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

Charles Chiu Hung Yip, Xiangzi Ouyang and Xiao Zhang

Intelligence, 2025, vol. 112, issue C

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.

Keywords: Raven's Standard Progressive Matrices; Short form; Fluid intelligence; General cognitive ability; Elementary school; Developmental research (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160289625000522
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:intell:v:112:y:2025:i:c:s0160289625000522

DOI: 10.1016/j.intell.2025.101949

Access Statistics for this article

Intelligence is currently edited by R.J. Haier

More articles in Intelligence from Elsevier
Bibliographic data for series maintained by Catherine Liu ().