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Basman, Munevver – International Journal of Assessment Tools in Education, 2023
To ensure the validity of the tests is to check that all items have similar results across different groups of individuals. However, differential item functioning (DIF) occurs when the results of individuals with equal ability levels from different groups differ from each other on the same test item. Based on Item Response Theory and Classic Test…
Descriptors: Test Bias, Test Items, Test Validity, Item Response Theory
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Wolkowitz, Amanda A.; Wright, Keith D. – Journal of Educational Measurement, 2019
This article explores the amount of equating error at a passing score when equating scores from exams with small samples sizes. This article focuses on equating using classical test theory methods of Tucker linear, Levine linear, frequency estimation, and chained equipercentile equating. Both simulation and real data studies were used in the…
Descriptors: Error Patterns, Sample Size, Test Theory, Test Bias
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von Davier, Matthias – Quality Assurance in Education: An International Perspective, 2018
Purpose: Surveys that include skill measures may suffer from additional sources of error compared to those containing questionnaires alone. Examples are distractions such as noise or interruptions of testing sessions, as well as fatigue or lack of motivation to succeed. This paper aims to provide a review of statistical tools based on latent…
Descriptors: Statistical Analysis, Surveys, International Assessment, Error Patterns
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Solano-Flores, Guillermo; Backhoff, Eduardo; Contreras-Nino, Luis Angel – International Journal of Testing, 2009
In this article, we present a theory of test translation whose intent is to provide the conceptual foundation for effective, systematic work in the process of test translation and test translation review. According to the theory, translation error is multidimensional; it is not simply the consequence of defective translation but an inevitable fact…
Descriptors: Test Items, Investigations, Semantics, Translation