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Direct linkZumbo, Bruno D.; Liu, Yan; Wu, Amery D.; Shear, Benjamin R.; Olvera Astivia, Oscar L.; Ark, Tavinder K. – Language Assessment Quarterly, 2015
Methods for detecting differential item functioning (DIF) and item bias are typically used in the process of item analysis when developing new measures; adapting existing measures for different populations, languages, or cultures; or more generally validating test score inferences. In 2007 in "Language Assessment Quarterly," Zumbo…
Descriptors: Test Bias, Test Items, Holistic Approach, Models
Debeer, Dries; Buchholz, Janine; Hartig, Johannes; Janssen, Rianne – Journal of Educational and Behavioral Statistics, 2014
In this article, the change in examinee effort during an assessment, which we will refer to as persistence, is modeled as an effect of item position. A multilevel extension is proposed to analyze hierarchically structured data and decompose the individual differences in persistence. Data from the 2009 Program of International Student Achievement…
Descriptors: Reading Tests, International Programs, Testing Programs, Individual Differences
Hanushek, Eric A.; Woessmann, Ludger – OECD Publishing (NJ1), 2010
While many nations express a commitment to improved educational quality, education often slips down on the policy agenda. Because the benefits of educational investments are seen only in the future, it is possible to underestimate the value and the importance of improvements. This report uses recent economic modelling to relate cognitive…
Descriptors: Foreign Countries, Thinking Skills, Economic Progress, Relationship
