2012
DOI: 10.1007/s11881-012-0072-6
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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-Englis… Show more

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Cited by 46 publications
(49 citation statements)
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References 26 publications
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“…However, although the zero-order correlations are suggestive, they must be interpreted cautiously, as they do not take into account the shared variance between predictors. In order to more conclusively establish the robustness of SER, we conducted supplementary cross-validation techniques that are less likely to (spuriously) overestimate the amount of variance accounted for by SER (see Tops, Callens, Table 3 Correlations between predictor variables and standardized lexical-decision response times (RTs) for items in the English Lexicon Project (Balota et al, 2007) and the British Lexicon Project (Keuleers et al, 2012) Lammertyn, Van Hees, & Brysbaert, 2012). 4 In order to carry out cross-validation, the data set is first partitioned into a training set and a test (i.e., hold-back) set.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…However, although the zero-order correlations are suggestive, they must be interpreted cautiously, as they do not take into account the shared variance between predictors. In order to more conclusively establish the robustness of SER, we conducted supplementary cross-validation techniques that are less likely to (spuriously) overestimate the amount of variance accounted for by SER (see Tops, Callens, Table 3 Correlations between predictor variables and standardized lexical-decision response times (RTs) for items in the English Lexicon Project (Balota et al, 2007) and the British Lexicon Project (Keuleers et al, 2012) Lammertyn, Van Hees, & Brysbaert, 2012). 4 In order to carry out cross-validation, the data set is first partitioned into a training set and a test (i.e., hold-back) set.…”
Section: Resultsmentioning
confidence: 99%
“…In line with Tops et al (2012), we relied on a resampling technique called tenfold cross-validation (Kuhn, 2008), wherein the data set is partitioned into ten folds (i.e., nine folds are used for training and one for testing in each iteration). Using R (R Development Core Team, 2011), we built separate predictive models based on the ELP (speeded naming and lexical decision) and BLP (lexical decision) data, using the resampling-based recursive feature elimination algorithm in the caret package (Kuhn, 2012).…”
Section: Resultsmentioning
confidence: 99%
“…Thus, one possibility is that adults with dyslexia continue to have a deficit in word recognition and parallel processing of graphemes (Ben-Dror, Pollatsek, & Scarpati, 1991;Booth, Perfetti, McWhinney, & Hunt, 2000;Hanley, 1997;Shany & Breznitz, 2011;Taroyan & Nicolson, 2009). Moreover, they do not appear to benefit from context because they are also slower at reading texts (Szenkovits & Ramus, 2005;Tops, Callens, Lammertyn, Van Hees, & Brysbaert, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, two recent studies in Dutch with a large number of participants were published Tops et al, 2012). Callens et al (2012) examined the possibility of generalising the findings found in English by Hatcher et al (2002) to Dutch, a more transparent language.…”
Section: Introductionmentioning
confidence: 99%
“…These students face different learning constraints and develop different strategies and mechanisms for coping with difficulties [4], often struggle with low self-esteem and psychological problems [5], and have a bad image of themselves and a higher level of ascension [6], a higher level of loneliness [7], and a lower level of hope in education than students without difficulty [8]. Research indicates that early screening difficulties at the beginning of the study have long-term positive impacts on learning, confidence, and future academic success [9] and long-term perspective of employability.…”
Section: Introductionmentioning
confidence: 99%