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Meta-Analaysis Approach to Study the Prevalence of Information Databases Use in Scientometric Reseaches
Afshin Musavi chalak , Mohammad Alaee arani , Faramarz Soheili , Maryam Salami
Payame Noor University; Tehran, Iran;
Abstract:   (2147 Views)
: Scientometric research with the ability to assess scientific research and using multiple indicators in explaining capacities, scientific performance and technology in different dimensions has increased the attention of researchers.This study aims to meta-analysis the Iranian researches in scientometrics from the perspective of uses of scientific databases as data sources in this research field. The method of this study is meta-analysis. The study population consisted of 170 documents (cases) that they all were chosen based on the criteria of credibility within the survey. The articles in scientometrics field were retrieved from 1392 to 1395. In first step, the assumptions of homogeneity and bias were checked; fixed effect size was interpreted according to Cohen model. The two familiar databases, Web of Science and Scopus have the most uses. Finding shows homogeneity of effect size and unbaisedness the studies analyzed in our research. The effect size of the Prevalence of Information Databases Use in Scientometric Reseach was 0.869 (P= 0.000). Results also show that with the increase of year, Using of external scientific databases have been added. Meta-analysis results indicate that the main sources of researches are foreign scientific information databases. However, the internal databases used in some studies but because of inability to extract the overall output of the retrieved results, and their mismatch with scientometric and statistics software, have little ability for use in this field of research. Planning of native scientific databases is essential for becoming a citation database as the most important tool for assessing the country's scientific and technological system and scientometrics studies.
Keywords: meta-analysis, scientific information database, scinetometrics, evaluating scientometrics research.
Full-Text [PDF 797 kb]   (544 Downloads)    
Type of Study: Research | Subject: Library and Information Science
Received: 2017/06/10 | Accepted: 2017/11/21 | Published: 2017/12/25
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پژوهشنامه پردازش و مدیریت اطلاعات Journal of Information processing and Management
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