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This article was downloaded by: [Universitat Politècnica de València]On: 25 October 2014, At: 03:57Publisher: RoutledgeInforma Ltd Registered in England and Wales Registered Number: 1072954 Registeredoffice: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK
Child Neuropsychology: A Journal onNormal and Abnormal Development inChildhood and AdolescencePublication details, including instructions for authors andsubscription information:http://www.tandfonline.com/loi/ncny20
Visual-Sequential and Visuo-SpatialSkills in Dyslexia: Variations Accordingto Language Comprehension andMathematics SkillsTurid Helland & Arve Asbj⊘rnsenPublished online: 09 Aug 2010.
To cite this article: Turid Helland & Arve Asbj⊘rnsen (2003) Visual-Sequential and Visuo-SpatialSkills in Dyslexia: Variations According to Language Comprehension and Mathematics Skills, ChildNeuropsychology: A Journal on Normal and Abnormal Development in Childhood and Adolescence,9:3, 208-220
To link to this article: http://dx.doi.org/10.1076/chin.9.3.208.16456
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Child Neuropsychology 0929-7049/03/0903-208$16.002003, Vol. 9, No. 3, pp. 208–220 # Swets & Zeitlinger
Visual-Sequential and Visuo-Spatial Skills in Dyslexia:Variations According to Language Comprehension
and Mathematics Skills
Turid Helland1,3 and Arve Asbjørnsen2,3
1Institute of Special Education, University of Oslo, Norway, 2Institute of Psychosocial Science,University of Bergen, Norway, and 3Centre for Logopedics, Eikelund Resource Centre, Bergen, Norway
ABSTRACT
This study focused on visual-sequential and visuo-spatial functions in a group of 39 heavily dyslexic children,compared to a Control group. Mean age was 12.72 (SD 1.71). The dyslexia group was divided into threesubgroups by language comprehension and mathematics skills. Only on a visual-sequential task was nodifference seen between the groups. The main differences occurred between the two dyslexic subgroups with nolanguage comprehension impairment, but with varying mathematics skills. Whereas the subgroup with goodmathematics skills scored within the upper ranges, the mathematics-impaired subgroup showed significantlylower scores. The third dyslexic subgroup, with both language comprehension and mathematics impairments,performed within the norm. The study indicates a dissociation between language comprehension and visuo-spatial skills in dyslexia, which has implications for how variations in dyslexia should be understood. The resultsalso show that the visuo-spatial impairments seen in one of the dyslexia subgroups lead to two ways ofunderstanding mathematics impairment when it co-occurs with dyslexia: (1) as a visuo-spatial problem; (2) as alinguistic problem. These distinctions should imply different intervention strategies in dyslexia.
This study focused on visual-sequential and visuo-
spatial skills in dyslexia. According to the defini-
tion by the British Dyslexia Association (1998),
dyslexia is a constitutional, complex neurological
condition. The symptoms of dyslexia are related to
mastering of written language, but related skills
such as oral language, numeracy, notational and
organisational skills may be affected. Since oral
language and numeracy are basic to academic
performance, these two symptoms were selected as
independent variables in order to assess possible
variations in visual skills in a group of dyslexic
children.
Earlier, dyslexia was mainly considered a
visual impairment, cp. Morgan’s (1896) and
Hinshelwood’s (1917) concept ‘‘wordblindness’’,
or Orton’s concept ‘‘strephosymbolia’’ (Orton,
1937). Later, dyslexia was defined by modality
impairment as auditory, visual or a combination
of the two (Boder, 1968; Gjessing, 1986). During
the last 30 years dyslexia has typically been
defined as a phonological disorder, with reduced
emphasis on the visual aspects (see Liberman,
1973; Liberman, Shankweiler, Fischer, & Carter,
1974; Snowling, 1987, 1996; Vellutino, 1979; for
reviews). Today, there seems to be a consensus
that impaired phonological processing cannot
explain all variations in dyslexia. This has led to
an increasing interest in visual skills in dyslexia
(see i.e. Stein, 2003; Stein & Walsh, 1997). No
study to date has compared visual performance in
dyslexic children with and without language
Address correspondence to: Turid Helland, Centre for Logopedics, Eikelund Resource Centre, Postboks 6039,Postterminalen, 5892 Bergen, Norway. E-mail: [email protected] for publication: March 1, 2003.
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impairment and with and without mathematics
impairment.
Pre-school speech or language impairment has
been reported in dyslexic subjects (Snowling,
1996). According to Bishop (1997), Specific
Language Impairment (SLI) is diagnosed ‘‘where
there is a failure of normal language development
that cannot be explained in terms of mental or
physical handicap, hearing loss, emotional disor-
der or environmental deprivation’’ (p. 23). The
language difficulties interfere with academic or
occupational achievement or with social com-
munication, as described in diagnostic features
of developmental Mixed Receptive-Expressive
Language Disorder (DSM-IV, 1994). Korkman and
Hakkinen-Rihu (1994) found that among children
with developmental language disorders, deficits in
receptive and naming functions and impairment
in comprehension of complex verbal instructions
were valid predictors of spelling problems.
