Educational testing has been criticized for its disconnect from modern cognitive science and its limited role in improving instruction and student learning. Reform efforts emphasize the need for testing to provide specific diagnostic insights into students' skills and knowledge. Cognitive diagnosis (CD), an emerging paradigm in educational…

This paper presents a framework to provide a structured approach for developing score reports for cognitive diagnostic assessments ("CDAs"). Guidelines for reporting and presenting diagnostic scores are based on a review of current educational test score reporting practices and literature from the area of information design. A sample diagnostic…

Traditional comparisons of test score means identify group differences in broad academic areas, but fail to provide substantive description of how the groups differ on the specific cognitive attributes required for success in the academic area. The rule space method (RSM) allows for group comparisons at the cognitive attribute level, which…

Placement exams are high-stakes assessments that determine many students' college trajectories. More than half of entering students at community colleges are placed into developmental education in at least one subject, based primarily on scores from these assessments, yet recent research fails to find evidence that placement into remediation…

Given the relatively high intercorrelations observed between mathematics achievement, reading achievement, and cognitive ability, it has recently been claimed that student assessment studies (e.g., TIMSS, PISA) and intelligence tests measure a single cognitive ability that is practically identical to general intelligence. The present article uses…

This study examines whether MidYIS and YELLIS cognitive ability tests (CATs) are appropriate methods for the identification of giftedness in Design and Technology. A key rationale for the study was whether CATs and able to identify those students with the aptitudes considered of importance to identifying giftedness in Design and Technology and…

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…