Variation in mathematics performance: A multilevel analysis with student and school's characteristics

Using data from the Trends in International Mathematics and Science Study (TIMSS), this study examines the student and school characteristics that contribute to students’ mathematics performance in early elementary school in Chile. Previous research has separately analyzed the association of student and school factors with mathematics performance. This study uses multilevel modeling analyses to account for those factors together and understand variability within and between schools. The sample in this study was 6,322 fourth grade students from 169 schools. The students’ mean age was 10.07 ( SD = 0.50); 49.6% were girls. The results from this study show that student characteristics, such as the home mathematics environment, helped explain the variation between schools more than within schools. These findings highlight the importance of considering contextual factors, such as parent–child math interactions, when developing education policy and intervention to foster students’ mathematics skills.

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Publication Details

Journal
Journal of Numerical Cognition
Published
2025-03-14
DOI
https://doi.org/10.5964/jnc.14087
Citations
1
Primary Topic
Cognitive and developmental aspects of mathematical skills
Type
article
Field-Weighted Citation Impact
2.63
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article

Variation in mathematics performance: A multilevel analysis with student and school's characteristics

Alexa Ellis, María Inés Susperreguy, Sandra Liliana Camargo Salamanca, Jimena Cosso
1 citations
Journal of Numerical Cognition
Cognitive and developmental aspects of mathematical skills
2.63
article

Variation in mathematics performance: A multilevel analysis with student and school's characteristics

Alexa Ellis, María Inés Susperreguy, Sandra Liliana Camargo Salamanca, Jimena Cosso
article en
1 citations

Abstract

Using data from the Trends in International Mathematics and Science Study (TIMSS), this study examines the student and school characteristics that contribute to students’ mathematics performance in early elementary school in Chile. Previous research has separately analyzed the association of student and school factors with mathematics performance. This study uses multilevel modeling analyses to account for those factors together and understand variability within and between schools. The sample in this study was 6,322 fourth grade students from 169 schools. The students’ mean age was 10.07 ( SD = 0.50); 49.6% were girls. The results from this study show that student characteristics, such as the home mathematics environment, helped explain the variation between schools more than within schools. These findings highlight the importance of considering contextual factors, such as parent–child math interactions, when developing education policy and intervention to foster students’ mathematics skills.

Journal of Numerical CognitionVol. 11
University of Illinois Urbana-Champaign (US), Pontificia Universidad Católica de Chile (CL), University of Alabama (US), University of Maryland, College Park (US)
Openalex Percentile: Top 14%
Cognitive and developmental aspects of mathematical skills
2.63
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Variation in mathematics performance: A multilevel analysis with student and school's characteristics — Alexa Ellis, María Inés Susperreguy, et al. · Journal of Numerical Cognition (2025) | TGRS Research Map | TGRS