• Title/Summary/Keyword: 분석연구

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Analysis of Coronavirus Response Policy Effiectiveness According to the Strigency Index (엄격성 지수 분석에 따른 감염병 대응 정책 효과성 분석)

  • Jeon, Eun-Goo
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2022.10a
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    • pp.143-144
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    • 2022
  • 본 연구에서는 엄격성 지수(Strigency Index)분석에 따른 OECD 가입국들의 코로나19 대응 정책 엄격성의 효과성을 분석하였다. 코로나바이러스감염증-19(이하, 코로나19)발생 이후 전 세계 대다수 국가들은 점진적 일상회복 단계로 접어들어 'with corona' 시대로 가고 있다. 코로나19의 완전 방역을 이루며 이전과 같은 일상으로 돌아가고 있지만, 또다시 대규모 감염병이 발생할 수 있다는 가능성을 가지고 있다. 그리하여 본 연구에서는 옥스퍼드 코로나바이러스 정부대응추적 프로젝트(OxCGRT)에서 제시된 21개 지표 중 OurWorldinData서 엄격성 지수 분석에 활용되는 9개 지표를 분석하여 정책의 엄격성을 분석하여 추후 발생하는 대규모 감염병에 효과적으로 대응하기 위한 기초 자료가 되고자 한다. 엄격성 지수 분석 결과, 9개 지표 중 6개 지표에서 정책의 도입한 시점부터 확진자가 감소하는 추세를 보이는 유사한 변화를 찾을 수 있었다. 하지만, 엄격성 지수 분석을 통해 국가 대응의 적절성·효과성을 입증하기에는 판단 기준이 0~4점 사이의 임의의 기준으로 분류되고 있었으며, 변수설정 또한 제시되어 있지 않아 대응 정책의 엄격성을 평가하는 기준으로 활용하기에는 한계점이 있어 보인다. 본 연구에서 엄격성 지수 분석을 통한 감염병 대응 정책의 효과성을 찾고자 하였다. 지수와 확진자 추세 간 유사한 변화는 찾았지만, 엄격성 지수의 한계점이 존재하는 연구이다. 그러나 본 연구의 결과를 통해 추후 확진자 증감 대비 엄격성 지수 분석을 통한 상관관계 분석, 지표별 평균치와 확진자 추세 분석을 통한 공통적인 효과성 분석 등 다른 연구의 기초 자료가 될 수 있을 것이라 판단된다.

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지수분해분석을 적용한 지역별 연구개발 투자 요인 분석

  • Jang, Han-Su;Lee, Ju-Seok
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2017.05a
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    • pp.3-11
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    • 2017
  • 한국의 지역별로 특화된 과학기술 연구개발과 투자가 지속적으로 강조되고 있다. 연구개발 특구로 지정도 확대되었다. 광역시도별 연구개발 투자가 확대되는 분위기에서 각 지역별 투자에 영향을 미치는 요인이 무엇인지 학술적 검토가 필요하다. 본 논문에서는 지수분해분석(Index Decomposition Analysis) 방법론을 적용하여 광역시도의 연구개발 투자 요인에 대한 분석을 시도하였다. 분석에 사용된 자료는 통계청에서 발행된 2010~2015년 동안 지역별 인구, 연구원수, 연구개발 투자비 등이다. 분석 결과 대전, 서울, 경기 지역의 연구개발 투자 증가가 두드러진 것으로 나타났으며 다른 지역은 상대적으로 낮은 것으로 나타났다.

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Korean Dependency Guidelines for Dependency Parsing and Exo-Brain Language Analysis Corpus (의존 구문분석을 위한 한국어 의존관계 가이드라인 및 엑소브레인 언어분석 말뭉치)

  • Lim, Joon-Ho;Bae, Yongjin;Kim, Hyunki;Kim, Yunjeong;Lee, Kyu-Chul
    • Annual Conference on Human and Language Technology
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    • 2015.10a
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    • pp.234-239
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    • 2015
  • 2000년대 중반 세종 구구조 구문분석 말뭉치가 배포된 이후 의존 구문분석이 구문분석 연구의 주요 흐름으로 자리 잡으면서 많은 연구자들이 구구조 구문분석 말뭉치를 개별적으로 의존구조로 변환하여 구문분석 연구를 수행하였다. 하지만 한국어 문장의 의존구조 표현에 대한 논의가 부족하여 서로 다른 의존구조로 변환 후 구문분석을 연구함으로써 연구 효율성이 저하되는 문제가 발생하였다 본 연구에서는 이와 같은 문제에 접근하기 위하여 한국어 문장에 대한 의존관계 가이드라인을 제안한다. 그리고 제안하는 가이드라인을 기반으로 구축한 엑소브레인 언어분석 말뭉치(725 문장)에 대해 소개한다.