Bishop (1997) refers to several studies of
inattentiveness to phonology, morphology, syntax,
and semantics in children with SLI, transcending
into subtle and not easily detectable pragmatic and
discursive deficits in some older SLI children. As
many as 53% of reading-retarded children and of
SLI children could be equally classified as being
reading-retarded or having an SLI (McArthur,
Hogben, Edwards, Heath, & Mengler, 2000).
The incidence of Mixed Receptive-Expressive
Language Disorders in school-age children is
estimated at 3% (DSM-IV, 1994). The diagnostic
features of this disorder should be comparable to
the subtypes at risk for developmental dyslexia, as
described by Korkman and Hakkinen-Rihu
(1994). In brief, milder language comprehension
impairment should be seen in some older dyslexic
children, indicating unresolved language impair-
ment and a variation of aetiologies and outcomes
of dyslexia.
Mathematics is often called the ‘‘silent’’ sub-
ject, meaning that classroom activities are fre-
quently left to individual work. The subject’s
building-block structure makes the distinction
between success and failure dramatic compared
to other school subjects (Miller & Mercer, 1997).
A number of different realms are potential areas of
difficulty in mathematics: directional confusion,
sequencing problems, visual perceptual problems,
spatial awareness, short term or working memory
problems, long-term memory, linguistic abilities,
conceptual ability and cognitive style (Chinn &
Ashcroft, 1993; Miles & Miles, 1992).
‘‘Impairment of mathematical skills’’ refers to
a wide range of skills essential to mathematics,
such as linguistic skills, while ‘‘dyscalculia’’,
means ‘‘difficulty with calculation’’ (Miles,
1992). Malmer (2000) found that frequency esti-
mates of dyscalculia in the population vary from
a few percent up to 15%, reflecting a lack of
definitional agreement. In the present study, the
term ‘‘mathematics impairment’’ was used, and
defined in accordance with the DSM-IV (1994,
Mathematics Disorder) if (a) mathematics ability,
as measured by individually administered
standardised tests, is substantially below that
expected, given the person’s chronological age,
measured intelligence, and age-appropriate
education; (b) the disturbance in criterion (a) sig-
nificantly interferes with academic achievement
or activities of daily living that require mathe-
matics ability. Comorbidity of dyslexia and
mathematics impairment is described in sev-
eral studies, with reported frequencies of
mathematics-impaired pupils in dyslexic samples
varying from 30% to 50% (Macaruso & Sokol,
1998; Ostad, 1998).
The very nature of mathematics, as an abstract,
accurate and exact science, puts high demands on
a child’s attention, working memory and execu-
tive functions. Verbal working memory plays a
crucial role in supporting children’s mental arith-
metic (Adams & Hitch, 1998), and deficiencies in
working memory are seen in mathematics learn-
ing disabled individuals (Macaruso & Sokol,
1998). Components of Baddeley’s working mem-
ory model of the ‘‘Central Executive’’ and its
two slave systems, the ‘‘Phonological Loop’’ and
the visual ‘‘Sketchpad’’, may be employed in
mental arithmetic (Ashcraft, 1995). The ‘‘Central
Executive’’ is responsible for the retrieval of basic
fact knowledge and executing retrieved proce-
dural knowledge, while the actual calculation is
carried out by the ‘‘Phonological Loop’’. This
indicates a close relationship between mental
arithmetic and language processing, which is in
accordance with the original model of working
memory, claiming that speed of articulation is
VISUAL SKILLS IN DYSLEXIA 209
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related to memory span (Baddeley & Hitch,
1974).
Research on the role of the ‘‘Sketchpad’’ in
mathematics skills is essentially non-existent
(Ashcraft, Kirk, & Hopko, 1998). However, one
may speculate on how visual-sequential and
visuo-spatial assets and deficits affect the perfor-
mance of paper-and-pencil calculation and geo-
metry tasks. Also, one may wonder what role
the ‘‘Sketchpad’’ may play if the ‘‘Phonological
Loop’’ is impaired; or, conversely, what role the
‘‘Phonological Loop’’ may play if the ‘‘Sketch-
pad’’ is impaired. The two slave systems are by
definition mutually independent, but they interact
through the ‘‘Central Executive’’. In concordance
with the more general view of dyslexia as an
automatisation deficit disorder (Nicolson &
Fawcett, 1993, 1994; Tallal, Galaburda, Llinas,
& von Euler, 1993), both components may be
impaired, leaving the total resources of the
‘‘Central Executive’’ low. This may explain
the variations found in dyslexic children,
where impaired language comprehension skills
accounted for low scores on executive functions
(Helland & Asbjørnsen, 2000), and impaired
mathematics skills were associated with impaired
verbal working memory (Helland & Asbjørnsen,
in press).
However, the impact of visual working
memory in language processing (Gathercole &
Baddeley, 1993) and mathematics skills (Ashcraft
et al., 1998) remains unclear. Farah (2000) refers
to several functional imaging studies (ERP, PET,
fMRI) showing dominant left temporo-occipital
activation in letter and word imagery tasks, indi-
cating a close link between visual perception,
visual cognition, and visual imagery. Impairment
within any of these visual functions should affect
reading and writing performance. Hence, ortho-
graphic visual retention, or imagery, needed for
spelling should be disturbed accordingly, espe-
cially in words with little grapheme/phoneme
correspondence. In sorting out the different
spellings of the phoneme /k/ in ‘‘ski’’, ‘‘school’’,
‘‘cake’’, ‘‘Cox’’, ‘‘square’’, phonemic awareness
is a necessary, but not sufficient, prerequisite.
