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A thesis submitted in partial fulfilment of - Queen Margaret University

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evaluated and amended (when required) through the prelim<strong>in</strong>ary and pilot<br />

studies us<strong>in</strong>g normal and post-stroke participants (non-aphasic and aphasic).<br />

Fourteen participants were recruited for the ma<strong>in</strong> <strong>in</strong>vestigation from local speech<br />

and language therapists, young stroke groups and local college. Participant<br />

attrition <strong>in</strong>volved two participants – one due to ill-health and one as a result <strong>of</strong><br />

visual difficulties that impaired her ability to use the stimuli. Twelve participants<br />

took part <strong>in</strong> the ma<strong>in</strong> <strong>in</strong>vestigation, ten <strong>of</strong> whom also participated <strong>in</strong> delayed<br />

recall assessment tasks. Participant age ranged between 33;11-64;04 years.<br />

Participants also presented with a wide range <strong>of</strong> years <strong>in</strong> education (9-21.5<br />

years), level <strong>of</strong> occupation (homemaker to pharmacist), severity <strong>of</strong> aphasia and<br />

cognitive abilities (mild to severely impaired) and were at different stages <strong>of</strong><br />

recovery from their stroke (5-146 months post-stroke). Immediate recall scores<br />

revealed a range <strong>of</strong> learn<strong>in</strong>g abilities from the highest recall score <strong>of</strong> 99% to the<br />

lowest <strong>of</strong> 15% <strong>of</strong> <strong>in</strong>formation about the new words <strong>in</strong> terms <strong>of</strong> word form, word<br />

mean<strong>in</strong>g and associated mean<strong>in</strong>gs. All ten participants reta<strong>in</strong>ed some<br />

<strong>in</strong>formation about the new vocabulary at delayed recall with the highest recall<br />

score be<strong>in</strong>g 82% and the lowest <strong>of</strong> 17.5%. When the immediate and delayed<br />

recall scores were compared it was noted that participants reta<strong>in</strong>ed from 49% to<br />

83% <strong>of</strong> <strong>in</strong>formation from the tra<strong>in</strong><strong>in</strong>g sessions. Qualitative data revealed<br />

similarities <strong>in</strong> errors made by the normal and aphasic population and also errors<br />

made by the aphasic population alone, suggest<strong>in</strong>g the impact <strong>of</strong> factors other<br />

than normal variation on learn<strong>in</strong>g the new vocabulary (see section 5.3.1).<br />

Factors that are thought to affect the restitution <strong>of</strong> language function (see<br />

section 2.6) were exam<strong>in</strong>ed to ascerta<strong>in</strong> if they also impacted upon the ability to<br />

learn new vocabulary us<strong>in</strong>g Hierarchical Cluster analyses and Correlation<br />

statistics (see section 5.18 and sub-sections). The f<strong>in</strong>d<strong>in</strong>gs revealed that some<br />

<strong>of</strong> those factors that <strong>in</strong>fluence the recovery <strong>of</strong> language function also impact<br />

upon the ability to make new language representations, <strong>in</strong> particular, personal<br />

attributes, cognitive function<strong>in</strong>g (with the exception <strong>of</strong> the non-l<strong>in</strong>guistic learn<strong>in</strong>g<br />

287

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