuous cost in moderating effects.

• Korean Journal of Occupational Health Nursing
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• v.29 no.3
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• pp.173-183
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• 2020

Purpose: The purpose of this study was to identify factors associated with the mental health-related quality of life (MHQoL) of Korean workers. Methods: This was a cross-sectional study of 192 Korean pay workers who worked in the Daegu and Gyeongbuk Province, Korea. Data were collected from May 15 to July 2, 2019, through selfreported questionnaires. The survey had a total of 87 questions including individual, organizational, and psychosocial factors. MHQoL was measured using short form-36 version 1. Data were divided into four domains of MHQoL and analyzed using a hierarchical linear regression model. Results: From the hierarchical linear regression analysis, when the psychosocial factors were included in the regression model, the R² change in the four domains of MHQoL increased significantly by 19~47%. A common predicting factor associated with the four domains of MHQoL was identified as perceived stress symptoms. Other factors affecting MHQoL showed slight differences in each domain. Conclusion: Based on the study results, it is necessary to monitor the psychosocial symptoms to improve MHQoL of Korean workers. Considering each factor affecting the four areas of MHQoL, workplace-based interventions to improve MHQoL should be provided to workers.

• Korean Journal of Occupational Health Nursing
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• v.24 no.2
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• pp.94-102
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• 2015

Purpose: The purpose of this study was to investigate Korean blue-collar workers' Health-related Quality of Life (HRQoL) and influencing factors in Korean blue-collar workers. Methods: Participants in this study were 109 Korean blue-collar workers. The survey included health-related, work-related, and psycho-social factors. SF-36 was used to measure HRQoL. The data were analyzed using Pearson's correlation, and hierarchical multiple regression analysis. Results: In the hierarchical linear regression model, when subjects' psycho-social variables were included in the regression model, $R^2$ change was statistically significant. The significant predictors for HRQoL were education level (${\beta}=.26$, p=.023), depression (${\beta}=-.38$, p<.001), and self-efficacy (${\beta}=.23$, p<.001). Conclusion: The results of this study indicate that health care providers must have priority to consider psycho-social variables, especially depression and self-efficacy to improve HRQoL in Korean blue-collar workers.

• International Area Studies Review
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• v.21 no.4
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• pp.173-194
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• 2017

The research study conducted logistics regression analysis through HLM (Hierarchical Linear Modeling) and presented the value of the outcome in order to investigate characteristic factors of demanders which influence the intention to move into public rental housing. (1) The results of the regression analysis of characteristic factors of household and housing were analyzed as having the significant effect on the intention to move in public rental housing, according to residents moving in monthly rent housing, residents' occupations, rental housing, the number of household, the location of surrounding public rental housing, monthly average income, children's educational level, the number of children, the types of housing and one's own house, in order, out of the types of housing tenure. (2) The results of the regression analysis of characteristic factors of the conditions of location were analyzed that out of the conditions of location of the top five areas in public rental rates, what influences significant effects on the intention to move in public rental housing is the location of surrounding rental housing, income, the number of household and children, children's educational level, job state, housing types, ones' own house, rent housing, monthly rent housing, in order. (3) In case of Seoul, Expanding public rental housing is inevitable in order to stabilize ordinary people's housing stability, owing to the high and rental prices of private housing. Nevertheless, an accurate analysis of the intention to move in public rental housing has not been conducted. Eventually, the research was, thus, conducted, based on the fact that the preference on public housing is low. According to the analytic results of the study, it is required for the government institutions and agencies should consider individual and local characteristics and provide an alternative that meets the real situation, in order to help ordinary citizens with low incomes stabilize housing.

• Korean Journal of Child Studies
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• v.27 no.3
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• pp.169-187
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• 2006

A hierarchical linear model(HLM) provides advantages over existing traditional statistical methods (e.g., ordinary least squares regression, repeated measures analysis of variance, etc.) for analyzing multilevel/longitudinal data or diary methods. HLM can gauge a more precise estimation of lower-level effects within higher-level units, as well as describe each individual's growth trajectory across time with improved estimation. This article 1) provides scholars who study children and families with an overview of HLM (i.e., statistical assumptions, advantages/disadvantages, etc.), 2) provides an empirical study to illustrate the application of HLM, and 3) discusses the application of HLM to the study of children and families. In addition, this article provided useful information on available articles and websites to enhance the reader's understanding of HLM.

• Journal of Korean Clinical Nursing Research
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• v.23 no.3
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• pp.332-340
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• 2017

Purpose: This study was to identify the quality of life and its related factors in patients with benign prostatic hyperplasia. Methods: A cross-sectional survey design was utilized. Data were collected using questionnaires from 128 patients with benign prostatic hyperplasia who visited an outpatient department at one general hospital in 2016. Data were analyzed using Mann-Whitney U test, Kruskal Wallis test, Pearson's correlation coefficient and hierarchical multiple regression analysis. Results: Mean age of the participant was $67.81{\pm}6.94$. Mean years since diagnosis was $6.41{\pm}5.20$. The mean score of quality of life was $0.82{\pm}0.09$, indicating that QOL was relatively low. Lower urinary tract symptoms (p=.029), anxiety, depression, Activities of daily living were significantly correlated to with quality of life (p<.001). Activities of daily living accounted for 54% (p<.001) of the variance in quality of life as a result of hierarchical multiple regression analysis. Conclusion: The results of the study showed that nursing intervention may improve the quality of life of patients with benign prostatic hyperplasia by increasing their Activities of daily living.

