Q-matrix construction: Defining the link between constructs and test items in large-scale reading and listening comprehension assessments

Yasuyo Sawaki*, Hae Jin Kim, Claudia Gentile

*この研究の対応する著者

研究成果: Article査読

43 被引用数 (Scopus)

抄録

In cognitive diagnosis a Q-matrix (Tatsuoka, 1983, 1990), which is an incidence matrix that defines the relationships between test items and constructs of interest, has great impact on the nature of performance feedback that can be provided to score users. The purpose of the present study was to identify meaningful skill coding categories that reflect core language skills and processes assessed in the Reading and Listening sections of the Test of English as a Foreign LanguageTM Internet-based Test (TOEFL® iBT). The study was conducted as part of a research activity to explore the possibility of developing a detailed score report for low-stakes use by taking a cognitive diagnosis approach. Content experts conducted a test content analysis to develop draft Q-matrices, while measurement experts empirically analyzed the draft Q-matrices with examinee performance data using a cognitively diagnostic psychometric model called the fusion model (DiBello, Stout, & Roussos, 1995; Hartz, 2002). The draft Q-matrices were refined by repeating fusion model analysis and revision of skill definitions and item coding. This resulted in a set of Q-matrices that represented substantively meaningful score reporting categories of a suitable grain size for score reporting, while maintaining an acceptable level of examinee classification consistency.

本文言語English
ページ(範囲)190-209
ページ数20
ジャーナルLanguage Assessment Quarterly
6
3
DOI
出版ステータスPublished - 2009 7月

ASJC Scopus subject areas

  • 言語および言語学
  • 言語学および言語

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