At present, although the percentages of students with disabilities (SDs) and/or students who are English language learners (ELL) excluded from a NAEP administration are reported, no statistical adjustment is made for these excluded students in the calculation of NAEP results. However, the exclusion rates for both SD and ELL students vary…

Large-scale educational assessments differ from familiar educational measurements by attempting to provide information about the levels and natures of skills in populations rather than in individuals. That the distinct purposes of assessment require different methodologies than individual measurement was recognized by the development of…

This paper discusses different perspectives associated with the use of multiple measures in educational assessment and explores some of the technical considerations for selecting and combining multiple measures. The paper concludes with an example of the use of multiple measures with regard to the recent No Child Left Behind (NCLB) Act of 2002.…

The effects of certain characteristics (e.g., sample design) of National Assessment of Educational Progress (NAEP) data on statistical analysis techniques are considered. Ignoring special features of NAEP data and proceeding with a standard analysis can produce inferences that underestimate the true variability and overestimate the true degrees of…

This study introduced a probabilistic model utilizing item response theory (IRT) for dealing with a variety of misconceptions. The model can be used for evaluating the transition behavior of error types, advancement of learning stages, or the stability and persistence of particular misconceptions. Moreover, it apparently can be used for relating…