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A rendition of the Fry graph. The Fry readability formula (or Fry readability graph) is a readability metric for English texts, developed by Edward Fry. [1]The grade reading level (or reading difficulty level) is calculated by the average number of sentences (y-axis) and syllables (x-axis) per hundred words.
"The Flesch–Kincaid" (F–K) reading grade level was developed under contract to the U.S. Navy in 1975 by J. Peter Kincaid and his team. [1] Related U.S. Navy research directed by Kincaid delved into high-tech education (for example, the electronic authoring and delivery of technical information), [2] usefulness of the Flesch–Kincaid readability formula, [3] computer aids for editing tests ...
The automated readability index (ARI) is a readability test for English texts, designed to gauge the understandability of a text. Like the Flesch–Kincaid grade level, Gunning fog index, SMOG index, Fry readability formula, and Coleman–Liau index, it produces an approximate representation of the US grade level needed to comprehend the text.
The Dale–Chall readability formula is a readability test that provides a numeric gauge of the comprehension difficulty that readers come upon when reading a text. It uses a list of 3000 words that groups of fourth-grade American students could reliably understand, considering any word not on that list to be difficult.
Nevertheless, some continue to point out that a series of simple, short sentences does not mean that the reading is easier. [7] In some works, such as Gibbon's The History of the Decline and Fall of the Roman Empire, the fog scores using the old and revised algorithms differ greatly. A sample test took a random footnote from the text: (#51 ...
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A rendition of the Raygor Graph. The Raygor estimate graph is a readability metric for English text. It was developed by Alton L. Raygor, who published it in 1977. [1]The US grade level is calculated by the average number of sentences and letters per hundred words.
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related to: online reading level checkerreadingeggs.com has been visited by 10K+ users in the past month