Psychological-Educational Studies
2025. Vol. 17, no. 3, 23–41
doi:10.17759/psyedu.2025170302
ISSN: 2587-6139 (online)
Assessment of children's intellectual abilities: standardization of the "Test of intellectual abilities for first graders" methodology
Abstract
Context and relevance. Intellectual abilities are a significant indicator of children's readiness for learning and a predictor of academic success, which underscores the importance of their assessment before and at the beginning of school education. The concepts of general intelligence and various aspects of intellectual abilities that determine it—important for successful learning at school—formed the basis of the proposed methodology for assessing intellectual abilities. Objective. To standardize the methodology for assessing the intellectual abilities of children aged 5–6 to 8–9 years, using the "Test of intellectual abilities of first graders" (TISP). Hypothesis. The TISP methodology can be used as a valid tool for express assessment of the intellectual abilities of children entering the first grade of school and first graders. Methods and materials. The study involved 1491 senior preschool and primary school children (first graders) from kindergartens and schools living in different regions of the Russian Federation and Moscow (M = 7,3, SD = 0,9, 51,8% girls). General intellectual abilities were assessed using the "Test of intellectual abilities of first graders" (TISP). Raven's Colored Progressive Matrices were used to determine the criterion and differential validity of TISP. Results. The results confirmed the five-factor structure and internal consistency of the test, as well as its criterion and differential validity in two groups of children – senior preschool and primary school age (first graders). Conclusions. The study has shown that the TISP method can be recommended for express diagnostics of general mental development and development of intellectual abilities according to several indicators measured using a test in children of preparatory groups of kindergartens and first graders in order to determine the intellectual readiness for school education and design the optimal educational trajectory of students.
General Information
Keywords: intellectual abilities, methodology for measuring intellectual abilities validity, reliability, preschoolers, primary schoolchildren
Journal rubric: Developmental Psychology
Article type: scientific article
DOI: https://doi.org/10.17759/psyedu.2025170302
Funding. The study was carried out within the framework of the state assignment of the Ministry of Education of the Russian Federation dated 09.02.2024 No. 073-00037-24-01 "Development of a package of standardized psychodiagnostics tools in digital format for assessing the individual psychological characteristics of students at different levels of education".
Acknowledgements. The authors thank the management and staff of kindergartens and schools in the Samara and Volgograd regions, the Republic of Sakha (Yakutia) and the city of Moscow, Russian Federation, for their assistance in collecting data for the study.
Supplemental data. Datasets are available from https://doi.org/10.48612/MSUPE/9ekr-gahb-8a8h.
Received 12.04.2025
Revised 26.05.2025
Accepted
Published
For citation: Shumakova, N.B., Shcheblanova, E.I., Kosheleva, Y.P., Sorokova, M.G. (2025). Assessment of children's intellectual abilities: standardization of the "Test of intellectual abilities for first graders" methodology. Psychological-Educational Studies, 17(3), 23–41. (In Russ.). https://doi.org/10.17759/psyedu.2025170302
© Shumakova N.B., Shcheblanova E.I., Kosheleva Y.P., Sorokova M.G., 2025
License: CC BY-NC 4.0
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Information About the Authors
Contribution of the authors
Natalia B. Shumakova — ideas; annotation, writing and design of the manuscript; planning of the research; data collection and analysis; control over the research.
Elena I. Shcheblanova — ideas; planning of the research; data analysis; control over the research.
Yuliya P. Kosheleva — annotation; application of statistical methods for data analysis; visualization of research results.
Marina G. Sorokova — application of statistical methods for data analysis.
All authors participated in the discussion of the results and approved the final text of the manuscript.
Conflict of interest
The authors declare no conflict of interest.
Ethics statement
Parental consent has been obtained for children to participate in the study.
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