• Journal of Digital Convergence
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• v.14 no.2
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• pp.197-208
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• 2016

In this paper, data mining regression analysis and decision tree analysis techniques were used to analyze factors affecting the life satisfaction of middle school students. For this purpose, we analyzed Korean Children and Youth Panel Survey(KCYPS) data. As results, the common influencing factors to the life satisfaction were derived from regression analysis. Those factors are self-esteem, depression, total grade satisfaction, regional community awareness, career identity, annual delinquency damage experience, siblings' factors, trust, behavioral control, and concentration. Based on the result described by decision tree analysis, the factors that indicate a significant impact on the life satisfaction of middle school students were self-esteem, depression, career identity and attention factor.

• Journal of Distribution Science
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• v.22 no.9
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• pp.129-139
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• 2024

Purpose: This research aims to examine the impact of social media marketing on buy decisions in Indonesia's B2B market, considering the mediating roles of brand image, perceived quality, and perceived value in relation to interactive flat panel display technology. To better understand technology adoption and distribution, we utilize the innovation diffusion theory. Research Design, Data and Methodology: The Decision-Making Unit of each organization that buy interactive flat panel display technology conducted an empirical survey of 82 participants. The quantitative research design analyzed the data utilizing the PLS-SEM model. outcome: This research reveals that social media marketing significantly impacted perceived quality, brand image, perceived value, and buy decisions. The research also found that perceived quality does not significantly impact buy decisions, but perceived value and brand image significantly impacted buy decisions. This research contributes to understanding the key factorsinfluencing buy decisionsin Indonesia's B2B market. Conclusion: Thisresearch concludesthat B2B consumers in Indonesia are less concerned about product quality but prioritize the value they receive when purchasing interactive display technology. Social media marketing could impacted the distribution of interactive display technology in Indonesia's B2B market by affecting the DMU's purchasing decisions. Brands should leverage social media marketing to positively impact theirsuccess.

• Journal of Engineering Education Research
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• v.12 no.3
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• pp.73-78
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• 2009

The purpose of the study was to analyze the career decision level and career preparation behavior of 2-3 and 4 year college students majoring in science and engineering. We used the raw data of KEEP(Korean Education & Employment Panel) survey. In the results, we found that the career decision level of the subjects had no relationship with gender, high school type, university level, and study fields. On the other hand, in terms of the career preparation behavior, male students had more concrete perception regarding future jobs and tasks in labor market than female counterparts. In addition, 4 year college students were more positive and directed to pursue the career search planning and activities than 2 or 3 year college students. Finally, the students who had high career decision level could identify future job-related tasks, direction, rewards, and skill matches. We suggested that early career education and counselling should be provided for freshman or sophomore level students majoring in science and engineering at colleges and universities.

• The Korean Journal of Applied Statistics
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• v.22 no.5
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• pp.981-993
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• 2009

It would cause a serious problem in the panel data when panel attrition is concentrated on certain socioeconomic groups. Using the GOMS, this study investigates whether there exists non-random attrition bias in the data and seeks for feasible solutions to minimize the bias. The results of logit analyses show that panel attrition in the GOMS results mainly from surveying system but not from the surveyed. Therefore, the result suggests to develop well-organized management skill and systems as well as to construct weighting methods.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.297-309
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• 2020

This study focuses on the application of the data mining technique logistic regression analysis and decision tree analysis to the domestic public database called Korean Children Youth Panel Survey (KCYPS) to derive a series of important factors affecting the enhancement of life satisfaction of domestic youth. As a result, the general impact factors on life satisfaction for each grade were derived from logistic regression. Using decision tree analysis, we came to conclusions that those factors such as depression, overall grade satisfaction, household economic level, and school adaptation play crucial roles in affecting high school adolesscents' life satisfaction.

• Journal of Arbitration Studies
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• v.13 no.2
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• pp.519-546
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• 2004

