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  2. Dale–Chall readability formula - Wikipedia

    en.wikipedia.org/wiki/Dale–Chall_readability...

    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.

  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. 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 ...

  5. Gunning fog index - Wikipedia

    en.wikipedia.org/wiki/Gunning_fog_index

    In linguistics, the Gunning fog index is a readability test for English writing. The index estimates the years of formal education a person needs to understand the text on the first reading. For instance, a fog index of 12 requires the reading level of a United States high school senior (around 18 years old).

  6. Fry readability formula - Wikipedia

    en.wikipedia.org/wiki/Fry_readability_formula

    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.

  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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