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dc.contributor.authorBuchan, James
dc.date.accessioned2018-06-29T21:36:26Z
dc.date.available2018-06-29T21:36:26Z
dc.date.issued2016-06-22
dc.identifierER4735
dc.identifier.citationBuchan, J. (2016) To leave or not to leave, Nursing Standard, vol. 30, , pp. 27-27,
dc.identifier.issn0029-6570
dc.identifier.urihttps://doi.org/10.7748/ns.30.43.27.s29
dc.identifier.urihttps://eresearch.qmu.ac.uk/handle/20.500.12289/4735
dc.description.abstractLies, damned lies and Brexit statistics. It's not been a good month for anyone espousing evidence-based policy and politics after the chair of the Commons health committee switched from Leave to Remain, citing misuse of data by the Leave campaign.
dc.description.abstractRecent research has suggested that elicitingdiadochokinetic (DDK) rate and accuracy in youngchildren is difficult [1], with analysis being timeconsuming.This paper details a new protocol forassessing DDK in young children or children withintellectual impairment (Down's syndrome) and amethod for calculating accuracy scoresautomatically. Accuracy scores were calculatedfrom auditory and electropalatographic analysesand found to correlate in some instances. Thechildren with Down's syndrome presented withsimilar DDK rates to typically-developing childrenbut reduced accuracy.
dc.format.extent27-27
dc.publisherRCNi
dc.relation.ispartofNursing Standard
dc.titleTo leave or not to leave
dc.typearticle
dcterms.accessRightsnone
dc.description.facultysch_nur
dc.description.volume30
dc.identifier.doihttp://doi:10.7748/ns.30.43.27.s29
dc.description.ispublishedpub
dc.description.eprintid4735
rioxxterms.typearticle
qmu.authorBuchan, James
dc.description.statuspub
dc.description.number43


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