Correct spelling of these words should claim
either stable visual imagery for orthography, or
sophisticated meta-knowledge of orthography.
Impaired temporo-occipital activation could there-
fore lead to, for example, spelling impairments.
The line of argumentation in this study is that
visual functions in dyslexia should be assessed in
connection with language comprehension and
mathematics skills. Although it is not clear what
the different components of visual-sequential and
visuo-spatial abilities are, their processing must
include encoding, storage and retrieval (Baddeley,
1986), and one can mainly infer processes
of encoding and storage from how a subject
retrieves. The visual tasks most often applied
demand retrieval (immediate or delayed) and/or
organising of either visual sequences (figures
or pictures) or visuo-spatial figures (concrete or
abstract). In this study visual tasks used in estab-
lished clinical tests were applied.
The dyslexia group was divided into subgroups
by language comprehension skills and mathe-
matics skills. No differences were expected
between the dyslexic subgroups as to visuo-
sequential tasks. However, subgroup differences
were expected in the visuo-spatial tasks, with (1)
normal performance where no language compre-
hension or mathematical impairment was seen;
(2) impaired performance where normal language
comprehension skills, but mathematics impair-
ment was seen; (3) normal performance where
impaired language comprehension, but no mathe-
matics impairment was seen; (4) impaired perfor-
mance where both language comprehension and
mathematics impairment were seen. However, if
no visual impairments were seen in conditions (3)
and (4), the mathematics impairment scores in (4)
should be explained by language impairment,
rather than by a visual deficit.
METHOD
ParticipantsThe dyslexia group consisted of 39 dyslexic subjectsfrom 39 different Norwegian schools. The subjects hadoriginally been referred to their local school psychol-ogy agencies for assessment and counselling. Thosewith very low skills in reading and/or writing, or witha lack of response to remediation, were subsequentlyreferred to a regional logopedic clinic, where thepresent study was conducted. The subjects includedin the study were those diagnosed with ‘‘dyslexia’’ in
210 TURID HELLAND & ARVE ASBJØRNSEN
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Table 1. Baseline Data.
Group One-way ANOVA
(C) Control,(n¼ 20)
(1) Lþ(n¼ 13)
(2) Lþ/M�(n¼ 10)
(3) L�(n¼ 16)
F, p Follow up test
Ratio, M/F 13/7 9/4 8/2 16/0Writing hand, right/left 19/1 10/3 8/2 13/3Pre-school LI; no/yes 20/0 10/3 4/6 5/11Age (SD) 12.2 (0.4) 13.1 (1.5) 13.2 (1.7) 12.1 (1.8) 2.610, n.s. –Single word reading (SD) n.a. �2.9 (1.9) �2.7 (2.1) �3.2 (2.0) 0.197, n.s. –Single word spelling (SD) n.a. �1.7 (1.3) �2.9 (1.4) �3.1 (1.8) 3.328, p¼ .05 (1) vs. (3)�Silent reading (SD) 160.40 (23.94) 58.23 (21.43) 68.67 (44.65) 46.80 (36.95) 51.050, p< .001 (C) vs. (1)–(3)���Spelling errors (SD) 2.25 (2.83) 13.18 (4.26) 15.75 (4.17) 15.00 (4.54) 41.224, p< .001 (C) vs. (1)–(3)���Colour naming (SD) 34.36 (4.90) 40.58 (8.00) 44.06 (8.39) 63.02 (32.66) 7.424, p¼ .001 (C), (1) vs. (3)��VIQ (SD) 109.90 (11.96) 89.92 (11.88) 85.90 (14.54) 82.81 (14.04) 15.677, p< .001 (C) vs. (1)–(3)���PIQ (SD) 111.37 (13.13) 105.54 (15.08) 85.50 (16.91) 93.75 (12.09) 9.621, p< .001 (C) vs. (2), (3)� (1) vs. (2)��
Note. LI: language impairment. Single word reading, Single word spelling, from Aston Index (Newton & Thomson, 1976): grade score below attended grade. Silentreading (Carlsten, 1982); words per minute. Spelling errors on sentence dictation (Carlsten, 1982): number of errors in five sentences; Colour naming; secondsused on 48 items, from Stroop Colour Word Test (Lund Johansen, Hugdahl, & Wester, 1996); Dyslexia subgroups: see text. F and p values for one-wayANOVA with group (4: C, Lþ, Lþ/M�, L�) by tasks; p for follow up test (Tukey’s HSD): �p< .05; ��p< .01; ���p< .001.
