Toward Automated Multi-trait Scoring of Essays: Investigating Links among Holistic, Analytic, and Text Feature Scores  

Oleh:

Lee, Yong-Won ; Gentile, Claudia ; Kantor, Robert

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Applied Linguistics (Full Text) vol. 31 no. 3 (Jul. 2010), page 391-417.
Fulltext: Vol 31, 3, p 391-417.pdf (284.79KB)

Isi artikel

The main purpose of the study was to investigate the distinctness and reliability of analytic (or multi-trait) rating dimensions and their relationships to holistic scores and e-rater essay feature variables in the context of the TOEFL computer-based test (TOEFL CBT) writing assessment. Data analyzed in the study were holistic and multi-trait essay scores provided by human raters and essay feature variable scores computed by e-rater (version 2.0) for two TOEFL CBT writing prompts. It was found that (i) all of the six multi-trait scores were not only correlated among themselves but also correlated with the holistic score, (ii) high correlations obtained among holistic and multi-trait scores were largely attributable to the impact of essay length on both holistic and multi-trait scoring, and (iii) some strong associations were confirmed between several e-rater variables and multi-trait rating dimensions. Implications are discussed for improving the multi-trait scoring of essays, refining e-rater essay feature variables, and validating automated essay scores.

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