• Health Policy and Management
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• v.13 no.3
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• pp.129-147
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• 2003

This study is to grasp a trend of profitability classified by characteristics of hospitals and to analyze related factors. Subjects are 145 hospitals which have gotten the standardization audit by Korean Hospital Association during 1998-200l. Profitability was measured in the aspect of operation profit rate with operating margin to gross revenue as proxy variables. Independent variables were classified by general factors (ownership, number of beds, period of establishment, competition), financial factors (liabilities to total assets, current ratio, fixed ratio, total asset turnover, inventories turnover), and factors related to patient treatment (average length of stay, bed occupancy rate, new outpatient ratio, admission ratio of outpatients, number of patients per specialist, personnel costs per adjusted inpatient, administrative costs per adjusted inpatient). Hierarchical multiple regression analysis model was used in this study. As a result of hierarchical multiple regression analyzation of operating margin to gross revenue, adjustive $R^2$ of general factors was relatively more powerful. The factors had significant effect on operating margin to gross revenue were ownership(+), number of beds(+), competition(+), current ratio(+), fixed ratio(+), total asset turnover(+), personnel costs per adjusted inpatient(-).

• Journal of the Korean Data and Information Science Society
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• v.26 no.3
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• pp.749-754
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• 2015

This article presents Bayesian approach to regression splines with knots on a grid of equally spaced sample quantiles of the independent variables under functional measurement error model.We consider small area model by using penalized splines of non-linear pattern. Specifically, in a basis functions of the regression spline, we use radial basis functions. To fit the model and estimate parameters we suggest a hierarchical Bayesian framework using Markov Chain Monte Carlo methodology. Furthermore, we illustrate the method in an application data. We check the convergence by a potential scale reduction factor and we use the posterior predictive p-value and the mean logarithmic conditional predictive ordinate to compar models.

• The Korean Journal of Community Living Science
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• v.23 no.3
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• pp.357-368
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• 2012

The purpose of this study was to investigate the influence of teachers' knowledge of infant development and efficacy of child care on perception of professionalism. The participants of this study were 264 child care teachers who were in charge of infants in child care centers in Gyunggi Province. Instruments to measure teachers' knowledge of infant development, efficacy of child care and perception of professionalism as teachers were used in this study and the data were analyzed by descriptive statistics, the hierarchical regression, and the structural equation model analysis by AMOS. Based on the hierarchical regression, efficacy of child care influenced on perception of professionalism rather than knowledge of infant development. The moderation effect of efficacy of child care existed in the relationship between teachers' knowledge of infant development and perception of professionalism.

• Journal of the Korea Safety Management & Science
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• v.16 no.3
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• pp.257-266
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• 2014

This study was planned to investigate the effect of the exposure to hazard factors on work environment satisfaction. Existing researches about job satisfaction have focused on the general working conditions, such as working hours, wage, human relationship, job task and so on. Korean Working Conditions Survey was used for this study because that relevant questions were included. The effect of the exposure to hazard factors on work environment satisfaction may be produced by hierarchical regression analysis because of comparison with existing model for work environment satisfaction. The exposure to hazards factors were statistically significant effect on work environment satisfaction after adjusting other confounding variables, such as gender, age, educational level, job security, work hour, work load, work autonomy, social support, etc. This study has some limitation because that KWCS was cross sectional survey. Some researches about the causal effect and its mechanism may be suggested as future study.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.11
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• pp.1377-1385
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• 2011

This study examines if the uniform-related perceptions influence the formation of professional identity. A self-administered survey was conducted on 346 female nursing officers at military hospitals. The independent variables were the basic characteristics, perception of clothing benefit, perception of nursing uniform, and perception of the officer uniform. For the data analysis, we used paired t-test and hierarchical regression analysis. Using a paired t-test, we found the difference in function and satisfaction between nursing uniforms and officer uniforms. The result of hierarchical regression analysis shows that uniform-related perceptions were statistically significant in predicting professional identity. The nursing uniform explained the major portion of variation of professional identity; subsequently, the improvement of uniforms can enhance professional identity.

