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Updated: May 16, 2026

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)
Published on: August 28, 2021
Cognitive assessment in mathematics with the least squares distance method
Lin Ma1, Emre Çetin, Kathy E Green
1Morgridge College of Education, University of Denver, Denver, CO 80208, USA. lma3@du.edu
This study validated cognitive attributes for an eighth-grade math test, finding 17 attributes reliable. Performance on these attributes was similar between genders but lower in eastern regions for students.
Area of Science:
- Educational Measurement
- Cognitive Psychology
- Mathematics Education
Background:
- Cognitive attributes are crucial for understanding student performance in mathematics.
- Validating these attributes is essential for accurate assessment and targeted interventions.
- Previous research has not fully established a comprehensive set of cognitive attributes for eighth-grade mathematics.
Purpose of the Study:
- To validate a comprehensive set of cognitive attributes for an eighth-grade mathematics test.
- To compare student performance across these validated attributes based on gender and region.
- To identify and refine predictive cognitive attributes using empirical data.
Main Methods:
- Utilized the least squares distance method for attribute validation.
- Analyzed data from 5,000 eighth-grade students from the 2005 Turkish national mathematics assessment.
- Assessed 25 mathematics items for the presence or absence of 20 initial cognitive attributes.
Main Results:
- Four of the initial 20 cognitive attributes were identified as misspecified or nonpredictive.
- The study validated a revised set of 17 cognitive attributes.
- No significant performance differences were found between male and female students on the attributes.
- Students from two eastern regions demonstrated significantly lower performance on most attributes compared to other regions.
Conclusions:
- The revised set of 17 cognitive attributes provides a valid framework for assessing eighth-grade mathematics.
- Gender is not a significant factor in performance on these cognitive attributes.
- Regional disparities in educational resources or opportunities may contribute to underperformance in specific geographic areas.
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