Identifying students with dyslexia in higher education

Abstract

An increasing number of students with dyslexia enter higher education. As a result, there is a growing need for standardized diagnosis. Previous research has suggested that a small number of tests may suffice to reliably assess students with dyslexia, but these studies were based on post hoc discriminant analysis, which tends to overestimate the percentage of systematic variance, and were limited to the English language (and the Anglo-Saxon education system). Therefore, we repeated the research in a non-English language (Dutch) and we selected variables on the basis of a prediction analysis. The results of our study confirm that it is not necessary to administer a wide range of tests to diagnose dyslexia in (young) adults. Three tests sufficed: Word reading, word spelling, and phonological awareness, in line with the proposal that higher education students with dyslexia continue to have specific problems with reading and writing. We also show that a traditional postdiction analysis selects more variables of importance than the prediction analysis. However, these extra variables explain study-specific variance and do not result in more predictive power of the model.

An increasing number of students with dyslexia enter higher education. As a result, there is a growing need for standardized diagnosis. Previous research has suggested that a small number of tests may suffice to reliably assess students with dyslexia, but these studies were based on post hoc discriminant analysis, which tends to overestimate the percentage of systematic variance, and were limited to the English language (and the Anglo-Saxon education system). Therefore, we repeated the research in a non-English language (Dutch) and we selected variables on the basis of a prediction analysis. The results of our study confirm that it is not necessary to administer a wide range of tests to diagnose dyslexia in (young) adults. Three tests sufficed: Word reading, word spelling, and phonological awareness, in line with the proposal that higher education students with dyslexia continue to have specific problems with reading and writing. We also show that a traditional postdiction analysis selects more variables of importance than the prediction analysis. However, these extra variables explain study-specific variance and do not result in more predictive power of the model.

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