• IE interfaces
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• v.23 no.1
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• pp.78-88
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• 2010

In this paper we develop a model for the performance evaluation of defense R&D test development projects based on analytic hierarchy process. First, evaluation indicators are collected through the related literature survey and a delphi inquiry method. Second, stepwise multiple linear regression is used for developing a hierarchical structure for analytic hierarchy process in the evaluation model, which can make the selected evaluation indicators of the hierarchical structure independent. Also we verify the effectiveness of proposed indicators of the performance evaluation by comparing with the existing evaluation indicators. The developed indicators for the performance evaluation is more reasonable and practical than the previous indicators on defense R&D test development projects.

• Communications for Statistical Applications and Methods
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• v.11 no.3
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• pp.583-595
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• 2004

For the Korean Economically Active Population Survey(EAPS), we consider the composite estimator based on logistic regression model to estimate the unemployment rate for small areas(Si/Gun). Also, small area estimation technique based on hierarchical generalized linear model is proposed to include the random effect which reflect the characteristic of the small areas. The proposed estimation techniques are applied to real domestic data which is from the Korean EAPS of Choongbuk. The MSE of these estimators are estimated by Jackknife method, and the efficiencies of small area estimators are evaluated by the RRMSE. As a result, the composite estimator based on logistic model is much more efficient than others and it turns out that the composite estimator can produce the reliable estimates under the current EAPS system.

• Educational Technology International
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• v.22 no.2
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• pp.255-283
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• 2021

In the early 2020, COVID-19 changed the traditional way of teaching and learning. This paper aimed to explore the impact of college students' perception of course quality on their online learning satisfaction. A total of 4,812 valid samples were extracted, and the difference analysis and hierarchical regression analysis were used to make an empirical analysis of college students' online learning satisfaction. The research results were as follows. Firstly, there was no difference in online learning satisfaction among students by gender and grade. Secondly, learning assessment, course materials, course activities and learner interaction, and course production had a significant positive impact on online learning satisfaction. Course overview and course objectives had an insignificant correlation with online learning satisfaction. Thirdly, the total effect of online learning satisfaction was as follows. Course production had the greatest effect, followed by course activities and student-student interactions, followed by course materials. It was the learning evaluation that showed the least effect. This study can provide empirical reference for college teachers on how to continuously improve online teaching and increase students' satisfaction with online learning.

• The Journal of Economics, Marketing and Management
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• v.10 no.2
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• pp.15-22
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• 2022

Purpose: This study explores the effect of employee's growth needs strength on counterproductive work behaviors. Perceived job insecurity was also examined as a moderating variable on the relationship between the two variables. Research Design, data and methodology: This study collected 108 data samples from working individuals from South Korea. The Exploratory Factor Analysis (EFA) and the hierarchical regression analysis were used to analyze the data. Hierarchical regression analysis was performed using SPSS 24.0. Results: Our research results indicated that employee's growth needs strength has a negative effect on counterproductive work behaviors. Perceived job insecurity moderates the relationship between the two variables. Conclusions: Organizations should focus on creating growth opportunities for employees, since facilitating employee's growth need strength will counteract the desire to engage in behaviors that can be detrimental to the organization. and its members.

• Journal of Agricultural Extension & Community Development
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• v.30 no.4
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• pp.187-197
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• 2023

The study aims to identify factors related to landscape structure and socioeconomic characteristics that influence adults' physical activity and health. The study analyzes data from 148,643 respondents from the Korea Community Health Survey conducted in 2021. The study measures various factors, including the frequency of physical activity, stress, depression, and landscape metrics of forest patches. Hierarchical multiple regression analysis was used, controlling for socio-demographic characteristics. Larger forest patches and more irregular shapes are associated with higher levels of physical activity among adults. The percentage and area of the forest patch are associated with fewer mental health complaints. Configuration-related landscape metrics such as shape or arrangement of the forest patch did not show a significant association with physical activity. Overall, the study provides insights into how specific characteristics of forest patches in urban areas may influence physical activity and mental health among adults. It emphasizes the importance of green spaces and their potential positive effects on both physical and mental well-being.