• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.5
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• pp.46-52
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• 2002

Today's database system needs to collect huge amount of questionnaire that results from development of the information technology by the internet, so it has to be administrable. However, there are many difficulties concerned with finding analytic data or useful information in the high capacity-database. Data mining can solve these problems and utilize the database. Questionnaire analysis that uses data mining has drawn relevant patterns that did not look or was tended to overlook before. These patterns can be applied by a new business rule. The purpose of this research is to analyze the questionnaire results and to present the result that can help to make decision easily with data mining. Recognition and analysis about these techniques of data mining show suitable type of questionnaire survey. This research focus on the form of present composition and the model of suitable questionnaire to analyze the type of it. Also, the comparison between the actual questionnaire result and the conventional statistical analysis is examined.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.989-998
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• 2005

The internet survey is more time and cost efficient than the off-line survey. We design and implement a web-based questionnaire generating system for the internet survey. The system guides users to make up a questionnaire step by step. It also generates data code for the statistical packages such as SPSS and SAS when the internet survey has been done.

• Quality Improvement in Health Care
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• v.7 no.2
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• pp.180-188
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• 2000

Objectives : The purpose of this study was to evaluate the reliability of questionnaire according to item arrangement on patient satisfaction questionnaire. Methods : We developed the two types of questionnaire with different item arrangement. In the first type (A), questions were arranged according to medical service dimensions. Questions in the second type (B) were arranged according to medical process. Both questionnaires were composed of six dimensions: physical environments, process, competence, courtesy, information giving, understanding patients. Measurements were performed on a 5-score Likert scale. In an outpatients and inpatient survey, total 777 patients answered the type A (outpatients: 257, inpatients: 128) or Type B (outpatients: 257, inpatients: 135). In order to compare the internal consistency of two types. Cronbach's ${\alpha}$ were calculated. Multiple regression analysis was also performed to know which type of questionnaire explain more of the overall satisfaction. Results : In outpatient survey, type A questionnaire showed higher internal consistency than B except physical environments dimension. Also in inpatient survey, type A had higer internal consistency than B in four dimensions(process, competence, courtesy, understanding patients). In the results of multiple regression analysis, type A questionnaire ($R^2$=0.53) explained more of the variation in overall satisfaction then B questionnaire ($R^2$=0.43) in outpatient survey. In inpatient survey, type B questionnaire ($R^2$=0.40) explained, more of the variation in overall satisfaction than type A questionnaire ($R^2$=0.33).But the difference of R was not significant in inpatient survey. Conclusion : The results of this study support that type A questionnaire has higer reliability in assessment of consumer satisfaction than type B.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.111-113
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• 2016

While big data analysis is an useful tool for reading customers' trends, questionnaire survey which directly collects the information of customer trends have been used traditionally in marketing field. In this point, this study attempts to compare the results from two methods such as big data analysis and questionnaire survey on cosmetics product brands.

• KIEAE Journal
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• v.7 no.2
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• pp.31-37
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• 2007

Despite of many supportive research to the usefulness of slide evaluation on environment of outdoor lighting, study method of using slides have provoked many discussions of its manifestation of reality of field conditions. This study aims to compare the results of slide survey with that of field survey. Distant view and short range view of nightscape of Seoul were selected. Field measurement of luminance and chromaticity were conducted and questionnaire survey were conducted. Frequency analysis, T-test, factor analysis were conducted. Results shows that distant view and short range view of field survey have better visual atmosphere than slide survey. In addition, slide survey on distant view shows lowest values. Difference between field survey and slide survey on distant view is much bigger than the results of short range view.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2027-2032
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• 2016

The rapid diffusion of smart phones and the development of data storage and analysis technology have made the field of big-data a promising industry in the future. In the marketing field, big-data analysis on social data can be used for understanding the needs of consumers as an effective and efficient marketing tool. Before the age of big-data, companies had relied upon the traditional methods such as questionnaire survey and marketing test in which a small number of consumers had participated. The traditional methods have still been used. Although both of big-data analysis and traditional methods are useful to understand consumers. It is need to check whether the results from both include similar implications. In this point, this study attempts to compare the results of big-data analysis with that of questionnaire survey on some cosmetics brands methods. As the results of this study, both results of big-data analysis and questionnaire survey include similar implications.

