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2013 Fiscal Year Final Research Report

A quantitative synthesis of data on the structure of L1 and L2 language ability

Research Project

  • PDF
Project/Area Number 23720283
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Foreign language education
Research InstitutionShibaura Institute of Technology (2012-2013)
Toyohashi University of Technology (2011)

Principal Investigator

INNAMI Yo  芝浦工業大学, 工学部, 准教授 (80508747)

Project Period (FY) 2011 – 2013
Keywords能力構造 / 第二言語 / メタ分析 / 再分析 / 教育評価 / 測定 / 共分散構造分析 / 統合
Research Abstract

To gather comprehensive empirical evidence on the structure of L2 language abilities, we used confirmatory factor analysis to reanalyze 17 multitrait multimethod correlation or covariance matrices taken from 14 studies. We investigated the four structures of language ability--unitary, correlated, uncorrelated, and higher-order--to discover the one that is most often supported in L2 studies. The results showed that the most probable candidates for L2 ability structure were the unitary and higher-order structures. The support for the unitary model was surprising but consistent with the findings of Davidson (1988). The moderator variable analyses failed to identify clear relationships between best-fitting structures and moderator variables.

  • Research Products

    (7 results)

All 2013 2012 2011

All Journal Article (4 results) (of which Peer Reviewed: 4 results) Presentation (1 results) Book (2 results)

  • [Journal Article] Review of sample size for structural equation models in second language testing and learning research : A Monte Carlo approach2013

    • Author(s)
      In'nami, Y., & Koizumi, R.
    • Journal Title

      International Journal of Testing (Taylor & Francis/Routledge/Informaworld, UK & USA)

      Volume: 13 Pages: 329-353

    • DOI

      10.1080/15305058.2013.806925

    • Peer Reviewed
  • [Journal Article] A quantitative reanalysis of data on the structure of L1 and L2 language ability in multitrait-multimethod studies2012

    • Author(s)
      In'nami, Y., & Koizumi, R.
    • Journal Title

      Asian EFL Journal (Academic Scholars Publishing House, Australia)

      Volume: 14 Pages: 213-264

    • URL

      http://asian-efl-journal.com/quarterlyjournal/2012/09/17/a-quantitative-reanalysis-of-data-on-the-structure-of-l1-and-l2-language-ability-in-multitrait-multimethod-studies/

    • Peer Reviewed
  • [Journal Article] Factor structure of the revised TOEICR test : A multiple-sample analysis2012

    • Author(s)
      In'nami, Y., & Koizumi, R.
    • Journal Title

      Language Testing (SAGE Publications, UK & USA)

      Volume: 29 Pages: 131-152

    • DOI

      10.1177/0265532211413444

    • Peer Reviewed
  • [Journal Article] Structural equation modeling in language testing and learning research : A review2011

    • Author(s)
      In'nami, Y., & Koizumi, R.
    • Journal Title

      Language Assessment Quarterly (Taylor & Francis/Routledge/Informaworld, UK & USA)

      Volume: 8 Pages: 250-276

    • DOI

      10.1080/15434303.2011.582203

    • Peer Reviewed
  • [Presentation] A multiple-sample analysis of factor structure of the revised TOEICR test2011

    • Author(s)
      In'nami, Y., & Koizumi, R.
    • Organizer
      the KELTA (Korea English Language Testing Association) 2011 International Conference
    • Place of Presentation
      Seoul, South Korea. ソウル大学 (Paper presented)
    • Year and Date
      2011-08-20
  • [Book] Statistics for test revisions. Companion to language assessment (A. Kunnan (Ed.))2013

    • Author(s)
      In'nami, Y., & Koizumi, R.
    • Total Pages
      925-943
    • Publisher
      New York : Wiley-Blackwell
  • [Book] Structural equation modeling in educational research : A primer. Applications of structural equation modeling in educational research and practice (M. S. Khine (Ed.))2013

    • Author(s)
      In'nami, Y., & Koizumi, R.
    • Total Pages
      23-51
    • Publisher
      Rotterdam, the Netherlands : Sense Publishers

URL: 

Published: 2015-06-25  

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