• Title/Summary/Keyword: 집단중심

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Fraud and Error in the Social Assistance Program (국민기초생활보장제도 수급자격 적격성 연구 - 사각지대와 부정수급집단의 특성을 중심으로 -)

  • Park, Neung-hoo;Song, Mi-young
    • Korean Journal of Social Welfare Studies
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    • no.39
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    • pp.287-314
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    • 2008
  • This paper tests the stigma hypothesis and administration hypothesis on the illegal take-up group and non take-up group in the National Livelihood Security Program. A set of survey data, using multinomial logistic model, was analyzed for this purpose. Compared with the legal take-up group, the feature of illegal take-up group which has more workable household supports the administration hypothesis - the low skill of means-test office would increase the possibility of benefit fraud. The features of non take-up group support both the stigma hypothesis - the stigma prevents eligible person from participating in the social assistance program, and the administration hypothesis - the administration office is apt to make error to deny the eligibility of person who has supposed family supporters.

A Longitudinal Study of Science Core School Students' STEM Career Motivation (과학중점고등학교 학생들의 이공계 진로동기에 대한 종단분석)

  • Shin, Sein;Rachmatullah, Arif;Ha, Minsu;Lee, Jun-Ki
    • Journal of The Korean Association For Science Education
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    • v.36 no.6
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    • pp.835-849
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    • 2016
  • The purpose of the present study is to analyze the trajectory of science core school students' STEM career motivation and to examine the relationship between the trajectory patterns and students' tracks. Longitudinal STEM career motivation data with seven constructs were collected from 256 students for five semesters and the data were analyzed by using group-based trajectory modelling analysis. In order to examine the relationship between trajectory pattern groups and the tracks, chi-square tests were conducted. Based on our findings, we found that students are likely to have similar trajectory patterns in STEM career education experience and in their perception towards STEM career value. In terms of parents' support, academic self-efficacy and STEM career motivation aspects are divided into two distinctive trajectory groups ('high' and 'low' group), while two other variables, STEM career self-efficacy and STEM career interest, are divided into three trajectory groups ('moderate declining', 'high declining', 'increasing' group). Most of the trajectory groups are shown the pattern that the level of each constructs increase until their second academic year, then after that, the patterns started going down. Moreover, there are significant relationship between track and each trajectory groups. Science track and science-core track students have similar trajectory patterns. In contrast, humanities track students have different trajectory groups in some constructs. Based on these findings, we suggest that STEM career education environment should consider various patterns of students' STEM career development.

Context-Aware App-Store System based on Collective Intelligence (집단지성 기반 상황인지 앱스토어 시스템)

  • Lim, Won-Jun;Lee, Kang-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.2
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    • pp.11-20
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    • 2015
  • In this paper, we propose a context awareness system to transfer accurate information of the app store based on collective intelligence. By using collective intelligence the system minimizes the errors that could occur when an individual process the problems, recommends APIs for developers and builds the app store for not only customers but also developers. In addition, this system applies the ontology technique to aware the context of consumers, recommends the app suitable for the consumer and provides the information for app developers. By utilizing the deduction technique of the Jena, the context awareness system infers the context of a consumer and constructs the app store system which improves the existing app stores. In the point of service transfer and accuracy, the proposed app store system module show better performance than the existing app store.

집단지성에 대한 신뢰가 실용적 특성 UCC웹사이트의 지속사용에 미치는 영향

  • Hong, Tae-Ho;Kim, Kwang-Mo
    • 한국경영정보학회:학술대회논문집
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    • 2008.06a
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    • pp.1014-1022
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    • 2008
  • 최근 들어 WWW(World WideWeb) 환경은 데이터의 소유자나 독점자 없이 누구나 손쉽게 데이터를 생산하고 인터넷에서 공유할 수 있도록 한 사용자 참여 중심의 인터넷 환경인 Web 2.0 시대를 맞이하고 있다.Web 2.0 관련 기술이 발달함에 따라 UCC(User Created Contents) 웹사이트의 사용자 수는 폭발적으로 증가하고 있다. 이에 따라 여럿의 중지를 모아 만들어지는 집단지성의 중요성이 부각되고 있고, UCC 웹사이트는 고품질의 집단지성을 제공하려고 다양한 서비스 및 상품의 개발을 하고 있다. 또한, UCC 웹사이트들은 자신들이 제공하는 집단지성을 사용자들이 채택하도록 많은 노력을 기울이고 있다. 본 연구는 대표적인 UCC 웹사이트인 위키피디아(www.wikipedia.org), 네이버 지식인 (kin.naver.com), 윙버스 (www.wingbus.com) 를 비롯한 실용적 특성 UCC 웹사이트를 대상으로 집단지성에 대한 신뢰가 실용적 특성 UCC 웹사이트의 지속사용에 미치는 영향을 분석하였다. 구조방정식 모형을 개발하여 실증분석을 한 결과 집단지성에 대한 신뢰가 사용자 만족을 통해 지속사용에 영향을 주는 것으로 분석되다.