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accordance with the definition provided by the BritishDyslexia Association (1998). All dyslexic participantshad received all of their schooling in Norway. Subjectsshowing signs of any other impairments (ADHD,various syndromes, neurological impairment, impairedsight or hearing) were excluded. In addition, thedyslexic subjects were required to be within the normalrange of intelligence as defined by full scale IQ> 70(DSM-IV, 1994), with either VIQ> 80 or PIQ> 80,and reading or writing skills at least 2 years belowactual grade (for a discussion of IQ discrepancies indyslexia, see Fletcher, Shaywitz, Shankweiler, Katz, &et al., 1994; Miles, 1995; Siegel, 1992; Stanovich,1991; Tønnesen, 1995, 1997). Left-handers and chil-dren with a pre-school history of language impairmentwere over-represented in the dyslexia sample.
Information on language development was given byparents and/or in professional reports. Usually suchinformation is imprecise as to the nature of thelanguage problem, but terms such as ‘‘language delay’’,‘‘poor vocabulary’’ or ‘‘poor understanding’’ were fre-quently used, along with information stating that thechildren had been given or should have been givensome pre-school training. Half of the dyslexic subjectshad a history of language impairment in pre-schoolaccording to this information (see Table 1). Minorarticulation problems of high frequency in the Norwe-gian language (such as the phonemes /s/ or /r/), wereclassified as non-language impaired.
The Control group consisted of 20 pupils who hadnot received any special need education or been definedas needing such help. They came from six differentclasses in a rural area surrounding a major city, and allhad received all of their schooling in Norway. Half ofthem had just entered middle school/junior high school.Thus, few of these children had a shared educationalhistory. They were all volunteers by parental consent.
It should be noted that the Norwegian school systemis a public, unitary system, based on an ideology ofinclusion. There are legal consequences for failure toreport pupils with special needs. In contrast to majorlanguages, minority languages like Norwegian sufferfrom a lack of standardised tests.
AssessmentsTable 1 offers baseline statistics for the different groups(see description of dyslexia subgroups below). Forassessment of single word reading and spelling, theAston Index (Newton & Thomson, 1976) was used(dyslexia group only). Silent text reading and sentencedictation were assessed through a commonly usedscreening test in Norwegian schools, that is, theCarlsten test (Carlsten, 1982). The silent reading testcomprises an age-adjusted story with multiple choiceclosure tasks to check for comprehension. The subjects
are instructed to read as fast as they can for a maximumof 10 min, or report immediately if they complete aheadof the time limit. Words read per minute is thencalculated. The dictation test is made up of five sentencesto be read out to the subjects. The number of wordserratically spelled, is noted. Norm data matched for ageand gender on reading and writing were provided fromour data pool covering Norwegian pupils with no needfor special education. Naming speed was assessed by theStroop Colour Naming subtask of the Stroop ColourWord Test (Lund Johansen, Hugdahl, & Wester, 1996).All participants were subjected to testing of full scaleWISC–R (Wechsler, 1974). No effects of age or genderwere seen in the baseline data, but an effect of hand wasseen in PIQ in the dyslexia group, with a significanthigher score in right-handers as compared to left-handers(98.68 and 83.50, respectively, p< .02) (see Helland &Asbjørnsen (2001) for an overview and discussion oflaterality in dyslexia).
Language comprehension was assessed using theReceptive Language Test (Maul, 1989) containing 24sentences read out by the tester along with matchingpictures for the subjects to select. One point was givenfor each correct sentence response and 1/2 point foreach partly correct response (i.e. wrong sequencing) onthe picture marking task. The maximum score was 24points, with a clinical cut-off at 22 points. Due to thelevelling out of language development in early schoolyears, the expected ceiling effect occurred (median¼22.5 points). Significant correlations (Pearson) werefound between the Receptive Language Test and VIQof the WISC–R (Wechsler, 1974; r¼ .530, p< .000)and the Stroop Colour Naming Task (r¼ .552,p< .000), using both the Control group and the dyslexiagroup. The diagnostic features of subjects with scoresbelow the cut-off should be compatible with ‘‘mildcases’’ of the Mixed Receptive-Expressive LanguageDisorder (DSM-IV), where there ‘‘may be difficultiesonly in understanding particular types of words (e.g.,spatial terms) or statements (e.g., complex ‘‘if–then’’sentences)’’.
Mathematics abilities were assessed in the dyslexiagroup only. Mathematics impairment was defined if thepupil was registered by the school as in need of aspecial mathematics teaching programme. This wasreported in 22 (56.4%) of the dyslexic subjects. Furtherassessments were administered at the clinic. A key aimwas to see how each individual would perform onnumber calculation, managing carriers and remainders,and dealing with the combinations and changes ofhorizontal and vertical directions in paper and penciltasks. No standardised tests were available for thesejoint purposes (see Miller & Mercer, 1997). Sinceclinical experience supports the reports of mathematicsanxiety (Ashcraft et al., 1998) in many children withdyslexia, assessment was carried out on the basis of
212 TURID HELLAND & ARVE ASBJØRNSEN
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what each individual, as a starting point, was willing toshow or do. Thus, assessment was done in the followingmanner: After having read out loud selected numbersfrom 1 to 100, the subjects were to perform pencil taskson a blank sheet of paper, starting out with each subjectshowing algorithms which s/he mastered. Some of thesubjects did this with ease, starting with division.Others started out with very elementary tasks (i.e. with4þ 2¼ 6), in which case the test leader carefullyincreased the task demands, writing the tasks horizon-tally, leaving the subject to perform the needed row andcolumn operations with carriers and remainders. Toequalise classroom settings, there was as little oralcommunication as possible. The operations were scoredby levels as follows:
Level 1: uncertain as to the reading of numbers up to100.
