• Korean Journal of Human Ecology
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• v.6 no.1
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• pp.1-13
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• 2003

This study attempts to investigate attitude toward internet shopping. internet purchase behavior. and purchase satisfaction of college student consumers. The data used for this study were collected from 361 college students who is living the southern part of Korea. and purchased goods and services on the internet at least one time during the previous 12 months. in Autumn, 2001. Data analysis were carried out using SAS package. Statistics used for data analysis were Cronbach'$\alpha$, Pearson's correlation analysis, and multiple regression. The results were summarized as follows : First, college student consumers in general are favorable to the internet shopping. The variable that has significant influence on the attitude toward the internet shopping was the web searching competence. Second, the variables that have significant influence on the internet purchases were the number of site visits, internet using time, credit card possession. personal income, and web searching competence. Third, the variables that have significant influence on the amount of internet purchases were personal income, internet using time, number of site visits. and credit card possession. Fourth, the variables that have significant influence on the satisfaction with internet shopping were internet shopping attitude and web searching competence.

• Journal of the Korean Dietetic Association
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• v.22 no.2
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• pp.79-87
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• 2016

The aim of this study was to explore the relationship between demographic characteristics and atopic dermatitis, along with adolescents' body mass index. Also, this study explored the association between dietary intakes (fruits, soda, caffeinated beverages, instant food, cracker, vegetables, and milk) of adolescents and atopic dermatitis. Korea Youth Risk Behavior Web-based Survey for 2014 was used for data analysis, in which a total of 3,532,149 middle and high school students participated. Data were analyzed by descriptive analysis and logistic regression based on the complex sample design using SPSS ver.20.0 statistics. The results showed that males had a higher prevalence rate of atopic dermatitis than females. The significant association between body mass index and atopic dermatitis was found (F=46.625, P<0.001). Students who have higher levels of body mass index showed a higher prevalence rate of atopic dermatitis. Finally, the findings showed that the intake of vegetable and milk had associations with atopic dermatitis (F=6.795, P<0.001). Greater vegetable intake was associated with less atopic dermatitis whereas greater milk intake was associated with more atopic dermatitis prevalence. Based on the above results, we found that demographic characteristics, body mass index, and some dietary food intakes of adolescents had influences on prevalence rate of atopic dermatitis.

• Korean Journal of Adult Nursing
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• v.17 no.4
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• pp.635-645
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• 2005

Purpose: This study was attempted and completed in order to settle down and qualitatively improve web-based nursing education by evaluating effect and managing strategy of tutor. Method: The development of tutor's managing strategy was based on "The Self-regulated Learning" and "The supportive Learning", then it was applied to 79 learners in one of the cyber-learning centers. After applying the tutor's managing strategy, self-regulated learning scale, attitude for school, preference for computer and academic achievement were evaluated. The development of tutor's managing strategy for web-based nursing education are consisted of participation promotion, psychological support and motivation, recognition and promotion strategy of learning activity, management strategy of evaluating stage. Result: The levels of learner's self-regulated learning, recognition, behavior, attitude on the school and learning achievement were meaningfully increased in statistics after applying for the managing strategy of tutor. The motivation level and learning participation kept high scores from the beginning with no significant statistical changes. Conclusion: It is required to develop an educational program for cultivating well-educated tutors in order to help the effective learning process of nurses based on understanding characteristics of learners.

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.329-332
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• 2009

이 논문에서는 보다 풍부하고 정확한 정보를 제공하기 위한 구조화 된 데이터를 이용한 웹 온톨로지 확장(Population) 모델을 제안한다. 시맨틱 웹이 등장하면서 웹 온톨로지의 구축이 필수 요소가 되었으며, 더욱 정확하고 보다 풍부한 정보를 제공하기 위한 웹 온톨로지 생성 모텔에 관한 연구의 필요성이 증가하였다. 이러한 요구 사항을 충족시키기 위해서는 첫 번째로, 일관성 있고 보편적인 개념을 이용한 웹 온톨로지 스키마 생성과 이를 기반으로 한 온톨로지 간 상호운용성 향상이 요구된다. 두 번째로, 보다 풍부한 정보 제공을 위해 정의된 온톨로지를 확장할 수 있는 방법 개발이 요구된다. 이 논문에서는 메타데이터 레지스트리 (MDR, Metadata Registry)를 이용하여 생성된 구조화 된 데이터 기반의 온톨로지 학습 및 확장 모델을 제안한다. 된 데이터에 대한 개념과 이를 기반으로 한 학습 및 확장의 특징 등에 대하여 기술하고 제안 모델을 위한 시스템 구조에 대하여 기술한다.

