Pinpointing the classifiers of English language writing ability: A discriminant function analysis approach

• Main Authors: Mohammad Ali Shams, Reza Pishghadam
• Format: Article
• Language: English
• Published: University of Isfahan 2013-02-01
• Series: Applied Research on English Language
• Subjects: L2 writing; L2 writing; narrative intelligence; depth and breadth of vocabulary; grammar; verbal intelligence; discriminant function analysis; narrative intelligence; depth and breadth of vocabulary; grammar; verbal intelligence; Discriminant function analysis
• Online Access: http://are.ui.ac.ir/article_15463_6506ffaf696bd8734ab70d85e29d5009.pdf

    The major aim of this paper was to investigate the validity of language and intelligence factors for classifying Iranian English learners` writing performance. Iranian participants of the study took three tests for grammar, breadth, and depth of vocabulary, and two tests for verbal and narrative intelligence. They also produced a corpus of argumentative writings in answer to IELTS specimen. Several runs of discriminant function analyses were used to examine the classifying power of the five variables for discriminating between low and high ability L2 writers. The results revealed that among language factors, depth of vocabulary (collocational knowledge) produces the best discriminant function. In general, narrative intelligence was found to be the most reliable predictor for membership in low or high groups. It was also found that, among the five sub-abilities of narrative intelligence, emplotment carries the highest classifying value. Finally, the applications and implications of the results for second language researchers, cognitive scientists, and applied linguists were discussed.Â