Abstract
The main purpose of this study is to guide researchers to establish a theoretical framework and to guide researchers who are new to Cognitive Diagnostic Models (CDM) research to know which journals and authors to refer to when examining this phenomenon. In this study, the bibliometric features of the articles published in the WOS database on Cognitive Diagnostic Models were analyzed. Studies related to CDM were visualized and interpreted with the bibliometric analysis method. Within the scope of the study, answers were sought to the questions of what are the most effective studies on BTM, which concepts have been developed, what are the train topics in this field, and which concepts have been associated with the studies in this field over the years. According to the results of the analysis, it was seen that there were 194 articles about CDM in 60 journals between 1997-2022, the country that contributed the most to the field of CDM was USA, the institution was the University of Illions, and the author was Chang H. H. In addition, it has been concluded that the USA is the main actor in the cooperation network between other countries. It has been seen that the most used keyword in the field of Cognitive Diagnostic Models is dina model. It has been concluded that some of the trending topics associated with the CDM field in recent years are comprehension, fit and accuracy.
References
- Aria, M., & Cuccurullo, C. (2017). Bibliometrix: an R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
- Benckendorff, P. (2009). Themes and trends in Australian and New Zealand tourism research: A social network analysis of citations in two leading journals (1994–2007). Journal of Hospitality and Tourism Management, 16(1), 1-15.
- Berry, L. L., & Parasuraman, A. (1993). Building a new academic field—The case of services marketing. Journal of Retailing, 69(1), 13-60.
- Cahlik, T. (2000). Comparison of the maps of science. Scientometrics, 49(3), 373-387.
- Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometrics, 22(1), 155-205.
- Chen, X., Chen, J., Wu, D., Xie, Y., & Li, J. (2016). Mapping the research trends by co-word analysis based on keywords from funded project. Procedia Comput. Sci, 91, 547-555.
- Chen, J., & de la Torre, J. (2013). A general cognitive diagnosis model for expertdefined polytomous attributes. Applied Psychological Measurement, 37(6), 419-437.
- Choi, H. J. (2010). A model that combines diagnostic classification assessment with mixture item response theory models (Doctoral dissertation). University of Georgia, Athens, Georgia.
Abstract
Bu çalışmanın temel amacı, araştırmacıları teorik bir çerçeve oluşturmaya yönlendirmek ve Bilişsel Tanı Modelleri (BTM) araştırmalarında yeni olan araştırmacılara, bu fenomeni incelerken hangi dergilere ve yazarlara başvuracaklarını bilmeleri için rehberlik etmektir. Bu çalışma ile Bilişsel Tanı Modelleri (BTM) üzerine WOS veri tabanında yayınlanan makalelerin bibliyometrik özellikleri analiz edilmiştir. BTM ile ilgili çalışmalar bibliyometrik analiz yöntemi ile görselleştirilmiş ve yorumlanmıştır. Çalışma kapsamında BTM ile ilgili en etkili çalışmaların neler olduğu, hangi kavramların geliştirildiği, bu alanda trend konuların neler olduğu, yıllar boyunca bu alandaki çalışmaların hangi kavramlar ile ilişkilendirildiği sorularına yanıt aranmıştır. Analiz sonuçlarına göre 1997-2022 yılları arasında 60 dergide BTM ile ilgili 194 makale olduğu, BTM alanına en çok katkı sağlayan ülkenin USA, kurumun Illions Üniversitesi, yazarın ise Chang H. H. görülmüştür. Bunun yanında diğer ülkeler arasındaki iş birliği ağında da USA’nın temel aktör konumunda olduğu sonucuna ulaşılmıştır. Bilişsel Tanı Modelleri alanında en çok kullanılan anahtar kelimenin Dina Model olduğu görülmüştür. Son yıllarda BTM alanıyla ilişkilendirilen trend konuların bazıları comprehension (anlama kabiliyeti), fit (uyum) ve accuracy (doğruluk) olduğu sonucuna ulaşılmıştır.
References
- Aria, M., & Cuccurullo, C. (2017). Bibliometrix: an R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
- Benckendorff, P. (2009). Themes and trends in Australian and New Zealand tourism research: A social network analysis of citations in two leading journals (1994–2007). Journal of Hospitality and Tourism Management, 16(1), 1-15.
- Berry, L. L., & Parasuraman, A. (1993). Building a new academic field—The case of services marketing. Journal of Retailing, 69(1), 13-60.
- Cahlik, T. (2000). Comparison of the maps of science. Scientometrics, 49(3), 373-387.
- Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometrics, 22(1), 155-205.
- Chen, X., Chen, J., Wu, D., Xie, Y., & Li, J. (2016). Mapping the research trends by co-word analysis based on keywords from funded project. Procedia Comput. Sci, 91, 547-555.
- Chen, J., & de la Torre, J. (2013). A general cognitive diagnosis model for expertdefined polytomous attributes. Applied Psychological Measurement, 37(6), 419-437.
- Choi, H. J. (2010). A model that combines diagnostic classification assessment with mixture item response theory models (Doctoral dissertation). University of Georgia, Athens, Georgia.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Measurement and Evaluation in Education (Other) |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | September 20, 2024 |
| Publication Date | September 27, 2024 |
| Submission Date | April 7, 2024 |
| Acceptance Date | June 13, 2024 |
| Published in Issue | Year 2024 Volume: 14 Issue: 3 |
