Formulae for evaluating the readability of text.
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We observed no other differences in readability metrics between fellowship and nonfellowship institutions.
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Grade-level readability was calculated using generalized estimating equations, with observations nested within readability metrics from each website.
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Readability metrics were calculated from PEMs using the TextStat 0.4.1 textual analysis package for Python 2.7.
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The mean Simple Measure of Gobbledygook grade level was 11.06 (SD 1.36).
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The mean readability score was 19.8 (6-32), indicative of poor accessibility by readability and complex vocabulary content.
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Readability scores of content in English were appropriate for high school pass audience.
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We estimated readability scores with the Flesch-Kincaid and Flesch Reading Ease Index methods.
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Information about CKD and diabetes consistently had higher readability scores.
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Analysis included recording the scope, source, readability scores and benchmarking the contents against previous recommendations for discharge information.
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Results: The readability scores for the data sample had a mean grade level of 9.45.
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All the leaflets had readability scores requiring at least secondary education (SMOG score equal or greater than 9).
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The American review was made by a ticket sales company, who used a Readability Score to determine what US grade-school reading level each track was.