• The Korean Journal of Applied Statistics
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• v.18 no.3
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• pp.713-727
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• 2005

The advantage of an internet survey is the speed with which data can be accumulated from respondents. And this method is more economical, provides more accurate information, and has greater scope in subject coverage. Since there is used multi-media, the design of questionnaires is even more important in order to achieve high data quality.

• Journal of the Korean Data and Information Science Society
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• v.16 no.1
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• pp.51-58
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• 2005

The purpose of the Delphi technique is to elicit information and judgments from participants to facilitate problem-solving, planning, and decision-making. It does so without physically assembling the contributors. Instead of it, information is exchanged via mail, FAX, or email. This technique is designed to take advantage of participants' creativity as well as the facilitating effects of group involvement and interaction. It is structured to capitalize on the merits of group problem-solving and minimize the liabilities of group problem-solving. In this paper, we design and implement delphi system using instant messenger.

• Radiation Oncology Journal
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• v.19 no.4
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• pp.369-380
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• 2001

Purpose : By developing on-line statistics program to record the information of radiation oncology to share the information with internet. It is possible to supply basic reference data for administrative plans to improve radiation oncology. Materials and methods : The information of radiation oncology statistics had been collected by paper forms about 52 hospitals in the past. Now, we can input the data by internet web browsers. The statistics program used windows NT 4.0 operation system, Internal Information Server 4.0 (IIS4.0) as a web server and the Microsoft Access MDB. We used Structured Query Language (SQL), Visual Basic, VBScript and JAVAScript to display the statistics according to years and hospitals. Results : This program shows present conditions about man power, research, therapy machines, technics, brachytherapy, clinic statistics, radiation safety management, institution, quality assurance and radioisotopes in radiation oncology department. The database consists of 38 inputs and 6 outputs windows. Statistical output windows can be increased continuously according to user's need. Conclusion : We have developed statistics program to process all of the data in department of radiation oncology for reference information. Users easily could input the data by internet web browsers and share the information.

• The Korean Journal of Applied Statistics
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• v.12 no.1
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• pp.81-81
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• 1999

A categorical data analysis system in the World Wide Web is proposed with an easy- to-use environment . This system is composed of four components. First, this system presents several graphical displays for Exploratory Data Analysis for categorical data. Second, it provides some measures of association Including dynamic graphics for mosaic plots of Hartigan and Kleiner (1981) and Friendly (1994). Dynamic graphics for mosaic plots give some useful informations. Third, this system can analyze categorical data with loglinear models. So we can select the best fitted loglinear model interactively.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1061-1075
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• 2016

In this paper, we discuss various methods to visualize high dimensional large-scale data and review some issues associated with visualizing this type of data. High-dimensional data can be presented in a 2-dimensional space with a few selected important variables. We can visualize more variables with various aesthetic attributes in graphics or use the projection pursuit method to find an interesting low-dimensional view. For large-scale data, we discuss jittering and alpha blending methods that solve any problem with overlapping points. We also review the R package tabplot, scagnostics, and other R packages for interactive web application with visualization.

• The Korean Journal of Applied Statistics
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• v.29 no.5
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• pp.787-806
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• 2016

Mixed-mode (MM) designs in which data are collected by different modes in one design have become increasingly popular. An MM data collection has several advantages such as reductions of coverage error, non-response and cost. However, MM designs may introduce mode effects that are confounded by selection effects and measurement effects, which can make MM data quality poor. In order to investigate mode effects, SRI implemented a concurrent mixed-mode experiment in 2014 where respondents could choose between a self-administrated Web survey and a self-administrated paper survey. This paper separately estimates selection effects and measurement effects. We found that measurement effects on some items are large.