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        <identifier>oai:www.ideals.illinois.edu:2142/108618</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Yan, Xun</dc:contributor>
          <dc:creator>Avci, Arzu</dc:creator>
          <dc:date>2020-10-07T22:44:39Z</dc:date>
          <dc:date>2020-10-07T22:44:39Z</dc:date>
          <dc:date>2022-10-07T22:44:53Z</dc:date>
          <dc:date>2020-07-16</dc:date>
          <dc:date>2020-08</dc:date>
          <dc:description>This study was an examination of the predictive value of complexity, accuracy and fluency (CAF) across proficiency levels and profiles in second language writing. 150 ESL essays of international students registered at a North American university were analyzed using various CAF measures. Descriptive statistics and one-way ANOVA results indicate that fluency is the strongest indicator of proficiency. Accuracy is also found to distinguish across proficiency levels. Length-based complexity measures are found to better predict proficiency while subordination is found to be a comparatively weak indicator. For lexical complexity, number of different words could better distinguish writers across proficiency levels. When results are analyzed for language profiles, it is found that syntactic complexity and accuracy better distinguish across profiles.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01</dc:description>
          <dc:description>The student, Arzu Avci, accepted the attached license on 2020-07-15 at 12:08.</dc:description>
          <dc:description>The student, Arzu Avci, submitted this Thesis for approval on 2020-07-15 at 12:24.</dc:description>
          <dc:description>This Thesis was approved for publication on 2020-07-16 at 18:47.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #15637 on 2020-10-02 at 15:33:38</dc:description>
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AVCI-THESIS-2020.pdf: 1139566 bytes, checksum: d538a0698835b205f65b3f90a28ca66a (MD5)
LICENSE.txt: 4206 bytes, checksum: 8e6f230c3ea0e63ab4253fd4cb9b6e19 (MD5)
  Previous issue date: 2020-07-16</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 116245
Lift date: 2022-10-07T22:44:53Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>U of I Only</dc:description>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>http://hdl.handle.net/2142/108618</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2020 Arzu Avci</dc:rights>
          <dc:subject>complexity</dc:subject>
          <dc:subject>accuracy</dc:subject>
          <dc:subject>fluency</dc:subject>
          <dc:subject>second language writing</dc:subject>
          <dc:subject>language testing</dc:subject>
          <dc:title>CAF across proficiency levels and profiles: an investigation of ESL student writings in an English placement test</dc:title>
          <dc:type>text</dc:type>
          <dc:type>Thesis</dc:type>
          <degree>
            <department>Linguistics</department>
            <discipline>Teaching of English Sec Lang</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.A.</name>
          </degree>
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