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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.
"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 ...
One such strategy for improving reading comprehension is the technique called SQ3R introduced by Francis Pleasant Robinson in his 1946 book Effective Study. [28] Between 1969 and 2000, a number of "strategies" were devised for teaching students to employ self-guided methods for improving reading comprehension.
An overall composite score for reading was added with the 4th edition (WRAT4) in 2006; the WRAT5 update in 2017 included refinements to the Math Computation and Sentence Comprehension subtests, while maintaining the same overall structure of the assessment.
Students take different tests according to their grade level. In addition to these tests, students may be required to take tryouts and pilot tests. The following list is current as of spring 2017. It is required for a student to pass the English Language Arts, Mathematics and Science and Technology/Engineering portions of the Grade 10 test in ...
Test Of Word Efficiency (TOWRE) was first developed and published by Joseph K Torgesen, Richard Wagner and Carl Rashotte in 1999. [1] After its popularity and acclamation, [3] its second revision version was published in 2012 which is known as Test of Word Efficiency second edition (TOWRE - 2).
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