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Large-scale Assessments in Education

An IERI – International Educational Research Institute Journal

Publishing model:
Open access

Overview

The articles presented in Large-Scale Assessments in Education contribute to progress in the science of large-scale assessments, help disseminate state-of-the-art information about empirical research using these databases and make the results available to policy makers and researchers around the world.

Large-Scale Assessments in Education is a  publication of the International Association for the Evaluation of Educational Achievement (IEA).

Editors-in-Chief
  • Eugenio Gonzalez PhD
  • Dirk Hastedt PhD
  • Leslie Ann Rutkowski PhD

Journal metrics

Journal Impact Factor
3.0 (2025)
5-year Journal Impact Factor
3.7 (2025)
Submission to first decision (median)
11 days
Downloads
475k (2025)

Latest articles

Journal updates

  • Double-anonymous peer review | Instructions for anonymising your submission

    Large-scale Assessments in Education is a journal that operates under a double anonymous peer review model.

    In journals with a double anonymous peer review model, the reviewers and authors don't know each other's identities during the review process. To ensure this, authors must avoid accidentally revealing who they are to the reviewers.

    Instructions for anonymizing your submission


    Before submitting, remove any identifying information from your manuscript. This includes:


    • authors' names
    • affiliations
    • email addresses


    This information must not be in:


    • the manuscript, including all figures, tables, supplementary material and related files
    • the file metadata (personal information from the document properties)
    • any files that will be shared with reviewers


    Your manuscript should not include:


    • author acknowledgements or contribution statements
    • a competing interest statement


    We'll ask for this information in our submission system (Snapp). Any information you provide in the submission system will be added to the version we'll publish.


    You should also use the third person when referring to your previously published work. For example, write "Brown and Smith (2015) have demonstrated" instead of "we/the authors have previously demonstrated (Brown & Smith, 2015)."


    If your research includes data, ensure that any datasets, code, or supplementary materials shared for peer review are fully anonymized.


    If you are using a preprint service, be aware that it will be easier to find out who the authors are online during a double anonymous peer review. We ask our reviewers to review articles objectively and trust them not to investigate the authors’ identities, but we cannot guarantee this.

Journal information

Electronic ISSN
2196-0739
Abstracted and indexed in
  1. BFI List
  2. Baidu
  3. CLOCKSS
  4. CNKI
  5. CNPIEC
  6. Chinese Academy of Medical Science (CAMS)
  7. DOAJ
  8. Dimensions
  9. EBSCO
  10. ERIC
  11. Emerging Sources Citation Index
  12. Gale
  13. GoOA - The Chinese Academy of Sciences (CAS)
  14. Google Scholar
  15. Japanese Science and Technology Agency (JST)
  16. Naver
  17. OCLC WorldCat Discovery Service
  18. Ovid Discovery
  19. Portico
  20. ProQuest
  21. SCImago
  22. SCOPUS
  23. TD Net Discovery Service
  24. Wanfang
  25. eLibrary.ru
© The International Association for Evaluation of Educational Achievement (IEA)

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