The relationship between the psychometric and performance properties of teacher-made tests and students’ academic performance in Ethiopian public universities: a baseline survey study
Abstract
The core of the educational system is students’ academic performance, which demands sensitive measures. In this situation, teacher-made tests (TMTs) are more promising, but they can be susceptible to measurement error if not well designed. Hence, this study aimed to investigate the relationship between the properties of TMTs and students’ academic performance in Ethiopian public universities, evidencing English language communicative skills courses. The research employs a postpositivist research paradigm, quantitative approach, cross-sectional design, purposive sampling size technique, and CTTs. It revealed that the relationship that exists between the properties of TMTs and students’ academic performance is strong positive, ranging from r=.773 to.886. This implies that the variance shared between these two variables was r2=.59 to.75/59% to 75%. A one-way ANOVA depicts (F1.202 at p =.30>.05) there was no statistically significant mean difference among public universities in students’ academic performance, suggesting their homogeneity. In addition to this, in all public universities, students’ score mean was less than the minimum requirement [mean of 37.42 out of 80, which is < 40 (50%) at P =.326 >.05], needing concern. Design-thinking utilizing correlation enabled the creation of a novel model, while the limitation of correlation statistics was maintained by computing r2. The model, ‘The Psychometric and Performance Properties of TMTs in Measuring Students’ Academic Performance’, requires further enhancement through interventional studies. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Author(s)
Kenea, Tekalign Geleta, Mikire, Fisseha, Negawo, Zenebe
Year
2024
Countries
Ethiopia
Language
English
Research Method
Quantitative
Article Type
Peer-Reviewed Articles
Keywords
English language | Assessment | Language of instruction | Excel Import
Source Link
Full Citation Style
Research Team
Kenea, Tekalign Geleta
Mikire, Fisseha
Negawo, Zenebe
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