Diagnostic classification models (DCMs) classify examinees based on the skills they have mastered given their test performance. This classification enables targeted feedback that can inform remedial instruction. Unfortunately, applications of DCMs have been criticized (e.g., no validity support). Generally, these evaluations have been brief and…

Much has been written about gifted students with learning disabilities, but there have been few large-scale empirical investigations, and the concept has proven controversial. The authors reviewed the available empirical literature on these students, focusing on (a) the criteria by which the students were identified and (b) the students'…

Examination of the role of psychometrics in the development of multiple-choice tests and performance-based assessments and consideration of validity and reliability issues leads to this conclusion: Choice of assessments for instruction or large-scale accountability depends on which is more appropriate for the particular purposes. Taxonomic…

This paper reviews issues surrounding the use of discrepancy in identifying learning disabilities. Since 1976, it argues, discrepancy has been the primary criterion for defining learning disabilities in practice. In a psychometric and statistical sense, however, issues about the best means for calculating a discrepancy remain problematic. Another…

This executive summary discusses the definition of learning disabilities (LD) and how students are identified as having a learning disability. It begins by outlining four major methods that are used to compute the discrepancy-based definition of LD and the flaws of the discrepancy-based model. It then describes an approach to defining LD that is…