IDEAS home Printed from https://ideas.repec.org/a/eee/intell/v112y2025ics0160289625000522.html
   My bibliography  Save this article

Measuring general cognitive ability in early elementary students: A shortened version of the Raven's Standard Progressive Matrices

Author

Listed:
  • Yip, Charles Chiu Hung
  • Ouyang, Xiangzi
  • Zhang, Xiao

Abstract

Raven's Standard Progressive Matrices (SPM) is widely used to assess fluid intelligence in developmental and educational research. Several short forms of the 60-item SPM have been proposed to address its lengthy design. However, an SPM short form for early elementary children is lacking, which is important given their distinct developmental milestones. To bridge this gap, the current study developed a 15-item SPM short form for children aged 6–8 years. The short form displayed a strong correlation with the 60-item SPM (r = 0.85). Monte Carlo simulation, Item Response Theory, and other validation methods collectively supported the short form as a reliable alternative to the full form SPM. Significant positive correlations between the short form with working memory and academic achievement dimensions further supported the validity of the short form. The current study complemented Langener, Kramer, van den Bos, and Huizenga (2022) to offer a complete collection of SPM short forms for developmental populations, enabling researchers to efficiently measure intelligence in these samples. The current short form minimizes participant fatigue intelligence assessments and facilitates more informative research designs, contributing to enhanced progress across developmental and educational research.

Suggested Citation

  • Yip, Charles Chiu Hung & Ouyang, Xiangzi & Zhang, Xiao, 2025. "Measuring general cognitive ability in early elementary students: A shortened version of the Raven's Standard Progressive Matrices," Intelligence, Elsevier, vol. 112(C).
  • Handle: RePEc:eee:intell:v:112:y:2025:i:c:s0160289625000522
    DOI: 10.1016/j.intell.2025.101949
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160289625000522
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intell.2025.101949?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intell:v:112:y:2025:i:c:s0160289625000522. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.