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NTIS 바로가기Journal of the Korean Data & Information Science Society = 한국데이터정보과학회지, v.25 no.3, 2014년, pp.579 - 599
The purpose of this study was to identify the trends and risk of bias of research using time series analysis on health and welfare in Korea and to suggest a direction for future health and welfare research. The database searches identified 6,543 papers. Following the process for screening and select...
핵심어 | 질문 | 논문에서 추출한 답변 |
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시계열 자료란 무엇인가? | 시계열 자료 (time series data)는 어떠한 현상에 대하여 시간의 흐름에 따라 일정한 간격으로 이들을 관측하여 기록한 자료를 의미하며, 시계열 분석 (time series analysis)은 시계열 자료가 시간에 따라 변화하는 구조 (probabilistic structure) 사이에 존재하는 종속성과 상관성 등 여러 확률적 또는 통계적 성질들을 파악하고, 이를 바탕으로 이 확률현상의 미래 형태를 예측하는 통계분석을 의미한다 (Jung과 Won, 2001). | |
시계열 분석이란 무엇인가요? | 시계열 자료 (time series data)는 어떠한 현상에 대하여 시간의 흐름에 따라 일정한 간격으로 이들을 관측하여 기록한 자료를 의미하며, 시계열 분석 (time series analysis)은 시계열 자료가 시간에 따라 변화하는 구조 (probabilistic structure) 사이에 존재하는 종속성과 상관성 등 여러 확률적 또는 통계적 성질들을 파악하고, 이를 바탕으로 이 확률현상의 미래 형태를 예측하는 통계분석을 의미한다 (Jung과 Won, 2001). | |
PRISMA을 활용해 체계적인 문헌고찰을 할 수 있는 이유는? | 연구의 모든 과정은 체계적 문헌고찰과 메타분석 연구보고 양식인 PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses)에 근거하였다. 이는 Moher 등 (2009)이 개발한 것으로, 문헌의 검색일자, 검색전략을 기술하여 문헌 검색이 보다 완벽하게 재현될 수 있도록 권고하고 있다. 이를 통해 체계적 문헌고찰 수행 과정에서 요구하는 항목과 내용 (제목, 초록, 방법, 결과, 고찰 및 결론)을 확인하여 이에 맞게 작성하였고, 문헌선택 흐름도 (PRISMA flow chart)를 이용하여 문헌 검색 및 선정, 선택과 배제 과정을 수행하였다. |
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