Understanding expert ratings of essay quality: Coh-Metrix analyses of first and second language writing
Abstract
This article reviews recent studies in which human judgements of essay quality are assessed using Coh-Metrix, an automated text analysis tool. The goal of these studies is to better understand the relationship between linguistic features of essays and human judgements of writing quality. Coh-Metrix reports on a wide range of linguistic features, affording analyses of writing at various levels of text structure, including surface, text-base, and situation model levels. Recent studies have examined linguistic features of essay quality related to co-reference, connectives, syntactic complexity, lexical diversity, spatiality, temporality, and lexical characteristics. These studies have analysed essays written by both first language and second language writers. The results support the notion that human judgements of essay quality are best predicted by linguistic indices that correlate with measures of language sophistication such as lexical diversity, word frequency, and syntactic complexity. In contrast, human judgements of essay quality are not strongly predicted by linguistic indices related to cohesion. Overall, the studies portray high quality writing as containing more complex language that may not facilitate text comprehension.
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The participants may find it challenging to write a high-quality composition where low frequency vocabulary is needed.
“Thus, the participants may find it challenging to write a high-quality composition where low frequency vocabulary is needed (Crossley & McNamara, 2011;Olinghouse & Wilson, 2013).”
From The Vocabulary Knowledge of Saudi EFL Tertiary Students (2019) · cites this paper as Crossley & McNamara, 2011
There is a correlation between employing low frequency vocabulary and high writing scores.
“A correlation was found between employing low frequency vocabulary and high writing scores (Crossley & McNamara, 2011).”
From The Vocabulary Knowledge of Saudi EFL Tertiary Students (2019) · cites this paper as Crossley & McNamara, 2011
There is a high correlation between vocabulary knowledge and writing skill.
“High correlation was found between vocabulary knowledge and writing skill in a number of studies (e.g.Yu, 2010; Crossley & McNamara, 2011;Olinghouse & Wilson, 2013).”
From The Vocabulary Knowledge of Saudi EFL Tertiary Students (2019) · cites this paper as Crossley & McNamara, 2011
Cites
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Computational analyses of multilevel discourse comprehension
Graesser, A. C., & McNamara, D. S. (2011) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2010.01081.x · Cited by 325 · see citing works
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The Vocabulary Knowledge of Saudi EFL Tertiary Students
Altalhab, S. (2019) · English Language Teaching · doi:10.5539/elt.v12n5p55 · Cited by 12 · see citing works
“A correlation was found between employing low frequency vocabulary and high writing scores (Crossley & McNamara, 2011).”
Background
- Authors
- Crossley, S. A., & McNamara, D. S.
- Affiliations
- Georgia State University (US)
- University of Memphis (US)
- Venue
- International Journal of Continuing Engineering Education and Life-Long Learning
- Publisher
- Inderscience Publishers
- Published
- 2011
- Volume
- 21
- Issue
- 2/3
- Pages
- 170
- ISSN
- 1560-4624 (ISSN-L)
- 1741-5055
- OpenAlex
- W2008455588
- Semantic Scholar
- b5dfb3a92c55f6ef50c8442e91828568240ab31c
- Cited by
- 103
- References
- 2
- Citations by year
- 2026: 13 · 2025: 4 · 2024: 3 · 2023: 4 · 2022: 5 · 2021: 7 · 2020: 7 · 2019: 6 · 2018: 9 · 2017: 9 · 2016: 8 · 2015: 6 · 2014: 9 · 2013: 5 · 2012: 6
- FWCI
- 130.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Continuing Engineering Education and Life-Long Learning (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Discourse Analysis in Language Studies
- Social Sciences › Psychology › Developmental and Educational Psychology › Second Language Acquisition and Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Text Readability and Simplification
- Keywords
- essay quality, Coh-Metrix, linguistic features, first language writing, second language writing, lexical diversity, syntactic complexity, coreference, cohesion, connectives, text comprehension, situation model, word frequency
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