View in EDS

Exploring Trends in Psychometrics Literature through a Structural Topic Model

Saved in:
Bibliographic Details
Title: Exploring Trends in Psychometrics Literature through a Structural Topic Model
Language: English
Authors: Kübra Atalay Kabasakal (ORCID 0000-0002-3580-5568), Duygu Koçak (ORCID 0000-0003-3211-0426), Rabia Akcan (ORCID 0000-0003-3025-774X)
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
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1491378
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ1491378
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Exploring Trends in Psychometrics Literature through a Structural Topic Model
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kübra+Atalay+Kabasakal%22">Kübra Atalay Kabasakal</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-3580-5568">0000-0002-3580-5568</externalLink>)<br /><searchLink fieldCode="AR" term="%22Duygu+Koçak%22">Duygu Koçak</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-3211-0426">0000-0003-3211-0426</externalLink>)<br /><searchLink fieldCode="AR" term="%22Rabia+Akcan%22">Rabia Akcan</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-3025-774X">0000-0003-3025-774X</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Assessment+Tools+in+Education%22"><i>International Journal of Assessment Tools in Education</i></searchLink>. 2025 12(4):942-962.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: 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
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 21
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2025
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+Research%22">Evaluation Research</searchLink><br /><searchLink fieldCode="DE" term="%22Journal+Articles%22">Journal Articles</searchLink><br /><searchLink fieldCode="DE" term="%22Periodicals%22">Periodicals</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 2148-7456
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2026
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1491378
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1491378
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 942
    Subjects:
      – SubjectFull: Psychometrics
        Type: general
      – SubjectFull: Evaluation Research
        Type: general
      – SubjectFull: Journal Articles
        Type: general
      – SubjectFull: Periodicals
        Type: general
    Titles:
      – TitleFull: Exploring Trends in Psychometrics Literature through a Structural Topic Model
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kübra Atalay Kabasakal
      – PersonEntity:
          Name:
            NameFull: Duygu Koçak
      – PersonEntity:
          Name:
            NameFull: Rabia Akcan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2148-7456
          Numbering:
            – Type: volume
              Value: 12
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: International Journal of Assessment Tools in Education
              Type: main
ResultId 1