• 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.18 no.1
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• pp.149-159
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• 2007

The main purpose of this paper is to develop a questionnaire creation system by expert co-operation on the web. The most difficult problem in a survey is to make questionnaires. To solve this problem, we suggest the questionnaire creation system which is to create questionnaire for survey by expert collaboration. We can create the best questionnaire because it can gather and exchange to questionnaire information from experts.

• Journal of the Korean Data and Information Science Society
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• v.19 no.1
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• pp.37-51
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• 2008

In this article, the aim is at evaluating the knowledge level of the foodbome disease by developing a reasonable survey questionnaire model. Each questions of the questionnaire is made up to check the knowledge covering the several fields of materials related to the foodbome disease. The pilot survey is implemented to evaluate the validity of questionnaire. Each question in questionnaire is scored to get the quantitative measure of the foodbome disease knowledge by converting the total score into 100 points.

• The Journal of Korean Physical Therapy
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• v.35 no.5
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• pp.139-144
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• 2023

Purpose: This study developed a Korean sentiment questionnaire by adapting an existing English survey using focus group interview (FGI)-based cognitive interview (CI) techniques to investigate the utilization of outcome measures (OMs) among Korean physical therapists. Methods: The existing OMs survey questionnaire was adapted by dividing eight physical therapists into two groups: mid-experienced (n=4) and high-experienced (n=4). Each group participated in a 120-minute FGI-based CI session. All interviews were recorded, and the researcher transcribed the data immediately after each interview. The data were then organized and categorized into themes using Excel 2021 and verified with the participants. Results: FGI-based CI sessions were conducted with Korean physical therapists to revise the English version of the questionnaire, tailoring it to the local context. Four main themes emerged from the interviews: inappropriate items or translations, questionnaire length and organization, questionnaire improvements, and additional items. The questionnaire was revised based on the feedback obtained during these interviews. Conclusion: The questionnaire was modified according to the themes derived from the interviews. The questionnaire was developed to represent the clinical environment of Korean physical therapy accurately by removing elements of the questionnaire unsuitable for the Korean sentiment and incorporating the perspectives of Korean physical therapists.

• 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.

• 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.

• 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.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.2
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• pp.193-203
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• 2021

Purpose : This study aims to identify the effects of peer tutoring on the peer group caring interaction, interpersonal competence, and academic self-efficacy of nursing college students and to use them for practical education. Methods : The participants comprised 33 nursing students who lived in Gyeong-nam Province. Data were collected from February 1 to May 1, 2019. The PGCIS -K Questionnaire, Interpersonal Competence Questionnaire, and Academic Self-efficacy Questionnaire were used. Data were analyzed by average, standard deviation, minimum, maximum, and Wilcoxon signed rank test using SPSS version 23.0. Results : A significant difference was found in the data obtained from the Interpersonal Competence Questionnaire (z=-2.13, p<.03) but not from the PGCIS-K Questionnaire of the research subjects who participated in peer tutoring (z=-.89, p<.37) and from the Academic Self-efficacy Questionnaire (z=-.78, p<.43). Furthermore, their interpersonal competence significantly increased after the peer tutoring program. Conclusion : This study developed a peer tutoring program for nursing students and applied it to basic nursing practice classes to verify its effect on peer group caring interaction, interpersonal competence, and academic self-efficacy. The subjects improved their peer group caring interaction and interpersonal competence through peer tutoring. Peer tutoring also showed an effect on interpersonal competence.

• Journal of the Korean Society for information Management
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• v.37 no.3
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• pp.77-106
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• 2020

In this study, we proposed a method to systematically manage research data in the field of condensed matter physics, which is the most active and interdisciplinary field. In the course of the research, a questionnaire was conducted for researchers in the field of condensed matter physics. The questionnaire was constructed based on the research data management tool Data Asset Framework (DAF) and the FAIR principle for data sharing and reuse. The current status of research data management in the field of aggregated material physics was collected from 14 researchers. The collected data consisted of data on the characteristics and basic information of researchers who answered the questionnaire, data preservation and management, and data sharing and access. By analyzing the collected questionnaire results, nine problems were drawn about the characteristics of research data in the field of aggregate material physics, data collection and production, data preservation and management, data sharing and access. In this study, suggestions were made to improve the problems derived from each aspect.

• Journal of Korean Society of Rural Planning
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• v.7 no.1 s.13
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• pp.49-59
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• 2001

This study aimed at developing the through processing system of questionnaire works for public participating village appraisals. With the data-base system of standardized questions menu pool developed in the previous study, the system was developed using Visual Basic 6.0 and Access 97 and consisted of 3 subsystems; Questionnaire Design, Data-in, Analysis/Presentation. Using the system developed in this study, questionnaire works for village appraisal was carried out at the 3 sample villages and processed. The questionnaire results were compared with resources evaluation results from another past study at the same sample villages, which showed much accordance between them.