The amount of data available in the context of educational measurement has vastly increased in recent years. Such data are often incomplete, involve tests administered at different time points and during the course of many years, and can therefore be quite challenging to model. In addition, intermediate results like grades or report cards being…

This paper defines Bayesian network models and examines their applications to IRT-based cognitive diagnostic modeling. These models are especially suited to building inference engines designed to be synchronous with the finer grained student models that arise in skills diagnostic assessment. Aspects of the theory and use of Bayesian network models…

An overview is given of the consensus process for development of the frameworks underlying the National Assessment of Educational Progress (NAEP) assessments, with emphasis on those for the 1990 and 1992 mathematics assessments, the 1992 reading assessment, and the 1994 science assessments. Innovative techniques for 1992 are described. (SLD)