Level 2: reads numbers up to 100.Level 3: masters addition with 2-digit numbers and
carriers.Level 4: masters subtraction with 2-digit numbers and
carriers.Level 5: masters multiplication with 2-digit numbers
and carriers.Level 6: masters division of 2-digit numbers by 1-digit
numbers, with carriers and remainders.
A subject attaining Level 3 should then have masteredaddition, but not subtraction, having erred as to the rowand column operation, the carrying or the calculations, orcombinations of these. The subject performances werecompatible with the school reports, since subjects with noreports of mathematics impairment had no problems withCalculation Levels 1–6, while none of the subjects withreported mathematics impairments reached CalculationLevel 6. Thus, this non-standardised procedure andtesting showed an expected ceiling effect. The perfor-mances of the subjects with reported mathematicsimpairments should be compatible with the DSM-IVcriteria of Mathematics Disorder.
SubgroupingThe dyslexia group was split by language comprehen-sion (L) and mathematics abilities (M) into foursubgroups. Language comprehension was defined byscores on the Receptive Language Test (Maul, 1989).Mathematics abilities were defined by school reports ofthe subject’s having received extra help in mathematicsor not. Plus (þ) meant normal performance, minus (�)meant impairment. These distinctions resulted in foursubgroups (see Table 2):
1. Lþ (n¼ 13): norm score (�22 points) on the Re-ceptive Language Test, no extra help in mathematics.
2. Lþ/M� (n¼ 10): norm score (�22 points) on theReceptive Language Test, extra help in mathematics.
3. L�/Mþ (n¼ 4): under norm score (<22 points) onthe Receptive Language Test, no extra help inmathematics.
4. L�/M� (n¼ 12): under norm score (<22 points)on the Receptive Language Test, extra help inmathematics.
Subgroup L�/Mþ was very small, leaving littlestatistical power. Preliminary analyses were carriedout on baseline data and experimental data, firstincluding all four subgroups, then excluding L�/Mþ,then on L�/Mþ versus L�/M�, and finally with the twosubgroups collapsed into one subgroup. This yielded nodifferences between L�/Mþ and L�/M� in baselinedata (i.e. VIQ: L�/Mþ¼ 86.50 (14.93) vs.L�/M�¼ 81.58 (14.19); PIQ: L�/Mþ¼ 93.75(18.39) vs. L�/M�¼ 93.75 (10.35); n.s. on two-tailed t-test, separate for both measures) or in theexperimental data. Hence, these two subgroups werecollapsed into one subgroup, L� (n¼ 16). See furthercomments in Data Analyses section. The scores on theReceptive Language Test and Calculation Level foreach subgroup with one-way ANOVAs are shown inTable 2.
As can be seen from Table 1, the dyslexia subgroupsscored significantly lower than the Control group on thereading and writing tasks and on the VIQ. Subgroupdifferences were seen in the Stroop Colour Naming Taskand PIQ, with Lþ showing little difference compared toControl, L� falling behind on the Stroop Colour NamingTask, and Lþ/M� falling behind on the PIQ.
Dependent VariablesAll applied visual tests are standardised with normativedata from Norwegian samples. For visual-sequentialmemory the ‘‘Visual-sequential Memory for Pictures’’(VSMP) and the ‘‘Visual-sequential Memory forSymbols’’ (VSMS) from the Aston Index (Newton &Thomson, 1976) were used. Both tasks contain 10 cardswith an increasing number of symbols/pictures shown tothe subjects in sequence for 5 s. Next, the subjects are topick out correct subset cards from a stack, and place themin correct order, that is, in accordance with the sequenceof symbols/pictures previously shown to them.
For visuo-spatial tasks, ‘‘Picture Completion’’,‘‘Picture Arrangement’’, ‘‘Block Design’’ and ‘‘ObjectAssembly’’ from the WISC–R (Wechsler, 1974) and theRey-Osterieth (RO) Complex Figures Test with theCopy (‘‘RO copy’’) and Recall (‘‘RO recall’’) condi-tions (Spreen & Strauss, 1991) were used.
ProcedureThe dyslexic subjects were tested individually as part ofclinical assessment. The Control subjects were testedindividually at their respective schools in undisturbed
VISUAL SKILLS IN DYSLEXIA 213
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Table 2. Scores on the Receptive Language Test and Calculation Level.
Group One-way ANOVA
(C) Control(n¼ 20)
(1) Lþ(n¼ 13)
(2) Lþ/M�(n¼ 10)
(3) L�(n¼ 16)
F, p Follow up test
Receptive Language Test (SD) 23.14 (0.74) 23.19 (0.75) 22.95 (0.64) 19.59 (1.63) 47.205, p< .001 (C), (1), (2) vs. (3)���Calculation Level (SD) n.a. 6.00 (0.00) 3.30 (1.16) 4.13 (1.50) 17.997, p< .001 (1) vs. (2), (3)���
Note. Receptive Language Test (Maul, 1989), max. score 24 points. Calculation Level: max. score 6 points. Dyslexia subgroups: see text. F and p values for one-wayANOVA with group (4: C, Lþ, Lþ/M�, L�) by tasks; p for follow up test (Tukey’s HSD): �p< .05; ��p< .01; ���p< .001.