On June 27, 2002 Canadian Internet Registration Authority (CIRA) launched dot-ca domain name dispute resolution service through BCICAC and Resolution Canada, Inc. The Domain name Dispute Resolution Policy (CDRP) of CIRA is basically modelled after Uniform Domain Name Dispute Resolution Policy(UDRP), while the substance of CDRP is slightly modified to meet the need of Canadian domain name regime and its legal system. Firstly, this article examined CIRA's domain name dispute resolution policy in general. It is obvious that the domain name dispute resolution proceeding is non-binding arbitration to which arbitration law does not apply. However it still belongs to the arbitration and far from the usual mediation process. Domain name arbitrators render decision rather than assist disputing parties themselves reach to agreement. In this respect the domain name arbitration is similar to arbitration or litigation rather than mediation. Secondly it explored how the panels applied the substantive standards in domain name arbitration. There is some criticism that panelists interprets the test of "confusingly similar" in conflicting manner. As a result critics assert that courts' judicial review is necessary to reduce the conflicting interpretation on the test of substantive standards stipulated in paragraph 3 of CDRP. Finally, it analysed the court's position on domain name arbitral award. Canadian courts do not seem to establish a explicit standard for judicial review over it yet. However, in Black v. Molson case Ontario Superior Court applied the UDRP rules in examining the WIPO panel's decision, while US courts often apply domestic patent law and ACPA(Anticyber -squatting Consumer's Protection Act) to review domain name arbitration decision rather than UDRP rules. In conclusion this article suggests that courts should restrict their judicial review on domain name administrative panel's decision at best. This will lead to facilitating the use of ADR in domain name dispute resolution and reducing the burden of courts' dockets.

• The Korean Journal of Applied Statistics
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• v.24 no.1
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• pp.25-34
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• 2011

The transition probability can be used for the estimation of subpopulation total in panel data analysis. In this paper a real data analysis is performed and the sensitivity of the sample size allocated in the subpopulation is examined by small simulation studies.

• Journal of Practical Engineering Education
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• v.13 no.2
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• pp.393-403
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• 2021

The purpose of this study is to propose a method of designing a systematic panel survey at the institutional level to lay the foundation for data-based decision-making using vocational training teachers and instructors as the population. In this study, the target population and sampling frame, which are the main elements necessary for planning a panel survey, are proposed. Also based on expert advice and empirical data analysis, the sampling unit and sampling method taking into account the outer and inner variables are presented, comprehensively considering the representativeness of data, the efficiency and sustainability of data collection. As a result of the study, with the unit of the panel as a vocational training institution, a two-stage stratified proportional sampling plan is proposed so that the institution selected as the panel and the vocational training teachers and instructors belonging to the institution can participate in the survey. Based on this, implications for the panel survey sample design are presented.

• The Journal of Information Systems
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• v.28 no.3
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• pp.249-276
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• 2019

Purpose The purpose of this study is to develop a prediction model and decision rules for the elderly's suicidal ideation based on the Korean Welfare Panel survey data. By utilizing this data, we obtained many decision rules to predict the elderly's suicide ideation. Design/methodology/approach This study used classification analysis to derive decision rules to predict on the basis of decision tree technique. Weka 3.8 is used as the data mining tool in this study. The decision tree algorithm uses J48, also known as C4.5. In addition, 66.6% of the total data was divided into learning data and verification data. We considered all possible variables based on previous studies in predicting suicidal ideation of the elderly. Finally, 99 variables including the target variable were used. Classification analysis was performed by introducing sampling technique through backward elimination and data balancing. Findings As a result, there were significant differences between the data sets. The selected data sets have different, various decision tree and several rules. Based on the decision tree method, we derived the rules for suicide prevention. The decision tree derives not only the rules for the suicidal ideation of the depressed group, but also the rules for the suicidal ideation of the non-depressed group. In addition, in developing the predictive model, the problem of over-fitting due to the data imbalance phenomenon was directly identified through the application of data balancing. We could conclude that it is necessary to balance the data on the target variables in order to perform the correct classification analysis without over-fitting. In addition, although data balancing is applied, it is shown that performance is not inferior in prediction rate when compared with a biased prediction model.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.5
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• pp.1236-1251
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• 2015

This study examined understanding and attitude of sustainable development(SD) of 38 college students in a nuclear power plant construction after education for sustainable development(ESD) through panel discussion. The results were as follows: First, after lesson 66% of students were expected that SD is possible if scientific technology is developed and a frugal life for the protection of environment is carried out. However, the remaining students regarded SD as an ideal concept, because they thought it is not possible to pursue environmental sustainability and socio-economic development simultaneously. Second, students' opinions in the evaluation of constructing a nuclear power plant in three aspects(environment, society and economy) before and after panel discussion were changed as follows; 1) After panel discussion, the objectors increased to 21% in economic evaluation, while the supporters increased to 11% in environmental evaluation. 2) Students majoring in engineering or natural sciences changed their opinions to agree in environmental evaluation because they considered a nuclear power plant safe and eco-energy. However students majoring in social science/business or liberal arts/arts changed their opinions to disagree in economic evaluation because they considered a nuclear power plant as high-cost energy when assessing danger-accidents cost, public consensus cost, operation and maintenance cost, and waste disposal cost. 3) This change of decision-making in students majoring in social science/business or liberal arts/arts after panel discussion was statistically significant(p<0.05). Implications of panel discussion as a teaching and learning method in ESD are also discussed.