Annals of Dyslexia

, Volume 61, Issue 1, pp 1–20

Multivariate predictive model for dyslexia diagnosis

  • Guylaine Le Jan
  • Régine Le Bouquin-Jeannès
  • Nathalie Costet
  • Nolwenn Trolès
  • Pascal Scalart
  • Dominique Pichancourt
  • Gérard Faucon
  • Jean-Emile Gombert
Article

DOI: 10.1007/s11881-010-0038-5

Cite this article as:
Le Jan, G., Le Bouquin-Jeannès, R., Costet, N. et al. Ann. of Dyslexia (2011) 61: 1. doi:10.1007/s11881-010-0038-5

Abstract

Dyslexia is a specific disorder of language development that mainly affects reading. Etiological researches have led to multiple hypotheses which induced various diagnosis methods and rehabilitation treatments so that many different tests are used by practitioners to identify dyslexia symptoms. Our purpose is to determine a subset of the most efficient ones by integrating them into a multivariate predictive model. A set of screening tasks that are the most commonly used and representative of the different cognitive aspects of dyslexia was proposed to 78 children from elementary school (mean age = 9 years ± 7 months) exempt from identified reading difficulties and to 35 dyslexic children attending a specialized consultation for dyslexia. We proposed a multi-step procedure: within each category, we first selected the most representative tasks using principal component analysis and then we implemented logistic regression models on the preselected variables. Spelling and reading tasks were considered separately. The model with the best predictive performance includes eight variables from four categories of tasks and classifies correctly 94% of the children. The sensitivity (91%) and the specificity (95%) are both high. Forty minutes are necessary to complete the test.

Keywords

DiagnosisDyslexiaLogistic regressionMultivariate analysisPredictive model

Copyright information

© The International Dyslexia Association 2010

Authors and Affiliations

  • Guylaine Le Jan
    • 1
    • 2
  • Régine Le Bouquin-Jeannès
    • 1
    • 2
  • Nathalie Costet
    • 1
    • 2
  • Nolwenn Trolès
    • 3
  • Pascal Scalart
    • 4
  • Dominique Pichancourt
    • 5
  • Gérard Faucon
    • 1
    • 2
  • Jean-Emile Gombert
    • 3
  1. 1.INSERM, U 642RennesFrance
  2. 2.Université de Rennes 1, LTSIRennesFrance
  3. 3.Université de Rennes 2CRPCCRennesFrance
  4. 4.IRISA/ENSSATLannion CedexFrance
  5. 5.Service MPR Pédiatrique du Centre Hospitalier Lannion-TrestelTrévou-TréguignecFrance