Exploring Trends in Psychometrics Literature through a Structural Topic Model
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| Title: | Exploring Trends in Psychometrics Literature through a Structural Topic Model |
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| Language: | English |
| Authors: | Kübra Atalay Kabasakal (ORCID |
| Source: | International Journal of Assessment Tools in Education. 2025 12(4):942-962. |
| Availability: | International Journal of Assessment Tools in Education. Pamukkale University, Faculty of Education, Kinikli Campus, Denizli 20070, Turkey. e-mail: ijate.editor@gmail.com; Web site: https://dergipark.org.tr/en/pub/ijate |
| Peer Reviewed: | Y |
| Page Count: | 21 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Psychometrics, Evaluation Research, Journal Articles, Periodicals |
| ISSN: | 2148-7456 |
| Abstract: | The digitalization of knowledge has made it increasingly challenging to find and discover relevant information, leading to the development of computational tools to assist in organizing, searching, and comprehending vast amounts of information. In fields like psychometrics, which involve large datasets, a comprehensive examination of research trends, as well as understanding the prominence of various themes and their evolution over time through these tools, is essential for assessing the dynamic structure of the field. This study aims to explore the themes addressed in publications from eleven leading journals in psychometrics and to determine the overall distribution of topics. To achieve this, structural topic modelling has been employed. A comprehensive analysis of 8,523 article abstracts sourced from the Web of Science database revealed the existence of fourteen topics within the publications. "Scale Development and Validation" emerged as the most prominent topic, whereas "Differential Item Functioning" was the least wellknown. The distribution of topics across academic journals emphasized the key role journals play in shaping the development and evolution of psychometric research. Through further exploration of topic correlations, potential future research directions and between-topic research areas were revealed. This study serves as a valuable resource for researchers aiming to keep up with the latest advancements in psychometrics. The findings provide crucial insights to guide and shape future research in the field. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1491378 |
| Database: | ERIC |
| Abstract: | The digitalization of knowledge has made it increasingly challenging to find and discover relevant information, leading to the development of computational tools to assist in organizing, searching, and comprehending vast amounts of information. In fields like psychometrics, which involve large datasets, a comprehensive examination of research trends, as well as understanding the prominence of various themes and their evolution over time through these tools, is essential for assessing the dynamic structure of the field. This study aims to explore the themes addressed in publications from eleven leading journals in psychometrics and to determine the overall distribution of topics. To achieve this, structural topic modelling has been employed. A comprehensive analysis of 8,523 article abstracts sourced from the Web of Science database revealed the existence of fourteen topics within the publications. "Scale Development and Validation" emerged as the most prominent topic, whereas "Differential Item Functioning" was the least wellknown. The distribution of topics across academic journals emphasized the key role journals play in shaping the development and evolution of psychometric research. Through further exploration of topic correlations, potential future research directions and between-topic research areas were revealed. This study serves as a valuable resource for researchers aiming to keep up with the latest advancements in psychometrics. The findings provide crucial insights to guide and shape future research in the field. |
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| ISSN: | 2148-7456 |
