• The Journal of Korean Society for School & Community Health Education
• /
• v.16 no.3
• /
• pp.51-63
• /
• 2015

Objectives: This study addressed the relationship among communication skill, job satisfaction, and mental health level. Methods: The participants in this study were 222 public health center staff members at 9 community public health centers located in Seoul city and Gyeonggi province. Descriptive analysis, Pearson's correlation, and multiple regression were used for statistical analysis of the data. Results: The main findings are as follows: First, communication skill and job satisfaction showed a significant positive correlation with mental health level. Secondly, some components of mental health level generally showed positive correlations with communication skill and job satisfaction. Third, multiple regression showed that 22% of the variance in the mental health level was explained. Conclusions: Based on these results of this study, we suggested that specialized programs should be established to help in development of social arbitration for public health center staff.

• Environmental and Resource Economics Review
• /
• v.9 no.2
• /
• pp.311-332
• /
• 2000

The main aim of this paper is to estimate the change in the quantity demanded of public water when the economic factors such as income and water price are changed. The privious methods to estimate the quantity of public water demanded has been usually based on the LPCD(liter per capita per day). Implicitly, this method regards the price of water as given. If the water price and income elasticities of water demand are estimated using the time-series and pooled data analysis. In the second step, the quantity demanded of public water are forecasted using the estimated elasticities. The results show that we can reduce the quantity demanded of residential water considerably when the water price is changed.

• Journal of Korean Society of Rural Planning
• /
• v.30 no.4
• /
• pp.53-60
• /
• 2024

This study analyzes the location characteristics of public service facilities in rural areas affected by population decline and proposes closure and maintenance thresholds for these facilities, drawing on the methodology used by Japan's Ministry of Land, Infrastructure, Transport, and Tourism. The study focuses on 17 types of public service facilities, including hospitals, clinics, pharmacies, elderly welfare centers, laundromats, bathhouses, convenience stores, cafes, financial institutions, high schools, libraries, and cinemas. Using 2020 population data from the Korean Statistical Information Service (KOSIS) and local government facility data, the analysis covers 1,403 townships to calculate the probability of facility existence based on population size. The results reveal that in areas with populations under 3,000, many service facilities fall below the closure threshold, indicating sustainability challenges. Moreover, the thresholds vary by facility type, with certain services like cinemas only being viable in areas with populations exceeding 10,000. This study offers policy insights for optimizing the distribution and investment of public service facilities in rural regions, and it can serve as a foundational resource for future rural development planning. However, the study is limited by its reliance on 2020 data, which may not fully capture recent population shifts or facility usage patterns, and by its focus on township-level analysis without considering regional accessibility or cross-border facility usage.

• KIEAE Journal
• /
• v.15 no.1
• /
• pp.21-27
• /
• 2015

In the case of public buildings, fast communication and transparency in the administration and the public, as well as ensuring visibility and lighting performance using a glass curtain wall is symbolically expressed through the transparent glass skin. This study is a simulation in order to derive the basic data for the establishment of the improvement of the heating and cooling load analysis according to the window area ratio changes with respect to the high effectiveness of the government's large public building energy consumption analysis and green building certification system of guidelines was analyzed by a change in the energy load. Glass curtain wall is light and visibility, the symbolic meaning of communication, etc., but is widely used in a variety of characteristics, in terms of energy consumption being disadvantaged sheath plan should have been. Design, including the Atrium, is much less energy than energy consumption by the window area ratio. Thus, while compliance with design guide lines, the atrium and I like the burden of a large space ratio and energy load consists of only glass suggest that require more research on that given in the guidelines.

• Communications for Statistical Applications and Methods
• /
• v.25 no.6
• /
• pp.619-631
• /
• 2018

Functional data analysis continues to attract interest because advances in technology across many fields have increasingly permitted measurements to be made from continuous processes on a discretized scale. Particulate matter is among the most harmful air pollutants affecting public health and the environment, and levels of PM10 (particles less than 10 micrometers in diameter) for regions of California remain among the highest in the United States. The relatively high frequency of particulate matter sampling enables us to regard the data as functional data. In this work, we investigate the dominant modes of variation of PM10 using functional data analysis methodologies. Our analysis provides insight into the underlying data structure of PM10, and it captures the size and temporal variation of this underlying data structure. In addition, our study shows that certain aspects of size and temporal variation of the underlying PM10 structure are associated with changes in large-scale climate indices that quantify variations of sea surface temperature and atmospheric circulation patterns.

