• The Korean Journal of Elementary Counseling
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• v.6 no.1
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• pp.171-191
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• 2007

The purpose of this study is to develop social skill training in order to reduce problematic behaviors and improve peer relations for elementary school students who have ADHD(Attention Deficit Hyperactivity Disorder) and then verify its effectiveness. The problems for this study are as follows: Firstly, is the social skill training for students with ADHD effective in enhancing their self-esteem? Secondly, is the social skill training for students with ADHD effective in reducing their carelessness, hyperactivity and impulsive character? Thirdly, is the social skill training for students with ADHD effective in improving peer relations? Subjects were six 5th grade children who were selected by the ADHD-SC4 at P elementary school in Pyeongtaek. The social skill training consisted of 10 sessions which included forming friendship, recognizing, making friends, solving problems, reeducation and evaluation. Qualitative data were collected through self-esteem inventory, peer-relation test, self-reported scales for children and Conners' Teacher rating score for ADHD children. The collected data were analysed with t-test. Qualitative data were collected though teacher's interview and observation an the children. The results of the study were follows: First, the social skill training did not give a significant effect in enhancing the self-esteem of the children with ADHD. Second, the social skill training had a positive effect in reducing in attentiveness, hyperactivity and impulsive behavior of the children with ADHD. Third, the social skill training did not give a significant effect in improving the peer relations of the children with ADHD. Fourth the qualitative data showed that the social skill training had positive effect in enhancing over all classroom behavior.

• Journal of Distribution Science
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• v.17 no.3
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• pp.85-95
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• 2019

Purpose - The existing marketing studies using Social Network Analysis have assumed that network structure variables are time-invariant. However, a node's network position can fluctuate considerably over time and the node's network structure can be changed dynamically. Hence, if such a dynamic structural network characteristics are not specified for virtual goods purchase model, estimated parameters can be biased. In this paper, by comparing a time-invariant network structure specification model(base model) and time-varying network specification model(proposed model), the authors intend to prove whether the proposed model is superior to the base model. In addition, the authors also intend to investigate whether coefficients of network structure variables are random over time. Research design, data, and methodology - The data of this study are obtained from a Korean social network provider. The authors construct a monthly panel data by calculating the raw data. To fit the panel data, the authors derive random effects panel tobit model and multi-level mixed effects model. Results - First, the proposed model is better than that of the base model in terms of performance. Second, except for constraint, multi-level mixed effects models with random coefficient of every network structure variable(in-degree, out-degree, in-closeness centrality, out-closeness centrality, clustering coefficient) perform better than not random coefficient specification model. Conclusion - The size and importance of virtual goods market has been dramatically increasing. Notwithstanding such a strategic importance of virtual goods, there is little research on social influential factors which impact the intention of virtual good purchase. Even studies which investigated social influence factors have assumed that social network structure variables are time-invariant. However, the authors show that network structure variables are time-variant and coefficients of network structure variables are random over time. Thus, virtual goods purchase model with dynamic network structure variables performs better than that with static network structure model. Hence, if marketing practitioners intend to use social influences to sell virtual goods in social media, they had better consider time-varying social influences of network members. In addition, this study can be also differentiated from other related researches using survey data in that this study deals with actual field data.

• Journal of Korea Multimedia Society
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• v.24 no.8
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• pp.1192-1201
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• 2021

This study focused on how to analyze the ICT policy formation process using social big data. Specifically, in this study, a method for quantifying variables that influenced policy formation using the concept of a policy triggering mechanism and elements necessary to present the analysis results were proposed. For the analysis of the ICT policy triggering mechanism, variables such as 'Scope', 'Duration', 'Interactivity', 'Diversity', 'Attention', 'Preference', 'Transmutability' were proposed. In addition, 'interpretation of results according to data level', 'presentation of differences between collection and analysis time points', and 'setting of garbage level' were suggested as elements necessary to present the analysis results.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.230-237
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• 2022

The Community Social Service Investment project started as a state subsidy project in 2007 and has grown very rapidly in quantitative terms in a short period of time. It is a bottom-up project that discovers the welfare needs of people and plans and provides services suitable for them. The purpose of this study is to analyze using big data to determine the social response to local community service investment projects. For this, data was collected and analyzed by crawling with a specific keyword of community service investment project on Google and Naver sites. As for the analysis contents, monthly search volume, related keywords, monthly search volume, search rate by age, and gender search rate were conducted. As a result, 10 items were found as related keywords in Google, and 3 items were found in Naver. The overall results of Google and Naver sites were slightly different, but they increased and decreased at almost the same time. Therefore, it can be seen that the community service investment project continues to attract users' interest.

