Related Experiment Video
Updated: Feb 18, 2026

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
Published on: August 28, 2021
Searching for the Golden Model of Education: Cross-National Analysis of Math Achievement
Katerina Bodovski1, Soo-Yong Byun1, Volha Chykina1
1The Pennsylvania State University.
Abstract:
We utilized four waves of TIMSS data in addition to the information we have collected on countries' educational systems to examine whether different degrees of standardization, differentiation, proportion of students in private schools and governmental spending on education influence students' math achievement, its variation and socioeconomic status (SES) gaps in math achievement. Findings: A higher level of standardization of educational systems was associated with higher average math achievement. Greater expenditure on education (as % of total government expenditure) was associated with a lower level of dispersion of math achievement and smaller SES gaps in math achievement. Wealthier countries exhibited higher average math achievement and a narrower variation. Higher income inequality (measured by Gini index) was associated with a lower average math achievement and larger SES gaps. Further, we found that higher level of standardization alleviates the negative effects of differentiation in the systems with more rigid tracking.
More Related Videos
Related Concept Videos
Comparing Experimental Results: Student's t-Test
Correlations
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Review and Preview
Percentiles are a type of fractile that partition data into...
Arithmetic Mean
When all the values in a data set are not unique, the sum in the numerator can be calculated by multiplying each distinct value by its frequency.
Sometimes, the arithmetic mean of a sample can be affected by a few data points...
Measures of Intelligence
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...