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settings. Test procedures on the Aston Index andWISC–R subtests were according to test instructions.The RO was administered according to instructionsgiven in Spreen and Strauss (1991, pp. 341–363), butwith no shift of pencils. A small pilot study showed thatthis caused a distraction. To limit possible effects ofslow processing or motor impairments, no time limitwas set. However, no one exceeded the limits describedin the instructions. After a 30-min delay, spent pursuingother unrelated activities, the subjects were asked toredraw the figure from memory.
Data ScoringThe tasks were scored according to their instructions.Maximum score for the two sequential tasks from theAston Index was 10 points. For the WISC–R tasksscaled scores (ss) were used. Maximum score for thetwo RO tasks was 36 points. For a 30-min delayedrecall effect, a ‘‘Memory Index’’ was calculated by theformula (Copy�Recall/CopyþRecall)�100. Since asignificant difference was found in the PIQ betweenright-handers and left-handers, all the visual tasks wereanalysed for similar effects. No significant effects were
found (by correlation and t-test). Hence, hand pre-ference was not included as a co-variant.
Data AnalysesIn the initial analyses, the original L�/Mþ was treatedas a separate subgroup. It was then excluded from theanalyses, then analysed versus L�/M� only, and finallywith the two subgroups collapsed into L�. Thisprocedure did not yield any clarification as to anypossible difference between the two language impairedsubgroups. Hence only the analyses with the collapsedsubgroup L� are reported. For the dyslexia group, theReceptive Language Test scores and the CalculationLevel scores were inter-correlated and correlated to thevisual tests using Pearson Product Moment Correlation.There was no correlation between the ReceptiveLanguage Test and Calculation Level. As can be seenfrom Table 3, significant correlations were seenbetween Calculation Level and the visuo-spatial tasks.
For initial over all analyses, a two-way ANOVAwith repeated measures was used, with the basic designgroup (4: Control, Lþ, Lþ/M�, L�) by task. Forbetween-group analyses of all groups, one-wayANOVAs were executed with the basic design group(4: Control, Lþ, Lþ/M�, L�) by task. An alpha levelwas set to .05. Significant effects were followed up byPost Hoc Test (Tukey’s HSD). Since the subgroupswere small, the results of the analyses should beconsidered tentative.
RESULTS
As can be seen from Table 3, there was a
significant correlation between the Receptive
Language Test scores and VIQ and between
Calculation Level and PIQ. There was no cor-
relation between the Receptive Language Test
and any of the other separate visual tests. The
Calculation Level scores correlated significantly
with ‘‘Picture Completion’’, ‘‘Block Design’’,
‘‘Object Assembly’’ and the three RO scores,
indicating a dissociation between the linguistic
and visuo-spatial skills in the dyslexia group. The
VSMS, VSMP, and ‘‘Picture Arrangement’’
scores correlated with neither the Receptive
Language Test nor Calculation Level.
The visual test scores are shown in Table 4. A
two-way ANOVA with group (4: Control, Lþ,
Lþ/M�, L�) by task (2: VSMP, VSMP) showed
an effect of group: F(3, 55)¼ 2.875, p¼ .05, but
not of task or interaction. Tukey’s HSD test
Table 3. Correlations Between Test Scores in the Dys-lexia Group.
ReceptiveLanguage
Test
CalculationLevel
Receptive Language Test 1.00 .17Calculation Level .17 1.00
VIQ .42�� .06PIQ .06 .34�
VSMP .12 �.03VSMS �.22 �.08
Picture Completion .04 .50���Picture Arrangement .09 �.08Block Design �.01 .57���Object Assembly �.08 .33�
RO copy �.04 .47��RO recall .06 .51���Memory Index .03 �.45��
Note. VSMP: visual-sequential memory with pictures;VSMS: visual-sequential memory with symbols(Aston Index); Picture Completion; PictureAssembly; Block Design; Object Assembly(WISC–R); RO copy, RO recall, MI: MemoryIndex (Rey-Osterieth Complex Figure Test).Correlations (Pearson Product Moment Correla-tion): �p< .05; ��p< .01; ���p< .001.
VISUAL SKILLS IN DYSLEXIA 215
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Table 4. Visual-Sequential and Visuo-Spatial Tasks.
