• Journal of Digital Convergence
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• v.12 no.1
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• pp.579-592
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• 2014

The present paper attempts to account for temptation of quit excercise of dance sports participant. purpose of this study is to find out the relationship among the Partner Violence experiences of dance sports participant, their temptation of quit excercise, their embarrassment and desire of accomplishment. The results of this study are as follows; First, there are differences in temptation of quit exercise according to personal characteristics. Second, after the analysis of the original structural model proposed in order to explain temptation of quit exercise of dan sports participants, it was found out that the modified model eliminating inappropriate factors, such as results which is a measurement variable of temptation of quit exercise. Third, in the following order, these factors had more relative influences on temptation of quit exercise of dance sports participants. Based on the above explanation, it was found out that partner violence experiences, embarrassment, and desire of accomplishment had direct causality with the temptation of quit exercise. Therefore, it is necessary to prevent and react appropriately to the possible violence of partner in order to lower the temptation of quit exercise of dance sports participants. Also, it is required for coaches and administers to make active and consistent efforts ro improve positive desire of accomplishment.

• Journal of Korea Water Resources Association
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• v.48 no.12
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• pp.981-993
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• 2015

The analysis of hydrologic time series data is crucial for the effective management of water resources. Therefore, it has been widely used for the long-term forecasting of hydrologic variables. In tradition, time series analysis has been used to predict a time series without considering exogenous variables. However, many studies using decomposition have been widely carried out with the assumption that one data series could be mixed with several frequent factors. In this study, the empirical mode decomposition method was performed for decomposing a hydrologic time series data into several components, and each component was applied to the time series models, autoregressive moving average (ARMA). After constructing the time series models, the forecasting values are added to compare the results with traditional time series model. Finally, the forecasted estimates from ARMA model with empirical mode decomposition method showed better performance than sole traditional ARMA model indicated from comparing the root mean square errors of the two methods.

• Journal of The Korean Association For Science Education
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• v.37 no.3
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• pp.507-521
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• 2017

The purpose of this study is to investigate a meaningful path model among the components of students' positive experiences about science and science learning to understand the interactive relationships among different variables of affective domains. Positive Experiences about Science (PES) means whole experiences that have positive effects on students' affectional achievement related with science learning, which consists of science academic emotion, science-related self-concept, science learning motivation, science-related attitude, and science-related career aspiration. We conducted an online survey with 1,841 students consisting of 4th, 6th, 8th, and 10th graders from 17 provinces and cities using Test for Indicators of Positive Experiences about Science (TIPES). To explore the structural relationships among variables, we selected and analyzed an optimal structural equation model and then conducted multigroup analyses among groups. According to the analysis of the structural equation model, 'positive as well as negative science academic emotion' has effects on science learning motivation, science-related attitude, and science-related career aspiration via science-related self-concept. According to the independent t-test results for TIPES scores by participants' characteristics, there were statistically significant differences in the average scores of five sub-components of PES depending on gender, school-level, school location, and participation in science-related activities. According to the multi-group analysis results, the difference of path coefficients by gender and school-level were statistically significant, whereas the difference of path coefficients by school location and participation were not significant. Discussed in the conclusion are the implications of this research for science education research and ways to help students' affectional achievement related with science learning.

• Journal of the Korean Data and Information Science Society
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• v.27 no.3
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• pp.689-700
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• 2016

We study estimation and inference of the joint conditional distributions of bivariate longitudinal outcomes using regression models and copulas. For the estimation of marginal models we consider a class of time-varying transformation models and combine the two marginal models using nonparametric empirical copulas. Regression parameters in the transformation model can be obtained as the solution of estimating equations and our models and estimation method can be applied in many situations where the conditional mean-based models are not good enough. Nonparametric copulas combined with time-varying transformation models may allow quite flexible modeling for the joint conditional distributions for bivariate longitudinal data. We apply our method to an epidemiological study of repeatedly measured bivariate cholesterol data.

• Knowledge Management Research
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• v.21 no.4
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• pp.89-108
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• 2020

This study investigates key factors influencing customers' repurchase intention in the context of Airbnb. Positive and negative emotions formed after customer's first-hand experience are identified as vital antecedents in determining consumer's repurchase intention. This study posits authentic experience, amenities, and price fairness as the key characteristics of Airbnb. It clarifies the role of subjective norms and trend-seeking tendency in repurchase decisions. The proposed research model was analyzed for 306 customers with experience in using Airbnb via structural equation model. The analysis results showed that both positive and negative emotions have a significant effect on customer's repurchase intention. The results clarified the role of Airbnb's characteristic components on repurchase decisions. Finally, subjective norms and trend-seeking tendency had no significant impact on customer's repurchase intention. The results of this study are expected to help establish effective strategies for customer experience and marketing to achieve sustainable growth of Airbnb.

