A Risk Index to Predict Learning Problems in Preterm and Full-Term Children

  • Linda S. Siegel
Chapter
Part of the Topics in Developmental Psychobiology book series (TDP)

Abstract

Learning problems, that is, significant difficulties in one or more school subjects in spite of normal intelligence, are estimated to exist in 10% to 16% of the population (Gaddes, 1976), and as such are an important problem for those concerned with the physical and mental health of children. Early prediction of learning difficulties would be useful, for remediation could be provided at a time when it is likely to be most effective and less costly. Existing systems of prediction of problems have been very complex, have failed to provide information about an individual child, or have been used only with infants and not children of school age (Broman, Nichols, & Kennedy, 1975; Caputo, Taub, Goldstein, Smith, Dalack, Pursner, & Siberstein, 1974; Field, Hallock, Ting, Dempsey, Dabiri, & Shuman, 1978; Littman & Parmelee, 1978; Ramey, Stedman, Borders-Patterson, & Mengel, 1978; Smith, Flick, Ferriss, & Sellman, 1972).

Keywords

Risk Index Preterm Child Infant Test Peabody Picture Vocabulary Test Visual Motor Integration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1985

Authors and Affiliations

  • Linda S. Siegel
    • 1
  1. 1.Department of Special EducationOntario Institute for Studies in EducationTorontoCanada

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