Exploring trends in psychometrics literature through a structural topic model

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dc.contributor.authorKabasakal, Kübra Atalay
dc.contributor.authorAkcan, Rabia
dc.contributor.authorKoçak, Duygu
dc.date.accessioned2026-01-24T12:01:10Z
dc.date.available2026-01-24T12:01:10Z
dc.date.issued2025
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractThe 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 well-known. 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.
dc.identifier.doi10.21449/ijate.1653549
dc.identifier.endpage962
dc.identifier.issn2148-7456
dc.identifier.issue4
dc.identifier.startpage942
dc.identifier.trdizinid1364898
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1364898
dc.identifier.urihttps://doi.org/10.21449/ijate.1653549
dc.identifier.urihttps://hdl.handle.net/20.500.12868/4066
dc.identifier.volume12
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofInternational Journal of Assessment Tools in Education
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260121
dc.subjectText mining
dc.subjectPsychometrics
dc.subjectTrend analysis
dc.subjectStructural topic modelling
dc.subjectLatent dirichlet allocation
dc.titleExploring trends in psychometrics literature through a structural topic model
dc.typeArticle

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