20/20 Analysis: taking a close look at the margins.

Abstract

This article presents "20/20 Analysis" as an experimental, output-oriented, noncategorical alternative to traditional approaches to identification of students for special education. 20/20 Analysis identifies students showing least (below 20th percentile) and most (above 80th percentile) progress toward important objectives of education in a school. The situation of each student in low 20% and high 20% groups is then examined as a basis for broad (noncategorical) approaches to improvement of learning opportunities. Case studies of two schools are present. Policy implications are considered briefly.