Group F, p Follow up test
(C) Control(n¼ 20)
(1) Lþ(n¼ 13)
(2) Lþ/M�(n¼ 10)
(3) L�(n¼ 16)
Aston IndexVSMP (SD) 8.68 (1.28) 8.40 (1.20) 8.40 (0.66) 8.30 (1.03) .373, n.s. –VSMS (SD) 9.40 (0.50) 8.25 (1.00) 8.56 (0.30) 8.79 (0.92) 7.064, p< .001 (C) vs. (1), (2)���
WISC–RPicture Completion (SD) 10.60 (2.68) 12.38 (2.36) 8.30 (2.36) 10.33 (2.61) 4.739, p< .005 (1) vs. (2)��Picture Arrangement (SD) 13.30 (3.02) 10.00 (3.22) 9.50 (3.14) 9.47 (2.23) 6.683, p< .001 (C) vs. (1)–(3)��Block Design (SD) 10.75 (3.42) 11.38 (2.50) 7.10 (3.11) 9.47 (2.64) 4.570, p< .01 (C), (1) vs. (2)��Object Assembly (SD) 11.55 (1.96) 11.38 (2.79) 8.40 (3.78) 10.47 (2.33) 3.479, p< .02 (C), (1) vs. (2)�
ROCopy (SD) 31.15 (2.84) 31.95 (2.95) 25.55 (8.44) 28.76 (4.80) 4.342, p< .01 (C), (1) vs. (2)�Recall (SD) 21.48 (6.76) 25.31 (5.67) 15.05 (9.76) 18.42 (8.17) 3.838, p< .01 (1) vs. (2)�Memory Index (SD) 20.06 (13.84) 12.20 (7.80) 34.51 (29.69) 25.12 (18.93) 3.161, p< .05 (1) vs. (2)�
Note. VSMP and VSMS: max. score¼ 10; Picture Completion; Picture Assembly; Block Design; Object Assembly: scaled scores; RO copy, RO recall: max.score¼ 36. Other abbreviations as in Tables 1–3. F and p values for one-way ANOVA with group (4: C, Lþ, Lþ/M�, L�) by tasks; p for follow up test(Tukey’s HSD): �p< .05; ��p< .01; ���p< .001.
21
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showed that the group effect was due to signifi-
cantly lower scores in Lþ versus Control
(p¼ .05).
A two-way ANOVA with group (4: Control,
Lþ, Lþ/M�, L�) by task (4: ‘‘Picture Comple-
tion’’, ‘‘Picture Arrangement’’, ‘‘Block Design’’,
‘‘Object Assembly’’) showed an effect of group:
F(3, 54)¼ 6.382, p< .000; no effect of task and a
significant effect of interaction: F(9, 162)¼3.236, p¼ .001. Tukey’s HSD test showed that
the group effect was due to significantly lower
scores in Lþ/M� versus Control and Lþ(p< .01), with no difference to L�. Tukey’s
HSD test showed that the effect of interaction
was mainly due to ‘‘Block Design’’ in Lþ/M�being significantly lower than all scores in Con-
trol and Lþ (p< .005), with the exception of
‘‘Picture Arrangement’’ in Lþ. ‘‘Block Design’’
in Lþ/M� was also significantly lower than
‘‘Picture Completion’’ and ‘‘Object Assembly’’ in
L� (p< .03) Further, ‘‘Picture Arrangement’’ in
Control was significantly higher than all scores
in Lþ/M� and L� (p< .01), and ‘‘Picture
Arrangement’’ in Lþ.
A two-way ANOVA with group (4: Control,
Lþ, Lþ/M�, L�) by task (2: ‘‘RO copy’’, ‘‘RO
recall’’) showed an effect of group: F(3, 55)¼4.765, p< .005, and task: F(1, 55)¼ 137.511,
p< .000, but not of interaction. Tukey’s HSD
test showed that the group effect was due to
significantly lower scores in Lþ/M� versus Con-
trol (p< . 05) and Lþ (p< .01), with no differ-
ence to L�. The effect of task showed, as
expected, that the ‘‘RO copy’’ scores were over
all significantly higher than the ‘‘RO recall’’
scores (p< .001). The data were further explored
using a test of interaction, which showed that the
‘‘RO recall’’ score in Lþ was significantly higher
(p< .001) than the ‘‘RO recall’’ scores of the
other two subgroups, with no difference to Con-
trol. Also, the ‘‘RO recall’’ score in Lþ/M� was
significantly lower (p< .01) than all other RO
scores, with the exception of the ‘‘RO recall’’
score of L�. The ‘‘RO copy’’ score in Lþ/M�was as low as the ‘‘RO recall’’ scores in Control
and Lþ.
The one-way ANOVAs are shown in Table 4.
There are four main features to be noted from the
table. First, the VSMP yielded no between-group
differences. Second, the VSMS showed a signifi-
cant difference in Control versus Lþ and Lþ/M�,
but no differences between the dyslexia sub-
groups. Third, ‘‘Picture Arrangement’’ yielded
significant differences between Control and each
of the dyslexia subgroups, but with no differences
between the subgroups. Fourth, subgroup Lþ/M�diverged significantly, with low scores on all the
other six tasks versus Lþ, and on four tasks versus
Control, but with no difference compared to
Control as to ‘‘RO recall’’ and ‘‘Memory Index’’.
DISCUSSION
The aim of this study was to assess visual-
sequential and visuo-spatial skills in dyslexia. A
group of dyslexic children were subgrouped by
language comprehension and mathematics skills,
in accordance with the definition by the British
Dyslexia Association (1998). It was hypothesised
that visual skills within dyslexia would vary
according to this subgrouping. The main findings
confirmed the hypothesis. Tests of correlation
indicated a dissociation between language com-
prehension skills and visuo-spatial skills. This
was also reflected in the between-group analyses.
