By McNamara D.S., Graesser A.C., McCarthy P.M., Cai Z.
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Additional info for Automated Evaluation of Text and Discourse with Coh-Metrix
They found that low-knowledge readers beneﬁted from the added cohesion according to all of the comprehension and text recall measures. The size of the diﬀerence in comprehension scores can be measured using Cohen’s d (see Chapter 11 for a discussion of eﬀect sizes and their interpretation). 2013 7:32PM Automated Evaluation of Text and Discourse with Coh-Metrix Accordingly, the average diﬀerence between reading a low-cohesion version and a high-cohesion version for a low-knowledge reader was almost a full standard deviation.
Britton and Gulgoz manipulated an Original passage about the war in Vietnam, Air War in the North, from three diﬀerent theoretical perspectives. They created Heuristic, Readability Formula, and Principled versions of the passage. In the Heuristic revision, the authors used their own intuitive notions of better writing practice to improve the passage. Some information was reordered or clariﬁed, unimportant ideas were omitted, and important ideas were elaborated. , approximately grades 13–14). Most relevant here is the Principled version.
For example, consider the following examples: Smoking was forbidden. The store had inﬂammables. 6) Smoking was forbidden because the store had inﬂammables. 3 is not a compulsory rule of language; nonetheless, its addition facilitates the understanding of why smoking was forbidden. When discourse lacks cohesion, the reader must make inferences to connect the dots. These inferences can be generated by accessing prior text, everyday world knowledge, or subject matter knowledge associated with a particular area of specialization (called domain knowledge).
Automated Evaluation of Text and Discourse with Coh-Metrix by McNamara D.S., Graesser A.C., McCarthy P.M., Cai Z.