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dc.contributor.authorDurrant, P
dc.contributor.authorMoxley, J
dc.contributor.authorMcCallum, L
dc.date.accessioned2019-04-03T08:43:24Z
dc.date.issued2019
dc.description.abstractRecently-developed tools which quickly and reliably quantify vocabulary use on a range of measures open up new possibilities for understanding the construct of vocabulary sophistication. To take this work forward, we need to understand how these different measures relate to each other and to human readers' perceptions of texts. This study applied 356 quantitative measures of vocabulary use generated by an automated vocabulary analysis tool (Kyle & Crossley, 2014) to a large corpus of assignments written for First Year Composition courses at a university in the United States. Results suggest that the majority of measures can be reduced to a much smaller set without substantial loss of information. However, distinctions need to be retained between measures based on content vs. function words and on different measures of collocational strength. Overall, correlations with grades are reliable but weak.en_GB
dc.identifier.citationAwaiting citation and DOIen_GB
dc.identifier.urihttp://hdl.handle.net/10871/36712
dc.language.isoenen_GB
dc.publisherJohn Benjamins Publishingen_GB
dc.rights.embargoreasonUnder temporary indefinite embargo pending publication by John Benjamins Publishing. No embargo required on publication
dc.subjectfreshman compositionen_GB
dc.subjectacademic writingen_GB
dc.subjectvocabularyen_GB
dc.subjectvocabulary sophisticationen_GB
dc.subjectwriting assessmenten_GB
dc.titleVocabulary sophistication in first-year composition assignmentsen_GB
dc.typeArticleen_GB
dc.date.available2019-04-03T08:43:24Z
dc.identifier.issn1384-6655
dc.descriptionThis is the author accepted manuscripten_GB
dc.identifier.journalInternational Journal of Corpus Linguisticsen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2019-02-15
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2019-02-15
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-04-02T15:28:20Z
refterms.versionFCDAM
refterms.panelCen_GB


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