On an Application of Statistical Ranking and Selection Tables to the Identification of the Learning Disabled

Milton Sobel and Eve Kelemen

Journal of Educational and Behavioral Statistics, 1984, vol. 9, issue 3, 215-226

Abstract: The statistical consequences of giving a student more than one achievement test to determine whether he or she is learning disabled (LD) is discussed. The standard rule is based on one achievement (and one intelligence) test so that if several of the former (say, b ) are taken and the lowest score is used, there will be a discrepancy between the proportion of students that are actually labeled LD and the proportion we would originally expect. Ranking and selection tables are used in this paper in a dual manner: (a) to find the expected proportion of LD students as a function of the cut-off point for different values of b and different correlation structures, and (b) to find the appropriate cut-off point as a function of the given expected proportion of LD students. The appropriate table for problem (a) is included.

Keywords: Ranking and selection; cut-off scores; identification of learning disabled; multivariate analysis with single integrals; special education classification (search for similar items in EconPapers)
Date: 1984
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:9:y:1984:i:3:p:215-226

DOI: 10.3102/10769986009003215

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