It is one thing to produce an innovative, construct-based assessment task; it's another to produce 10 a year that are comparable in difficulty, measure the same competencies, are free of differential item functioning, and can be scaled and equated. These challenges contributed to the failure of the performance (or authentic) assessment movement of…

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…

Cynthia Coburn and Erica Turner have made an important contribution by developing a framework to synthesize the various strands of research and theory related to data use in schools. The framework illustrates the complexity of the pathways between the adoption of a data-use intervention and the attainment of desired outcomes, and it clarifies the…

Coburn and Turner (this issue) present an intriguing framework for understanding how data has come to be used in the current high accountability environments in education. In this framework, they connect various processes of data use within organizational and political contexts. Data use is presented using an ecological perspective that deepens…

The focus article by Coburn and Turner (this issue) seeks to provide a comprehensive framework for understanding data use in the context of data-use interventions. This commentary focuses on what the authors see as a glaring omission in what is otherwise a valuable framework: the issue of "useful data." It is their contention that the usefulness…