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This guideline is intended to summarise the available literature, the advice provided by existing national guidelines and the information from current national practice on the choice of comparator, and to outline some of the challenges arising when establishing what the comparator for a specific assessment should be.
A readability survey actually gives the text to real people and determines how quickly they read it and how well they understood it. Using a readability formula is quick, cheap, easy, automated, and often free way to stick a number on a text. However, the results often differ significantly from the results of a readability survey.
Readability is the ease with which a reader can understand a written text. 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 , character spacing , and line length ).
A readability survey is a statistical survey of the ability of people to read given passages of text, written, formatted and/or laid-out in a variety of styles. The intent is to discover which are the preferable styles to use in order to maximise the ability of the reading audience to receive the intended message.
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 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. These averages are plotted onto a specific graph; the ...
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