• Journal of Digital Convergence
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• v.13 no.8
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• pp.535-542
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• 2015

As the nail industry has grown, concerns on damages to natural nails due to nail services and interests on nail products have been increased. This study is on nail convergent strengtheners which reduce damages on natural nails, and especially focused on the use and awareness of nail strengtheners by nail technicians. First, documentary research on previous studies was conducted to define nail services, nail damages, and nail strengtheners. Preliminary survey and main survey was conducted by KSDC on-line survey tool and the result was analyzed by frequency analysis, cross analysis, and correlation analysis by KSDC advanced statistical program. As a result, nail technicians have the high level of awareness on characteristics, effects, how to use, and application process of nail strengtheners. Nail technicians are the mid level of awareness on the ingredients of nail strengtheners.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.70-77
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• 2015

With the purpose of studying the effects of K-wave event sponsorship on corporate image, surveys were conducted against visitors at K-wave marketing events in Tokyo and Nagoya which yielded 199 viable samples. These samples were subjected to descriptive and multivariate statistics analysis. Average and standard deviation were calculated and measured for total correlation coefficient to find out characterize of study variables. A Cronbach's alpha coefficient exceeding 0.7 indicated a good to excellent credibility of the measuring instrument. In addition, exploratory factor analysis was employed to establish validity of the measuring instrument. In order to determine the characteristics of K-wave events and the cause and relation of the subsequent effects on corporate image that stems from the aforementioned characteristics, 4 sub hypotheses were derived from 1 major hypothesis, of which 3 were determined to have a substantial and meaningful influence on the final outcome while 1 was rejected. However, due to lack of advance research, additional and continuous studies are warranted to establish a systemized theory in this field and further on, to observe such theories bear fruit in real world applications in the industry.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2012.03a
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• pp.72-72
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• 2012

본 연구에서는 친환경 리싸이클 섬유산업의 활성화를 위해 대학생들의 리싸이클 폴리에스터 섬유에 대한 인식도를 분석해 보고자 하였다. 측정 문항은 섬유전문가 3인의 검토를 거쳐 타당성을 확보하였으며, 조사는 질문지법으로 2011년 9월 1일부터 9월 10일까지 대전 거주 대학생을 대상으로 진행하였으며, 회수된 설문지 196부를 자료 분석에 이용하였고, SPSS 19 통계 패키지를 이용하여 자료를 통계분석하였다. 연구 결과는 다음과 같다. 1. 친환경적 의생활 실태 조사를 실시한 결과, 리싸이클 PET섬유에 대해 들어본 적이 있는 사람은 조사대상자의 27.6%로 나타났고, 그 정보원으로는 인터넷을 가장 많이 이용하는 것으로 나타났다. 2. 섬유소재별 친환경성에 대한 인식도를 조사한 결과, 대학생들은 리싸이클 PET섬유가 천연섬유보다 덜 친환경적이나, 인조섬유보다는 더 친환경적이라고 인식하는 것으로 나타났다. 3. 리싸이클 PET섬유에 대한 인식도를 요인분석한 결과, <친환경성 요인>, <촉감 요인>, <내구성 요인>, <기능성 요인>, <공정 요인>, <글로벌 경쟁력 요인>및 <부가가치성 요인> 등 7개의 요인이 도출되었는데 이는 대학생들은 리싸이클 PET섬유에 대해 친환경성, 촉감, 내구성, 기능성, 공정, 글로벌경쟁력, 부가가치성순으로 중요하게 인식하는 것으로 해석된다.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.392-397
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• 2010

The purpose of this study was to examine the effects of self management and mental power on athletic performance. To attain the goal of the study some athletics of D city physical education middle school, high school, University in D city. Then, using the physical education middle and high school were complete collection, and University were random sampling method, finally drew out and analyzed 353 athletics in total. Data collected through a questionnaire designed for this study consist of fixed alternative choice response to items constructed to represent the operational definition for each variable. Statistics employed for data analysis was correlation and regression. Based upon the results of the study, the following conclusions appear warranted: 1. Self management influence on athletic performance. 2. Mental power influence on athletic performance.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.415-419
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• 2009

