• Title/Summary/Keyword: web statistics

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Test-Retest Reliability of a Questionnaire for the Korea Youth Risk Behavior Web-Based Survey

  • Bae, Ji-Suk;Joung, Hyo-Jee;Kim, Jong-Yeon;Kwon, Kyoung-Nam;Kim, Young-Taek;Park, Soon-Woo
    • Journal of Preventive Medicine and Public Health
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    • v.43 no.5
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    • pp.403-410
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    • 2010
  • Objectives: A web-based survey has been administered annually since 2005 throughout Korea to assess the prevalence of adolescent health risk behaviors among middle and high school students. The aim of this study was to evaluate the test-retest reliability of the Korea Youth Risk Behavior Web-based Survey (KYRBWS) questionnaire. Methods: A convenience sample of 2298 middle and high school students participated in self-administered questionnaire surveys twice, approximately two weeks apart, in 2008. The percent agreement, kappa statistics, and prevalence rates at the first and second surveys were computed for the core subset of 39 self-reported health risk behavior indices of the KYRBWS. Results: Among 39 indices, seven indices had kappas $\geq$ 0.81 and all of the indices had kappas $\geq$ 0.41. Based on nonoverlapping 95% confidence intervals, three indices had significantly different prevalence rates between the first and second surveys. In the subgroup analyses by school grade and gender, two indices had significantly different reliability estimates between middle and high school students. There were no significantly different reliability estimates between male and female students, except for one index. Conclusions: This study demonstrated that the reliability estimates for the KYRBWS questionnaire are varied, but generally reliable over time. The indices with low reliability estimates need to be evaluated further in order to determine whether the indices should be modified or deleted from future versions of the KYRBWS.

A Design and Implementation of National R&D Reference Information Ontology Based on URI Server (URI 서버에 기반한 국가 R&D 기반정보 온톨로지 설계 및 구현)

  • Jung, Han-Min;Kang, In-Su;Koo, Hee-Kwan;Lee, Seung-Woo;Sung, Won-Kyung
    • Journal of Information Management
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    • v.37 no.2
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    • pp.109-136
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    • 2006
  • The development of Semantic Web basically requires knowledge which is induced by the formalization and semantization of information, and thus ontology should be introduced as a knowledgization tool. URI(Uniform Resource Identifier) is an indispensible scheme to uniquely indicate individuals on ontology. However, it is difficult to find the use cases of identifiers or URIs in real data sets including science & technology publications. This paper describes the method to construct, manage, and serve reference information based on URI which is a crucial component on establishing national R&D reference information ontology. We expect the reference information which was acquired from about 7,000 proceeding papers would be adopted to Semantic Web applications such as researcher network analysis and outcome statistics.

Semantic analysis via application of deep learning using Naver movie review data (네이버 영화 리뷰 데이터를 이용한 의미 분석(semantic analysis))

  • Kim, Sojin;Song, Jongwoo
    • The Korean Journal of Applied Statistics
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    • v.35 no.1
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    • pp.19-33
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    • 2022
  • With the explosive growth of social media, its abundant text-based data generated by web users has become an important source for data analysis. For example, we often witness online movie reviews from the 'Naver Movie' affecting the general public to decide whether they should watch the movie or not. This study has conducted analysis on the Naver Movie's text-based review data to predict the actual ratings. After examining the distribution of movie ratings, we performed semantics analysis using Korean Natural Language Processing. This research sought to find the best review rating prediction model by comparing machine learning and deep learning models. We also compared various regression and classification models in 2-class and multi-class cases. Lastly we explained the causes of review misclassification related to movie review data characteristics.

The Effects of Service Qualities on Customer Satisfaction, Trust, and Behavioral Intention in Smartphone Shopping Malls (스마트폰 쇼핑몰의 서비스품질이 고객만족, 신뢰, 행동의도에 미치는 영향)

