• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.421-430
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• 2006

In sample survey sample designs are performed by geographically-based domain such as countries, states and metropolitan areas. However mostly statistics of interests are smaller domain than sample designed domain. Then sample sizes are typically small or even zero within the domain of interest. Shin and Lee(2003) mentioned Spatial Autoregressive(SAR) model in small area estimation model-based method and show the effectiveness by MSE. In this study, Bayesian Auto-Poisson Model is applied in model-based small area estimation method and compare the results with SAR model using MSE ME and bias check diagnosis using regression line. In this paper Survey of Disability, Aging and Cares(SDAC) data are used for simulation studies.

• Survey Research
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• v.10 no.3
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• pp.157-172
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• 2009

For a survey research in which the characteristics of the population of interest are investigated from a sample, representativeness of the sampling frame is one of the most important part to be considered. If the sampling frame fails to represent the population properly, statistical procedures based on the even efficient sampling design result in significant nonsampling biases and thus the statistical validities of the results could be damaged. But the construction of the reliable sampling frame that covers the population properly costs money and time and thus the sampling frame based on a census or a large scale survey is often used in practice. For example, the sampling frame based on the population households census is used for many household surveys in Korea. But due to the time difference between the census and a survey of interest, the sampling frame constructed from the census is expected to fail to cover the population of interest. Especially, one could expect a large amount of population and household movement in a large city like Seoul. Thus in our research, we considered the construction of new sampling frame and the procedure of sample selection for 2008 Seoul survey. We analyzed the sampling frame based on 2005 population households census and found that it does not represent the population properly. Thus, we proposed a new sampling frame based on resident registration DB for 2008 Seoul survey. We also proposed the sampling weights and estimator of the population mean based on the sample selected from the newly constructed sampling frame.

• The Korean Journal of Applied Statistics
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• v.21 no.3
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• pp.413-427
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• 2008

In sample design, it is usually planned by purpose and the range of the announcing statistics from the survey. After survey, getting a proper and decent statistics, applying the proper weights on the results of survey is very important and necessary. Therefore in this study, three estimation methods which are raking, BLS and general linear regression method are compared with MSE, Coverage, CV, LE and NC.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.639-647
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• 2020

Entrepreneurial intention is receiving immense recognition in entrepreneurship researches, as it motives an individual to become an entrepreneur. Still, the interplay between gender perspective and contextual factors (i.e., access to capital, business information, social network, educational support, structural support) are not fully investigated in understanding the entrepreneurial intention in developing countries like Bangladesh. Therefore, the paper aims to examine the gender difference and educational discipline difference in the university's students' entrepreneurial intention in relation to contextual factors in Bangladesh. In this study, sample has been particularly taken from the different disciplinary students of private universities. Five-point Likert scale-based survey questionnaire was developed based on past researches. 280 online survey forms were distributed among the university students and finally 225 students' response were found correct as the study sample size (final survey response rate = 80%), after eliminating the incorrect survey responses. For statistical analysis SPSS 23.0 version is used. One-way ANOVA is used to measure the gender and discipline difference on entrepreneurial intention among male and female students. The results show that business information and social network will have more influence on male students' entrepreneurial intention, and comparatively, business students have more willingness to become entrepreneurs than other departmental students.

• International Journal of Railway
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• v.5 no.4
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• pp.139-143
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• 2012

In Korea, almost 700 industrial parks are under operation. Generally, industrial parks consist of national industrial parks and local industrial parks which are managed by a central government and by local governments respectively. The developing countries such as Korea, China and Vietnam etc. have constructed many industrial parks, which result in the change of land use pattern and also affect future trip demands. Therefore, in estimating traffic demands, it is very important to consider the industrial park development. This study aims to improve the methodology in estimating a freight trip generation rate with the data based on a nationwide commodity freight survey. The result showed that it is desirable to apply freight trip generation rate by the industry sector in estimating freight trip generations and using the production area of firm as an indicator. Specially, the reliability of the rates through a survey could be made sure because a sample rate based on firms in industrial parks was over 25% and the response rate was over 67%. The sample rate and response rate are very superior as compared to surveys conducted in many other countries. Because industrial parks have significant effects on forecasting transportation demand in pre-feasibility studies of transport and logistics projects, it is expected that the accuracy of freight trip demands would be improved through the results of this study.

• The Korean Journal of Health Service Management
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• v.13 no.3
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• pp.127-136
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• 2019

Objectives: This study examined the determinants of quality of life, depending on the presence or absence of asthma in adults, based on secondary wave data. Methods: Among the 21,724 people participating in the 6th Korea National Health and Nutrition Examination Survey as it was conducted from the first to third period, 495 participants who were aged 19 or older and responded to the question of the presence or absence of asthma were included in the final analysis. Demographic characteristics were examined using the SPSS/WIN 23.0 software tool for analysis of complex sample survey data. Health-related characteristics were presented using descriptive and multivariate analysis of data. Rao_Scott ${\chi}^2$ was used for the analysis of differences in quality of life, and multiple regression analysis of complex sample survey data was used to analyze factors affecting quality of life. Results: The variable factors negatively influencing quality of life were aging, cognition of their ill health, and limited activities. Conclusions: Based on the analysis, the study suggests that practical and ongoing nursing intervention proposals to improve the quality of life of asthmatic patients should be implemented not only for physical limitations and aging but also for psychological factors that reflect subjective health statuses.

