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    Empiricism versus connoisseurship: establishing the appropriacy of texts in tests of academic reading

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    Authors
    Green, Anthony
    Unaldi, Aylin
    Weir, Cyril J.
    Affiliation
    University of Bedfordshire
    Issue Date
    2010-04
    Subjects
    automated text analysis
    English for academic purposes
    reading
    language testing
    
    Metadata
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    Abstract
    This paper explores the potential of using information technology for the empirical measurement of contextual parameters identified in the socio-cognitive framework (the framework developed by CRELLA for test validation). Previously the level of difficulty represented by reading texts used in English Language tests has been estimated through expert judgement. The study, in contrast, employs computational tools for automated text analyses, demonstrating how relevant contextual features have been opened to empirical measurement by new technology. The techniques showcased in this paper allow for a more rigorous approach to reading test specification.
    Citation
    Green, A., Unaldi, A., Weir, C.J. (2010) 'Empiricism versus connoisseurship: Establishing the appropriacy of texts in tests of academic reading' Language Testing 27 (2):191
    Publisher
    Sage Journals
    Journal
    Language Testing
    URI
    http://hdl.handle.net/10547/224633
    DOI
    10.1177/0265532209349471
    Additional Links
    http://ltj.sagepub.com/cgi/doi/10.1177/0265532209349471
    Type
    Article
    Language
    en
    ISSN
    0265-5322
    1477-0946
    ae974a485f413a2113503eed53cd6c53
    10.1177/0265532209349471
    Scopus Count
    Collections
    CRELLA Centre for Research in English Language Learning and Assessment

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