  • Yang, Seung-Kwon;Shim, Jae-Hyun
    • The Journal of Industrial Distribution & Business
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    • v.9 no.12
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    • pp.31-43
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    • 2018
  • Purpose - Smartphone shopping malls provide customers with a variety of tangible and intangible services including web sites, web design, use convenience, information for products and shopping and various after services. Accordingly, it is needed to expand and classify service qualities based on the various services provided by smartphone shopping malls, and then analyze path structures of smartphone shopping malls' qualities → customer satisfaction → behavioral intention. The purpose of this study is to categorize the qualities of smartphone shopping mall users based on the e-SERVQUAL by Lee(2002) and the SERVQUAL by Parasuraman et al.(1988, 2005), the smartphone shopping malls' service qualities based on service quality of smartphone shopping malls used in the previous use studies, and the Website quality factors of service industry and to analyze path structure of smartphone shopping mall's qualities → customer satisfaction → behavioral intention on college students in order to confirm the system of smartphone shopping malls' qualities. Research design, data, and methodology - This study's survey was carried out on the college students of university located in northeastern of Seoul. It was from December 7 - 15, 2017, and a total of 240 questionnaires were distributed, with 228 collected. Of them, effective questionnaires used in the final study were a total of 201 except 27 that couldn't be used. In this study, empirical analysis was done with factor analysis, correlation analysis, multiple regression analysis, simple multiple regression analysis and moderating regression analysis by using Statistics Package SPSS18.0. Results - The study results are as follows: First, smartphone shopping malls' qualities were classified into six categories like customer system quality, Web design quality, convenience quality, information-offering quality, service quality, and product quality. Second, it showed that system quality, Web design quality, and information-offering quality had a positive impact on customer satisfaction, respectively. Third, it suggested that quality factors of smartphone shopping mall users had a positive impact on customer satisfaction in the order of quality, information-offering quality, system quality and Web design quality. Finally, it showed that customer service quality, product quality, and convenience quality did not have a positive impact on customer satisfaction. In addition, it said that customer satisfaction of smartphone shopping mall users had a positive impact on behavioral intention and thereby, the higher the customer satisfaction was, the higher the relations between reuse intention and recommendation intention were. Meanwhile, moderating regression analysis showed that trust did not have moderating effect in the relations between customer satisfaction and behavioral intention. The above study revealed that smartphone shopping malls' qualities were classified into six categories and it was possible to generalize after empirical analysis was made in the path structure. Conclusions - Smartphone shopping mall users consider usefulness of obtaining shopping information and quality on quick and abundant shopping information more important than access environment of smartphone shopping malls and kind services of smartphone shopping mall managers. Thereby, smartphone shopping mall marketers need to take service qualities like system quality and information-offering quality into more consideration.

Design of Retrieval API to Analyze Web based Simulation Execution Data (웹기반 시뮬레이션 수행 데이터 검색 API 설계)

  • Jung, Young Jin;Seo, Jerry Hyeon;Yu, Jung-Lok;Jin, Du-Seok;Lee, Jun-Hyung;Lee, JongSuk Ruth;Cho, Kumwon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.708-710
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    • 2013
  • Web based simulation service is utilized to computationally analyze various phenomena in real world according to the progress of network and computing technology. To provide suitable simulation service, web based simulation service will be improved by analyzing execution data. Especially, an API for data retrieval is designed, because every analyst needs different data. In this paper, we design the retrieval API for a user to analyze the web based simulation execution data, which is used on CFD (Cumputational Fluid Dynamics) and Chemistry. The designed retrieval API provides an simulation execution data depending on an user requirement such as a user type, an execution period, and an affiliation, which is based on the core information such as an user, a simulation program, and a cyberlab. Besides, a developer can provides a suitable information for a user to execute a simulation well such as a simulation statistics, an execution trend, and a frequent error.

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Application of Web Query Information for Forecasting Korean Unemployment Rate (실업률 예측을 위한 인터넷 검색 정보의 활용)

  • Kwon, Chi-Myung;Hwang, Sung-Won;Jung, Jae-Un
    • Journal of the Korea Society for Simulation
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    • v.24 no.2
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    • pp.31-39
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    • 2015
  • Unemployment is related to social issues as well as personal economics activity so various policies have been made to reduce the unemployment rate in many countries. Because of delay inherent in the survey mechanism to collect unemployment data, it takes lots of time to acquire survey unemployment data. To develop proper policies for reducing unemployment rate at the right time, it is quite critical to obtain faster and more accurate information concerning about unemployment level. To remedy this problem, recently an advanced analytics utilizing internet queries is suggested. To examine the potential of Web query information, this research investigates the usefulness of internet activity data to predict Korean unemployment rate. One of selected web-query data(unemployment claim) has a quite strong correlation with unemployment rate. This research employes a time series approach of the ARIMA model that utilizes the information of keyword queries provided by the Naver(Korean representative portal site) trend together with unemployment rate data provisioned from Statistics Korea. With respect to model selection guidelines of mean squared error and prediction error, the model with utilizing the web query information shows better results than the model without such information. This suggests that there is a strong potential for the used method, which needs to be further explored.