• The Journal of Bigdata
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• v.5 no.2
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• pp.29-42
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• 2020

In Korea, micro-enterprises are in charge of an important part of the common people's economy, but face difficulties such as excessive competition, deteriorating profitability, and concentration of life-oriented industries. In order to solve this problem, the government is providing commercial district analysis services for micro-enterprises. However, the data provided by various organizations is not standardized, and there is a limit to the composition of the service with limited data. In this paper, we propose a method of solving the data consistency problem and linking and analyzing between questionnaire information and commercial district information to expand the data analysis service. The proposed linking methods are three methods: linking the commercial area information and questionnaire information in the same area based on the type of business and area, linking the survey information centered on individual micro-enterprise, and linking a small area of questionnaire information with a large area of commercial district information. The linked commercial district information and questionnaire information can be used in various ways or expanded analysis services. This proposed a method to overcome the limitations of existing commercial district analysis services with questionnaire information and lay the foundation for expanding the commercial district analysis services necessary for micro-enterprises.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.57 no.4
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• pp.302-315
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• 2021

In this study, factors such as improvement of a fishing process and safety, reduction of the labor force and headcount and development of the automation technology for offshore (eel and crab) pot fishing vessels were analyzed. A questionnaire survey was conducted to analyze and select the key factors using independent/paired sample t-test and correlation analysis, and a living lab was operated with ship owners, skippers and experts to discuss practical needs of the site. From the result of questionnaire survey and field requirements, it was possible to understand the level of awareness of ship safety, general safety equipment, fishing work process and fishing safety equipment from the point of view of the field. In addition, there were differences in the measurement results of each items because the working environment and experience were different according to the position of the ship owner and the skipper. The results of the questionnaire survey and various perceptions of field stakeholders were reflected when analyzing the fishing system and fishing process to choose the development equipment applicable to the field. From the analysis results, the selected development equipment based on the fishing equipment and process currently in operation are pot washing device, catch separation and fish hold injection device, length limit regulations and bait ejection device after use, automatic main line winding device, bait crusher, automatic (crab) pot hauling separator and so on.

• Journal of Agricultural Extension & Community Development
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• v.23 no.3
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• pp.221-232
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• 2016

This study aims to improve the Korean Farmers' Occupational Disease and Injury Survey (KFODIS), using the questionnaire improvement model, and systematic appraisal tools. The questionnaire improvement model comprises three stages: pretesting, redesign, and field-testing. The survey was evaluated by 13 expert reviewers, using a modified version of the Questionnaire Appraisal System (QAS-99). Based on the results of pretesting, survey questions were modified at a group meeting of experts. To identify potential issues with the improved survey questions, data were collected from 20 interviews and 31 respondents before behavior coding analysis was conducted. The questionnaire improvement model and systematic appraisal tools were useful in identifying, evaluating, and correcting miscommunication and other similar issues in the KFODIS.

• Journal of the Korean Society of Safety
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• v.29 no.5
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• pp.166-171
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• 2014

This study is conducted to compare three methods of hazard analyses and to propose the control for the accidents arising under construction of heat accumulator of group energy projects(co-generation plants). The analysis of fatal accidents and the Analytic Hierarchical Process(AHP) using by the questionnaire survey for the workers engaged in the construction of heat accumulator and the quantitative questionnaire survey of expert group has been carried out. In order to analyze the fatal accidents, the 115 cases of accidents from 2001 to 2012 published by Korean Occupational Safety and Health Agency(KOSHA) and workers suffered from industrial accidents are collected and analyzed. The AHP is applied and analyzed for 66 persons of the construction site managers, safety engineers and construction engineers and the questionnaire survey of expert group is carried out and analyzed for the 51 persons of contractors and construction inspectors. The analyses of the types of accidents and the jobs of the suffered workers and the hazardous construction processes which are occurred accidents frequently are shown. The results of the analysis of fatal accidents and the AHP as well as the questionnaire of expert group are shown similar results.