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A Quality Assessment of Meta-Analyses Research in Social Work (국내 사회복지 관련 메타분석 연구의 질 평가)

  • Cho, Mi-Kyoung;Kim, Hee-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.10
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    • pp.158-167
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    • 2016
  • This study was conducted to evaluate the quality of meta-analysis of social work in South Korea using the Assessment of Multiple Systematic Review (AMSTAR). Electronic databases including the Korean Studies Information Service System (KISS), DBpia, and RISS4U were searched for 'meta-analysis', 'social work', and 'social welfare' from 2000 to December 2015, and 42 meta-analysis studies were included. Data were analyzed using descriptive statistics, t-tests, and ANOVA. The mean score for AMSTAR evaluation was $4.766{\pm}1.66$, while 19 studies (45.2%) were classified at the low-quality level, and 22 (52.4%) were at the moderate-quality level. The scores of quality assessment were analyzed by publication year, participants, number of studies included, number of DB, reporting study quality, extraction diagram and topics. The findings indicated that the following changes should be implemented to improve the quality and reliability of meta-analysis results in social work research: 1) common reporting guidelines should be provided for the social work field, 2) quality analyses of each study should be conducted to achieve a high level of evidence of effectiveness of social work interventions, 3) the characteristics of the included studies should be provided, and 4) a consensus and procedure based on at least two independent data extractors should be reported.

해양바이오 분야 R&D 지원의 동향분석과 함의 : 정부 R&D 사업 분석을 중심으로

  • Jang, Duckhee;Doh, Soogwan
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2017.11a
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    • pp.1375-1399
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    • 2017
  • 이 연구의 목적은 해양바이오 분야에 지원된 정부 R&D의 지원동향 분석을 기초로 향후 이 분야 정부연구개발 사업에 필요한 함의를 도출하는 데 있다. 이 연구에서는 NTIS DB를 통해 식별한 3,030건의 세부과제를 대상으로 기술통계와 과제명을 기초로 한 주제어 간 연결 관계를 SNA(Social Network Analysis) 방법을 이용해 실증분석 하였다. 이 연구에서 수행한 실증분석 결과를 간략하게 요약하면 다음과 같다. 첫째, 기술통계 분석 결과 최근으로 올수록 해양바이오 분야에 지원된 정부지원 연구개발 사업은 사업수와 연구비 지원규모 면에서 지속적인 성장을 보이고 있다. 둘째, 분야 특성상 이 분야에 대한 R&D 지원은 해수부가 주도적이지만, 대체로 범부처적 성격을 갖는다. 셋째, SNA를 통한 실증분석 결과 대부분의 사업이 해양생명자원이 가진 특이기작으로부터 유용신소재를 확보하기 위한 목적을 갖고 있는 것으로 분석되었다.

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An Exploratory Study on the Study Trend of Domestic Entrepreneurship Using Co-word Analysis Method (국내 기업가정신의 연구동향에 관한 탐색적 연구: 동시단어분석 방법을 중심으로)

  • Kim, Young-Su;Ko, Jong-Nam;Do, Man-Seung
    • Journal of the Korean Society for information Management
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    • v.28 no.3
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    • pp.295-312
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    • 2011
  • This study conducted time-series analysis on domestic studies related to entrepreneurship for more than last 50 years by integrating the co-word analysis method of intellectual structure analysis into the study of entrepreneurship. The co-word analysis method is a quantitative analysis method to analyze the overall trend of the study and further study topics by visualizing the information between study topics and arranging the topics on two-dimensional plane and the study result showed largely four phases and the direction of the study path. According to the analysis, the study is started at embryonic study phase(third quadrant), the study topic of independent study phase(second quadrant) is a phase to be a settled independent area as a study and the topics of the study include topics of the study reflecting the situation of the times. At growing study phase(first quadrant) study topics which are closely related to the study topic are arranged, and the topics, the center of the study, are positioned at the study topics of maturity phase(4th quadrant).

Evaluation of SCI for Basic Research Programs in Science and Technology Measured at the Quality Level of Individual Articles (개별 논문의 질적 수준에서 측정한 과학기술분야 기초연구사업의 SCI 성과 분석)

  • Lee, BangRae;Yim, JongYeon;Lee, WooJoo;Won, DongKyu
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.11-25
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    • 2019
  • In Korea, there is a high demand for the operation of differentiated programs in basic research considering the characteristics of academic fields. The results of this study shows that the higher the level of research competence, the higher the quality of research outputs. The results also tell us that the quality level of the research outputs is different according to the field of study. Based on the results, we propose a method to differentiate the selection rate of each discipline in the system that operates the individual basic research projects by the level of research capacity.

