In "Using Learning Progressions to Design Vertical Scales that Support Coherent Inferences about Student Growth" (hereafter ULR), Briggs and Peck suggest that learning progressions could be used as the basis of vertical scales with naturally benchmarked descriptions of student proficiency. They propose and provide a single example of a…

This article is a commentary of a paper by Derek C. Briggs and Frederick A. Peck, "Using Learning Progressions to Design Vertical Scales That Support Coherent Inferences about Student Growth," which describes an elegant potential framework for at least beginning to address three priorities in large-scale assessment that have not been…

This article discusses the theoretical underpinnings of different types of income poverty measures--absolute, relative, and a National Academy of Sciences (NAS) "quasi-relative" one--and empirically assesses them by tracking their performance over time and across demographic groups. Part of the assessment involves comparing these measures to…