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A thesis submitted in partial fulfilment of - Queen Margaret University

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5.5.1.1 Personal attributes<br />

C1 was aged 39.05 at the time <strong>of</strong> the <strong>in</strong>vestigation and was one <strong>of</strong> the youngest<br />

participants. It would therefore be predicted that C1 would learn more new<br />

vocabulary than older participants. C1 had spent 21.5 years <strong>in</strong> education and<br />

would be expected to have highly developed skills <strong>in</strong> learn<strong>in</strong>g (see section<br />

2.6.1.2). Employed as a Trad<strong>in</strong>g Standards Officer, C1 would have used skills <strong>in</strong><br />

be<strong>in</strong>g attentive to detail, absorb<strong>in</strong>g complex <strong>in</strong>formation and have good<br />

communication skills (www.learndirect-advice.co.uk - pr<strong>of</strong>ile 209). C1’s selfrat<strong>in</strong>g<br />

for anxiety and depression placed her with<strong>in</strong> normal limits and she was 66<br />

months post-stroke. It would be predicted that C1’s personal attributes would<br />

contribute favourably <strong>in</strong> learn<strong>in</strong>g the new vocabulary.<br />

5.5.1.2 Cognitive abilities and the capacity to learn<br />

The sub-tests <strong>of</strong> CLQT <strong>in</strong>dicate that C1’s cognitive abilities were considered to<br />

be with<strong>in</strong> normal limits. She demonstrated the capacity to learn new <strong>in</strong>formation<br />

by achiev<strong>in</strong>g 100% for the immediate and delayed recall <strong>of</strong> the non-l<strong>in</strong>guistic<br />

task. It was therefore predicted that cognitive abilities would enhance the ability<br />

<strong>of</strong> C1 to learn the new vocabulary <strong>in</strong> particular <strong>in</strong>tact attention and memory.<br />

5.5.1.3 Severity <strong>of</strong> aphasia<br />

The language sub-test <strong>of</strong> the CLQT <strong>in</strong>dicated that C1’s language abilities were<br />

with<strong>in</strong> normal limits. Her language screen<strong>in</strong>g scores are displayed <strong>in</strong> Table 5.8<br />

for each task and mapped on to a cognitive neuropsychology model <strong>in</strong> Figure 5ii<br />

below. C1’s language data <strong>in</strong>dicated that she had difficulties <strong>in</strong> repeat<strong>in</strong>g,<br />

read<strong>in</strong>g aloud and spell<strong>in</strong>g non-words (suggest<strong>in</strong>g impairments <strong>in</strong> LPC, APC,<br />

PLC, POB and GOB pathways). While the data <strong>in</strong>dicates that C1 could name,<br />

read, repeat and spell s<strong>in</strong>gle words, qualitative data revealed that her connected<br />

speech was hesitant and conta<strong>in</strong>ed many fillers (e.g. um, eh) and pauses that<br />

disturbed the flow <strong>of</strong> her speech (see narration <strong>of</strong> the C<strong>in</strong>derella story <strong>in</strong><br />

Appendix 5.3a).<br />

153

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