The purpose of this study was to examine the effects of self management on mental power of athletics. To attain the goal of the study some athletics of D city physical education middle school, high school, collegiate in D city. Then, using the physical education middle and high school were complete collection, and University were random sampling method, finally drew out and analyzed 353 athletics in total. Data collected through a questionnaire designed for this study consist of fixed alternative choice response to items constructed to represent the operational definition for each variable. Statistics employed for data analysis was correlation and regression. Based upon the results of the study, the following conclusions appear warranted: 1. Self management influence on self effectiveness of athletics. 2. Self management influence on worry of athletics. 3. Self management influence on desire of challenge of athletics.

• Journal of the Korean Data and Information Science Society
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• v.25 no.4
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• pp.829-846
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• 2014

Using complex sample design, this article analyzes the difference between sex and age groups of mental health, physical activity, suffering lifestyle diseases, drinking, and smoking using the fifth Korea national health and nutrition examination survey data (2011-2012), and then analyzes the effect of mental health, physical activity, suffering lifestyle diseases, drinking, and smoking on EQ-5D, a measure of health-related quality of life. The results show that mental health, physical activity, suffering lifestyle diseases, drinking and smoking are statistically different among gender and age groups, and that age group, education level, suffering diabetes, recognizing stress, thinking suicide are statistically influential on EQ-5D.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.353-371
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• 2010

Library anxiety has been recognized as one of the representative fields that concerns user's affectivity in library and information study. Considerable library users have been discovered to experience library anxiety according to researches. Although digital libraries are becoming more popular changing drastically from traditional libraries, few studies have addressed the measurement of digital library anxiety(DLA). The purpose of this study is to develop and validate a multidimensional digital library anxiety scale(DLAS) based on previous research in library anxiety and digital libraries. It will become possible to define the construct of DLAS, provide its underlying dimensionalities, and find out how much they explain the construct. Through the exploratory factor analysis, DLAS has been developed with 39 items representing seven distinct factors which were interpreted as affect, resources, know-how, security, language, technology, and task explaining 51.165% of DLA. Also, DLAS' characteristics about demographic variables and use pattern were found through the T-test and ANOVA analysis for each factor.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.222-229
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• 2017

The purpose of this study was to examine the relationships among high school physical education class satisfaction, school life stress, and school violence tendency. A total of 550 questionnaires were gathered from 4 high schools in D city and 83 were discarded because of missing values. By analyzing the total of 467 questionnaires with the SPSS 20.0 and AMOS 20.0 statistics programs, this study reached the following conclusions. First, high school physical education class satisfaction had a significant influence on school life stress. Second, school life stress had a significant influence on school violence tendency. Third, high school physical education satisfaction had a significant influence on school violence tendency mediated by school life stress.

• The Korean Journal of Applied Statistics
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• v.32 no.6
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• pp.889-898
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• 2019

The problem of missing value imputation for variables in surveys that include item missing becomes complicated if outliers and logical boundary conditions between other survey items cannot be ignored. If there are outliers and boundaries in a variable including missing values, imputed values based on previous regression-based imputation methods are likely to be biased and not meet boundary conditions. In this paper, we approach these difficulties in imputation by combining various robust regression models and multiple imputation methods. Through a simulation study on various scenarios of outliers and boundaries, we find and discuss the optimal combination of robust regression and multiple imputation method.

• The Korean Journal of Applied Statistics
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• v.32 no.6
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• pp.837-849
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• 2019

Latent class models (LCM) are useful tools to draw hidden information from categorical data. This model can also be interpreted as a mixture model with multinomial component distributions. In some cases, however, an available dataset may contain both categorical and count or continuous data. For such cases, we can extend the LCM to a mixture model with both multinomial and other component distributions such as normal and Poisson distributions. In this paper, we consider a LCM for the data containing categorical and count data to analyze the Drug Review dataset which contains categorical responses and text review. From this data analysis, we show that we can obtain more specific hidden inforamtion than those from the LCM only with categorical responses.