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Dergiler / Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi / 2022 / Cilt: 13 - Sayı: 3

A Bibliometric Analysis: A Tutorial for the Bibliometrix Package in R Using IRT Literature

Serap BÜYÜKKIDIK
Sayfa
164–193
Yayın Tarihi
2022-10-12
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

It was thought that bibliometric analysis of articles related to IRT would shed light on researchers in the field of psychometrics.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The bibliometrix package in R programming language, which is frequently used in bibliometric analysis, was introduced in this research.
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Temel Bulgular & Veri:The article aimed to illustrate the various analyses applied in a bibliometric study.
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Sonuç & Katkı:It was thought that bibliometric analysis of articles related to IRT would shed light on researchers in the field of psychometrics.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:2001 Verileri
⚙️Değişkenler:bibliometric analysis · item response theory (IRT) · biblioshiny

Abstract

The bibliometrix package in R programming language, which is frequently used in bibliometric analysis, was introduced in this research. The article aimed to illustrate the various analyses applied in a bibliometric study. For this purpose, articles containing the "item response theory" (IRT) or "item response modeling" or "item response model" terms in the abstract were searched in the Thomson Reuters Clarivate Analytics Web of Science (WoS at http://www.webofknowledge.com), and bibliometric data was downloaded. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) steps were followed in the study. Data from 3388 IRT-related articles on education and psychology, searched between 2001 and 2021, were used in the study. Data were analyzed with the bibliometrix package. Some of the stages in data analysis were shared with screenshots. As a result of data analysis through the real data set, the author’s keywords related to IRT were item response model, differential item functioning, psychometrics, assessment, measurement, reliability, validity, Rasch model, and measurement invariance. The countries with the highest number of citations in IRT studies were the USA, Canada, Netherlands, United Kingdom, and China, respectively. Turkey ranked 12th in IRT studies with 434 citations. It was thought that bibliometric analysis of articles related to IRT would shed light on researchers in the field of psychometrics.

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Bu Makaleye Atıf Yap

BÜYÜKKIDIK, S. (2022). A Bibliometric Analysis: A Tutorial for the Bibliometrix Package in R Using IRT Literature. Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi, Cilt: 13 - Sayı: 3, 164–193. https://ajindex.com/articles/497136

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Kaynakça (9)

  1. Aksu, G., & Güzeller, C. O. (2019). Analysis of scientific studies on item response theory by bibliometric analysis method. International Journal of Progressive Education, 15(2), 44-64. https://doi.org/10.29329/ijpe.2019.189.4 Andrés, A. (2009). Measuring academic research: How to undertake a bibliometric study. Elsevier. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007 Bailón-Moreno, R., Jurado-Alameda, E., Ruiz-Baños, R., & Courtial, J. P. (2005). Analysis of the field of physical chemistry of surfactants with the Unified Scienctometric Model. Fit of relational and activity indicators. Scientometrics, 63(2), 259-276. https://doi.org/10.1007/s11192-005-0212-4
  2. Bock, R. D. (1997). A brief history of item response theory. Educational Measurement: Issues and Practice, 16, 21-33. https://doi.org/10.1111/j.1745-3992.1997.tb00605.x
  3. Chen, C. (2006). CiteSpaceII: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359–377. https://doi.org/10.1002/asi.20317
  4. Cobo, M. J., López‐Herrera, A. G., Herrera‐Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609-1630. https://doi.org/10.1002/asi.22688
  5. Demir, S. B. (2018). Predatory journals: Who publishes in them and why? Journal of Informetrics, 12(4), 1296-1311. https://doi.org/10.1016/j.joi.2018.10.008
  6. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W.M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
  7. Durieux, V., & Gevenois, P. A. (2010). Bibliometric indicators: Quality measurements of scientific publication. Radiology, 255(2), 342-351. https://doi.org/10.1148/radiol.09090626
  8. Egghe, L. (2005). Expansion of the field of informetrics: Origins and consequences. Information Processing and Management, 41(6), 1311–1316. https://doi.org/10.1016/j.ipm.2005.03.011
  9. Embretson, S. E., & Reise, S. P. (2013). Item response theory for psychologists. Lawrence Erlbaum. Eysenck, H. J. (1973). The measurement of intelligence. Medical & Technical Publishing Co. Garfield, E. (1955). Citation indexes for science. Science, 122(3159), 108-111. https://d