G-TELPレベル3は、どの程度TOEICスコアを予測できるか  [in Japanese] To What Extent Can G-TELP (Level 3) Scores Predict TOEIC Scores?  [in Japanese]

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Abstract

The purpose of this study is twofold: (a) to investigate the possibility of predicting the scores of TOEIC tests from the scores of G-TELP Level 3 (General Test of English Language Proficiency) and its reliability and (b) to examine the reliability of the G-TELP Level 3 when the TOEIC score prediction is made by using the scores of each section of the G-TELP test (Grammar, Listening, Reading & Vocabulary sections). To do so, the data obtained from all freshmen of Nagasaki University in 2012 (N=1,365) were submitted for analyses. Simple regression analyses were conducted to predict the TOEIC scores from the total scores of G-TELP, along with careful scrutiny of possible outliers among the students. The analyses reveal that the overall fit of G-TELP Level 3 scores to TOEIC scores is sufficient and thus its reliability is also sufficient. A careful examination of the outliers, however, indicates that the fit among the higher scores is not adequate due to the fact that G-TELP Level 3 does not differentiate well enough TOEIC scores of 600 and higher. For the second purpose, multiple regression analyses were conducted to predict TOEIC scores (i.e. Listening, Reading, and Total scores) by using the scores of each section of the G-TELP test. The model to predict TOEIC total scores from scores of each section of the G-TELP fits best among the three models. The article concludes that G-TELP Level 3 would be an appropriate test to predict the TOEIC scores ranging from 400 to 600, although the official score conversion table (offered by International Testing Service Center) needs reconsideration. To predict TOEIC scores of 600 and higher, however, G-TELP Level 2 or Level 1 should be used instead of G-TELP Level 3.

Journal

  • Annual Review of English Learning and Teaching

    Annual Review of English Learning and Teaching (19), 45-63, 2014

    JACET Kyushu-Okinawa Chapter

Codes

  • NII Article ID (NAID)
    110009872491
  • NII NACSIS-CAT ID (NCID)
    AA12507402
  • Text Lang
    JPN
  • ISSN
    1343-3105
  • NDL Article ID
    025914106
  • NDL Call No.
    Z61-G86
  • Data Source
    NDL  NII-ELS  NDL-Digital 
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