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Plisko, Valena White – Research in Comparative and International Education, 2013
International large-scale assessments (ILSAs) play a distinct role in the United States' decentralized federal education system. Separate from national and state assessments, they offer an external, objective measure for the United States to assess student performance comparatively with other countries and over time. The US engagement in ILSAs…
Descriptors: International Studies, Group Testing, Comparative Education, Comparative Testing
Kim, Sooyeon; Walker, Michael E.; McHale, Frederick – Journal of Educational Measurement, 2010
In this study we examined variations of the nonequivalent groups equating design for tests containing both multiple-choice (MC) and constructed-response (CR) items to determine which design was most effective in producing equivalent scores across the two tests to be equated. Using data from a large-scale exam, this study investigated the use of…
Descriptors: Measures (Individuals), Scoring, Equated Scores, Test Bias
Wendt, Heike; Bos, Wilfried; Goy, Martin – Educational Research and Evaluation, 2011
Several current international comparative large-scale assessments of educational achievement (ICLSA) make use of "Rasch models", to address functions essential for valid cross-cultural comparisons. From a historical perspective, ICLSA and Georg Rasch's "models for measurement" emerged at about the same time, half a century ago. However, the…
Descriptors: Measures (Individuals), Test Theory, Group Testing, Educational Testing
Kiger, Derick M. – Florida Journal of Educational Administration & Policy, 2008
Public schools face raised performance expectations on group-administered achievement tests. In response, educators have implemented various preparation strategies to ready students. However, the research community largely ignores the impact of setting on test performance. This randomized field trial assesses whether or not there were significant…
Descriptors: Grade Point Average, Group Testing, Educational Environment, Statistical Significance