Skip to main content
Log in

Identifying dyslexia in adults: an iterative method using the predictive value of item scores and self-report questions

  • Published:
Annals of Dyslexia Aims and scope Submit manuscript

Abstract

Methods for identifying dyslexia in adults vary widely between studies. Researchers have to decide how many tests to use, which tests are considered to be the most reliable, and how to determine cut-off scores. The aim of this study was to develop an objective and powerful method for diagnosing dyslexia. We took various methodological measures, most of which are new compared to previous methods. We used a large sample of Dutch first-year psychology students, we considered several options for exclusion and inclusion criteria, we collected as many cognitive tests as possible, we used six independent sources of biographical information for a criterion of dyslexia, we compared the predictive power of discriminant analyses and logistic regression analyses, we used both sum scores and item scores as predictor variables, we used self-report questions as predictor variables, and we retested the reliability of predictions with repeated prediction analyses using an adjusted criterion. We were able to identify 74 dyslexic and 369 non-dyslexic students. For 37 students, various predictions were too inconsistent for a final classification. The most reliable predictions were acquired with item scores and self-report questions. The main conclusion is that it is possible to identify dyslexia with a high reliability, although the exact nature of dyslexia is still unknown. We therefore believe that this study yielded valuable information for future methods of identifying dyslexia in Dutch as well as in other languages, and that this would be beneficial for comparing studies across countries.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Blomert, L., Mitterer, H., & Paffen, C. (2004). In search of the auditory, phonetic, and/or phonological problems in dyslexia: Context effects in speech perception. Journal of Speech Language and Hearing Research, 47, 1030–1047.

    Article  Google Scholar 

  • Blomert, L., & Willems, G. (2010). Is there a causal link from a phonological awareness deficit to reading failure in children at familial risk for dyslexia? Dyslexia, 16, 300–317.

    Article  Google Scholar 

  • Bosse, M.-L., Tainturier, M. J., & Valdois, S. (2007). Developmental dyslexia: the visual attention span deficit hypothesis. Cognition, 104, 198–230.

    Article  Google Scholar 

  • Castles, A., & Coltheart, M. (1993). Varieties of developmental dyslexia. Cognition, 47, 149–180.

    Article  Google Scholar 

  • De Groot, A. M. B., Dannenburg, L., & Van Hell, J. G. (1994). Forward and backward word translation by bilinguals. Journal of Memory and Language, 33, 600–629.

    Article  Google Scholar 

  • Hatcher, J., Snowling, M. J., & Griffiths, Y. M. (2002). Cognitive assessment of dyslexic students in higher education. British Journal of Educational Psychology, 72, 119–133.

    Article  Google Scholar 

  • Hazan, V., Messaoud-Galusi, S., & Rosen, S. (2009). Speech perception abilities of adults with dyslexia: Is there any evidence for a true deficit? Journal of Speech Language and Hearing Research, 52, 1510–1529.

    Article  Google Scholar 

  • Hensler, B. S., Schatschneider, C., Taylor, J., & Wagner, R. K. (2010). Behavioral genetic approach to the study of dyslexia. Journal of Developmental & Behavioral Pediatrics, 31, 525–532.

    Article  Google Scholar 

  • Kramer, D. & Vorst, H.C.M. (2007). Communicatievragenlijst voor de opsporing van dyslectische leerlingen. Amsterdam. Thesis (Dutch). University of Amsterdam, Department of Psychology.

  • Pohar, M., Blas, M., & Turk, S. (2004). Comparison of logistic regression and linear discriminant analysis: a simulation study. Metodološki, 1, 143–161.

    Google Scholar 

  • Ramus, F., & Ahissar, M. (2012). Developmental dyslexia: the difficulties of interpreting poor performance, and the importance of normal performance. Cognitive Neuropsychology, 29(1–2), 104–122.

    Article  Google Scholar 

  • Raven, J.C., Court, J.H., & Raven, J. (1979). A manual for Raven's Progressive Matrices and Vocabulary Tests. London: H.K. Lewis; San Antonio, Texas: The Psychological Corporation.

  • Richlan, F., Kronbichler, M., & Wimmer, H. (2011). Meta-analyzing brain dysfunctions in dyslexic children and adults. NeuroImage, 56, 1735–1742.

    Article  Google Scholar 

  • Saviour, P., Padakannaya, P., Nishanimutt, S., & Ramachandra, N. B. (2009). Familial patterns and biological markers of dyslexia. International Journal of Human Genetics, 9, 21–29.

    Google Scholar 

  • Scerri, T. S., & Schulte-Körne, G. (2010). Genetics of developmental dyslexia. European Child and Adolescent Psychiatry, 19, 179–197.

    Article  Google Scholar 

  • Schumacher, J., Hoffmann, P., Schmäl, c., Schulte-Körne, G., & Nöthen, M. (2007). Genetics of dyslexia: the evolving landscape. Journal of Medical Genetics, 44, 289–297.

    Article  Google Scholar 

  • Tops, W., Callens, M., Lammertyn, J., Van Hees, V., & Brysbaert, M. (2012). Identifying students with dyslexia in higher education. Annals of Dyslexia, 62, 186–203.

    Article  Google Scholar 

  • Van Strien, J. W. (1992). Classificatie van links- en rechtshandige proefpersonen. Nederlands Tijdschrift voor de Psychologie, 47, 88–92.

    Google Scholar 

  • Ziegler, J. C., Pech-Georgel, C., George, F., Alario, F.-X., & Lorenzi, C. (2005). Deficits in speech perception predict language learning impairment. Proceedings of the National Academy of Sciences of the United States of America, 102, 14110–14115.

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank Ineke van Osch for her help with the development of tests, Paul Brouwer and Nihayra Leona for their work and patience in programming many of our newly developed tests, and Jan Hoogeboom for his tremendous efforts in the processing of data.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter Tamboer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tamboer, P., Vorst, H.C.M. & Oort, F.J. Identifying dyslexia in adults: an iterative method using the predictive value of item scores and self-report questions. Ann. of Dyslexia 64, 34–56 (2014). https://doi.org/10.1007/s11881-013-0085-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11881-013-0085-9

Keywords

Navigation