• Korean Journal of Child Studies
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• v.33 no.5
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• pp.37-52
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• 2012

The purpose of this study was to investigate the moderating effect of parent's neglectful behavior on children's irrational beliefs and their style of expressing anger. The subjects consisted of 354 5th and 6th grade elementary school children. The instruments used were the Multidimensional Neglectful Behavior Scale (Straus et al., 1995), the Irrational Belief Scales (Lee, 2004), and the Anger Expression Scale (Spielberger, Krasner, & Solomon, 1988). Data were analyzed by means of both descriptive statistics and hierarchical regression analysis using the SPSS 18.0. The result of this study indicated that there were significant correlations between parent's neglectful behavior and the irrational beliefs and style of anger expression exhibited by the children concerned. Hierarchical regression analysis indicated that, the effects of children's irrational beliefs on their anger was moderated by parent's neglectful behavior. The effects of children's irrational beliefs on their anger control was also moderated by parent's neglectful behavior. In conclusion, parent's neglectful behavior has a moderating effect upon a child's irrational beliefs as it relates to the style of anger expression as exhibited by their children.

• Journal of Korean Public Health Nursing
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• v.34 no.2
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• pp.238-250
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• 2020

Purpose: The purpose of this study was to investigate the effect of health literacy and unmet health care needs on health promotion behaviors among elderly people receiving visiting health care services at community health centers. Methods: The subjects of this study were 180 elderly people over 65 years old who were receiving health care services at public health center The subjects fully understood the purpose of this study and voluntarily agreed to participate. The collected data were analyzed by frequency, percentage, mean, standard deviation, independent t-test, one-way ANOVA, Scheffé test and Hierarchical Regression Analysis using the SPSS 23.0 program. Results: Hierarchical regression analysis was used to identify factors influencing health promotion behaviors of the subjects. The results were as follows: presence of occupation (β=.26, p<.001), social activity status (β=.26, p=.001), and health literacy (β=.16, p=.023). Conclusion: Therefore, in order to improve health promotion behaviors, it is necessary for visiting nurses to administer health education and programs by considering the level of health care understanding.

• Journal of Families and Better Life
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• v.24 no.4 s.82
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• pp.93-101
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• 2006

This study explored the differences in fathers' involvement in child-rearing according to various family socio-demographic variables (fathers education level, income, mothers employment, preschooler's sex and age) and preschoolers' temperaments and examined the relationship between fathers' involvement in child-rearing and these independent variables (as well as preschooler's temperament). The subjects of the study were 227 fathers whose children were preschoolers between the ages of 3 and 5 attending daycare centers in Keoungbok province, South Korea. Statistical analysis was conducted with the following techniques: two-way ANOVA, interaction effect, Scheffe' test, Pearson's correlation partial correlation, and hierarchical multiple regression (using SPSS 12.0). Results of the study may be summarized as follows. (1) There was a significant difference in fathers' child-rearing involvement according to the fathers' education level, income, and preschoolers' temperaments. (2) There was a significant interaction effect of mothers' employment and preschoolers' temperaments on fathers' child-rearing involvement. (3) Hierarchical multiple regression analysis showed that fathers' education mediated the relationship between income and fathers' involvement in child-rearing, and fathers' education and preschoolers' temperaments was also found to have predictive power over fathers' child-rearing involvement.

• Journal of Agricultural Extension & Community Development
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• v.22 no.1
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• pp.55-67
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• 2015

This study aimed at identifying theirs relative importance and the factors affecting self-sufficiency in rural multicultural families. The major findings that were drawn from this study were as follows : Frist, the difference in the self-sufficiency level of their family perceived between husband and married immigrant women was not significant. But, in the level of self-sufficiency will, the level perceived by the husband was higher than it of the women significantly. Second, the hierarchical regression analysis showed that the age of the women(${\ss}=.31$) affected most significantly the self-sufficiency in rural multicultural families, followed by the labour morale of the women(${\ss}=.25$), labour morale of the husband(${\ss}=.20$), academic background of the husband(${\ss}=.19$), academic background of the women(${\ss}=.12$), spouse support level of the women toward the husband(${\ss}=.12$). Third, as a result of a hierarchical regression analysis, the self-sufficiency will variables had more explanatory power on it than social-demographic and/or social support variables. In conclusion, based on results of this study, several plans improving self-sufficiency of the rural multicultural family were suggested. Findings of this study may be used as a basic material to establish the policy supporting self-sufficiency in rural multicultural families.