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  2. Flesch–Kincaid readability tests - Wikipedia

    en.wikipedia.org/wiki/Flesch–Kincaid...

    "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 ...

  3. Automated readability index - Wikipedia

    en.wikipedia.org/wiki/Automated_readability_index

    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.

  4. Fountas and Pinnell reading levels - Wikipedia

    en.wikipedia.org/wiki/Fountas_and_Pinnell...

    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. This is the grade-level equivalence chart recommended by Fountas & Pinnell. [4] [5]

  5. Readability - Wikipedia

    en.wikipedia.org/wiki/Readability

    Readability is the ease with which a reader can understand a written text.The concept exists in both natural language and programming languages though in different forms. In natural language, the readability of text depends on its content (the complexity of its vocabulary and syntax) and its presentation (such as typographic aspects that affect legibility, like font size, line height ...

  6. Coleman–Liau index - Wikipedia

    en.wikipedia.org/wiki/Coleman–Liau_index

    The Coleman–Liau index is a readability test designed by Meri Coleman and T. L. Liau to gauge the understandability of a text. Like the Flesch–Kincaid Grade Level, Gunning fog index, SMOG index, and Automated Readability Index, its output approximates the U.S. grade level thought necessary to comprehend the text.

  7. READ 180 - Wikipedia

    en.wikipedia.org/wiki/READ_180

    READ 180 was founded in 1985 by Ted Hasselbring and members of the Cognition and Technology Group at Vanderbilt University.With a grant from the United States Department of Education’s Office of Special Education, Dr. Hasselbring developed software that used student performance data to individualize and differentiate the path of computerized reading instruction. [3]

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