Significant subgroup differences were seen in all
visuo-spatial tasks. The between-group differ-
ences increased with degree of task complexity
and abstraction, on the one hand, and with recall
load, on the other. These effects were especially
due to the fact that the subgroup with no language
comprehension impairment but with mathematics
impairment (Lþ/M�) gradually fell behind. The
group differences were minor on the visual-
sequential tasks, which is in accordance with the
studies by Vellutino (1978). Differences emerged
in the visuo-spatial tasks, however, by increasing
degree of abstraction and memory demands.
The main differences were found between the
two subgroups with no language comprehension
impairment, yet distinguished by mathematics
skills. The third subgroup, with combined lan-
guage comprehension and mathematics impair-
ment, did not differ significantly from either the
Control group or the other two dyslexia sub-
groups. Language comprehension skills did not
correlate with any of the visual tasks, whereas
VISUAL SKILLS IN DYSLEXIA 217
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mathematics skills did. This indicate that lan-
guage comprehension and visuo-spatial skills
affect dyslexia in different ways, as shown by
subgroup differences.
The subgroup with no language comprehension
or mathematics impairment (Lþ) scored in the
upper range of the norm on the visuo-spatial
tasks, showing the typical dyslexia profile
VIQ< PIQ. This may support the views of talented
visual skills in dyslexia (Wolff & Lundberg, 2002),
and of a strong ‘‘Sketchpad’’ within the Multi-
Component Model (Baddeley, 1986; Baddeley &
Hitch, 1974). As a consequence, the dyslexic
problems in this subgroup should be explained
by typical phonological problems within the
‘‘Phonological Loop’’ that do not affect language
comprehension or mathematics skills.
The subgroup with no language comprehen-
sion impairment, but with mathematics impair-
ment (Lþ/M�), deviated from the other two
subgroups according to the WISC–R profile
VIQ¼ PIQ. The subgroup did not differ from
the other subgroups as to the visual-sequential
tasks, but deviated significantly from both the
Control group and the Lþ subgroup on ‘‘Block
Design’’, ‘‘Object Assembly’’, and ‘‘RO copy’’.
In addition, the difference to Lþ alone was sig-
nificant on ‘‘Picture Completion’’, ‘‘RO recall’’
and ‘‘Memory Index’’. The low ‘‘RO copy’’ score
and the high ‘‘Memory Index’’ score indicate an
on-line visuo-spatial problem as well as a retrieval
problem in this subgroup. From the perspective of
the Multi-Component Model, the ‘‘Sketchpad’’
should be impaired. Since subgroup Lþ and
subgroup Lþ/M� both showed good language
comprehension abilities, the mathematics impair-
ment in Lþ/M� should be related to the low
visuo-spatial scores. This, in combination with
the phonological problems typical of dyslexia,
points to rather massive obstacles in reading,
writing and arithmetics.
The main feature of the collapsed subgroup
with language comprehension impairment (L�),
was that it, like subgroup Lþ, showed the WISC–
R profile typical of dyslexia, VIQ< PIQ, with
scores in a middle position between subgroups
Lþ and Lþ/M�. In contrast to subgroup Lþ/M�,
this subgroup did not show on-line visuo-spatial
problems, which leads to the tentative conclusion
that mathematics impairment for this subgroup
may primarily be linguistically based. This should
also explain the lack of variation in visuo-spatial
skills originally seen between the two collapsed
language impaired subgroups. According to this
interpretation, the good mathematics skills seen in
the four subjects of the collapsed subgroup could
then be explained by pedagogically well-adjusted
language in mathematics teaching. However, the
results of this subgroup should be interpreted with
caution, and the possibility that mathematics
impairment also in this subgroup may be asso-
ciated with visuo-spatial impairments should be
kept open.
In sum, the three dyslexic subgroups in this study
yielded differences as to visuo-spatial skills. The
results indicate that dyslexia should not be seen as
a typical phonological impairment only, but as a
phonological impairment that may or may not co-
occur with other cognitive factors such as language
comprehension impairment and visuo-spatial
impairment. Still, one cannot hold that visuo-spatial
impairment is an underlying cause of dyslexia, but
merely hypothesise that also visuo-spatial impair-
ments, when seen, affect the encoding, retrieval and
organising of symbols to create meaning.
Our main conclusion is that linguistic and
visuo-spatial impairments seem to exist more or
less independently in dyslexia, and therefore may
or may not co-occur. No ‘‘pure’’ visually impaired
subgroup was seen in this study. This supports the
view that processing impairment in dyslexia can
affect both visual and auditory functions (Stein,
in press). In dyslexia assessment, however, visuo-
spatial skills should be evaluated as a separate
indicator of dyslexia, along with an evaluation of
language comprehension and mathematics skills.
In this respect, this study adds new knowledge to
the current body of knowledge on dyslexia.
ACKNOWLEDGEMENTS
This research was funded by the Department of SpecialEducation, University of Oslo, for the first author, byEikelund Resource Centre, Bergen, for both authors,and by the Department of Psychosocial Science,University of Bergen, Norway and a grant from theMeltzer Foundation, for the second author.
218 TURID HELLAND & ARVE ASBJØRNSEN
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