Factors Affecting Contraceptive Use among Adolescent Girls in South Korea (성경험 여자 청소년의 피임실천에 영향을 미치는 요인)

  • Lee, Jaeyoung
    • Child Health Nursing Research
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    • v.23 no.3
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    • pp.259-267
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    • 2017
  • Purpose: This study was done to identify contraceptive practices in adolescent girls in South Korea and predictors of contraceptive practices. Methods: The study sample included 743 girls who had experienced sexual activity. Using statistics from the 12th (2016) Korea Youth Risk Behavior Web-based Survey, hierarchical logistic regression analysis was conducted. Results: The contraceptive practice rate for adolescent girls was 34%. Contraceptive practice was associated with 'age at first intercourse' and 'sexual intercourse after drinking'. For adolescent girls who had early sexual initiation and drank alcohol before sexual intercourse there was a tendency to reduce the practice of contraception. Conclusion: It is necessary to provide practical sex education to improve the practice of contraception in these adolescents. In addition, adolescent girls should be encourage to delay their first intercourse. The results of this study can also be used to develop education interventions regarding healthy sexuality behaviour including the practice of contraception.

A Study on Information Graphics in the Middle School Social Studies Textbooks

  • Lee, Sang-Bock
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.3
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    • pp.603-608
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    • 2005
  • The purpose of this qualitative case study is to understand how the idea of data view and information graphics is used in the social studios middle school textbooks. Data were collected through national curriculum documents and social studies middle textbooks for 7-9 grades. We set up three questions for this studies; what kinds of information graphics are used in the textbooks, how the graphics are organized in the social studies middle school, and how the 7th social studies curriculum is related with the 7th national mathematics curriculum. Through the data analysis, we found that 1) Photographs, illustrations, information maps, etc., are used and frequencies of their usages are in descending order, 2) double lines graphs, circle graphs, and stripe graphs nip often adopted for the comparison of populations, 3) the relation of the two subjects curricula is not so good, especially in the curriculum steps of information mads scatter diagrams, and comparison of populations. Finally we suggest that new web site of data view or information graphics be provided for two curricula, workshop of information graphics are needed for social studies teachers.

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Factors Affecting Energy Drinks Consumption among Adolescents (청소년의 에너지드링크 섭취 및 관련 요인)

  • Yun, Haesun
    • Journal of the Korean Society of School Health
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    • v.29 no.3
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    • pp.218-225
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    • 2016
  • Purpose: The purpose of this study was to investigate the factors affecting energy drinks consumption among adolescents in South Korea. Methods: The study is a secondary analysis. Using statistics from the 11th (2015) Korea Youth Risk Behavior Web-based Survey, any variations among the subjects were presented as percentages and analyzed by $x^2$ test and logistic regression analysis. The study sample comprised 68,043 middle and high school students in South Korea. Results: In Model 1 including general characteristics, the significant factors of energy drinks consumption were gender, weekly allowance, cohabitation with family. and economic status. In the final model where health-related characteristics were added, the significant factors were gender, school type, weekly allowance, cohabitation with family, stress level, sadness, drinking, smoking and walking days. Conclusion: The result suggests that intensified education on energy drinks consumption is needed not only at schools, but in the whole community. Also, adolescents' awareness of potential health effects of energy drinks, in particular when mixed in alcoholic beverages, should be increased through health education.

A Survey for Testing Model Development of the Game Software (게임 소프트웨어의 평가 모델 개발을 위한 설문조사)

  • Jung, Hye-Jung;Jung, Won-Tae;Cho, Yu-Deok;Jung, Yung-Eun;Shin, Seok-Kyoo
    • Annual Conference of KIPS
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    • 2005.05a
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    • pp.267-270
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    • 2005
  • 국내에서는 게임용 소프트웨어의 개발을 통한 부가가치의 창출 효과가 높아지면서 많은 IT 업체에서 제품 개발과 동시에 제품에 대한 평가에 관심을 가지게 되었다. 본 연구는 게임 소프트웨어의 품질 평가를 위해서 게임 소프트웨어의 결함을 발견하기 위한 버그 체크리스트를 구성하였다. 이러한 버그 체크리스트 구성을 위해서 게임 소프트웨어 사용자를 중심으로 설문조사를 실시하였으며 이러한 조사결과를 게임 소프트웨어의 품질 평가 메트릭을 개발하는데 적용하여 ISO/IEC 9126 평가 메트릭을 제시하였다.

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