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

• Survey Research
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• v.1 no.1
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• pp.109-123
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• 2000

In order to make statistically valid inferences for survey data based on complex probability sample designs, survey researchers must incorporate the sample design in the data analysis If this in not the case the variance estimates of survey statistics derived under the usual simple random sampling assumptions from an infinite population generally underestimate the true variance, which results in high Type l error level. In this article we introduce new software packages dedicated to analyze complex survey data In particular, we summarize analysis capabilities on SUDAAN Version 7.5 and SAS Version 8.

• Korean Journal of Community Nutrition
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• v.23 no.5
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• pp.444-455
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• 2018

Objectives: The current survey environment is changing and participation rates in national nutrition surveys are decreasing. Therefore, the purpose of this study was to develop strategies for improving the nutrition survey system in the Korea National Health and Nutrition Examination Survey (KNHANES). Methods: To develop an alternative system for conducting the KNHANES nutritional survey, we conducted focus group interviews with stakeholders of the survey, SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis, and expert reviews. In addition, spatial analysis of potential sites for conducting surveys instead of relying on household visits was performed, and the perception of nutritional surveys in the population eligible for KNHANES was evaluated. Results: Based on the results of the focus group interviews, SWOT analysis, and expert reviews, we propose two options for survey sites: vehicles specifically prepared for nutritional surveys and public facilities such as community service centers or public health centers. Among public facilities, community service centers were found to be more appropriate sites than public health centers because they were considered more accessible. About 90% of respondents would participate in the survey in public facilities and about 74% would in vehicles. Conclusions: Conducting national nutrition surveys in specially designed vehicles and public facilities could be a viable alternative to home visits. Next, the validity of these newly proposed nutrition survey methods needs to be compared to the results of the current national nutrition survey.

• 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.

• Journal of Distribution Science
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• v.10 no.12
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• pp.5-11
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• 2012

Purpose - This paper proposes measurement models to evaluate the management performance of small and medium-sized retail businesses on the basis of a trading area analysis that compares their proposed revenue to actual revenue in the trading area. Research design, data, methodology - The study proposes measurement models consisting of five stages, namely: (1) district background survey, (2) customer survey, (3) competitor survey, (4) business district survey, and (5) business performance analysis. Results - To identify business districts easily, this study preferred a minor-adjusted method based on the Euclidean distance, as it is simple to employ for the small and medium-sized businesses. This model was applied to select coffee shops in Daejeon. Results indicated that although the targeted shop was not located in an appropriate location, actual sales were higher than expected. Conclusions - Small- or medium-sized retail businesses face difficulties regarding the economies of scale and brand recognition and must choose an appropriate location to ensure management stability. However, such businesses will find it difficult to evaluate their competitive edge accurately using a trading area analysis.

• Proceedings of the Korean Geotechical Society Conference
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• 2005.10a
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• pp.639-648
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• 2005

Up to now, practical engineers applying simplicity value of rockfall block weight suggested in design manual without considering in-situ rockfall block weight which reflect joint characteristics. However, the size of rockfall block varies with joint spacing of discontinuities and influences over rockfall analysis results. In this paper, we estimate realistic rockfall block weight distribution using statistical invariances of joint spacing derived from scan-line survey result. And, we study whether this distribution is applicable in practical rockfall analysis directly. As the results of this study, rockfall analysis results that using rockfall block weight distribution estimated from scan-line survey show resonable and realistic outcomes.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.281-282
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• 2021

The construction industry is known for a large number of workers and its high employment inducing effect. Therefore, the survey on the wages of the construction industry is an important basic data for grasping fluctuations according to the survey cycle and establishing future policies, and it is a statistical data having a large impact on related industries. In this study, we intend to conduct a comparative analysis of 'the wage survey in Construction sector,' which is the representative nationally approved statistics that surveys the current construction industry wages, and 'the labor force survey of business establishment'.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.223-232
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• 2013

Other comments on matters satisfaction survey through questionnaires typically measure by frequency analysis method is performed, the short answer for how to apply. These satisfaction surveys, however, because of the environment and atmosphere of its target at the time of the survey, personal psychological state, depending on the scale of change in business or policy of customer satisfaction feedback, there is a problem. This survey results, tangible results in terms of the feasibility of the business and policy indirectly as a result, which has been used as a material fact is. New survey method is show how the business and policy objectives than can be reflected positively in the present study, and comparing these surveys in a variety of ways for the analytical method proposed by KANO, Timko results suggested. Should be an ongoing investigation, and different survey methods for the study on the same sample the actual observed by comparing the results for the superiority of the new results presented.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.769-774
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• 2010

KTX Introduced in korea have occurred enhanced services and reduced regional travel time. "Induced traffic" is defined in the traffic demand generated in new project. 'Induced traffic' compared to the Diversion Demand Survey and research on ways to quantify the situation, insufficient analysis of constant and long-term observations are needed to estimate the changes in demand. In this study, Induced traffic effects due to the opening of KTX for analysis survey to passengers by Railway and the scale factor induced traffic review.

• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.2
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• pp.49-56
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• 2021

Purpose: This study aims to provide a way to improve hospital satisfaction through improvement of hospital bulletins based on the analysis of the actual condition of hospital bulletins and satisfaction analysis for patients. Methods: First, a case study is conducted. After setting the analysis items based on previous studies and case study, a satisfaction survey is conducted on patients and statistical analysis is performed. Results: As a result of factor analysis, factors were classified into four categories: legibility, visibility, effectiveness, and frequency. As a result of the importance analysis through multiple regression analysis of four factors affecting hospital satisfaction, the importance of the "legibility" factor was the highest, followed by the "frequency", "effectiveness", and "visibility". As a result of the satisfaction analysis of the bulletins in the study site, the "visibility" factor was the highest, followed by "legibility", "effectiveness", and "frequency". Implications: In order to improve hospital satisfaction, the improvement of factors of high importance should be considered first. In other words, in hospital bulletins, legibility and frequency should be considered first. In addition, hospital satisfaction can be maximized by improving the level of factors and variables that are low in the satisfaction survey by factor.