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The Effect of Group Mean Differences upon Factor Analysis (상관행렬의 구조분석에서 집단평균차이의 효과: 요인분석기법을 중심으로)

  • 김청택;이소영
    • Proceedings of the Korean Association for Survey Research Conference
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    • 2001.04a
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    • pp.109.2-130
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    • 2001
  • The purpose of this study is (1) to demonstrate that ignoring group differences may mislead to incorrect conclusion when analyzing correlation data (e.g., factor analysis), (2) to highlight the importance of the data analytic method considering group differences, and (3) to provide ways of incorporating group differences in data analysis. In study, 1, ignoring group difference in factor analysis may mislead to incorrect factor structure. To remedy this, z-transform method and group analysis tool in covariance structure models were suggested. In study 2, the group differences effect was illustrated by using real data (IQ test data).

The Effect of Group Mean Differences upon Factor Analysis (상관행렬의 구조분석에서 집단평균차이의 효과: 요인분석기법을 중심으로)

  • 김청택;이소영
    • Survey Research
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    • v.2 no.2
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    • pp.109-130
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    • 2001
  • The purpose of this study is (1) to demonstrate that ignoring group differences may mislead to incorrect conclusion when analyzing correlation data (e.g.. factor analysis). (2) to highlight the importance of the data analytic method considering group differences. and (3) to provide ways of incorporating group differences in data analysis. In study 1. ignoring group difference in factor analysis may mislead to incorrect factor structure. To remedy this. z-transform method and group analysis tool in covariance structure models were suggested. In study 2. the group differences effect was illustrated by using real data (IQ test data).

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Development and Effectiveness of Child Abuse Prevention Program for Marriage Immigrant Women in Korea (결혼이주여성을 위한 아동학대예방프로그램의 개발과 효과성 검증)

  • Park, Myungsook;Lee, Jaekyoung
    • The Journal of the Korea Contents Association
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    • v.16 no.8
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    • pp.117-131
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    • 2016
  • The purpose of this study is to develop the prevention program of child abuse and to verify the effects of the program for marriage immigrant women in Korea. The prevention program was consist of 5 sessions and it was provided to participants once a week for five weeks. Participants were recruited thru the community centers for multi-cultural families in Korea. This study verified the effects of the prevention program with the comparison groups(pre-post). With the independent-samples t-test and paired-samples t-test, the program verified significant effects on the variables of acculturation stress, social support, and recognition of social policy. This study suggests the parenting education of child abuse for multi-cultural families in Korea.

Subgroup Analysis of Global Communication Network on Twitter (트위터에 나타난 국제 커뮤니케이션 네트워크의 하위집단 분석)

  • Seo, Il-Jung;Cho, Jaehee
    • The Journal of the Korea Contents Association
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    • v.16 no.6
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    • pp.671-679
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    • 2016
  • We investigated subgroups within a global communication network to improve the empirical understanding of global communication phenomenon from the social network perspective. We collected global communication data from Twitter and constructed a global communication network. We also added countries' geographic and economic properties used in the United Nations and the World Economic Forum. We analyzed the subgroups' structure within the global communication network using centrality analysis, core-peripheral analysis, and cohesion analysis. We also detected communities embedded within the global communication network with modularity-based community detection methods. We found that the core countries occupy central positions in the global communication network and there is a hierarchical communication structure among the economic subgroups. Futhermore, we discovered some communities within the global communication network and found that countries within the communities can have homophily such as economy, geography, history, culture, and religion.