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Download full textHamid, M. Obaidul; Hoang, Ngoc T. H. – TESL-EJ, 2018
Test-takers' voices in relation to high-stakes language tests have received growing attention in recent years. While the perspectives of this stakeholder group can be utilised to improve test quality, test-taking experience, and test impact, we argue that this goal needs to be achieved by considering a fundamental shift in our conceptualisation of…
Descriptors: Language Tests, High Stakes Tests, Testing, Humanization
Saglam, Asli Lidice Gokturk – Eurasian Journal of Applied Linguistics, 2018
This article reports a mixed-method study that examined the washback effect from a locally-produced, theme-based, high-stakes English language proficiency test in tertiary education in a Turkish EAP context. The aim was to explore the extent to which washback on teaching was induced by an integrated theme-based English proficiency test designed to…
Descriptors: Testing Problems, Second Language Learning, Second Language Instruction, English (Second Language)
Bichi, Ado Abdu; Hafiz, Hadiza; Bello, Samira Abdullahi – International Journal of Evaluation and Research in Education, 2016
High-stakes testing is used for the purposes of providing results that have important consequences. Validity is the cornerstone upon which all measurement systems are built. This study applied the Item Response Theory principles to analyse Northwest University Kano Post-UTME Economics test items. The developed fifty (50) economics test items was…
Descriptors: Item Response Theory, Test Items, Difficulty Level, Statistical Analysis
Graf, Edith Aurora; Peterson, Stephen; Steffen, Manfred; Lawless, René – ETS Research Report Series, 2005
We describe the item modeling development and evaluation process as applied to a quantitative assessment with high-stakes outcomes. In addition to expediting the item-creation process, a model-based approach may reduce pretesting costs, if the difficulty and discrimination of model-generated items may be predicted to a predefined level of…
Descriptors: Psychometrics, Accuracy, Item Analysis, High Stakes Tests
