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ACQ

Volume 11, Number 2 2009

127

primary-school aged children. Drawing information from

current research, the authors provide three hypotheses to

explain the relationship between academic difficulties and

behaviour problems. The first is that attention problems may

cause problem behaviours as well as have a negative impact

on learning. The second hypothesis is that problems

behaviours often reduce access to educational instruction

and disrupt learning. The third hypothesis concerns

behavioural function and purports that a student’s low

academic skills may lead to problem behaviour for the

purpose of escaping academic tasks. The study examined

the third hypothesis with research questions focusing on the

function of problem behaviours.

Fifty-one students in grades 4–6 participated in the

study. All of the students had had two or more office

discipline referrals (e.g., for showing disrespect, harassment,

vandalism, lying, or fighting) during the school year. A

functional behavior assessment (FBA) was conducted

using the FBA Interview-Teacher (FIT) tool. A curriculum-

based measure of reading was used to assess reading

competency. The results revealed distinct groups of

students. Those with problem behaviour with the function

of maintaining peer attention had above average reading

fluency scores and those students with problem behaviour

with the function of escaping academic tasks had mean

fluency scores well below the average range. The study

had limitations in that the sample size was small and the

results may not extend to populations that are significantly

different from the study participants. The results of the study,

however, have important clinical implications and support

the evaluation of reading fluency and the use of the FBA as

an effective and recommended assessment for use with

students with chronic behaviour problems. It also highlights

that intervention for problem behaviours needs to have

different components based on the identified function of the

problem behaviour.

The neurobiology of reading and dyslexia.

Shaywitz, S.E., & Shaywitz, B.A. (2008). Paying attention to

reading: The neurobiology of reading and dyslexia.

Development and Psychopathology

,

20

(4), 1329–1349.

Andrea Murray

As reflected in the title, this article examines current theories

and practices relating to reading and reading difficulties. It

outlines the processes that take place during reading,

explores the mechanisms necessary for the acquisition of

reading skills, and examines the different definitions and

theories of dyslexia. The paper also discusses the

neurobiology of reading and dyslexia and explores the

neurobiological commonalities that exist between attention

difficulties and reading difficulties.

The use of functional magnetic resonance imaging

(fMRI) has provided consistent and replicable data on

the location of the neural systems for reading. It has also

enabled comparisons to be made between the neural

systems of dyslexic readers and unimpaired readers with

converging evidence now supporting what has been termed

a “neural signature” for dyslexia. These findings have been

consistent across cultures and demonstrate a disruption

of the posterior neural systems serving reading. It has

been widely established that in dyslexic readers there are

disrupted posterior reading systems in the pariotemporal

and occipitotemporal areas but that compensatory systems

focused on the link between RAN and reading, with the

RAN-spelling relationship receiving much less attention and

being confounded by the use of non-word reading skills as

an additional research variable (as opposed to non-word

spelling).

The authors believe that RAN reflects a capacity to

accurately store a word’s orthographic information. In

English, there is a higher percentage of inconsistency when

writing down different forms of the same sound (i.e., the

vowel sound in: new vs. shoe) than when pronouncing

different forms of the same spelling (leaf vs. deaf), leaving

many to conclude that spelling is in fact a more difficult task

than reading.

The experiment involved the use of regression analysis to

investigate the extent in which different factors contribute to

reading and spelling skills. Factors included: age, non-verbal

abilities, phonological processing (non-word reading and

spelling tasks), and the four RAN tasks (digit naming, letter

naming, colour naming and object naming). The design of

the experiment is unique in that it looks at the effect of the

RAN tasks over and above phonological processing skills.

A sample of 65 children (7–13 years) with reading and

spelling difficulties were tested for this study. The research

set out to answer the following questions: 1) is RAN a

predictor of spelling abilities (when controlling for all other

factors listed above), 2) is this relationship specific to

alphanumeric RAN tasks (digit and letter naming), and 3) is

RAN also a predictor of reading ability?

Results showed strong correlations between performance

on non-word reading and spelling tasks and performance

on real word reading and spelling tasks. It was also found

that spelling and reading ability was strongly correlated with

alphanumeric RAN tasks, but not those involving the naming

of objects or colours.

Phonological processing skills (non-word reading and

spelling) predicted a large amount of variance in both reading

and spelling scores. After this was taken into account,

the alphanumeric RAN tasks (digit and letter naming) still

accounted for significant proportions of the variance in

spelling scores, and the letter naming task was a modest

predictor of reading ability.

Non-word reading and spelling tasks can be used to test

one’s ability to read and spell “exception” words. RAN can

measure a child’s capacity to learn “exception” words by

matching word-specific phonological labels to orthographic

forms, rather than using general rules. The implications of

this research include the need to consider rapid automatic

naming as an assessment tool in your literacy test battery,

and more importantly, to consider digit and letter naming

as likely predictors of reading and spelling skills. In addition,

investigating a child’s explicit decoding abilities through non-

word tasks is also essential, given the strong association

between phonological processing and literacy shown in this

study.

Exploring the links between problem behaviour and

reading difficulties.

McIntosh, K., Horner, R.H., Chard, D.J.,

Dickey, C.R., & Braun, D.H. (2008). Reading skills and

function of problem behavior in typical school settings.

Journal of Special Education

,

42

(3), 131–147.

Andrea Murray

The study described in this article aimed to explore the links

between problem behaviour and reading difficulties in