title: 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.
authors: University of Minnesota.
authors: M C
authors: MC
authors: Reynolds
authors: A G
authors: AG
authors: Zetlin
authors: M C
authors: MC
authors: Wang
mesh_terms: D002648:Child; D006233:Persons with Disabilities / Q000331:legislation & jurisprudence* / Q000523:psychology; D004519:Education, Special / Q000331:legislation & jurisprudence*; D004522:Educational Status; D004608:Eligibility Determination / Q000331:legislation & jurisprudence*; D006801:Humans; D007859:Learning Disabilities / Q000145:classification / Q000175:diagnosis* / Q000523:psychology