• The Bulletin of The Korean Astronomical Society
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• v.43 no.1
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• pp.57.2-57.2
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• 2018

We present the preliminary result from our KVN single-dish observations of the MALATANG sample. The MALATANG (Mapping the dense molecular gas in the strongest star-forming Galaxies) is one of the JCMT legacy surveys on the nearest 23 IR-brightest galaxies beyond the Local Group. The goal of the MALATANG survey is to map the sample in the dense gas tracers (HCN and HCO+J=4-3), and probe the relationships between the dense molecular gas and star formation activities. As a complementary study, we recently launched a KVN/KaVA program on the same sample, in order to measure their flux densities and parsec-scale jet/outflows in the millimeter regime, which will be greatly useful in understanding the initial conditions of the feedback process. In this work, we present the preliminary result from our pilot KVN single-dish program on a sub-sample, which will be used to select the future VLBI imaging study under plan. We investigate the KVN spectral energy distributions (SED) of the sample as a function of the power source of the luminous IR brightness of each target (starburst? AGN? or hybrid?). We also discuss the technical challenges that we experienced during our KVN observations due to the large size of the sample in the sky.

• Korean journal of food and cookery science
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• v.33 no.3
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• pp.264-274
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• 2017

Purpose: The purpose of this study was to analyze the meal types by cooking methods provided at different meal provision places using the 2015 Korea National Health and Nutrition Examination Survey. Methods: A total of 42,441 meal data on adults from the 2015 Korea National Health and Nutrition Examination Survey were used for analysis. The data were analyzed by complex sample $x^2-test$ of independence and complex sample logistic regression analysis using SPSS 23.0 for Windows. Results: The meal provision place showing the highest frequency was home (60.2%), followed by commercial (32.5%) and institutional foodservices (7.3%). The meal types by cooking method most frequently consumed were rices (18.3%) and kimchis (16.6%). The results of the complex sample logistic regression analysis showed that breads & snacks, steamed or braised dishes, fried dishes, and fresh seasoned vegetables were more likely to be consumed at commercial or institutional foodservices than at home. In addition, noodles & dumplings were more likely to be consumed at commercial places, and Korean soups were consumed at institutional foodservices. Conclusion: From the results of this study, it is suggested to develop recipes for substitution of fried dishes and to develop low sodium recipes at commercial and institutional foodservices. In addition, education of consumers of commercial foodservice is needed to reduce consumption of fried dishes, salted seafoods, and pickled vegetables and encourage consumers to choose meals from institutional foodservice managed by dietitians.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.2
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• pp.25-32
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• 2024

Purpose: This study utilizes big data from the 8th (2021) National Health and Nutrition Examination Survey to determine first, the relationship between chewing discomfort in the elderly and some systemic diseases and second, whether oral diseases and oral health problems are related to systemic diseases. Since this may have an impact, we aim to provide basic data to facilitate the expansion and emphasize the importance of integrated health management education. Methods: Original data from the 8th (2021) National Health and Nutrition Survey, conducted by the Korea Centers for Disease Control and Prevention, were analyzed using SPSS Version 21.0 (IBM). A complex sample frequency analysis was conducted to confirm the general and health-related characteristics of the study subjects, and a complex sample cross-analysis was conducted to determine chewing discomfort according to both general and health-related characteristics. Complex sample multiple logistic regression analysis was conducted to determine the effect on chewing discomfort. Results: In order to analyze the factors that affect chewing discomfort, the general characteristics that showed significant differences in chewing discomfort were adjusted for age, personal income, education level, basic livelihood security, high blood pressure, subjective health status, and subjective oral health. It was found that the condition had a statistically significant effect on chewing discomfort. Conclusion: The findings of this study demonstrate that high blood pressure, subjective health status, and subjective oral health status affect chewing discomfort; hence, measures such as developing and operating programs to improve national oral health are needed. We hope that our study will be used as basic data for research into chewing discomfort and systemic diseases in the elderly.

• Journal of Preventive Medicine and Public Health
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• v.46 no.2
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• pp.96-104
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• 2013

Objectives: The inherent nature of the Korean National Health and Nutrition Examination Survey (KNHANES) design requires special analysis by incorporating sample weights, stratification, and clustering not used in ordinary statistical procedures. Methods: This study investigated the proportion of research papers that have used an appropriate statistical methodology out of the research papers analyzing the KNHANES cited in the PubMed online system from 2007 to 2012. We also compared differences in mean and regression estimates between the ordinary statistical data analyses without sampling weight and design-based data analyses using the KNHANES 2008 to 2010. Results: Of the 247 research articles cited in PubMed, only 19.8% of all articles used survey design analysis, compared with 80.2% of articles that used ordinary statistical analysis, treating KNHANES data as if it were collected using a simple random sampling method. Means and standard errors differed between the ordinary statistical data analyses and design-based analyses, and the standard errors in the design-based analyses tended to be larger than those in the ordinary statistical data analyses. Conclusions: Ignoring complex survey design can result in biased estimates and overstated significance levels. Sample weights, stratification, and clustering of the design must be incorporated into analyses to ensure the development of appropriate estimates and standard errors of these estimates.