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01 NRDC Dyslexia 1-88 update - Texthelp

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Developmental dyslexia in adults: a research review 33<br />

Do ‘dyslexics’ and ‘non-dyslexics’ differ in kind or in degree?<br />

The statistical evidence<br />

It might be thought that all the analysis above points to the conclusion that dyslexics and nondyslexics<br />

differ in degree rather than kind. The question whether ‘dyslexics’ differ in kind<br />

(categorically) or in degree (dimensionally) from ‘non-dyslexics’ remains nevertheless one of<br />

the most controversial in this field (Ellis, 1985; Fletcher et al., 1994; Fredman & Stevenson,<br />

19<strong>88</strong>; Frith, 20<strong>01</strong>; Jorm et al., 1986b; Rutter, 1978; Share et al., 1987; Tyler & Elliott, 19<strong>88</strong>; van<br />

der Wissel & Zegers, 1985). It may be a question that is best answered by reference to<br />

complex models of reading development (e.g. Ellis & Large, 1987; Jackson & Coltheart, 20<strong>01</strong>;<br />

and Stanovich, 19<strong>88</strong>).<br />

It is important to specify whether the ‘non-dyslexics’ in the comparison group are good<br />

readers or ‘ordinary’ poor readers. Much confusion appears to derive from failure to provide<br />

this specification. The critical question in dyslexia research is not whether dyslexic people in<br />

particular differ from ‘normal’ readers, neither is it how ‘poor’ readers in general differ from<br />

“normal” readers. It is whether dyslexic people differ from other poor readers. Yet the<br />

designs of many research studies leave this last question open. To test the hypotheses that<br />

developmental dyslexics differ from both normal readers and ‘ordinary’ poor readers,<br />

researchers need two control groups, not one. They also need to take both psychometric and<br />

demographic measures, so that they can control for the effects of potentially confounding<br />

variables. Without those controls, the effects of dyslexia are likely to be confounded with those<br />

of conditions explicitly excluded from the concept of dyslexia (Chiappe et al., 20<strong>01</strong>).<br />

In the Isle of Wight study, the presence of two categorically distinct traits in reading ability<br />

was suggested by a bimodal distribution of reading ability—one with two peaks or humps, like<br />

a Bactrian camel (Yule et al., 1974). However, while such a distribution might be interpreted<br />

as evidence for a discrete phenomenon of specific reading difficulty it cannot be interpreted<br />

as evidence for a genetically distinct syndrome of dyslexia, since methods of teaching as well<br />

as biological differences could create a bimodal distribution (Rutter & Yule, 1975).<br />

No evidence for a bimodal distribution in reading ability was found in the Child Health and<br />

Education Study of the 1970 birth cohort (Rodgers, 1983), although the same data-set has<br />

been analysed to investigate—but, as the investigators made clear, not to determine—the<br />

prevalence of dyslexia (Miles et al., 1993). The Child Health and Education Study findings are<br />

tentative with respect to both the lack of consensus for the criteria by which the dyslexic<br />

cohort members were identified and also the uncertain sensitivity and specificity of the<br />

chosen method of identification (Haslum, 1989).<br />

By contrast, in the Connecticut study, a unimodal distribution—with a single peak or hump,<br />

like a dromedary—suggested that reading ability is a single, dimensionally-distributed trait in<br />

the population and that ‘dyslexics’ are those at the lower end of the continuum, not a discrete<br />

group (Shaywitz et al., 1992). However, the logic of this interpretation has been questioned on<br />

the ground that, although a dip in the observed distribution implies a mixture of underlying<br />

processes, the converse does not necessarily hold. What is more, the failure to find a dip<br />

could be due to both the obscuring effects of measurement error (Abelson, 1995) and the<br />

presence of a few etiologically distinct factors (Pennington et al., 1992) one of which might be<br />

rapid naming ability (Meyer et al., 1998; Wood & Grigorenko, 20<strong>01</strong>).

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