• Korean Journal of Occupational Health Nursing
• /
• v.16 no.2
• /
• pp.177-187
• /
• 2007

Purpose: We were to identify the differences of "Job stress" and "Depression scores" in the divided groups by self-efficacy. And the factors affecting Depression scores were analyzed. Method: This study was conducted from July 2006 to September 2006. Collected 295 surveys were used in this study among 311 surveys since 16 surveys offered insufficient data. SPSS for Windows 10.0 was used to analyse the data. Result: We identified the factors of "Occupational climate", "Job control", "Job demand" as affecting the depression scores in the lower self-efficacy group by the multi-variables statistical analysis. And this statistical model had 12.5% explainable power. Also, the factors of "Occupational climate" were identified as affecting the depression scores in the higher self-efficacy group. And the statistical model had 9.0% explainable power. Conclusion: In the lower self-efficacy group, the scores of the job stress and depression were significantly higher. Therefore, in the lower self-efficacy group, the self-efficacy promotion programs should be needed for prevention of the related occupational diseases. The factors related job stress were identified as affecting the depression scores in both lower and higher self-efficacy groups. Therefore, job stress management program should be prepared for stress loading workers.

• 한국지구물리탐사학회:학술대회논문집
• /
• 2003.11a
• /
• pp.281-287
• /
• 2003

A Natural cavities were found at shallow depth during construction of a huge bridge in Moon-Kyung, Korea. The distribution patterns of cavities in the Moon-Kyung limestone were investigated carefully with a supplementary field job such as a structural geological survey, a geophysical survey, and a rock mechanical test in laboratory or field. A structural geological mapping produced a detail geological map on this area. It suggested that there were three faults in this area, and these faults had an influence on the mechanism of natural cavities. Among many kinds of geophysical surveys, an electrical resistivity prospecting was applied firstly on the specific area that was selected by results from the geological survey. Many evidences for cavities were disclosed from this geophysical data. Therefore, a seismic tomography was tested on the target area, which was focused by results from the electrical resistivity prospecting and was believed to have several large cavities. A distinct element numerical simulation using the UDEC was followed on the target area after completing all of field surveys. Data from field tests were directly dumped or extrapolated to numerical simulations as input data. It was verified from numerical analysis that several natural cavities underneath the foundation of the bridge should be reinforced. Based on the project result, finally, most of foundations for the bridge were re-examined and the cement grouting reinforcement was constructed on several foundations among them.

• Asian Pacific Journal of Cancer Prevention
• /
• v.14 no.6
• /
• pp.3865-3869
• /
• 2013

Background: Cigarette per day (CPD) use is a key smoking behaviour indicator. It reflects smoking intensity which is directly proportional to the occurrence of tobacco induced cancers. Self reported CPD assessment in surveys may suffer from digit bias and under reporting. Estimates from such surveys could influence the policy decision for tobacco control efforts. In this context, this study aimed at identifying underlying factors of digit bias and its implications for Global Adult Tobacco Surveillance. Materials or Methods: Daily manufactured cigarette users CPD frequencies from Global Adult Tobacco Survey (GATS) - India data were analyzed. Adapted Whipple Index was estimated to assess digit bias and data quality of reported CPD frequency. Digit bias was quantified by considering reporting of '0' or '5' as the terminal digits in the CPD frequency. The factors influencing it were identified by bivariate and logistic regression analysis. Results: The mean and mode of CPD frequency was 6.7 and 10 respectively. Around 14.5%, 15.1% and 15.2% of daily smokers had reported their CPD frequency as 2, 5 and 10 respectively. Modified Whipple index was estimated to be 226.3 indicating poor data quality. Digit bias was observed in 38% of the daily smokers. Heavy smoking, urban residence, North, South, North- East region of India, less than primary, secondary or higher educated and fourth asset index quintile group were significantly associated with digit bias. Discussion: The present study highlighted poor quality of CPD frequency data in the GATS-India survey and need for its improvement. Modeling of digit preference and smoothing of the CPD frequency data is required to improve quality of data. Marketing of 10 cigarette sticks per pack may influence CPD frequency reporting, but this needs further examination. Exploring alternative methods to reduce digit bias in cross sectional surveys should be given priority.

• Asian Journal for Public Opinion Research
• /
• v.3 no.4
• /
• pp.156-175
• /
• 2016

This paper considers whether random sampling always produces more accurate survey results in the case of South Korea. We compare information from the 2010 census to the demographic variables of three public opinion surveys from South Korea: Gallup Korea's Omnibus Survey (Survey A) is conducted every two months by Gallup Korea; the annual Social Survey (Survey B) is conducted by Statistics Korea (KOSTAT); the Korean General Social Survey (KGSS or Survey C) is conducted annually by the Survey Research Center (SRC) at Sungkyunkwan University (SKKU). Survey A uses quota sampling after randomly selecting the neighborhood and initial addresses; Survey B uses random sampling, but allows replacements in some situations; Survey C uses simple random sampling. Data from more than one year was used for each survey. Our analysis suggests that Survey B is the most representative in most respects, and, in some respects, Survey A may be more representative than Survey C. Data from Survey C was the least stable in terms of representativeness by geographical area and age. Single-person households were underrepresented in both Surveys A and C, but the problem was more severe in Survey A. Four-person households and married persons were both over-represented in Survey A. Less educated people were under-represented in both Survey A and Survey C. There were differences in income level between Survey A and Survey C, but income data was not available for Survey B or the census, so it is difficult to ascertain which survey was more representative in this case.

