Evaluating the psychometric properties of the Revised Math Anxiety Rating Scale (MARS) among Ugandan high schools
Abstract
The purpose of this study was to examine the psychometric properties of the revised Math Anxiety Rating Scale for Uganda, administered to a convenience sample of 107 high school students across four grade levels. The revised scale adaptation process focused on ensuring semantic, idiomatic, experiential, and conceptual equivalence between the original and adapted items. Using Rasch measurement approaches, including the Partial Credit Model and the Many-Facet Rasch Model, we assessed item fit, reliability, and rating scale functioning. Although initial results showed strong internal consistency, 17 of the 25 items exhibited disordered thresholds. To address this, the original five-point scale was re-coded into three categories, resulting in improved threshold ordering and only a minimal reduction in person reliability. Threshold distances between adjacent categories met recommended guidelines, supporting category precision across groups. Additionally, no differential item functioning was observed across age or grade level, suggesting that the revised scale operates equivalently for diverse student subgroups. These findings provide initial evidence that the revised scale is a reliable and culturally relevant instrument for measuring math anxiety among Ugandan high school students, with implications for educational assessment and intervention.
Keywords
- Math anxiety
- Psychometric properties
- Rating scale analysis
- Partial credit model
- Differential item functioning
Project Number
References
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Details
Primary Language
English
Subjects
Measurement Theories and Applications in Education and Psychology, Scale Development, Measurement and Evaluation in Education (Other)
Journal Section
Research Article
Authors
Theode Niyirinda
*
0009-0007-1407-7518
United States
Stefanie Wind
0000-0002-1599-375X
United States
Christoper Ocheni
0000-0001-6007-2362
United States
Early Pub Date
April 8, 2026
Publication Date
-
Submission Date
July 9, 2025
Acceptance Date
February 18, 2026
Published in Issue
Year 2026 Number: Advanced Online Publication