• Journal of Korean Public Health Nursing
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• v.22 no.2
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• pp.211-223
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• 2008

Purpose: The principal objective of this study was to assess correlations among the self-efficacy, social support networks, and health behavior of undergraduate students. Methods: The data were collected via questionnaires that investigated self- efficacy, social support networks, health behaviors, health-related factors, and general characteristics. A total of 310 subjects were selected and evaluated for a 3-week period. The data of 300 subjects were analyzed using descriptive analysis, t-test, ANOVA, and correlation, after 10 questionnaires had been excluded due to incomplete data. Results: We noted significant differences and impacts on self-efficacy according to the grade, perceived health status, and BMI. Social support networks differed significantly according to dwelling type and pocket money. Health behavior differed depending on the gender, major, dwelling type, religion, health status, and BMI. We noted a significant positive correlation between self-efficacy & social support networks, and between social support networks & health behavior, but we noted no significant correlation between self-efficacy & health behavior. Conclusion: Health care providers should focus on self-efficacy and social support networks in order to prevent bad health behavior among undergraduates.

• Journal of Korean Academy of Nursing
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• v.30 no.3
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• pp.670-681
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• 2000

The purpose of this study was to identity the level of burden, social support and quality of life of the subjects. The subjects of this study were 68 mothers of nephrotic syndrome patients whose children were hospitalized in one pediatric ward of the University Hospital in Seoul. The data was collected using questionnaires, and the period of the data collection was from Nov. 15 to Dec. 31, 1999. The instruments used for this study were the Burden Measurement Instrument developed by Montgomery et. al(1985), social support measurement instrument designed Brandt an Weinert(1978) and Quality of life scale designed by Ro,Yoo JA(1988). The data analysis was done by SPSS, t-test, ANOVA and the Pearson correlation coefficient. The results of were as follows. 1. The level of burden showed a mean score of 54.47, the level of social support, a mean score of 86.00 and the level quality of life, a mean score of 140.20. 2. The level of burden differed according to mother's religion, patient's purpose for admission and perceived patient's condition by mothers. 3. The level of social support and the level of quality of life differed according to perceived patient's condition by mothers. 4. There was a negative correlation between burden and social support(r=-.348, p<.001). Also, burden was negatively related with quality of life(r=-3.97, p<.001). Social support was positively related with quality of life(r=.064, p<.001).

• Asia-Pacific Journal of Business
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• v.9 no.3
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• pp.51-69
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• 2018

This study intends to investigate the management efficiency of social enterprises according to types based on the portion of the budget for employing disadvantaged social groups, in the region of Gyeonggi-do. Based on the performance list disclosed at Korea Social Enterprise Promotion Agency's website, 126 social enterprises certified during a period of five years from 2013 to 2017, 126 enterprises were analyzed by using data envelopment analysis (DEA) models comparing five types of the enterprises. The types was mainly identified by the job security of disadvantaged social groups. As for measurement variables, the input components included average wage, support fund, and the number of non-vulnerable employees and the number of vulnerable employees, sales, and net income were selected as output variables. In conclusion, the efficiency of Gyeonggi-do social enterprises decreased every year, and thus it is urgent to improve their efficiency, and priority should be given to the employment of vulnerable social groups, which both the job opportunity providing-type and the social service providing-type showed the highest performance.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.97-104
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• 2022

In recent years, data privacy has become increasingly important. The goal of network cryptography is to protect data while it is being transmitted over the internet or a network. Social media and smartphone apps collect a lot of personal data which if exposed, might be damaging to privacy. As a result, sensitive data is exposed and data is shared without the data owner's consent. Personal Information is one of the concerns in data privacy. Protecting user data and sensitive information is the first step to keeping user data private. Many applications user data can be found on other websites. In this paper, we discuss the issue of privacy and suggest a mechanism for keeping user data hidden in other applications.

• Journal of the Korean Home Economics Association
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• v.38 no.4
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• pp.61-84
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• 2000

The purpose of this study was to investigate Cheju Women\`s Social Education to improve social education. The data were collected by means of Questionnaire distributed to a stratified sample of 1,447 women in Cheju. Frequency, percentile, mean, x$^2$, t-test, one-way ANOVA were used to analyze the data. The study resulted in five major findings. The majority of respondents had a experience of social education. The motive of participation was to adapt oneself to new social circumstances. The respondents satisfied with social education. But, the discontented person pointed out level of lecturer. The respondents required foci educational institutions to teach social education for licences. They preferred teaching practice to theory. This study will be a primary material for development of programs which are aimed at enhancing women's abilities and roles in accordance with the changes in social structure and the circumstances of the times.

• Journal of Information Processing Systems
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• v.14 no.4
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• pp.904-915
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• 2018

We demonstrate how social media content can be used to predict the unemployment rate, a real-world indicator. We present a novel method for predicting the unemployment rate using social media analysis based on natural language processing and statistical modeling. The system collects social media contents including news articles, blogs, and tweets written in Korean, and then extracts data for modeling using part-of-speech tagging and sentiment analysis techniques. The autoregressive integrated moving average with exogenous variables (ARIMAX) and autoregressive with exogenous variables (ARX) models for unemployment rate prediction are fit using the analyzed data. The proposed method quantifies the social moods expressed in social media contents, whereas the existing methods simply present social tendencies. Our model derived a 27.9% improvement in error reduction compared to a Google Index-based model in the mean absolute percentage error metric.