• Communications for Statistical Applications and Methods
• /
• v.21 no.2
• /
• pp.135-145
• /
• 2014

The present study surveys Bayesian modeling structure for inferences about transition probabilities of Markov chain. The motivation of the study came from the data that shows transitional behaviors of emotionally disturbed children undergoing residential treatment program. Dirichlet distribution was used as prior for the multinomial distribution. The analysis with real data was implemented in WinBUGS programming environment. The performance of the model was compared to that of alternative approaches.

• Electronics and Telecommunications Trends
• /
• v.36 no.6
• /
• pp.55-66
• /
• 2021

The air traffic industry, one of Korea's major industries, has recently experienced increased demand from overseas air passengers, launched a low-cost airline, and increased special freight transportation capacity. These initiatives have had a positive impact on air traffic (for example, profitability); however, air traffic management has become more complex, which has increased the incidence of aviation accidents and created safety hazards. There is an increasing need to collect and analyze aviation data that can proactively respond to aviation accidents. Concatenation of collected aviation data as big data and the development of artificial intelligence technology are gradually expanding aviation safety event analysis from conventional statistical analysis to machine learning-based analysis. This paper surveys the trends of flight safety event analysis to derive aviation safety risk factors by looking at the types and characteristics of aviation data that can be used to predict accidents related to safety in aviation operations.

• The Korean Journal of Archival Studies
• /
• no.51
• /
• pp.307-336
• /
• 2017

The present study aims at encouraging discussion on research paradigms as well as research methodologies of records and archives studies. Reviewing research paradigms, defined by Guba and Lincoln based on basic beliefs, leads to the suggestion that the discipline needs to reach to a certain degree of consensus on ontological, epistemological, and methodological premises in order to inform and guide future research. To make the argument, the present study reviews all research papers published in two major journals: the Korean Journal of Archival Studies and Journal of Korean Society of Archives and Records Management, from 2007 to 2016. It then identifies 80 research papers from positivistic research and reviews 32 papers, which collected data through surveys and experiments.

• The Journal of Economics, Marketing and Management
• /
• v.12 no.4
• /
• pp.65-76
• /
• 2024

Purpose: This study aims to identify the relationship between SMEs' digital transformation capabilities, smart factory utilization, and management performance. It also aims to suggest how companies strategically utilize smart factories to achieve a competitive advantage and sustainable growth through empirical analysis of differences in innovation resistance and organizational characteristics. Research design, data, and methodology: This study Implement for SME's building smart factories did. The survey was conducted for 90days from October 1st, 2023 to December 31th, 2023. Total of 210 surveys were collected, and 186 surveys, excluding ones with missing value and outliers (64 surveys), were used. Results: The results of the empirical analysis based on previous research are as follows. First, digital transformation capabilities such as digital technology, digital leadership, and digital strategy affect smart factory utilization. Second, smart factory use affects operational performance. Third, innovation resistance has a moderating effect in the relationship with digital transformation capabilities, smart factory utilization, and management performance. Fourth, organizational characteristics have a moderating effect in the relationship with digital transformation capabilities, smart factory utilization, and management performance. Conclusions: Explore strategic ways to improve your organization's digital transformation capabilities. It is necessary to establish a strategy to make organizational members aware of the necessity and importance of introducing a new system through centralization of the organization.

• Korean Journal of Health Education and Promotion
• /
• v.29 no.1
• /
• pp.39-57
• /
• 2012

Objectives: This study was to measure community capacity using individual-level and organizational-level capacity indicators and illuminated the relationship of community capacity and self-rated health status in two regions in Seoul, Korea. Methods: The data from individual surveys were obtained by quota sampling the residents of two autonomous gu in Seoul (N=1,000). The data from organizational surveys were obtained by snowball sampling lists of organizations in the possession of gu offices with a sampling frame (N=153). The survey tools were 6 indicators regarding residents' social capital and a sense of community and 5 indicators regarding community-based organizations and their networks. The analysis methods consisted of the effect of the components of capacity on health status and social network analysis. Results: As for capacity on individual levels, while D-gu was mainly developed inn individual capacity in terms of social interaction, Y-gu was stronger in a sense of community and cohesion among residents. As for capacity on organizational levels, Y-gu was more developed than was D-gu in associational networks. Conclusion: It is necessary to develop health promotion program per community and to strengthen partnerships with and among grassroots organizations based in local communities through the measurement of community capacity.

• The Bulletin of The Korean Astronomical Society
• /
• v.38 no.2
• /
• pp.56.2-56.2
• /
• 2013

We study the three-dimensional genus topology of large-scale structure using the CMASS Data Release 11 sample of the SDSS-III Baryon Oscillation Spectroscopic Survey (BOSS). The CMASS sample yields a genus curve that is characteristic of one produced by Gaussian random-phase initial conditions. The data thus supports the standard model of inflation where random quantum fluctuations in the early universe produced Gaussian random-phase initial conditions. Modest deviations in the observed genus from random phase are as expected from the nonlinear evolution of structure. We construct mock SDSS CMASS surveys along the past light cone from the Horizon Run 3 (HR3) N-body simulations, where gravitationally bound dark matter subhalos are identified as the sites of galaxy formation. We study the genus topology of the HR3 mock surveys with the same geometry and sampling density as the observational sample, and the observed genus topology to be consistent with LCDM as simulated by the HR3 mock samples.