• Journal of Preventive Medicine and Public Health
• /
• v.56 no.2
• /
• pp.100-110
• /
• 2023

Qualitative research methodology has been applied with increasing frequency in various fields, including in healthcare research, where quantitative research methodology has traditionally dominated, with an empirically driven approach involving statistical analysis. Drawing upon artifacts and verbal data collected from in-depth interviews or participatory observations, qualitative research examines the comprehensive experiences of research participants who have experienced salient yet unappreciated phenomena. In this study, we review 6 representative qualitative research methodologies in terms of their characteristics and analysis methods: consensual qualitative research, phenomenological research, qualitative case study, grounded theory, photovoice, and content analysis. We mainly focus on specific aspects of data analysis and the description of results, while also providing a brief overview of each methodology's philosophical background. Furthermore, since quantitative researchers have criticized qualitative research methodology for its perceived lack of validity, we examine various validation methods of qualitative research. This review article intends to assist researchers in employing an ideal qualitative research methodology and in reviewing and evaluating qualitative research with proper standards and criteria.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.6
• /
• pp.287-296
• /
• 2020

The study investigates the relationship and influence between religiosity, reward, and engagement in the public administration sector, both directly and causally via moderation. This study involved one hundred and twenty-three respondents in three local government organizations in Malang City, East Java Province, Indonesia, namely, the Malang City General Hospital, the Population and Civil Registry Office, and the Investment Office. The sampling method uses stratified random sampling from the total population of civil servants in Malang in the three institutions. The data analysis model of this study uses a quantitative approach with a unit of data analysis using the path analysis method. The analytical tools used are smart-PLS and SPSS. The results reveal that the direct combined effect of reward and religiosity has a positive and significant influence on the engagement. However, moderation between reward and commitment, which is bridged by religiosity, does not show positive and significant results. The non-positive relationship shown by testing moderation concludes that there is a separation of purpose between the portion of religiosity in the world of work, where religiosity in this study is only described as part of the concept of worship, and the relationship between the person and his God.

• Communications for Statistical Applications and Methods
• /
• v.17 no.5
• /
• pp.745-753
• /
• 2010

Compared to the U.S. Government Accountability Office(GAO) and the U.K. National Audit Office(NAO), the Board of Audit and Inspection of Korea(BAI) has not laid a rather solid system for effective assessment and judgment on the reliability of computer-processed data used as audit evidence in its public auditing activities. Accordingly, based on the experiences of GAO and NAO, this study suggests criteria and methods as the key elements of the methodological framework for assessing the reliability of information system data. Then, the usefulness and effectiveness of the criteria and techniques for assessing data reliability were tested and proved by applying to the analysis of allotment for mandatory disabled employment data that have been computer-processed and managed by the Korea Employment Agency for the Disabled(KEAD).

• Communications for Statistical Applications and Methods
• /
• v.25 no.2
• /
• pp.173-184
• /
• 2018

In medical or public health research, it is common to encounter clustered or longitudinal count data that exhibit excess zeros. For example, health care utilization data often have a multi-modal distribution with excess zeroes as well as a multilevel structure where patients are nested within physicians and hospitals. To analyze this type of data, zero-inflated count models with mixed effects have been developed where a count response variable is assumed to be distributed as a mixture of a Poisson or negative binomial and a distribution with a point mass of zeros that include random effects. However, no study has considered a situation where data are also censored due to the finite nature of the observation period or follow-up. In this paper, we present a weighted version of zero-inflated Poisson model with random effects accounting for variable individual follow-up times. We suggested two different types of weight function. The performance of the proposed model is evaluated and compared to a standard zero-inflated mixed model through simulation studies. This approach is then applied to Medicaid data analysis.