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International Journal of Educational Curriculum Management and Research, 2023, 4(3); doi: 10.38007/IJECMR.2023.040301.

A Comparative Study of Reading Text Difficulty of CET-6 and IELTS Based on Coh-Metrix


Yian Zhang and Guangping Sun

Corresponding Author:
Guangping Sun

Ningbo Tech University, Ningbo, Zhejiang, China


This study aims to compare the text complexity of reading texts from CET-6 and IELTS using Coh-Metrix, SPSS, and Range. The study found that IELTS reading texts are generally more complicated than those of CET-6 in terms of readability, and there are inherent differences between the two sets of texts. Compared with IELTS reading texts, those of CET-6 exhibit higher narrativity, and higher connectivity, while lower word concreteness, and lower referential cohesion. This reflects the nature of the complexity of a text, namely, referential cohesion can help readers better understand the articles with difficult topics; Moreover, there is no positive relationship between word concreteness and lexical resources. 


IELTS, CET-6, Text Complexity, Reading Comprehension

Cite This Paper

Yian Zhang and Guangping Sun. A Comparative Study of Reading Text Difficulty of CET-6 and IELTS Based on Coh-Metrix. International Journal of Educational Curriculum Management and Research (2023), Vol. 4, Issue 3: 1-8. https://doi.org/10.38007/IJECMR.2023.040301.


[1] Wolf Merel C., et al. The Effects of Input Modality, Word Difficulty and Reading Experience on Word Recognition Accuracy. COLLABRA-PSYCHOLOGY, 2021,7(1) https://doi.org/10.1525/COLLABRA.24919

[2] Chang, P., Tsai, C. C. & Chen, P. J. Organization Strategies in EFL Expository Essays in a Content-Based Language Learning Course. The Asia-Pacific Education Researcher, 2020, 29(2): 183-197.

[3] Latifi, S. & Gierl, M. Automated scoring of junior and senior high essays using  Coh-metrix features: Implications for large-scale language testing. Language Testing, 2021, 38(1): 62-85. https://doi.org/10.1177/0265532220929918

[4] Monica, K. M., Endang S. & Teguh S. Using Conventional Rubric and Coh-metrix to Assess EFL Students' Essays. International Journal of Language Education, 2021, 4(5): 260-270.

[5] Jiyoung L. A Coh-Metrix Analysis of the English Editorials of Korean, American, and British University Students. Modern English Education, 2020, 21(3). https://doi.org/10.18095/MEESO.2020.21.3.15

[6] Wang J., Engelhard G., & Combs T. Exploring difficult-to-score essays with a hyperbolic cosine accuracy model and Coh-Metrix indices. The Journal of Experimental Education 2023, 91(1). https://doi.org/10.1080/00220973.2021.1993774.

[7] McNamara, D. S., Graesser, A. C., McCarthy, P. M. & Cai, Z. Automated Evaluation of Text and Discourse with Coh-Metrix. New York: Cambridge University Press, 2014. https://doi.org/10.1017/CBO9780511894664

[8] Graesser, A. C., McNamara, D. S. & Kulikowich, J. Coh-Metrix: Providing Multilevel Analyses of Text Characteristics. Educational Researcher, 2011, 40(5): 223-234. https://doi.org/10.3102/0013189X11413260 

[9] Graesser, A. C. & McNamara, D. S. Computational Analysis of Multilevel Discourse Comprehension. Topics in Cognitive Science, 2011, 3(2): 371-398. https://doi.org/10.1111/j.1756-8765.2010.01081.x

[10] McNamara, D. S., Graesser, A. C. & Louwerse, M. M. Sources of text Difficulty:Across Genres and Grades. In J. P. Sabatini, E. Albro & T. O' Reilly (ed.). Measuring Up: Advances in How We Assess Reading Ability. Plymouth, UK: Rowman & Littlefield Education, 2012.