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.177-187
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• 2023

This study aims to validate a tool evaluating MOOCs for higher education from the perspective of education service. Based on the results of related researches, a potential model for evaluating MOOCs (4 factors and 8 sub-factors) was made. An evaluation tool consisting of 18 survey items was delivered to 138 college students. After data cleaning, 136 surveys were used for exploratory factor analysis (principal component analysis. varimax rotation) and reliability analysis that confirmed the fitness of the potential model. Four exploratory constructs and seven sub-factors were extracted: Factor I was labeled as 'Systemic Learning Experience,' Factor II, 'Value Experience,' Factor III, 'Co-creation of Value Experience,' and Factor IV, 'High Order Learning Experience.' Reliability estimates using Cronbach's alpha indicated that the evaluation tool had good internal consistency. In conclusion, the evaluation tool for MOOCs in higher education was proven to be valid and reliable.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.101-110
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• 2016

Depression is a mental symptoms that accompany psychological symptoms such as anxiety, gloom, a sense of failure, helplessness as well as a physical symptoms that shows in the adaption process of stress. Depression may result in cognitive, emotional, and behavioral disorders in accordance with individual experience. In particular, the depression when growing lowers the concentration on studies of children and adolescents and also increases the violence and interpersonal problems causes a serious loss to individuals and society. This study analyzed the longitudinal data using mixed models to investigate how depression affects girls who experienced violence in home or at school.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.6 no.3
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• pp.234-244
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• 1994

Longshore currents driven by monochromatic waves have been described using 2-equation $textsc{k}$-ι turbulence transport model. When using $textsc{k}$-ι closure both profiles of eddy viscosity and current velocity are found to be satisfactory. Several terms of ι equation are related to various variables concerned with turbulence mechanism. New form of turbulence frequency used in ι equation is suggested in the present approach, and non-dimensional parameters are evaluated by comparing the computational results with the laboratory measurements. Various values of a large range are applied to the non-dimensional parameters for the sensitivity test and in order to improve the predictability common values of constants are deduced, which produce similarly good computational results for the well-controlled laboratory measurements.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.523-527
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• 2012

댐의 비퇴사량 산정은 기능적 역할에 직접적인 영향을 주기 때문에 실측을 통해 정확하고 신뢰성 높은 자료 확보가 필요하다. 일반적으로 설계시 댐 비퇴사량은 상류 유역 내에서 관측한 유사량을 퇴사량으로 환산하는 방법을 적용하여야 하나, 현재 우리나라는 유사량 관측 자료가 충분치 않아 타 지역의 관측 자료를 사용하거나, 경험공식을 이용하여 비퇴사량을 추정하고 있다. 이러한 방법은 각 공식별 특성에 따라 산정결과 값에 많은 차이를 보이는 문제가 있다. 따라서 본 연구에서는 용담댐에 실측 비퇴사량을 기준으로 가장 적절히 모의하는 경험공식의 순위를 결정하였으며, 천천 지점의 유량-유사량 관계식을 적용한 하상변동을 모의하기 위해 2차원 모형인 SMS 모형을 적용하여 하상변동의 특성을 분석하였다. 그 결과 용담댐의 비퇴사량 $472m^3/km^2/yr$을 기준으로 류시창과 민병형(1975) 경험공식이 가장 적절히 추정하였다. 또한 하상변동의 특성은 종방향 단면의 퇴적 높이가 수위에 비례하고 횡방향의 형태는 유입부에 퇴적이 많은 것으로 분석되었으며, 100년 후 댐체로 부터 22.1 km지점에서는 최대 5.674 m 퇴적 되고 저수용량이 800.945 백만$m^3$으로 감소할 것으로 추정되었다.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.1
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• pp.85-103
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• 2007

Information literacy which is related various forms of literacy can be defined as a vital competency of individuals in digital based knowledge information society. This basic survey research is aimed to assess information literacy level of the undergraduate students. For this study a proper model of information literacy is used which based 5 Performance processes and 12 performance abilities. The result of this survey is as follows: 1) Among the S performance process elements.'result evaluation' element showed high level competency than other elements. 2) There were high correlations within performance Process elements and performance ability elements. 3) Those items such as academic grade, first experience of information retrieval, and experience of information literacy instruction affect the difference in the level of information literacy.