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Mislevy, Robert J. – 1988
When using item response theory (IRT) models in educational and psychological measurement, it is standard practice to estimate the operating characteristics of test items from examinees' item responses alone. This is the final report of a project that employed Bayesian and empirical Bayesian methods to exploit additional information that is often…
Descriptors: Bayesian Statistics, Cognitive Processes, Educational Assessment, Estimation (Mathematics)
Johnson, Matthew S.; Sinharay, Sandip – 2003
For complex educational assessments, there is an increasing use of "item families," which are groups of related items. However, calibration or scoring for such an assessment requires fitting models that take into account the dependence structure inherent among the items that belong to the same item family. C. Glas and W. van der Linden…
Descriptors: Bayesian Statistics, Constructed Response, Educational Assessment, Estimation (Mathematics)
Phillips, Gary W.; Adcock, Eugene P. – 1997
Because public schools do not randomly assign students and teachers across schools (a methodological utopia), multilevel evaluation methods which account for student and school contextual and practice variables in their natural settings provide the most rigorous means for showing empirically what is actually happening in school classrooms.…
Descriptors: Academic Achievement, Bayesian Statistics, Educational Assessment, Elementary Secondary Education
Tobi, Hilde – 1990
This paper reviews the literature about item response models for the subject level and aggregated level (group level). Group-level item response models (IRMs) are used in the United States in large-scale assessment programs such as the National Assessment of Educational Progress and the California Assessment Program. In the Netherlands, these…
Descriptors: Bayesian Statistics, Comparative Analysis, Educational Assessment, Elementary Secondary Education


