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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.
Books with quizzes in Accelerated Reader are assigned an ATOS readability level. This ATOS score is used by AR in combination with a book length to assign a point value to each book. [ 5 ] It can also be used by students to help choose books of appropriate reading levels.
Small books containing a combination of text and illustrations are then provided to educators for each level. [3] While young children display a wide distribution of reading skills, each level is tentatively associated with a school grade. Some schools adopt target reading levels for their pupils.
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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.
Additionally, many schools add .33 for a plus (+) grade and subtract .33 for a minus (−) grade. Thus, a B+ yields a 3.33 whereas an A− yields a 3.67. [ 18 ] A-plusses, if given, are usually assigned a value of 4.0 (equivalent to an A) due to the common assumption that a 4.00 is the best possible grade-point average, although 4.33 is awarded ...
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.
"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 ...