Research Trends Analysis on the Mediterranean Area Studies using Co-appearance Keywords (동시 출현 키워드를 활용한 지중해지역 연구 동향 분석)

  • Lee, Dong-Yul;Kang, Ji-Hoon;Moon, Sang-Ho
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.5
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    • pp.409-419
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    • 2016
  • In general, Area studies have very flexible field of research, so it is very difficult to proceed all field of research at the same time. Due to this, researches on Area studies have been changed the field of research and research trends according to age. So it is important to identify research trends for performing Area studies. Also, interests for understanding the research trend of Area studies are increasing constantly. In this paper, we analyze research trends of Mediterranean Area studies in Korea by using co-appearance keywords. To do this, we first analyze article types and extract co-appearance keywords on articles of 『Journal of Mediterranean Area Studies』, which is the representative journal of Mediterranean region in Korea. In details, trends analysis of Mediterranean Area studies would be performed by using cp-keywords of article and visualizing network graph forms.

Analysis of the Statistical Methods used in Scientific Research published in The Korean Journal of Culinary Research (한국조리학회지에 게재된 학술적 연구의 통계적 기법 분석)

  • Rha, Young-Ah;Na, Tae-Kyun
    • Culinary science and hospitality research
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    • v.21 no.6
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    • pp.49-62
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    • 2015
  • Give that statistical analysis is an essential component of foodservice-related research, the purpose of this review is to analyse research trends of statistical methods applied to foodservice-related research. To achieve these objective, this study carried out a content analysis on a total of 251 out of 415 research articles published in The Korean Journal of Culinary Research(TKJCR) from January 2010 to December 2013. Of the total 164 research articles focussing on natural science research, qualitative research, articles written in English were excluded from the scope of this study. The results of this study are as follows. First, it turned out that 269 research articles applied quantitative research methods, and only 10 articles applied qualitative research methods among the 279 research articles based on social science research methods. Second, 20 article (8.0%) among the 251 did not specify the statistical methods or computer programs that were used for statistical analysis. Third, it was found that 228 articles (90.8%) used the SPSS program for data analysis. Fourth, in terms of frequency of use, it was revealed frequency analysis was most used, followed in order by reliability analysis, exploratory factor analysis, correlation analysis, regression analysis, structural equation modeling, confirmatory factor analysis, t-test, variance analysis, and cross tabs analysis, However, 3 out of 56 research articles that used a t-test did not suggest a t-value. 10 out of 64 articles that used ANOVA and demonstrated a significant difference in between-group mean did not conducted post-hoc test. Therefore, the researchers with interest in foodservice fields need to keep in mind that choosing and applying the correct statistical technique both determine the value and the success or failure of a study. To enhance the value and success of a study, it is necessary to use the proper statistical technique in an efficient way in order to prevent statistical errors.

An Analysis of Trends in Quantitative Studies on Female North Korean Refugees (탈북여성 관련 양적 연구동향 분석)

  • Lee, Soon Min;Shim, Woochan
    • The Journal of the Korea Contents Association
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    • v.18 no.7
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    • pp.470-483
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    • 2018
  • This study was conducted to analyze the trend of quantitative research regarding female North Korean refugees in order to broaden our understanding of North Korean women and provide directions for future research. In August 2017, the Korean studies Information Service System (KISS) and Nuri Media (DBpia) databases were used to search academic peer reviewed journal articles with the following keywords: "North Korean female", "North Korean female refugees" and "North Korean female defectors". Trend analysis included a content analysis of the study finding section, along with analysis of the general characteristics of the study such as published journals, year of publication, study methodologies, and subject of the study. The main findings are as follows: First, Korean Journal of Woman Psychology was the journal with the most studies on female North Korean refugees. Second, as a result of looking at research trends by year, there was only one study on North Korean female refugees published between 2000 and 2004, and the number started to increase in 2010(8 articles, 22.22%). Third, according to the analysis of research trends by research methods, survey method was most frequently used. Fourth, statistical analysis was most often utilized analysis methodology(34 studies, 94.44%). Fifth, in the content analysis, North Korean female refugees' mental health and emotional issues(17 studies, 47.22%) were the most often the focus of studies being analyzed, followed by social adjustment issues((5 studies, 13.89%). Based on these results, directions for future studies were suggested.