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Selecting quantitative data for qualitative analysis: a case study connecting a lexicogrammatical pattern to rhetorical moves
Dalarna University, School of Humanities and Media Studies, English.
2014 (English)In: Journal of English for Academic Purposes, ISSN 1475-1585, E-ISSN 1878-1497, Vol. 16, p. 68-80Article in journal (Refereed) Published
Abstract [en]

Learner corpus research involves studying large collections of data to achieve a certain degree of representativeness, which means that it is often not doable to examine a full set of data qualitatively. An important issue, then, is how to select a subset for further qualitative analysis. This study illustrates a selection method, taking quantitative results as a starting-point, for a qualitative study of a lexicogrammatical pattern. Three configurations are examined, involving not only statistically significant differences (overuse and under-use), but also similarities (equal use). What is studied is the anticipatory it pattern ("It is however important to interpret these findings with caution") in apprentice writing in linguistics by learners and native speakers of English. The method yielded 463 tokens in 62 learner and 82 native-speaker essays. The research questions were (i) What are the connections between the selected subpatterns of anticipatory it and specific rhetorical moves? and (ii) Are there indications of learner behaviour in the connections between subpatterns and rhetorical moves? Most subpatterns were found to be specialised for a few moves. The two groups mostly used the subpatterns for the same rhetorical work, but the learners used important and clear subpatterns for a greater range of moves. 

Place, publisher, year, edition, pages
Elsevier, 2014. Vol. 16, p. 68-80
Keywords [en]
Learner corpus; Overuse; Underuse; Equal use; Rhetorical moves; Lexicogrammatical pattern
National Category
Specific Languages
Research subject
Research Profiles 2009-2020, Intercultural Studies
Identifiers
URN: urn:nbn:se:du-15459DOI: 10.1016/j.jeap.2014.09.001ISI: 000345428400007Scopus ID: 2-s2.0-84907666634OAI: oai:DiVA.org:du-15459DiVA, id: diva2:745720
Available from: 2014-09-11 Created: 2014-09-11 Last updated: 2021-11-12Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf